| Description: | An introduction to the vast and diverse field of biomedical engineering (BME), this very challenging course has two main purposes. One is to teach students -- via lectures, reading assignments, homework and exams, to think on their own, to solve problems, and how engineering principles are applied to the areas of bioelectricity, biomechanics, biomolecules, biotechnology, and bioimaging. The second is to introduce students, via guest lectures by school of medicine and engineering faculty, to some of the fascinating and challenging ongoing research in these areas. By the end of the course students will have begun to acquire the skills and approaches necessary to succeed in the engineering curriculum as well as a much more in-depth and informed perspective of BME. Corequisites: Phys. 117A or 197, Chem 111A, and college level calculus. |
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| | 01 | M-W---- | 2:30P-3:50P | Whitaker / 100 | Klaesner, J, Widder, Vahey, M, Dai | Paper/Project/TakeHome | 140 | 4 | 0 | Desc: | Please note that during the semester some of the Wednesday classes will be held in the computer lab and teaching labs. |
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| Description: | Electricity is central to normal and abnormal biological function, spanning scales from the subcellular to whole systems. Scientists and engineers also use electrical engineering to design and implement interaction with biological tissue, from classical physiological experiments to cutting-edge brain-computer interfaces. This course will begin study of bioelectrical engineering, by introducing simple electrical elements, circuits, amplifiers, and instrumentation. Relevant biological examples and computer modeling will be used throughout. The lab component will provide hands-on laboratory practice with simple electrical elements, circuits, amplifiers, instrumentation, and computer modeling, with a focus on biomedical applications. BME 220 fulfills the circuits requirement for BME students in place of ESE 230. Prerequisite: L31 Phys 192/192L; Corequisite: L24 Math 217 |
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| | 01 | -T-R--- | 1:00P-2:20P | Brauer Hall / 012 | Thoroughman, Klaesner, O'Brien | Dec 17 2024 1:00PM - 3:00PM | 72 | 3 | 0 | | |
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| Description: | Principles of static equilibrium and solid mechanics applied to the human anatomy and a variety of biological problems. Statics of rigid bodies with applications to the musculoskeletal system. Mechanics of deformable media (stress, strain; stretching, torsion, and bending) with introduction to nonlinear behavior, viscoelasticity, and growth in living tissue. Applications to cells, bone, muscle, arteries, the heart, and the cochlea. Prerequisites: L31 Phys 191 or 193 |
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| | 01 | -T-R--- | 2:30P-3:50P | Whitaker / 218 | Shao, J-Y, Setton, L | Dec 18 2024 3:30PM - 5:30PM | 52 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | A course (lectures, recitation and supervised laboratory sections) designed to elaborate the physiological background necessary for advanced work in biomedical engineering. A quantitative model-oriented approach to physiological systems is stressed. Topics include bioinstrumentation, eye movement, muscle mechanics, action potentials, sensory systems, neuroprosthetics. Prerequisites: BME 140, CSE 131, ESE 230, Biol 3058 (Previously Biol 3050 or 3059), ESE 319, or permission of instructor. |
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| | 01 | -T-R--- | 1:00P-2:20P | Whitaker / 100 | Widder, Silva, Barbour, D | Exam last day of class | 108 | 63 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| A | ---R--- | 2:30P-6:20P | Whitaker / 130 | Widder, Barbour | Default - none | 28 | 11 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| B | ---R--- | 2:30P-6:20P | Brauer Hall / 2011 | Widder, Barbour | Default - none | 26 | 13 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| C | ----F-- | 9:00A-12:50P | Whitaker / 130 | Widder, Barbour | Default - none | 24 | 24 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| D | ----F-- | 9:00A-12:50P | Whitaker / 135 | Widder, Barbour | Default - none | 24 | 15 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course covers the foundations of thermodynamics with strong emphasis on concepts and the translation of concepts. Topics to be covered include the first and second laws of thermodynamics, probabilistic descriptions of entropy, consequences of the first and second laws in ideal and non-ideal single- and multicomponent systems, free energies as descriptors of equilibria in laboratory and biological systems, chemical equilibria, phase equilibria, treatment of aqueous solvents and mixtures, colligative properties, thermodynamics of protein folding, and protein binding equilibria. The material, the lectures, and the homeworks emphasize learning that enables the translation of concepts into mathematical analysis. A strong background in differential calculus of multiple variables and differential equations (Math 217) is required. Emphasis is placed on regular homeworks and working in collaborative groups. The main textbook for the course will be "Molecular Driving Forces: Statistical Thermodynamics in Chemistry and Biology", 2nd edition by Ken A. Dill and Sarina Bromberg published by Garland Science. The lectures and course notes will also draw on other sources including the classical book by Herbert Callen. |
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| | 01 | M-W---- | 11:30A-12:50P | Whitaker / 100 | Pappu | Dec 17 2024 10:30AM - 12:30PM | 75 | 49 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 2:30P-3:50P | Whitaker / 216 | Shao, J-Y, Rudra, J | Dec 16 2024 3:30PM - 5:30PM | 50 | 24 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 02 | TBA | | TBA | Moran | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 03 | TBA | | TBA | Hu | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 04 | TBA | | TBA | Bauer | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 05 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 06 | TBA | | TBA | Zhou | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| | 01 | TBA | | TBA | Bauer | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 02 | TBA | | TBA | Zhu | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 03 | TBA | | TBA | Raman | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 04 | TBA | | TBA | Silva | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| 05 | TBA | | TBA | McPherson | Default - none | 0 | 0 | 0 | Desc: | Once proposal is approved, the BME department will register you for the approved credits. |
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| | 01 | TBA | | TBA | Zhu | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Harris | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Huebsch | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Hu | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Widder | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | McPherson | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Widder | Default - none | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Cui | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ray | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Widder | Default - none | 0 | 0 | 1 | | |
| 07 | TBA | | TBA | Wagenseil | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Lake | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Harris | Default - none | 0 | 0 | 1 | | |
| 11 | TBA | | TBA | Hu | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Raman | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Klaesner | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | MacEwan | Default - none | 0 | 0 | 0 | | |
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| Description: | A hands-on design experience to provide students practical application of engineering. Working in small teams, students will either meet with possible clients to discern a biomedical problem, or bring an original idea of their own to the class. The students will work on an original design or redesign of a component or system of biomedical engineering significance. The students will be taught how to craft a project scope with the required design specifications. The design experience will require application of knowledge and skills acquired in earlier coursework; it will incorporate engineering standards and realistic constraints that include most of the following considerations: economic, environmental, sustainability, manufacturability, ethical, health and safety, FDA, social, and political. Students will prepare written reports and present their designs orally to a panel of faculty members and industrial representatives. The final product of BME 401A will be a descriptive paper design of their solution. Prerequisite: BME Senior Standing |
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| | 01 | M-W---- | 4:00P-5:20P | Whitaker / 100 | Klaesner, Schreiber, Rutz | No final | 75 | 73 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course will cover data analysis, statistical methods, AI, machine learning, predictive modeling, and data visualization, with applications to medicine and health. As part of the course, BME faculty will present biomedical data science topics from their research areas. Students will learn to prepare, transform, visualize, validate, model, and communicate information about datasets, and they will design and implement an independent project to address a biomedical data science problem. Prior Python experience required. Prerequisites: E35 ESE 318, MEMS 201, or Math309; E35 ESE 326, ENG 328, Math 2200 or Math 3200; E62 BME 231 or E81 CSE 217A or equivalent courses |
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| | 01 | -T-R--- | 11:30A-12:50P | Brauer Hall / 012 | Silva, Raman | Dec 16 2024 1:00PM - 3:00PM | 43 | 43 | 7 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 2:30P-3:50P | Whitaker / 218 | Jha, A | Dec 16 2024 3:30PM - 5:30PM | 35 | 23 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | Whitaker / 218 | Moran, D | No final | 75 | 23 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 2:30P-3:50P | Whitaker / 216 | Rutz, Schreiber | Paper/Project/TakeHome | 0 | 0 | 37 | | |
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| | 01 | -T-R--- | 8:30A-9:50A | Whitaker / 216 | Chen | Dec 13 2024 1:00PM - 3:00PM | 30 | 25 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Snyder, L. | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Moran | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Tang | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Kovacs | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Diantonio, A | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Setton | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Wickline | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Seanez | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Mitra | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Guilak, F. | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Havranek, J | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Yin | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Okamoto | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Genin, G | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Wang, Xiaowei | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Shaw | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Cui | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Culver | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Jha | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Jay | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Snyder, A. | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Barch | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Elson | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Rudy | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shao | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Miller | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Lake, S | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Marshall | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Bridgman | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Ponder | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Silva, Matt | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Elbert | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Hu | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Pathak, A | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Bark | Default - none | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Pappu | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Stormo | Default - none | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | Default - none | 0 | 0 | 0 | | |
| 47 | TBA | | TBA | Zhu | Default - none | 0 | 0 | 0 | | |
| 48 | TBA | | TBA | Thoroughman | Default - none | 0 | 0 | 0 | | |
| 49 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 50 | TBA | | TBA | Lanza | Default - none | 0 | 0 | 0 | | |
| 51 | TBA | | TBA | Burton | Default - none | 0 | 0 | 0 | | |
| 52 | TBA | | TBA | Lee, J-M | Default - none | 0 | 0 | 0 | | |
| 53 | TBA | | TBA | Thomopoulos | Default - none | 0 | 0 | 0 | | |
| 54 | TBA | | TBA | Zhang, Tiezhi | Default - none | 0 | 0 | 0 | | |
| 56 | TBA | | TBA | Klaesner | Default - none | 0 | 0 | 0 | | |
| 57 | TBA | | TBA | Leuthardt | Default - none | 0 | 0 | 0 | | |
| 58 | TBA | | TBA | Klyachko | Default - none | 0 | 0 | 0 | | |
| 59 | TBA | | TBA | Mecham | Default - none | 0 | 0 | 0 | | |
| 60 | TBA | | TBA | French | Default - none | 0 | 0 | 0 | | |
| 61 | TBA | | TBA | Parikh | Default - none | 0 | 0 | 0 | | |
| 62 | TBA | | TBA | Achilefu | Default - none | 0 | 0 | 0 | | |
| 63 | TBA | | TBA | Frieden | Default - none | 0 | 0 | 0 | | |
| 64 | TBA | | TBA | Raman | Default - none | 0 | 0 | 0 | | |
| 65 | TBA | | TBA | Van Essen | Default - none | 0 | 0 | 0 | | |
| 68 | TBA | | TBA | Schuessler | Default - none | 0 | 0 | 0 | | |
| 69 | TBA | | TBA | Li, Hui | Default - none | 0 | 0 | 0 | | |
| 70 | TBA | | TBA | Petersen, Steven | Default - none | 0 | 0 | 0 | | |
| 71 | TBA | | TBA | Piston | Default - none | 0 | 0 | 0 | | |
| 72 | TBA | | TBA | Ances | Default - none | 0 | 0 | 0 | | |
| 73 | TBA | | TBA | Tai | Default - none | 0 | 0 | 0 | | |
| 74 | TBA | | TBA | Holy | Default - none | 0 | 0 | 0 | | |
| 75 | TBA | | TBA | Perlmutter | Default - none | 0 | 0 | 0 | | |
| 76 | TBA | | TBA | Corbetta | Default - none | 0 | 0 | 0 | | |
| 77 | TBA | | TBA | Nichols | Default - none | 0 | 0 | 0 | | |
| 78 | TBA | | TBA | Earhart | Default - none | 0 | 0 | 0 | | |
| 79 | TBA | | TBA | Woodard | Default - none | 0 | 0 | 0 | | |
| 80 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 81 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 82 | TBA | | TBA | Silva, Jon | Default - none | 0 | 0 | 0 | | |
| 83 | TBA | | TBA | Klechevsky | Default - none | 0 | 0 | 0 | | |
| 84 | TBA | | TBA | Maher, C. | Default - none | 0 | 0 | 0 | | |
| 85 | TBA | | TBA | Sandell | Default - none | 0 | 0 | 0 | | |
| 86 | TBA | | TBA | Wagenseil | Default - none | 0 | 0 | 0 | | |
| 88 | TBA | | TBA | Zayed | Default - none | 0 | 0 | 0 | | |
| 89 | TBA | | TBA | Pincus, Z. | Default - none | 0 | 0 | 0 | | |
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| | 01 | ---R--- | 10:00A-11:20A | Whitaker / 218 | Shao | No final | 178 | 57 | 0 | Desc: | ALL BME PhD students should register in SECTION 01. See the BME website for current seminar schedule. EXCEPTIONS: PhD students taking Seminar for credit. In person meeting required |
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| | 01 | ---R--- | 10:00A-11:20A | Whitaker / 218 | Shao | No final | 150 | 11 | 0 | Desc: | Available for BME PhD students only. A two page critique will be due at the end of classes for the semester. |
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| | 01 | -T-R--- | 1:00P-2:20P | Whitaker / 218 | Schreiber, Huebsch | Dec 17 2024 1:00PM - 3:00PM | 40 | 22 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 10:00A-11:20A | Brauer Hall / 012 | Schreiber | Dec 16 2024 10:30AM - 12:30PM | 55 | 21 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W-F-- | 1:00P-1:50P | Farrell T/L Ctr / HLDN | Brent | No final | 0 | 0 | 25 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | This course will cover data analysis, statistical methods, AI, machine learning, predictive modeling, and data visualization, with applications to medicine and health. As part of the course, BME faculty will present biomedical data science topics from their research areas. Students will learn to prepare, transform, visualize, validate, model, and communicate information about datasets, and they will design and implement an independent project to address a biomedical data science problem. Prior Python experience required. Prerequisites: E35 ESE 318, MEMS 201, or Math309; E35 ESE 326, ENG 328, Math 2200 or Math 3200; E62 BME 231 or E81 CSE 217A or equivalent courses |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Pathak | Default - none | 25 | 14 | 0 | | |
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| | 01 | M-W---- | 2:30P-3:50P | Whitaker / 218 | Jha, A | Dec 16 2024 3:30PM - 5:30PM | 35 | 23 | 0 | | |
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| | 01 | -T-R--- | 2:30P-3:50P | Whitaker / 216 | Rutz, Schreiber | Paper/Project/TakeHome | 0 | 0 | 37 | | |
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| Description: | This journal club is intended for beginning graduate students, advanced undergraduates, and MSTP students with a background in the quantitative sciences (engineering, physics, math, chemistry, etc). The subjects covered are inherently multidisciplinary. We will review landmark and recent publications in quantitative cardiovascular physiology, mathematical modeling of physiologic systems and related topics such as chaos theory and nonlinear dynamics of biological systems. Familiarity with calculus, differential equations, and basic engineering/thermodynamic principles is assumed. Weekly meetings to review and discuss current cardiovascular physiology and biophysics journal articles. Prerequisite: Calculus, physiology/anatomy is optional. |
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| | 01 | TBA | | TBA | Kovacs, S | No final | 10 | 1 | 0 | | |
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| | 01 | -T-R--- | 8:30A-9:50A | Whitaker / 216 | Chen | Dec 13 2024 1:00PM - 3:00PM | 30 | 25 | 0 | | |
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| | 01 | TBA | | TBA | Setton | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Zhu | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Jha | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Rudra | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Guilak | Default - none | 0 | 0 | 1 | | |
| 06 | TBA | | TBA | Zhang | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Sotiras | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Millman | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Guan | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Zhou | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Bauer | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 1 | | |
| 14 | TBA | | TBA | Kerschensteiner | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Maher | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | DeSelm | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Lew | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Brunner | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Curiel | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Solnica-Krezel | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | MacEwan | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Huebsch | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | O'Brien | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Raman | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Lim | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Bersi | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Hughes | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Piston | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Thorek | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Silva | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | French | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Shmuylovich | Default - none | 0 | 0 | 1 | | |
| 35 | TBA | | TBA | Nichols | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Zemlin | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Cui | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Edwards | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Seanez | Default - none | 0 | 0 | 0 | | |
| 75 | TBA | | TBA | Singamaneni | Default - none | 0 | 0 | 0 | | |
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| | 02 | TBA | | TBA | Singamaneni | Default - none | 999 | 0 | 0 | | |
| 03 | TBA | | TBA | Thorek | Default - none | 999 | 0 | 0 | | |
| 04 | TBA | | TBA | Moran | Default - none | 999 | 0 | 0 | | |
| 05 | TBA | | TBA | Tang, S. | Default - none | 999 | 0 | 0 | | |
| 06 | TBA | | TBA | Rudra | Default - none | 999 | 0 | 0 | | |
| 07 | TBA | | TBA | Bark | Default - none | 999 | 0 | 0 | | |
| 08 | TBA | | TBA | Setton, L. | Default - none | 999 | 0 | 0 | | |
| 09 | TBA | | TBA | Meyer | Default - none | 999 | 0 | 0 | | |
| 10 | TBA | | TBA | Genin | Default - none | 999 | 1 | 0 | | |
| 11 | TBA | | TBA | O'Brien | Default - none | 999 | 0 | 0 | | |
| 12 | TBA | | TBA | Guilak | Default - none | 999 | 1 | 0 | | |
| 13 | TBA | | TBA | Curiel | Default - none | 999 | 0 | 0 | | |
| 14 | TBA | | TBA | McPherson | Default - none | 999 | 0 | 0 | | |
| 15 | TBA | | TBA | Gutmann | Default - none | 999 | 0 | 0 | | |
| 16 | TBA | | TBA | Rentschler | Default - none | 999 | 0 | 0 | | |
| 17 | TBA | | TBA | Barbour | Default - none | 999 | 0 | 0 | | |
| 18 | TBA | | TBA | Seanez | Default - none | 999 | 3 | 0 | | |
| 19 | TBA | | TBA | Monosov, I. | Default - none | 999 | 0 | 0 | | |
| 20 | TBA | | TBA | Cui | Default - none | 999 | 0 | 0 | | |
| 21 | TBA | | TBA | Culver | Default - none | 999 | 0 | 0 | | |
| 22 | TBA | | TBA | Chen, Hong | Default - none | 999 | 0 | 0 | | |
| 23 | TBA | | TBA | Wang, Yong | Default - none | 999 | 0 | 0 | | |
| 24 | TBA | | TBA | Lai, Albert | Default - none | 10 | 0 | 0 | | |
| 26 | TBA | | TBA | An, Hongyu | Default - none | 999 | 2 | 0 | | |
| 27 | TBA | | TBA | Greenberg, M | Default - none | 999 | 0 | 0 | | |
| 28 | TBA | | TBA | Randolph | Default - none | 999 | 0 | 0 | | |
| 30 | TBA | | TBA | Shao | Default - none | 999 | 0 | 0 | | |
| 31 | TBA | | TBA | Millman, Jeffrey | Default - none | 999 | 0 | 0 | | |
| 33 | TBA | | TBA | Lake, S | Default - none | 999 | 1 | 0 | | |
| 34 | TBA | | TBA | Hu | Default - none | 999 | 3 | 0 | | |
| 38 | TBA | | TBA | Silva, Matt | Default - none | 999 | 0 | 0 | | |
| 39 | TBA | | TBA | Shokeen | Default - none | 999 | 0 | 0 | | |
| 40 | TBA | | TBA | Zhu,Qing | Default - none | 20 | 0 | 0 | | |
| 41 | TBA | | TBA | Guan | Default - none | 20 | 0 | 0 | | |
| 42 | TBA | | TBA | Pathak, A | Default - none | 999 | 1 | 0 | | |
| 43 | TBA | | TBA | Scheller | Default - none | 999 | 0 | 0 | | |
| 44 | TBA | | TBA | Pappu | Default - none | 999 | 2 | 0 | | |
| 45 | TBA | | TBA | Rutz | Default - none | 999 | 1 | 0 | | |
| 47 | TBA | | TBA | McAlinden,A. | Default - none | 999 | 0 | 0 | | |
| 51 | TBA | | TBA | Vahey | Default - none | 999 | 0 | 0 | | |
| 52 | TBA | | TBA | Lee, J-M | Default - none | 999 | 0 | 0 | | |
| 53 | TBA | | TBA | Kerschensteiner | Default - none | 999 | 0 | 0 | | |
| 54 | TBA | | TBA | Zhang,Tiezhi | Default - none | 999 | 0 | 0 | | |
| 56 | TBA | | TBA | Brunner | Default - none | 999 | 2 | 0 | | |
| 57 | TBA | | TBA | Leuthardt | Default - none | 999 | 1 | 0 | | |
| 58 | TBA | | TBA | Eggebrecht | Default - none | 999 | 1 | 0 | | |
| 64 | TBA | | TBA | Raman | Default - none | 999 | 0 | 0 | | |
| 65 | TBA | | TBA | Van Essen | Default - none | 999 | 0 | 0 | | |
| 66 | TBA | | TBA | Huebsch | Default - none | 999 | 0 | 0 | | |
| 67 | TBA | | TBA | Bijsterbosch | Default - none | 999 | 0 | 0 | | |
| 68 | TBA | | TBA | Bauer | Default - none | 999 | 0 | 0 | | |
| 70 | TBA | | TBA | Jha | Default - none | 999 | 0 | 0 | | |
| 73 | TBA | | TBA | Tai | Default - none | 999 | 0 | 0 | | |
| 74 | TBA | | TBA | Holy | Default - none | 999 | 0 | 0 | | |
| 77 | TBA | | TBA | Nichols | Default - none | 999 | 0 | 0 | | |
| 79 | TBA | | TBA | Woodard | Default - none | 999 | 0 | 0 | | |
| 80 | TBA | | TBA | Zhou, Chao | Default - none | 999 | 0 | 0 | | |
| 81 | TBA | | TBA | Han | Default - none | 999 | 1 | 0 | | |
| 82 | TBA | | TBA | Silva, Jon | Default - none | 999 | 1 | 0 | | |
| 83 | TBA | | TBA | Ding | Default - none | 999 | 0 | 0 | | |
| 86 | TBA | | TBA | Wagenseil | Default - none | 999 | 0 | 0 | | |
| 91 | TBA | | TBA | Dantas,G. | Default - none | 999 | 0 | 0 | | |
| 92 | TBA | | TBA | Dosenbach | Default - none | 999 | 0 | 0 | | |
| 93 | TBA | | TBA | Sotiras | Default - none | 999 | 0 | 0 | | |
| 94 | TBA | | TBA | Milbrandt | Default - none | 999 | 0 | 0 | | |
| 95 | TBA | | TBA | Shoghi-Jadid | Default - none | 999 | 0 | 0 | | |
| 96 | TBA | | TBA | Oyen | Default - none | 999 | 1 | 0 | | |
| 98 | TBA | | TBA | Wheelock | Default - none | 999 | 0 | 0 | | |
| 99 | TBA | | TBA | Darafsheh | Default - none | 999 | 1 | 0 | | |
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| | 30 | TBA | | TBA | Shao | No final | 999 | 0 | 0 | | |
| 31 | TBA | | TBA | O'Sullivan | No final | 999 | 0 | 0 | | |
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| Description: | An introduction to software concepts and implementation, emphasizing problem solving through abstraction and decomposition. Introduces processes and algorithms, procedural abstraction, data abstraction, encapsulation, and object-oriented programming. Recursion, iteration, and simple data structures are covered. Concepts and skills are mastered through programming projects, many of which employ graphics to enhance conceptual understanding. Java, an object-oriented programming language, is the vehicle of exploration. Active-learning sessions are conducted in a studio setting in which students interact with each other and the professor to solve problems collaboratively. Prerequisites: Comfort with algebra and geometry at the high school level is assumed. Patience, good planning, and organization will promote success. Required in-person evening exams will be given on TBD.
Note that this course will be held in-person. |
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| | 01 | M------ | 1:00P-2:20P | TBA | Shook, MTabakhi | Dec 9 2024 3:30PM - 5:30PM | 298 | 46 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | M------ | 2:30P-3:50P | TBA | Shook, MTabakhi | Dec 9 2024 3:30PM - 5:30PM | 298 | 36 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| A | --W---- | 1:00P-2:20P | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 21 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| B | --W---- | 1:00P-2:20P | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| C | --W---- | 1:00P-2:20P | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 7 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| D | --W---- | 1:00P-2:20P | Urbauer / 216 | Shook, MTabakhi | Default - none | 30 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| E | --W---- | 2:30P-3:50P | Urbauer / 222 | Shook, MTabakhi | Default - none | 40 | 22 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| F | --W---- | 2:30P-3:50P | Urbauer / 218 | Shook, MTabakhi | Default - none | 40 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| G | --W---- | 2:30P-3:50P | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| H | --W---- | 2:30P-3:50P | Urbauer / 216 | Shook, MTabakhi | Default - none | 30 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| I | --W---- | 4:00P-5:20P | Urbauer / 222 | Shook, MTabakhi | Default - none | 30 | 6 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| J | --W---- | 4:00P-5:20P | Urbauer / 218 | Shook, MTabakhi | Default - none | 30 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| K | ---R--- | 10:00A-11:20A | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| L | ---R--- | 10:00A-11:20A | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| M | ---R--- | 10:00A-11:20A | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| N | ---R--- | 11:30A-12:50P | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| O | ---R--- | 11:30A-12:50P | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| P | ---R--- | 11:30A-12:50P | Urbauer / 214 | Shook, MTabakhi | Default - none | 60 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| Q | ---R--- | 11:30A-12:50P | Urbauer / 216 | Shook, MTabakhi | Default - none | 60 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | --W---- | 4:00P-5:20P | TBA | Cannarozzi | No final | 100 | 1 | 0 | | |
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| | 11 | -T-R--- | 1:00P-2:20P | Urbauer / 218 | Orr | Dec 11 2024 10:00AM - 12:00PM | 60 | 9 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 12 | -T-R--- | 1:00P-2:20P | Urbauer / 216 | Orr | Dec 11 2024 10:00AM - 12:00PM | 60 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 13 | -T-R--- | 2:30P-3:50P | Urbauer / 218 | Orr | Dec 11 2024 10:00AM - 12:00PM | 60 | 8 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 14 | -T-R--- | 2:30P-3:50P | Urbauer / 216 | Orr | Dec 11 2024 10:00AM - 12:00PM | 60 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course explores elementary principles for designing, creating and publishing effective websites and web application front-ends. Topics include page layout concepts, color theory, design principles, search engine optimization, HTML, CSS, Javascript, front-end frameworks like Angular and React, and other development tools. Students apply the topics by creating a series of websites, which are judged based on their design and implementation.
Prerequisite: CSE131 or equivalent experience |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Tihen | Paper/Project/TakeHome | 0 | 0 | 105 | Desc: | This course enrolls by wait-list order and is strictly capped at the number of seats listed for each section. This section is capped at 60. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| 02 | -T-R--- | 1:00P-2:20P | TBA | [TBA] | Paper/Project/TakeHome | 0 | 0 | 73 | Desc: | This course enrolls by wait-list order and is strictly capped at the number of seats listed for each section. This section is capped at 30. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | This course provides an introduction to data science and machine learning, and it focuses on the practical application of models to real-world supervised and unsupervised learning problems. We will discuss methods for linear regression, classification, and clustering and apply them to perform sentiment analysis, implement a recommendation system, and perform image classification or gesture recognition. One of the main objectives of the course is to become familiar with the data science workflow, from posing a problem to understanding and preparing the data, training and evaluating a model, and then presenting and interpreting the results. We will also touch on concepts such as similarity-based learning, feature engineering, data manipulation, and visualization. The course uses Python, which is currently the most popular programming language for data science. This course does not teach programming in Python. Prerequisites: CSE 131, MATH 233 (can be taken concurrently), and CSE 247 (can be taken concurrently)
Note: Online textbook purchase required. |
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| | 01 | ---R--- | 1:00P-2:20P | Eads / 016 | Singh | Paper/Project/TakeHome | 0 | 0 | 32 | Desc: | This course is required for Data Science majors, so they get top priority. Next, sophomores in any CSE degree. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist
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| 02 | ---R--- | 2:30P-3:50P | Eads / 016 | Singh | Paper/Project/TakeHome | 0 | 0 | 23 | Desc: | This course is required for Data Science majors, so they get top priority. Next, sophomores in any CSE degree. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist
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| 03 | ---R--- | 10:00A-11:20A | Eads / 016 | Neumann | Paper/Project/TakeHome | 0 | 0 | 26 | Desc: | **This section is on Thursdays from 10-11:20am! If WebSTAC time lists 11:30-12:50, it is incorrect** |
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| 04 | ---R--- | 11:30A-12:50P | Eads / 016 | Neumann | Paper/Project/TakeHome | 0 | 0 | 26 | | |
| A | -T----- | 1:00P-2:20P | Eads / 016 | Singh | Paper/Project/TakeHome | 0 | 0 | 29 | | |
| B | -T----- | 2:30P-3:50P | Eads / 016 | Singh | Paper/Project/TakeHome | 0 | 0 | 26 | | |
| C | -T----- | 10:00A-11:20A | Eads / 016 | Neumann | Paper/Project/TakeHome | 0 | 0 | 26 | | |
| D | -T----- | 11:30A-12:50P | Eads / 016 | Neumann | Paper/Project/TakeHome | 0 | 0 | 25 | | |
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| | 01 | -T-R--- | 10:00A-11:20A | McDonnell / 362 | Cosgrove | Dec 17 2024 6:00PM - 8:00PM | 0 | 0 | 86 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | Garnett | No final | 115 | 22 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T-R--- | 2:30P-3:50P | TBA | Garnett | No final | 115 | 14 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 1:00P-2:20P | TBA | Cole, Ma | Paper/Project/TakeHome | 210 | 53 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T----- | 2:30P-3:50P | TBA | Cole, Ma | Paper/Project/TakeHome | 210 | 33 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| A | ---R--- | 1:00P-2:20P | Simon / 017 | Cole, Ma | No final | 70 | 37 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| B | ---R--- | 1:00P-2:20P | TBA | Cole, Ma | No final | 54 | 11 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| C | ---R--- | 1:00P-2:20P | TBA | Cole, Ma | No final | 54 | 8 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| D | ---R--- | 2:30P-3:50P | Mallinckrodt / 305 | Cole, Ma | No final | 70 | 24 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| E | ---R--- | 2:30P-3:50P | McDonnell / 361 | Cole, Ma | No final | 54 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| F | ---R--- | 2:30P-3:50P | McDonnell / 362 | Cole, Ma | No final | 54 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | ----F-- | 12:00P-1:50P | TBA | Ma | No final | 40 | 4 | 0 | Desc: | This semester we will explore problems that arise in coding interviews, with the goal of reinforcing and augmenting the intellectual material of 247. Based on the best-selling book Cracking the Coding Interview and other resources, students will work sometimes in teams and sometimes on their own to solve these problems. Clarity and efficiency of solutions are emphasized, and students present their solutions in small groups and to the entire group. Mock interviews are conducted at checkpoint times during the semester to mark progress and provide realistic practice for technical interviews. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | ------S | 12:00P-2:00P | TBA | Ma | No final | 40 | 3 | 0 | Desc: | This semester we will explore problems that arise in coding interviews, with the goal of reinforcing and augmenting the intellectual material of 247. Based on the best-selling book Cracking the Coding Interview and other resources, students will work sometimes in teams and sometimes on their own to solve these problems. Clarity and efficiency of solutions are emphasized, and students present their solutions in small groups and to the entire group. Mock interviews are conducted at checkpoint times during the semester to mark progress and provide realistic practice for technical interviews. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 10:00A-11:20A | McDonnell / 362 | Kelleher | Paper/Project/TakeHome | 0 | 0 | 60 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Siever | No final | 0 | 0 | 81 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | M-W---- | 2:30P-3:50P | Simon / 017 | Yeoh | No final | 0 | 0 | 80 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Schlichenmeyer | Dec 17 2024 6:00PM - 8:00PM | 0 | 0 | 23 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 11 | M-W---- | 11:30A-12:50P | Urbauer / 222 | Sproull | No final | 60 | 57 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 12 | M-W---- | 11:30A-12:50P | Urbauer / 218 | Sproull | No final | 60 | 13 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 13 | M-W---- | 11:30A-12:50P | Urbauer / 216 | Sproull | No final | 30 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 14 | M-W---- | 11:30A-12:50P | Urbauer / 214 | Sproull | No final | 30 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 10:00A-11:20A | Eads / 016 | Shidal | Paper/Project/TakeHome | 80 | 20 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | M-W---- | 1:00P-2:20P | Eads / 016 | Shidal | Paper/Project/TakeHome | 80 | 31 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Before they became "retro," games played on platforms of the 1970s and 1980s were just games. But early game-console hardware was designed with very particular ideas of what made a game a game, and under extreme constraints of cost and technical viability. Creators designed for these constraints, and their work then influenced the design of later hardware and software.
This is a course about the history, design, and technology of one retro game console, the 1977 Atari Video Computer System (also known as the Atari VCS or the Atari 2600). The first popular home console, the Atari VCS is a truly weird computer: It "boasts" 128 bytes of RAM, no video buffer, and a custom graphics and sound chip designed to interface with then-universal cathode ray tube televisions. Against all odds, creators made fun and successful games within these extreme constraints.
Just as an artist benefits from learning the fundamentals of their craft, so a game designer or developer can benefit from returning to these early and crude hardware platforms. In this course, students will learn the technical and creative history of the Atari, and they will also learn the fundamentals of programming its unfamiliar hardware. Students will carry out programming exercises, mostly in the assembly language instructions required to operate this unusual computer. They will then make their own games for the Atari, which will be able to run on the actual, 45-year-old hardware. |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Bogost | Dec 13 2024 6:00PM - 8:00PM | 0 | 0 | 43 | | |
| A | ---R--- | 4:00P-6:50P | TBA | Bogost | No final | 0 | 0 | 1 | | |
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| | 01 | M------ | 1:00P-2:20P | TBA | Agrawal | Paper/Project/TakeHome | 0 | 0 | 140 | Desc: | Enrollment prioritizes by seniority/graduation dates of students in degrees that require CSE 347 specifically. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| 02 | M------ | 10:00A-11:20A | TBA | Sibai | Paper/Project/TakeHome | 0 | 0 | 57 | | |
| D | --W---- | 10:00A-11:20A | TBA | Sibai | No final | 0 | 0 | 21 | | |
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| Description: | This course introduces the design of classification and estimation systems for equity, that is, with the goal of reducing the inequities of racism, sexism, xenophobia, ableism, and other systems of oppression. Systems which change the allocation of resources among people can increase inequity due to their inputs, the systems themselves, or how the systems interact in the context in which they are deployed. This course presents background in power and oppression, to help predict how new technological and societal systems might interact, and when they might confront or reinforce existing power systems. Measurement theory, the study of the mismatch between a system's intended measure and the data it actually uses, is covered. Multiple example sensing and classification systems which operate on people (e.g., optical, audio, and text sensors) are covered by implementing algorithms and quantifying inequitable outputs. Prerequisite: ESE 105 or 217A or CSE 417T. Background readings will be available.
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| Description: | Introduction to the hardware and software foundations of computer processing systems. This course provides a programmer's perspective of how computer systems execute programs and store information. The course material aims to enables students to become more effective programmers, especially in dealing with issues of performance, portability and robustness. It also serves as a foundation for other system courses, such as compilers, networks, and operating systems, where a deeper understanding of systems-level issues is required. Topics covered include: machine-level code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, and supporting concurrent computation.
Prerequisite: CSE 132
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| | 01 | -T-R--- | 10:00A-11:20A | Lopata Hall / 101 | Orr | Dec 17 2024 6:00PM - 8:00PM | 90 | 45 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Chamberlain | Dec 18 2024 3:30PM - 5:30PM | 0 | 0 | 24 | Desc: | Prerequisite of CSE 260M or instructor approval of equivalent experience is required. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 02 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 03 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 04 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 05 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 06 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 07 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 08 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 09 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 10 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 11 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 12 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 13 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 14 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 15 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 1 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 16 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 17 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 18 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 19 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 20 | TBA | | TBA | Garnett | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 21 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 22 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 23 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 24 | TBA | | TBA | Zhang, Ning | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 25 | TBA | | TBA | Chen, Yixin | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 26 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 27 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 28 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 29 | TBA | | TBA | Patwari | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 30 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 31 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 32 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 33 | TBA | | TBA | Garnett | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 34 | TBA | | TBA | Raviv | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 35 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 36 | TBA | | TBA | Sibai | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 37 | TBA | | (None) / | Jacobs | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 38 | TBA | | (None) / | Singh | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 39 | TBA | | (None) / | MTabakhi | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 40 | TBA | | (None) / | Bogost | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 41 | TBA | | (None) / | Ma | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 42 | TBA | | (None) / | Orr | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 43 | TBA | | (None) / | Silva | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 44 | TBA | | (None) / | Iqbal | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 45 | TBA | | (None) / | Barbour | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 46 | TBA | | (None) / | Buckley | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 47 | TBA | | (None) / | Chaudhuri | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 48 | TBA | | (None) / | Chakrabartty | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 49 | TBA | | (None) / | Feres | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 50 | TBA | | (None) / | Hugo | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 51 | TBA | | (None) / | Kannampallil | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 52 | TBA | | (None) / | Lai | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 53 | TBA | | (None) / | Ling | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 54 | TBA | | (None) / | Martin | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 55 | TBA | | (None) / | Murch | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 56 | TBA | | (None) / | Payne | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 57 | TBA | | (None) / | Shen | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 58 | TBA | | (None) / | Stormo | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 59 | TBA | | (None) / | Swamidass | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 60 | TBA | | (None) / | Tavoni | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 61 | TBA | | (None) / | Wang | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 62 | TBA | | (None) / | Zhang | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| | 01 | TBA | | TBA | Guerin | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 02 | TBA | | TBA | Brent | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 03 | TBA | | TBA | Agrawal | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 04 | TBA | | TBA | Baruah | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 05 | TBA | | TBA | Gill | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 06 | TBA | | TBA | Cole | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 07 | TBA | | TBA | Buhler | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 08 | TBA | | TBA | Ottley | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 09 | TBA | | TBA | Shook | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 10 | TBA | | TBA | Lu | No final | 0 | 0 | 1 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 11 | TBA | | TBA | Siever | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 12 | TBA | | TBA | Chamberlain | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 13 | TBA | | TBA | Sproull | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 14 | TBA | | TBA | Juba | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 15 | TBA | | TBA | Kelleher | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 16 | TBA | | TBA | Neumann | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 17 | TBA | | TBA | Lee | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 18 | TBA | | TBA | Richard | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 19 | TBA | | TBA | Cosgrove | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 20 | TBA | | TBA | Garnett | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 21 | TBA | | TBA | Crowley | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 22 | TBA | | TBA | Ho | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 23 | TBA | | TBA | Vorobeychik | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 24 | TBA | | TBA | Zhang, N. | No final | 0 | 0 | 1 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 25 | TBA | | TBA | Chen | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 26 | TBA | | TBA | Ju | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 27 | TBA | | TBA | Jain | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 28 | TBA | | TBA | Shidal | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 29 | TBA | | TBA | Cytron | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 30 | TBA | | TBA | Yeoh | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 31 | TBA | | TBA | Kamilov | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 32 | TBA | | TBA | Garnett | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 33 | TBA | | TBA | Raviv | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 34 | TBA | | TBA | Patwari | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 35 | TBA | | TBA | Wang | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 36 | TBA | | TBA | Sibai | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 37 | TBA | | TBA | Jacobs | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 38 | TBA | | TBA | Singh | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 39 | TBA | | TBA | Ma | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 40 | TBA | | TBA | MTabakhi | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 41 | TBA | | TBA | Orr | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 42 | TBA | | TBA | Bogost | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 43 | TBA | | TBA | Payne | No final | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 44 | TBA | | TBA | Zhang | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 45 | TBA | | TBA | Iqbal | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 46 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 47 | TBA | | TBA | Buckley | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 48 | TBA | | TBA | Chaudhuri | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 49 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 50 | TBA | | TBA | Feres | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 51 | TBA | | TBA | Hugo | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 52 | TBA | | TBA | Kannampallil | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 53 | TBA | | TBA | Lai | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 54 | TBA | | TBA | Ling | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 55 | TBA | | TBA | Martin | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 56 | TBA | | TBA | Murch | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 57 | TBA | | TBA | Shen | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 58 | TBA | | TBA | Silva | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 59 | TBA | | TBA | Stormo | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 60 | TBA | | TBA | Swamidass | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 61 | TBA | | TBA | Tavoni | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| 62 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | You will stay on the waitlist until you submit an independent study form. Then once approved, you will be enrolled. You can find the form here: https://wustl.app.box.com/s/yvvbc6fswktavvnnqiphfxbqpvdeyeky/file/1139213921334 |
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| | 01 | M-W---- | 10:00A-11:20A | January Hall / 110 | Vorobeychik | No final | 0 | 0 | 100 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | The discipline of artificial intelligence (AI) is concerned with building systems that think and act like humans or rationally on some absolute scale. This course is an introduction to the field, with special emphasis on sound modern methods. The topics include knowledge representation, problem solving via search, game playing, logical and probabilistic reasoning, planning, dynamic programming, and reinforcement learning. Programming exercises concretize the key methods. Two evening exams at which attendance is required will be held on TBD. Evaluation is based on written and programming assignments, evening exams and a final exam. Prerequisites: CSE 247, ESE 326(or Math 3200 or Math 3211 or Engr 328), Math 233 |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | M Tabakhi | Paper/Project/TakeHome | 0 | 0 | 54 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| 02 | -T-R--- | 11:30A-12:50P | TBA | M Tabakhi | Paper/Project/TakeHome | 0 | 0 | 52 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | This course introduces the fundamental concepts of web privacy and security. It explores the challenges and techniques related to protecting personal privacy online and securing web applications from threats and vulnerabilities. Why take this course: Given that the vast majority of user-facing software is consumed through the web platform, developing an understanding of the web ecosystem is crucial in improving user privacy and security, overall. Topics include: Webpage execution (e.g., JavaScript execution), Browser security model (e.g., site isolation), Online tracking (e.g., cookies, fingerprinting), Privacy enhancing technologies (e.g., tracker blocking), Technology policy (privacy laws, policies). Prereqs: CSE 247 |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Iqbal | Project | 0 | 0 | 57 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | This course examines complex systems through the eyes of a computer scientist. We will use the representative power of graphs to model networks of social, technological, or biological interactions. Network analysis provides many computational, algorithmic, and modeling challenges. We begin by studying graph theory, allowing us to quantify the structure and interactions of social and other networks. We will then explore how to practically analyze network data and how to reason about it through mathematical models of network structure and evolution. We will also investigate algorithms that extract basic properties of networks in order to find communities and infer node properties. Finally, we will study a range of applications including robustness and fragility of networks such as the internet, spreading processes used to study epidemiology or viral marketing, and the ranking of webpages based on the structure of the webgraph. This course combines concepts from computer science and applied mathematics to study networked systems using data mining. Prerequisites: CSE 247, ESE 326 (or Math 3200 or Math 3211 or Engr 328), MATH 309, and Python programming experience (we will parse data and analyze networks using Python) |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Neumann | Paper/Project/TakeHome | 0 | 0 | 38 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. This course is a broad introduction to machine learning, covering the foundations of supervised learning and important supervised learning algorithms. Topics to be covered are the theory of generalization (including VC-dimension, the bias-variance tradeoff, validation, and regularization) and linear and non-linear learning models (including linear and logistic regression, decision trees, ensemble methods, neural networks, nearest-neighbor methods, and support vector machines). Prerequisites: CSE 247, ESE 326 (or Math 3200 or Math 3211 or Engr 328), Math 233, and Math 309 (can be taken concurrently). |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Ho | No final | 0 | 0 | 135 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 1:00P-2:20P | TBA | Lu | Paper/Project/TakeHome | 0 | 0 | 22 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 11:30A-12:50P | McDonnell / 361 | Cosgrove | No final | 0 | 0 | 35 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| 02 | -T-R--- | 1:00P-2:20P | McDonnell / 361 | Cosgrove | No final | 0 | 0 | 40 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T-R--- | 4:30P-5:50P | Urbauer / 222 | Mitz | No final | 0 | 0 | 25 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | Secure computing requires the secure design, implementation, and use of systems and algorithms across many areas of computer science. Fundamentals of secure computing such as trust models and cryptography will lay the groundwork for studying key topics in the security of systems, networking, web design, machine learning algorithms, mobile applications, and physical devices. Human factors, privacy, and the law will also be considered. Hands-on practice exploring vulnerabilities and defenses using Linux, C, and Python in studios and lab assignments is a key component of the course. Prerequisites: CSE 247 and either CSE 361 or CSE 332.
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Zhang | No final | 50 | 42 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 10:00A-11:20A | Eads / 116 | Cole | Paper/Project/TakeHome | 38 | 7 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 1:00P-2:20P | TBA | Singh | Dec 18 2024 1:00PM - 3:00PM | 0 | 0 | 13 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | An introduction and exploration of concepts and issues related to large-scale software systems development. Areas of exploration include technical complexities, organization issues, and communication techniques for large-scale development. Students participate through teams emulating industrial development. The projects cover the principal system development life-cycle phases from requirements analysis, to software design, and to final implementation. Issues relating to real-time control systems, human factors, reliability, performance, operating costs, maintainability and others are addressed and resolved in a reasonable manner. Prerequisite: Junior or Senior standing, and CSE 330S.
Note that this course will be held in-person. |
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| | 01 | -T----- | 5:30P-8:30P | TBA | Evans | Paper/Project/TakeHome | 30 | 30 | 2 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T----- | 5:30P-8:30P | TBA | Chernyak | Paper/Project/TakeHome | 30 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Sproull | No final | 160 | 61 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Garnett | Dec 16 2024 3:30PM - 5:30PM | 20 | 20 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 2:30P-3:50P | Eads / 016 | Santos | Paper/Project/TakeHome | 0 | 0 | 50 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| 02 | M-W---- | 4:00P-5:20P | Eads / 016 | Santos | Paper/Project/TakeHome | 0 | 0 | 46 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | M-W---- | 5:30P-7:00P | Eads / 016 | Santos | Paper/Project/TakeHome | 0 | 0 | 25 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | ----F-- | 1:00P-3:50P | TBA | Shidal | Paper/Project/TakeHome | 0 | 0 | 49 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#waits |
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Ottley | No final | 0 | 0 | 36 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | -T----- | 1:00P-2:20P | Urbauer / 115 | Richter | Dec 17 2024 1:00PM - 3:00PM | 24 | 10 | 0 | | |
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| Description: | This course introduces the issues, challenges, and methods for designing embedded computing systems -- systems designed to serve a particular application and which incorporate the use of digital processing devices. Examples of embedded systems include cellular phones, appliances, game consoles, automobiles, and drones. Emphasis is given to aspects of design that are distinct to embedded systems. The course examines hardware, software, and system-level design. Hardware topics include microcontrollers, digital signal processors, memory hierarchy, and I/O. Software issues include languages, run-time environments, and program analysis. System-level topics include real-time operating systems, scheduling, power management, and wireless sensor networks. Students will perform a course project on a real embedded system testbed. Prerequisites: CSE 260M (and either CSE 132 or ESE 205). |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Ivanovich | Paper/Project/TakeHome | 30 | 18 | 0 | | |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Zhang, N. | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Patwari | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Raviv | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Sibai | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Jacobs | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Singh | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | MTabakhi | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Bogost | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Ma | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Orr | Default - none | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Zhang, N. | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Raviv | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Patwari | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Sibai | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Jacobs | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Singh | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Ma | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | MTabakhi | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Orr | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Bogost | Default - none | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Zhang, N. | Default - none | 0 | 0 | 1 | | |
| 25 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 1 | | |
| 30 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Raviv | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Patwari | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Sibai | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Jacobs | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Singh | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | MTabakhi | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | MTabakhi | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Orr | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Bogost | Default - none | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Das | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Chakrabarti | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Zhang, W. | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Zhang, N. | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Ben Abraham | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Buckley | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Zhang, Silvia | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Nehorai | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Chen | Default - none | 0 | 0 | 1 | | |
| 36 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Chaudhuri | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Stormo | Default - none | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Lai | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 47 | TBA | | TBA | Payne | Default - none | 0 | 0 | 0 | | |
| 48 | TBA | | TBA | Swamidass | Default - none | 0 | 0 | 0 | | |
| 49 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | | |
| 50 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 51 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | | |
| 52 | TBA | | TBA | Hugo | Default - none | 0 | 0 | 0 | | |
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| Description: | An introduction to software concepts and implementation, emphasizing problem solving through abstraction and decomposition. Introduces processes and algorithms, procedural abstraction, data abstraction, encapsulation, and object-oriented programming. Recursion, iteration, and simple data structures are covered. Concepts and skills are mastered through programming projects, many of which employ graphics to enhance conceptual understanding. Java, an object-oriented programming language, is the vehicle of exploration. Active-learning sessions are conducted in a studio setting in which students interact with each other and the professor to solve problems collaboratively. Prerequisites: Comfort with algebra and geometry at the high school level is assumed. Patience, good planning, and organization will promote success. Required in-person evening exams will be given on TBD.
Note that this course will be held in-person. |
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| | 01 | M------ | 1:00P-2:20P | TBA | Shook, MTabakhi | Dec 9 2024 3:30PM - 5:30PM | 298 | 46 | 0 | | |
| 02 | M------ | 2:30P-3:50P | TBA | Shook, MTabakhi | Dec 9 2024 3:30PM - 5:30PM | 298 | 36 | 0 | | |
| A | --W---- | 1:00P-2:20P | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 21 | 0 | | |
| B | --W---- | 1:00P-2:20P | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 1 | 0 | | |
| C | --W---- | 1:00P-2:20P | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 7 | 0 | | |
| D | --W---- | 1:00P-2:20P | Urbauer / 216 | Shook, MTabakhi | Default - none | 30 | 0 | 0 | | |
| E | --W---- | 2:30P-3:50P | Urbauer / 222 | Shook, MTabakhi | Default - none | 40 | 22 | 0 | | |
| F | --W---- | 2:30P-3:50P | Urbauer / 218 | Shook, MTabakhi | Default - none | 40 | 4 | 0 | | |
| G | --W---- | 2:30P-3:50P | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 4 | 0 | | |
| H | --W---- | 2:30P-3:50P | Urbauer / 216 | Shook, MTabakhi | Default - none | 30 | 4 | 0 | | |
| I | --W---- | 4:00P-5:20P | Urbauer / 222 | Shook, MTabakhi | Default - none | 30 | 6 | 0 | | |
| J | --W---- | 4:00P-5:20P | Urbauer / 218 | Shook, MTabakhi | Default - none | 30 | 0 | 0 | | |
| K | ---R--- | 10:00A-11:20A | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 2 | 0 | | |
| L | ---R--- | 10:00A-11:20A | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 1 | 0 | | |
| M | ---R--- | 10:00A-11:20A | Urbauer / 214 | Shook, MTabakhi | Default - none | 30 | 1 | 0 | | |
| N | ---R--- | 11:30A-12:50P | Urbauer / 222 | Shook, MTabakhi | Default - none | 60 | 3 | 0 | | |
| O | ---R--- | 11:30A-12:50P | Urbauer / 218 | Shook, MTabakhi | Default - none | 60 | 2 | 0 | | |
| P | ---R--- | 11:30A-12:50P | Urbauer / 214 | Shook, MTabakhi | Default - none | 60 | 0 | 0 | | |
| Q | ---R--- | 11:30A-12:50P | Urbauer / 216 | Shook, MTabakhi | Default - none | 60 | 4 | 0 | | |
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| | 01 | -T----- | 1:00P-2:20P | TBA | Cole, Ma | Paper/Project/TakeHome | 210 | 53 | 0 | | |
| 02 | -T----- | 2:30P-3:50P | TBA | Cole, Ma | Paper/Project/TakeHome | 210 | 33 | 0 | | |
| B | ---R--- | 1:00P-2:20P | TBA | Cole, Ma | No final | 54 | 11 | 0 | | |
| C | ---R--- | 1:00P-2:20P | TBA | Cole, Ma | No final | 54 | 8 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | Eads / 016 | Shidal | Paper/Project/TakeHome | 80 | 20 | 0 | | |
| 02 | M-W---- | 1:00P-2:20P | Eads / 016 | Shidal | Paper/Project/TakeHome | 80 | 31 | 0 | | |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Siever | No final | 0 | 0 | 81 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | Deep Reinforcement Learning (RL) is a cutting-edge field at the intersection of artificial intelligence and decision-making. This course provides an in-depth exploration of the fundamental principles, algorithms, and applications of deep reinforcement learning. It covers basic algorithms, including value-based, policy-based, actor-critic, and model-based methods, as well as advanced topics, such as meta RL, offline RL, and multi-agent RL. By combining deep learning techniques with reinforcement learning, this course equips students with the necessary skills to build intelligent systems that can learn from experiences and make optimal decisions in complex environments. Evaluation of this course is based on written and programming assignments, and a final course project. |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | Zhang | No final | 40 | 40 | 12 | | |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Ma | No final | 0 | 0 | 163 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#waits |
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| Description: | This course will cover machine learning from a Bayesian probabilistic perspective. Bayesian probability allows us to model and reason about all types of uncertainty. The result is a powerful, consistent framework for approaching many problems that arise in machine learning, including parameter estimation, model comparison, and decision making. We will begin with a high-level introduction to Bayesian inference and then proceed to cover more advanced topics. These will include inference techniques (e.g., exact, MAP, sampling methods, the Laplace approximation), Bayesian decision theory, Bayesian model comparison, Bayesian nonparametrics, and Bayesian optimization. Prerequisites: CSE 417T and ESE 326. |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Garnett | Paper/Project/TakeHome | 70 | 56 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course provides a close look at advanced machine learning algorithms, including their theoretical guarantees (computational learning theory) and tricks to make them work in practice. In addition, this course focuses on more specialized learning settings, including unsupervised learning, semi-supervised learning, domain adaptation, multi-task learning, structured prediction, metric learning, and learning of data representations. Learning approaches may include graphical models, non-parametric Bayesian statistics, and technical topics such as sampling, approximate inference, and non-linear function optimization. Mathematical maturity and general familiarity with machine learning are required. Prerequisites: CSE 517A. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Juba | Paper/Project/TakeHome | 40 | 32 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Crowley | No final | 50 | 20 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | [TBA] | Paper/Project/TakeHome | 0 | 0 | 7 | | |
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| Description: | Coding/information theory emerged in mid 20'th century as a mathematical theory of communication with noise. In latter decades it has developed to a vast topic encompassing most aspects of handling large datasets. The course will begin by surveying the classical mathematical theory and its basic applications in communication, and continue to contemporary applications in storage, computation, privacy, machine learning, and emerging technologies such as networks, blockchains, and DNA storage. The course is self-contained, but prior knowledge in algebra (such as Math 309 or ESE 318), discrete math (such as CSE 240 or Math 310), and probability (such as Math 2200 or ESE 326), as well as some mathematical maturity, is assumed. There will be 4-5 homework assignments, one in-person midterm, and a final reading assignment. |
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Raviv | No final | 0 | 0 | 13 | | |
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| Description: | Large-scale optimization is an essential component of modern data science, artificial intelligence, and machine learning. This graduate-level course rigorously introduces optimization methods that are suitable for large-scale problems arising in these areas. We will learn several algorithms suitable for both smooth and nonsmooth optimization, including gradient methods, proximal methods, mirror descent, Nesterov's acceleration, ADMM, quasi-Newton methods, stochastic optimization, variance reduction, as well as distributed optimization. Throughout the class, we will discuss the efficacy of these methods in concrete data science problems, under appropriate statistical models. Students will be required to program in python or MATLAB. Prerequisites: CSE 247, Math 309, (Math 3200 or ESE 326), ESE 415. |
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| | 01 | M-W---- | 1:00P-2:20P | TBA | Kamilov | Dec 18 2024 1:00PM - 3:00PM | 0 | 0 | 67 | | |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Guerin | No final | 45 | 21 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | Baruah | No final | 70 | 25 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 10:00A-11:20A | Urbauer / 216 | Gill | No final | 0 | 0 | 33 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| Description: | The course will provide an in-depth coverage of modern algorithms for the numerical solution of multidimensional optimization problems. Unconstrained optimization techniques including Gradient methods, Newton's methods, Quasi-Newton methods, and conjugate methods will be introduced. The emphasis is on constrained optimization techniques: Lagrange theory, Lagrangian methods, penalty methods, sequential quadratic programming, primal-dual methods, duality theory, nondifferentiable dual methods, and decomposition methods. The course will also discuss applications in engineering systems and use of state-of-the-art computer codes. Special topics may include large-scale systems, parallel optimization, and convex optimization. Prerequisites: Calculus I and Math 309 |
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Chen | Paper/Project/TakeHome | 40 | 40 | 4 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | With the advance of imaging technologies deployed in medicine, engineering and science, there is a rapidly increasing amount of spatial data sets (e.g., images, volumes, point clouds) that need to be processed, visualized, and analyzed. This course will focus on a number of geometry-related computing problems that are essential in the knowledge discovery process in various spatial-data-driven biomedical applications. These problems include visualization, segmentation, mesh construction and processing, and shape representation and analysis. This course consists of lectures that cover theories and algorithms, and it includes a series of hands-on programming projects using real-world data collected by various imaging techniques (e.g., CT, MRI, electron cryomicroscopy). Prerequisites: CSE 332 (or proficiency in programming in C++ or Java or Python) and CSE 247. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Ju | No final | 40 | 12 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 5:30P-7:00P | TBA | Hall | No final | 75 | 21 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Huang | Dec 18 2024 3:30PM - 5:30PM | 0 | 0 | 58 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | [TBA] | Paper/Project/TakeHome | 30 | 14 | 0 | | |
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| Description: | This course provides a comprehensive treatment of wireless data and telecommunication networks. Topics include recent trends in wireless and mobile networking, wireless coding and modulation, wireless signal propagation, IEEE 802.11a/b/g/n/ac wireless local area networks, 60 GHz millimeter wave gigabit wireless networks, vehicular wireless networks, white spaces, Bluetooth and Bluetooth Smart, wireless personal area networks, wireless protocols for the Internet of Things, cellular networks: 1G/2G/3G, LTE, LTE-Advanced, and 5G. Prerequisite: CSE 473S (Introduction to Computer Networks) or permission of the instructor. |
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| | 01 | M-W---- | 1:00P-2:20P | TBA | Jain | No final | 20 | 8 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W-F-- | 1:00P-1:50P | Farrell T/L Ctr / HLDN | Brent | No final | 0 | 0 | 25 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | ----F-- | 2:30P-3:20P | TBA | [TBA] | Paper/Project/TakeHome | 0 | 0 | 5 | | |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 1 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 04 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 05 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 06 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 07 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 08 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 09 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 10 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 11 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 12 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 13 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 14 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 15 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 16 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 17 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 18 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 19 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 20 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 21 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 22 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 23 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 24 | TBA | | TBA | Crowley | Default - none | 0 | 1 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 26 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 27 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 28 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 29 | TBA | | TBA | Zhang, N. | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 31 | TBA | | TBA | Buckley | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 32 | TBA | | TBA | Zhang, Silvia | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 33 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 34 | TBA | | TBA | Nehorai | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 35 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 36 | TBA | | TBA | Jacobs | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 37 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 38 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 39 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 40 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 42 | TBA | | TBA | Chaudhuri | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 43 | TBA | | TBA | Stormo | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 44 | TBA | | TBA | Lai | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 45 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 46 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 47 | TBA | | TBA | Payne | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 48 | TBA | | TBA | Swamidass | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 49 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 50 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 51 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 52 | TBA | | TBA | Hugo | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 55 | TBA | | TBA | Goodhill | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 56 | TBA | | TBA | Sibai | No final | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 57 | TBA | | TBA | Huang | No final | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 58 | TBA | | TBA | Iqbal | No final | 0 | 0 | 0 | Desc: | If this is your first semester of CSE598: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 04 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 05 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 06 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 07 | TBA | | TBA | Gill | Default - none | 0 | 1 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
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| 08 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 09 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 10 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 11 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 12 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 13 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 14 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 1 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 15 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 16 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 17 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 1 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 18 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 19 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 20 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 21 | TBA | | TBA | Silva | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 22 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 23 | TBA | | TBA | Garnett, Roman | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 24 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 26 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 27 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 28 | TBA | | TBA | Vorobeychik | Default - none | 0 | 1 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 29 | TBA | | TBA | Zhang, N. | Default - none | 0 | 1 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 31 | TBA | | TBA | Buckley | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 32 | TBA | | TBA | Zhang, Silvia | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 33 | TBA | | TBA | Jacobs | Default - none | 0 | 0 | 2 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 34 | TBA | | TBA | Nehorai | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 35 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 36 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 37 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 38 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 39 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 40 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 42 | TBA | | TBA | Chaudhuri | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 43 | TBA | | TBA | Stormo | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 44 | TBA | | TBA | Lai | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 45 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 46 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 47 | TBA | | TBA | Payne | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 48 | TBA | | TBA | Swamidass | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 49 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 50 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 51 | TBA | | TBA | Garnett, Brian | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 52 | TBA | | TBA | Hugo | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
| 58 | TBA | | TBA | Goodhill | Default - none | 0 | 0 | 0 | Desc: | If this is your first semester of CSE599: You will need to submit a research proposal form in order to get enrolled off the waitlist. Please contact the CSE Graduate Coordinator for the correct proposal form at benos@wustl.edu |
| | |
|
| Description: | Computer vision is a fast-moving field, with the past few years seeing tremendous advances in the development of computational algorithms for solving visual tasks. This course is designed to introduce students to advanced and recently published techniques, including work in the areas of attention-based architectures, self-supervised/few-shot/zero-shot learning, explainable models, deep geometric methods, neural fields, generative image modeling, and vision-language models. Prerequisite: Any of CSE 559A (Computer Vision), CSE 555A (Computational Photography), CSE 527A (Natural Language Processing), CSE 561A (Large Language Models), or permission of the instructor. |
|
| | 01 | -T-R--- | 1:00P-2:20P | TBA | Jacobs | Paper/Project/TakeHome | 0 | 0 | 29 | | |
|
| | 01 | TBA | | TBA | Guerin | Default - none | 999 | 0 | 0 | | |
| 04 | TBA | | TBA | Brent | Default - none | 999 | 0 | 0 | | |
| 05 | TBA | | TBA | Agrawal | Default - none | 999 | 0 | 0 | | |
| 06 | TBA | | TBA | Baruah | Default - none | 999 | 0 | 0 | | |
| 07 | TBA | | TBA | Gill | Default - none | 999 | 0 | 0 | | |
| 08 | TBA | | TBA | Cole | Default - none | 999 | 0 | 0 | | |
| 09 | TBA | | TBA | Buhler | Default - none | 999 | 2 | 0 | | |
| 10 | TBA | | TBA | Ottley | Default - none | 999 | 0 | 0 | | |
| 11 | TBA | | TBA | Shook | Default - none | 999 | 0 | 0 | | |
| 12 | TBA | | TBA | Lu | Default - none | 999 | 0 | 0 | | |
| 13 | TBA | | TBA | Siever | Default - none | 999 | 0 | 0 | | |
| 14 | TBA | | TBA | Chamberlain | Default - none | 999 | 0 | 0 | | |
| 16 | TBA | | TBA | Juba | Default - none | 999 | 0 | 0 | | |
| 17 | TBA | | TBA | Kelleher | Default - none | 999 | 0 | 0 | | |
| 18 | TBA | | TBA | Neumann | Default - none | 999 | 0 | 0 | | |
| 19 | TBA | | TBA | Lee | Default - none | 999 | 0 | 0 | | |
| 20 | TBA | | TBA | Richard | Default - none | 999 | 0 | 0 | | |
| 21 | TBA | | TBA | Jacobs | Default - none | 999 | 1 | 0 | | |
| 22 | TBA | | TBA | Cosgrove | Default - none | 999 | 0 | 0 | | |
| 23 | TBA | | TBA | Garnett, Roman | Default - none | 999 | 0 | 0 | | |
| 24 | TBA | | TBA | Crowley | Default - none | 999 | 1 | 0 | | |
| 25 | TBA | | TBA | Zhang, W. | Default - none | 999 | 0 | 0 | | |
| 26 | TBA | | TBA | Chakrabartty | Default - none | 999 | 0 | 0 | | |
| 27 | TBA | | TBA | Ho | Default - none | 999 | 1 | 0 | | |
| 28 | TBA | | TBA | Vorobeychik | Default - none | 999 | 1 | 0 | | |
| 29 | TBA | | TBA | Zhang, N. | Default - none | 999 | 0 | 0 | | |
| 31 | TBA | | TBA | Buckley | Default - none | 999 | 0 | 0 | | |
| 32 | TBA | | TBA | Zhang, Silvia | Default - none | 999 | 0 | 0 | | |
| 33 | TBA | | TBA | [TBA] | Default - none | 999 | 0 | 0 | | |
| 34 | TBA | | TBA | Nehorai | Default - none | 999 | 0 | 0 | | |
| 35 | TBA | | TBA | Chen | Default - none | 999 | 0 | 0 | | |
| 36 | TBA | | TBA | [TBA] | Default - none | 999 | 0 | 0 | | |
| 37 | TBA | | TBA | Ju | Default - none | 999 | 0 | 0 | | |
| 38 | TBA | | TBA | Jain | Default - none | 999 | 0 | 0 | | |
| 39 | TBA | | TBA | Barbour | Default - none | 999 | 0 | 0 | | |
| 40 | TBA | | TBA | Shidal | Default - none | 999 | 0 | 0 | | |
| 42 | TBA | | TBA | Chaudhuri | Default - none | 999 | 0 | 0 | | |
| 43 | TBA | | TBA | Stormo | Default - none | 999 | 0 | 0 | | |
| 44 | TBA | | TBA | Lai | Default - none | 999 | 0 | 0 | | |
| 45 | TBA | | TBA | Cytron | Default - none | 999 | 0 | 0 | | |
| 46 | TBA | | TBA | Wang | Default - none | 999 | 0 | 0 | | |
| 47 | TBA | | TBA | Payne | Default - none | 999 | 0 | 0 | | |
| 48 | TBA | | TBA | Swamidass | Default - none | 999 | 0 | 0 | | |
| 49 | TBA | | TBA | Yeoh | Default - none | 999 | 0 | 0 | | |
| 50 | TBA | | TBA | Kamilov | Default - none | 999 | 1 | 0 | | |
| 51 | TBA | | TBA | Garnett, Brian | Default - none | 999 | 0 | 0 | | |
| 52 | TBA | | TBA | Hugo | Default - none | 999 | 0 | 0 | | |
| 53 | TBA | | TBA | Raviv | Default - none | 999 | 0 | 0 | | |
| 58 | TBA | | TBA | Goodhill | Default - none | 999 | 0 | 0 | | |
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| | 01 | --W---- | 1:00P-1:50P | (None) / | Lu | No final | 20 | 0 | 0 | Desc: | This course will be held in McKelvey 1030. |
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|
| | 01 | TBA | | TBA | Guerin | No final | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Chakrabarti | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Agrawal | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Baruah | No final | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Buhler | No final | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Ottley | No final | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Siever | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Chamberlain | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sproull | No final | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Kelleher | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Neumann | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Richard | No final | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Cosgrove | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Garnett, Roman | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Crowley | No final | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Zhang, W. | No final | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Chakrabartty | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Vorobeychik | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Zhang, N. | No final | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Ben Abraham | No final | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Buckley | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Zhang, Silvia | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Nehorai | No final | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Barbour | No final | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Shidal | No final | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Stormo | No final | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Cytron | No final | 0 | 0 | 0 | | |
| 48 | TBA | | TBA | Swamidass | No final | 0 | 0 | 0 | | |
| 50 | TBA | | TBA | Kamilov | No final | 0 | 0 | 0 | | |
| 51 | TBA | | TBA | Garnett, Brian | No final | 0 | 0 | 0 | | |
|
| | 01 | TBA | | TBA | Guerin | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Chakrabarti | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Agrawal | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Baruah | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Gill | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Cole | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Buhler | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Ottley | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Shook | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Lu | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Siever | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Chamberlain | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sproull | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Juba | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Kelleher | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Neumann | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lee | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Richard | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Cosgrove | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Garnett | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Crowley | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Zhang | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Ho | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Vorobeychik | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Zhang | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Ben Abraham | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Buckley | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Zhang | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Nehorai | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Ju | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Jain | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Swamidass | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Garnett | Default - none | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Hugo | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Cytron | Default - none | 0 | 0 | 0 | | |
| 48 | TBA | | TBA | Ma | Default - none | 0 | 0 | 0 | | |
| 53 | TBA | | TBA | Raviv | Default - none | 0 | 0 | 0 | | |
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| | 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Biswas | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 0 | 0 | 0 | | |
|
| | 01 | -T-R--- | 1:00P-2:20P | TBA | Silbaugh | Dec 17 2024 1:00PM - 3:00PM | 50 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M------ | 11:30A-12:50P | TBA | Ehrhard | Dec 17 2024 10:30AM - 12:30PM | 20 | 0 | 0 | Desc: | This course is intended for EECE transfer students and dual degree students only. |
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|
| | 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 0 | 0 | 0 | | |
|
| | 01 | -T-R--- | 2:30P-4:20P | TBA | Zhang, Brennan | Dec 18 2024 3:30PM - 5:30PM | 40 | 3 | 0 | | |
|
| | 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Singamaneni | No final | 0 | 0 | 0 | | |
|
| | 01 | M-W-F-- | 1:00P-1:50P | TBA | Russell | Dec 18 2024 1:00PM - 3:00PM | 45 | 14 | 0 | | |
|
| | 01 | MTWR--- | 9:00A-9:50A | TBA | Wang, Liang | Dec 16 2024 8:00AM - 10:00AM | 45 | 22 | 0 | | |
| A | ----F-- | 3:00P-3:50P | TBA | Wang, Liang | Default - none | 45 | 22 | 0 | | |
|
| | 01 | -T-R--- | 1:00P-2:20P | Urbauer / 214 | Wyckoff | Dec 17 2024 1:00PM - 3:00PM | 30 | 11 | 0 | | |
|
| | 01 | -T-R--- | 2:30P-3:50P | Urbauer / 214 | Wyckoff | Dec 18 2024 3:30PM - 5:30PM | 40 | 2 | 0 | | |
|
| | 01 | -T-R--- | 10:00A-11:20A | TBA | Turner | Dec 17 2024 6:00PM - 8:00PM | 50 | 9 | 0 | | |
|
| | 01 | M-W---- | 1:00P-2:20P | TBA | Martin, Wyckoff | Dec 18 2024 1:00PM - 3:00PM | 20 | 6 | 0 | | |
| A | ----F-- | 1:00P-2:50P | Urbauer / 214 | Martin, Wyckoff | Default - none | 20 | 6 | 0 | Desc: | This section will be held in Green Hall Room 3158. |
| | |
|
| | 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Delaney | No final | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 1 | | |
| 33 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 0 | 0 | 0 | | |
|
| | 01 | M-W-F-- | 10:00A-10:50A | TBA | Silbaugh | Dec 16 2024 10:30AM - 12:30PM | 60 | 22 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
| A | ----F-- | 9:00A-9:50A | TBA | Silbaugh | Default - none | 60 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
|
| | 01 | -T-R--- | 11:30A-12:50P | TBA | Xu | Dec 16 2024 1:00PM - 3:00PM | 60 | 22 | 0 | | |
| A | ----F-- | 12:00P-12:50P | TBA | Xu | Default - none | 30 | 17 | 0 | | |
| B | ----F-- | 2:00P-2:50P | TBA | Xu | Default - none | 30 | 5 | 0 | | |
|
| | 01 | -T----- | 10:00A-11:20A | TBA | Brennan, Russell | No final | 60 | 22 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
| B | -T----- | 1:00P-4:50P | Brauer Hall / 007 | Brennan, Russell | Default - none | 9 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
| C | --W---- | 1:00P-4:50P | Brauer Hall / 007 | Brennan, Russell | Default - none | 9 | 9 | 1 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
| D | ---R--- | 1:00P-4:50P | Brauer Hall / 007 | Brennan, Russell | Default - none | 9 | 9 | 2 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
|
| | 01 | M-W---- | 4:00P-5:20P | TBA | Ling | Dec 13 2024 6:00PM - 8:00PM | 15 | 12 | 0 | | |
|
| | 01 | M-W---- | 12:00P-12:50P | Lopata Hall / 101 | Wyckoff, Russell | Dec 18 2024 10:30AM - 12:30PM | 60 | 26 | 0 | Desc: | Chemical Engineering students should register for this section |
| | |
| 02 | M-W---- | 12:00P-12:50P | TBA | Wyckoff, Russell | Dec 18 2024 10:30AM - 12:30PM | 60 | 10 | 0 | Desc: | Environmental Engineering students should register for this section |
| | |
|
| | 01 | TBA | | TBA | Ehrhard, Ramani | No final | 15 | 10 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
|
| | 01 | -T-R--- | 1:00P-2:20P | TBA | Jiao | Dec 17 2024 1:00PM - 3:00PM | 20 | 7 | 0 | | |
|
| | 01 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Ehrhard | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
|
| | 01 | TBA | | TBA | Yablonsky | No final | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Zhang, Fuzhong | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 0 | 0 | 0 | | |
|
| | 01 | M-W-F-- | 10:00A-10:50A | TBA | Thimsen | Dec 16 2024 10:30AM - 12:30PM | 14 | 4 | 0 | | |
|
| | 01 | -T-R--- | 11:30A-12:50P | TBA | Zhu | Dec 16 2024 1:00PM - 3:00PM | 55 | 10 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| |
|
|
| Description: | Fundamental properties of particulate systems - physics of aerosols, size distributions, mechanics and transport of particles: diffusion, inertia, external force fields. Visibility and light scattering. Aerosol dynamics - coagulation, nucleation, condensation. Applications to engineered systems: Nanoparticle synthesis, atmospheric aerosols, combustion aerosols, pharmaceutical aerosols. Prerequisites: E44 EECE 301, E35 ESE 318 and E35 ESE 319 or graduate level standing or permission of instructor. |
|
| | 01 | -T-R--- | 10:00A-11:20A | TBA | Wang | Dec 17 2024 6:00PM - 8:00PM | 40 | 5 | 0 | | |
|
| | 01 | M-W---- | 2:30P-3:50P | TBA | Jun | Dec 16 2024 3:30PM - 5:30PM | 40 | 12 | 0 | | |
|
| | 01 | TBA | | TBA | Foston | No final | 30 | 0 | 0 | Desc: | All first year EECE PhD students must register for this course. |
| | |
|
| | 01 | M-W---- | 2:30P-3:50P | TBA | Axelbaum | Dec 16 2024 3:30PM - 5:30PM | 20 | 10 | 0 | | |
|
| | 01 | M-W---- | 1:00P-2:20P | TBA | Ditto | Dec 18 2024 1:00PM - 3:00PM | 20 | 3 | 0 | | |
|
| | 01 | M-W---- | 5:30P-7:00P | Crow / 206 | Parker | Dec 16 2024 6:00PM - 8:00PM | 20 | 6 | 0 | | |
|
| | 01 | -T-R--- | 8:30A-9:50A | TBA | He | No final | 25 | 3 | 0 | | |
|
| Description: | This course offers background in the organic chemistry, biology and thermodynamics related to understanding the conversion of biomass. In addition includes relevant topics relating to biomass feedstock origin, harvest, transportation, storage, processing and pretreatment along with matters concerning thermo- and bio-chemical conversion technologies required to produce fuels, energy, chemicals, and materials. Also, various issues with respect to biomass characterization, economics and environmental impact will be discussed. The main objective of the course is to introduce concepts central to a large-scale integrated biomass bioconversion system. Prerequisites: Senior or graduate level standing or permission of instructor |
|
| | 01 | -T-R--- | 2:30P-3:50P | TBA | Foston | Dec 18 2024 3:30PM - 5:30PM | 30 | 3 | 0 | | |
|
| Description: | Polymeric materials are critical to solving global challenges related to energy (e.g., batteries, membranes, and energy harvesting devices), sustainability (e.g., upcycling, compatibilizers, water purification, and bio-based plastics), and human health (e.g., wearable and implantable bioelectronics, stimuli-responsive soft robots, and hydrogels for drug delivery). This course covers how polymers are designed and processed across many length and time scales to achieve specific target properties for applications in energy, sustainability, and human health. Ideal and real chain conformations, persistence length, polymer architectures, scaling and blob theories, dispersity, networks and defects, and programmed interactions in heteropolymers will be covered. Analysis of polymer structure and dynamics will include: macroscopic and microscopic phase separation, crystallization and melting, glass transition behavior, rouse dynamics, linear viscoelasticity, processing methods, and network elasticity. Key polymer characterization methods including rheology and small- and wide-angle x-ray scattering will be introduced. The course will emphasize individual problem sets, in-class journal club participation, and team-based project work. |
|
| | 01 | -T-R--- | 1:00P-2:20P | TBA | [TBA] | Dec 17 2024 1:00PM - 3:00PM | 40 | 0 | 0 | | |
|
| | 01 | TBA | | TBA | [TBA] | No final | 999 | 0 | 0 | | |
| 03 | TBA | | TBA | Axelbaum | No final | 999 | 0 | 0 | | |
| 04 | TBA | | TBA | [TBA] | No final | 999 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 999 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 999 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 999 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 999 | 0 | 0 | | |
| 10 | TBA | | TBA | Pakrasi | No final | 999 | 0 | 0 | | |
| 11 | TBA | | TBA | [TBA] | No final | 999 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 999 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 999 | 0 | 0 | | |
| 16 | TBA | | TBA | Ravi | No final | 999 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 999 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 999 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 999 | 0 | 0 | | |
| 22 | TBA | | TBA | Tang | No final | 999 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 999 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 999 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 999 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 999 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 999 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 999 | 0 | 0 | | |
| 30 | TBA | | TBA | Moon | No final | 999 | 0 | 0 | | |
| 31 | TBA | | TBA | Zhang, Fuzhong | No final | 999 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 999 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 999 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 999 | 0 | 0 | | |
| 35 | TBA | | TBA | Ling | No final | 999 | 0 | 0 | | |
| 36 | TBA | | TBA | [TBA] | No final | 999 | 0 | 0 | | |
| 39 | TBA | | TBA | Yuan | No final | 999 | 0 | 0 | | |
|
| | 01 | TBA | | TBA | Ling | No final | 999 | 0 | 0 | | |
| 02 | TBA | | TBA | Wang | No final | 999 | 0 | 0 | | |
| 03 | TBA | | TBA | Axelbaum | No final | 999 | 0 | 0 | | |
| 04 | TBA | | TBA | Biswas | No final | 999 | 0 | 0 | | |
| 05 | TBA | | TBA | Ehrhard | No final | 999 | 0 | 0 | | |
| 06 | TBA | | TBA | Dudukovic | No final | 999 | 0 | 0 | | |
| 07 | TBA | | TBA | Giammar | No final | 999 | 0 | 0 | | |
| 08 | TBA | | TBA | Parker | No final | 999 | 1 | 0 | | |
| 09 | TBA | | TBA | Martin | No final | 999 | 0 | 0 | | |
| 10 | TBA | | TBA | Pakrasi | No final | 999 | 0 | 0 | | |
| 11 | TBA | | TBA | Liang | No final | 999 | 0 | 0 | | |
| 14 | TBA | | TBA | Turner | No final | 999 | 0 | 0 | | |
| 15 | TBA | | TBA | Sadtler | No final | 999 | 0 | 0 | | |
| 16 | TBA | | TBA | Ravi | No final | 999 | 0 | 0 | | |
| 18 | TBA | | TBA | Nissing | No final | 999 | 0 | 0 | | |
| 19 | TBA | | TBA | Lipeles | No final | 999 | 0 | 0 | | |
| 20 | TBA | | TBA | Brennan | No final | 999 | 0 | 0 | | |
| 22 | TBA | | TBA | Tang | No final | 999 | 0 | 0 | | |
| 23 | TBA | | TBA | Kumfer | No final | 999 | 0 | 0 | | |
| 24 | TBA | | TBA | Ramani | No final | 999 | 0 | 0 | | |
| 25 | TBA | | TBA | Henderson | No final | 999 | 0 | 0 | | |
| 26 | TBA | | TBA | Fortner | No final | 999 | 0 | 0 | | |
| 27 | TBA | | TBA | Williams | No final | 999 | 0 | 0 | | |
| 28 | TBA | | TBA | Silbaugh | No final | 999 | 0 | 0 | | |
| 29 | TBA | | TBA | Foston | No final | 999 | 0 | 0 | | |
| 30 | TBA | | TBA | Moon | No final | 999 | 0 | 0 | | |
| 31 | TBA | | TBA | Zhang, Fuzhong | No final | 999 | 0 | 0 | | |
| 32 | TBA | | TBA | Chakrabarty | No final | 999 | 0 | 0 | | |
| 33 | TBA | | TBA | Thimsen | No final | 999 | 0 | 0 | | |
| 34 | TBA | | TBA | Michels | No final | 999 | 0 | 0 | | |
| 37 | TBA | | TBA | Ditto | No final | 999 | 0 | 0 | | |
| 40 | TBA | | TBA | Yuan | No final | 999 | 1 | 0 | | |
|
 
| | 24 | TBA | | TBA | Shao | Default - none | 0 | 0 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | Computer Science & Engineering |
| | |
| 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | He | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 28 | TBA | | TBA | O'Sullivan | Default - none | 0 | 1 | 0 | | | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
| 39 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | Desc: | Materials Science and Engineering |
| | |
| 53 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 1 | Desc: | Computational and Data Sciences |
| | |
|
| | 24 | TBA | | TBA | Shao | Default - none | 0 | 0 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | Computer Science & Engineering |
| | |
| 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | He | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering
|
| | |
| 28 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering
|
| | |
| 39 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | Desc: | Materials Science and Engineering
|
| | |
| 53 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | Computational and Data Sciences
|
| | |
|
| | 01 | TBA | | (None) / | Bannes | Default - none | 0 | 0 | 0 | Desc: | Construction Management |
| | |
| 02 | TBA | | (None) / | Scherrer | Default - none | 0 | 0 | 0 | Desc: | Cybersecurity Management |
| | |
| 03 | TBA | | (None) / | Bade | Default - none | 0 | 0 | 0 | Desc: | Engineering Management |
| | |
| 04 | TBA | | (None) / | Love | Default - none | 0 | 0 | 0 | Desc: | Health Care Operations |
| | |
| 05 | TBA | | (None) / | Akbani | Default - none | 0 | 0 | 0 | Desc: | Information Management |
| | |
| 06 | TBA | | (None) / | Bade | Default - none | 0 | 0 | 0 | | | |
|
| | 24 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | | |
| 26 | TBA | | TBA | Feher | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | Silbaugh | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 29 | TBA | | TBA | Peters | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering & Materials Science |
| | |
| 30 | TBA | | TBA | Orr | Default - none | 0 | 0 | 0 | Desc: | Computer Engineering |
| | |
|
| | 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
|
| | 01 | TBA | | TBA | Bannes | Default - none | 0 | 0 | 0 | Desc: | Construction Management |
| | |
| 02 | TBA | | TBA | Scherrer | Default - none | 0 | 0 | 0 | Desc: | Cybersecurity Management |
| | |
| 03 | TBA | | TBA | Bade | Default - none | 0 | 0 | 0 | Desc: | Engineering Management |
| | |
| 04 | TBA | | TBA | Love | Default - none | 0 | 0 | 0 | Desc: | Health Care Operations |
| | |
| 05 | TBA | | TBA | Akbani | Default - none | 0 | 0 | 0 | Desc: | Information Management |
| | |
| 06 | TBA | | TBA | Bade | Default - none | 0 | 0 | 0 | | | |
| 24 | TBA | | TBA | Barbour | Default - none | 0 | 0 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Shidal | Default - none | 0 | 0 | 0 | | | |
| 26 | TBA | | TBA | Feher | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | Silbaugh | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 29 | TBA | | TBA | Peters | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
| 30 | TBA | | TBA | Orr | Default - none | 0 | 0 | 0 | Desc: | Computer Engineering |
| | |
|
| | 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
|
| | 24 | TBA | | TBA | Shao | Default - none | 0 | 36 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | Computer Science & Engineering |
| | |
| 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 14 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | He | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 28 | TBA | | TBA | O'Sullivan | Default - none | 0 | 6 | 0 | | | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 1 | Desc: | Mechanical Engineering |
| | |
| 39 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | Desc: | Materials Science and Engineering |
| | |
| 53 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | Computational & Data Sciences |
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|
| | 24 | TBA | | TBA | Shao | Default - none | 0 | 0 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | Computer Science & Engineering |
| | |
| 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | He | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 28 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
| 39 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | Desc: | Materials Science and Engineering |
| | |
| 53 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | Computational & Data Sciences |
| | |
|
| | 24 | TBA | | TBA | Shao | Default - none | 0 | 8 | 0 | Desc: | Biomedical Engineering |
| | |
| 25 | TBA | | TBA | Brent | Default - none | 0 | 0 | 0 | Desc: | Computer Science & Engineering |
| | |
| 26 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | Desc: | Electrical & Systems Engineering |
| | |
| 27 | TBA | | TBA | He | Default - none | 0 | 0 | 0 | Desc: | Energy, Environmental & Chemical Engineering |
| | |
| 28 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | | |
| 29 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | Desc: | Mechanical Engineering |
| | |
| 39 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | Desc: | Materials Science and Engineering |
| | |
| 53 | TBA | | TBA | Yeoh | Default - none | 0 | 0 | 0 | Desc: | Computational & Data Sciences |
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| | 01 | TBA | | (None) / | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | M------ | 3:00P-3:50P | TBA | Swafford, Russo | No final | 0 | 0 | 0 | Desc: | For students enrolled in joint Business + Computer Science program. |
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| | 01 | TBA | | (None) / | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | (None) / | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Dahlheimer | No final | 15 | 15 | 12 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | M-W---- | 11:30A-12:50P | TBA | Essner | No final | 15 | 15 | 8 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 03 | M-W---- | 10:00A-11:20A | Urbauer / 210 | Creighton | No final | 15 | 15 | 0 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 04 | M-W---- | 11:30A-12:50P | Urbauer / 210 | Creighton | No final | 15 | 15 | 3 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 05 | -T-R--- | 11:30A-12:50P | TBA | [TBA] | No final | 15 | 15 | 2 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 06 | -T-R--- | 1:00P-2:20P | TBA | [TBA] | No final | 15 | 15 | 2 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 07 | M-W---- | 1:00P-2:20P | TBA | Mittanck | No final | 15 | 15 | 5 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 08 | -T-R--- | 10:00A-11:20A | Urbauer / 210 | [TBA] | No final | 15 | 14 | 0 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 09 | -T-R--- | 11:30A-12:50P | Urbauer / 210 | [TBA] | No final | 15 | 15 | 0 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 10 | -T-R--- | 1:00P-2:20P | Urbauer / 210 | Schwelle | No final | 15 | 15 | 1 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 11 | M-W---- | 2:30P-3:50P | TBA | [TBA] | No final | 15 | 15 | 1 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 12 | M------ | 5:30P-8:00P | TBA | [TBA] | No final | 15 | 15 | 4 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 13 | -T-R--- | 10:00A-11:20A | TBA | [TBA] | No final | 15 | 9 | 0 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 14 | -T-R--- | 11:30A-12:50P | TBA | [TBA] | No final | 15 | 6 | 0 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 15 | M-W---- | 1:00P-2:20P | TBA | Essner | No final | 15 | 15 | 7 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 16 | --W---- | 5:30P-8:00P | TBA | [TBA] | No final | 15 | 15 | 2 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 17 | M-W---- | 1:00P-2:20P | TBA | [TBA] | No final | 15 | 15 | 3 | Desc: | Students enrolled in Technical Writing must attend the first week of class or their registration will be dropped to allow a waitlisted student in the course. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Study of statistics with probability in engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the central limit theorem. Applications: data visualization, point estimation, interval estimation, hypothesis testing, linear regression, design and analysis of experiments, tests of normality, multiple comparisons, non-parametric procedures, uncertainty analysis, and statistical ethics. This course has a required lab section where students will learn the basics of R to compute statistical analyses. Examples are taken from engineering applications with an equity lens. Prerequisites: Math 233 or equivalent. |
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Krone | Default - none | 120 | 49 | 0 | | |
| A | --W---- | 10:00A-10:50A | TBA | Krone | Default - none | 30 | 4 | 0 | | |
| B | --W---- | 12:00P-12:50P | TBA | Krone | Default - none | 30 | 30 | 0 | | |
| C | --W---- | 1:00P-1:50P | TBA | Krone | Default - none | 30 | 3 | 0 | | |
| D | --W---- | 3:00P-3:50P | TBA | Krone | Default - none | 30 | 12 | 0 | | |
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| | 01 | --W---- | 3:00P-3:50P | Urbauer / 116 | Krone, Ramsay, Pytka, Loum | Default - none | 10 | 4 | 0 | | |
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| | 01 | TBA | | (None) / | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | M------ | 4:00P-5:50P | TBA | Brumbaugh Walter | No final | 24 | 24 | 4 | Desc: | Class meeting dates: 8/26, 9/9, 9/16, 9/23, 9/30, and 10/14 |
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| 02 | --W---- | 4:00P-5:50P | TBA | Brumbaugh Walter | No final | 24 | 16 | 0 | Desc: | Class meeting dates: 8/28,9/4,9/11,9/18,9/25,10/2, and 10/16 |
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| 03 | -T----- | 2:30P-3:20P | TBA | Brumbaugh Walter | No final | 24 | 24 | 4 | | |
| 04 | -T----- | 3:30P-4:20P | TBA | Brumbaugh Walter | No final | 24 | 11 | 0 | | |
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| | 01 | -T----- | 12:00P-12:50P | TBA | Mittanck | No final | 22 | 20 | 0 | | |
| 02 | --W---- | 12:00P-12:50P | TBA | Mittanck | No final | 22 | 22 | 12 | | |
| 03 | -T----- | 3:00P-3:50P | TBA | Krone | No final | 22 | 22 | 11 | | |
| 04 | -T----- | 4:00P-4:50P | TBA | Krone | No final | 22 | 23 | 11 | | |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Mittanck | Default - none | 15 | 1 | 0 | | |
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| | 01 | TBA | | TBA | Dahlheimer, Thurman | Default - none | 0 | 0 | 55 | Desc: | In-person session dates are all day October 5, 6, 7, and 8 (the four days of Fall Break) and all day Saturday 12/07. The rest of the work is asynchronous. |
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| | 01 | TBA | | (None) / | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Martin | No final | 0 | 0 | 0 | | |
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| | 01 | M-W---- | 9:00A-9:50A | TBA | [TBA] | No final | 0 | 1 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 02 | M-W---- | 11:00A-11:50A | TBA | [TBA] | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 03 | M-W---- | 4:00P-4:50P | Crow / 205 | Essner | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 04 | M-W---- | 4:00P-4:50P | TBA | Schwelle | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 05 | -T-R--- | 9:00A-9:50A | TBA | [TBA] | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 06 | -T-R--- | 9:00A-9:50A | Urbauer / 210 | [TBA] | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 07 | M-W---- | 5:00P-5:50P | TBA | Meierotto | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 08 | -T-R--- | 4:00P-4:50P | TBA | Schwelle | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| 09 | M-W---- | 9:00A-9:50A | Urbauer / 210 | [TBA] | No final | 0 | 0 | 0 | Desc: | This is a course designed for international students. The course will provide students with tools to assist with language proficiency, career guidance and cultural learning experiences. |
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| Description: | Effective technical presentations require a complex set of skills. In this course, the presentation development process will be emphasized, and students will focus on elements such as structure, organization of content, diction, visuals, delivery, and audience interaction. Class members will learn the assertion-evidence method of slide development, which emphasizes key messages and visual information, rather than traditional bullet points. To help students gain confidence, the class will begin with improvisational exercises, and over the course of the semester, each student will deliver at least three speeches, each with a different purpose. Through ongoing analysis and discussion of video presentations, guest speakers' talks, and their classmates' presentations - and through routine practice, peer feedback, and self-reflection, students will continue to strengthen their skills. Although the primary focus will be on technical topics for non-specialists, in one segment of the course, students will learn methods and strategies for leading effective problem-solving sessions. |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Mittanck | Default - none | 15 | 1 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Sinopoli, Patwari | No final | 70 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| A | ----F-- | 1:00P-1:50P | TBA | Sinopoli | No final | 20 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| B | ----F-- | 2:00P-2:50P | TBA | Patwari | No final | 20 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| C | ----F-- | 3:00P-3:50P | TBA | Sinopoli | No final | 20 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| D | ----F-- | 4:00P-4:50P | Cupples II / L007 | Patwari | No final | 20 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Linear algebra is the foundation of scientific computing across many disciplines of engineering. This course will introduce the numerical and computational issues that arise from solving large-scale problems, with motivation from data science, machine learning, and signal processing. Topics to be covered include least-squares problems, eigenvalue/eigenvector analysis, singular value decomposition, component analysis, rotation of bases, and concepts of computational complexity and numerical stability. A focus of the class will be studying concepts from signal processing and machine learning such as K-means, Fourier analysis, wavelet analysis, and sampling within the framework of linear algebra. The course will include case studies touching on a broad range of topics including systems science, signals and imaging, devices and circuits, and quantum science/applied physics. Prerequisites: Linear algebra at the level of ESE 105; familiarity with Matlab. |
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| | 01 | -T-R--- | 10:00A-11:20A | Simon / 017 | Clark | Dec 17 2024 6:00PM - 8:00PM | 50 | 8 | 0 | | |
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| Description: | Electrical energy, current, voltage, and circuit elements. Resistors, Ohm's Law, power and energy, magnetic fields and dc motors. Circuit analysis and Kirchhoff's voltage and current laws. Thevenin and Norton transformations and the superposition theorem. Measuring current, voltage, and power using ammeters and voltmeters. Energy and maximum electrical power transfer. Computer simulations of circuits. Reactive circuits, inductors, capacitors, mutual inductance, electrical transformers, energy storage, and energy conservation. RL, RC and RLC circuit transient responses, biological cell action potentials due to Na and K ions. AC circuits, complex impedance, RMS current and voltage. Electrical signal amplifiers and basic operational amplifier circuits. Inverting, non-inverting, and difference amplifiers. Voltage gain, current gain, input impedance, and output impedance. Weekly laboratory exercises related to the lectures are an essential part of the course. Prerequisite: L31 Phys192 and 192L Corequisite: L24 Math 217 |
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| | 01 | -T-R--- | 1:00P-2:20P | TBA | Nussinov | Exam last day of class | 72 | 5 | 0 | Desc: | Discussion sections will be offered on Fridays with times to be determined. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| C | ---R--- | 2:30P-3:50P | Urbauer / 208 | Nussinov | Default - none | 24 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Siever | No final | 0 | 0 | 81 | Desc: | Learn about how this course manages its waitlist here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | TBA | | TBA | Lawrence | Default - none | 0 | 0 | 0 | | |
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| Description: | This is an exciting hands-on course where teams of students (in groups of 4-6) will put a broad range of their engineering skills to use by designing, constructing, and debugging a complex electro-mechanical robotic system. The robotic system will be targeted at some proposed real-world application. Each team will engineer and implement their own solution to the problem. This course is designed to teach students how to apply their theory-based classroom engineering knowledge by exposing students to the design/test/debug/iterate process needed to develop a working integrated system. Some of the topics/skills experienced in the class will include feedback control, real sensor/actuator implementation, circuit design/layout, soldering, asynchronous programming, project management, Design-For-Manufacturability, and more. Students will use the WUSTL Maker Space in this class to learn other valuable hands-on skills (e.g. CAD, CNC machining, 3D printing, laser cutting, etc.). This course will consist of one weekly lecture and a weekly lab component.
Course Prerequisites: ESE205 or instructor permission
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| | 01 | -T-R--- | 4:00P-5:50P | Jubel / 138 | Mell | Default - none | 24 | 23 | 0 | | |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Wormleighton | No final | 30 | 9 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Brennan | Dec 16 2024 10:30AM - 12:30PM | 30 | 30 | 6 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T-R--- | 11:30A-12:50P | TBA | Zhu | Dec 16 2024 1:00PM - 3:00PM | 30 | 9 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | Hasting | Dec 17 2024 6:00PM - 8:00PM | 30 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T-R--- | 2:30P-3:50P | Lopata Hall / 101 | Brennan | Dec 18 2024 3:30PM - 5:30PM | 30 | 15 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Study of probability and statistics together with engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, geometric probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the law of large numbers, the central limit theorem. Applications: reliability, quality control, acceptance sampling, linear regression, design and analysis of experiments, estimation, hypothesis testing. Examples are taken from engineering applications. Prerequisites: Math 233 or equivalent. |
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| | 01 | M-W---- | 10:00A-11:20A | Whitaker / 100 | Zhang | Dec 16 2024 10:30AM - 12:30PM | 115 | 25 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Lawrence | Dec 16 2024 3:30PM - 5:30PM | 35 | 27 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 10:00A-11:20A | Urbauer / 115 | Wang | Dec 17 2024 6:00PM - 8:00PM | 24 | 18 | 0 | | |
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| Description: | This course introduces the design of classification and estimation systems for equity, that is, with the goal of reducing the inequities of racism, sexism, xenophobia, ableism, and other systems of oppression. Systems which change the allocation of resources among people can increase inequity due to their inputs, the systems themselves, or how the systems interact in the context in which they are deployed. This course presents background in power and oppression, to help predict how new technological and societal systems might interact, and when they might confront or reinforce existing power systems. Measurement theory, the study of the mismatch between a system's intended measure and the data it actually uses, is covered. Multiple example sensing and classification systems which operate on people (e.g., optical, audio, and text sensors) are covered by implementing algorithms and quantifying inequitable outputs. Prerequisite: ESE 105 or 217A or CSE 417T. Background readings will be available.
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Chamberlain | Dec 18 2024 3:30PM - 5:30PM | 0 | 0 | 24 | Desc: | Prerequisite of CSE 260M or instructor approval of equivalent experience is required. Learn more about waitlists here: https://faq.cse.wustl.edu/#why-am-i-on-a-waitlist-how-are-waitlists-managed-what-are-my-chances-of-enrollment-what-is-managed-by-waitlist |
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| | 01 | TBA | | TBA | Feher | Default - none | 0 | 0 | 0 | | |
| 02 | TBA | | TBA | Richter | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ching | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Zeng | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Lew | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Trobaugh | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Li | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shen | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Bhan | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | La Rosa | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Sinopoli | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Wang, Dorothy | Default - none | 0 | 0 | 0 | | |
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| | 01 | M-W---- | 11:30A-12:50P | Brauer Hall / 012 | Zeng | Dec 17 2024 10:30AM - 12:30PM | 70 | 44 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 11:30A-12:50P | TBA | Zhang | Dec 16 2024 1:00PM - 3:00PM | 100 | 47 | 0 | | |
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| Description: | Description: Deep learning has recently become the dominant paradigm in machine learning and artificial intelligence. It has wide-ranging applications in engineering and science, such as computer vision, natural language processing, sequence modeling and physical system simulation. This course is a practical introduction to deep neural networks (DNN) within the
broader context of machine learning. Topics to be covered include: practical review of classical ML methods (PCA, logistic regression, naive Bayes, KNN, SVM); feedforward, convolutional and recurrent neural networks; optimization for training DNN; generalization, validation and hyperparameter tuning; overfitting, underfitting and bias-variance trade-off; classification, clustering and regression; representation learning; sequence models; generative
models. Students will experiment with architectures and algorithms using Keras, TensorFlow and Wolfram Language. Class time will be allocated approximately equally between structured instruction and group discussions plus practical exercises. Students will collaborate in groups of 5 on a semester-long project. Students can propose their own projects or choose from a list provided by the instructor. Projects should be similar to real-world problems and include a value proposition. Progress will be evaluated throughout the semester. The course will include a final report, and a presentation open to the academic community.
Prerequisites: ESE 326, ESE 415, ESE 417 (or CSE 417), experience in programming in Python or Wolfram Language. Second-year graduate or senior undergraduate standing.
Enrollment for Fall 2024 is by permission of the instructor only subject to successful assessment of the prerequisites. Waits will be managed by department.
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| | 01 | M-W---- | 11:30A-12:50P | TBA | Tunay | No final | 0 | 0 | 6 | | |
| A | ----F-- | 4:00P-4:50P | TBA | Tunay | No final | 0 | 0 | 0 | | |
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| Description: | This course provides an accessible introduction to quantum mechanics and quantum engineering for undergraduate students. Examples are drawn from practical areas of applications of quantum engineering. This course covers the following topics and examples: quantum mechanics and nano-technology, Schrodinger's equation, electrons transport in various potential profiles, quantum dots and defects, harmonic oscillator, nano-mechanical oscillator and quantum LC circuit, Stark effect in semiconductors, Bloch theorem, crystal and band structures, Kronig-Penney and tight-binding models, semiclassical and quantum descriptions of light-atom interactions, spontaneous and stimulated emissions, quantum flip-flops, approximate methods in quantum mechanics, spin, quantum gyroscope, spin transistor, and many-particle quantum mechanics for bosons and fermions. In addition, we will also discuss the physical foundations and applications in quantum information science (quantum computation, communication, and cryptography). Prerequisites: Simple differential equations and matrix algebra, at the level of ESE
318/319 Engineering Mathematics A/B or equivalent. Familiarity with a modern scientific computing software package (e.g., Matlab, Mathematica, or any of your favorites)
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| | 01 | M-W---- | 1:00P-2:20P | TBA | Lew | Dec 18 2024 1:00PM - 3:00PM | 25 | 7 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Nagulu | Dec 13 2024 6:00PM - 8:00PM | 25 | 10 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Davies | No final | 15 | 3 | 0 | | | |
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| | 01 | -T----- | 5:30P-7:00P | Urbauer / 115 | Abdelkamel | Paper/Project/TakeHome | 6 | 4 | 0 | | |
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| Description: | This course covers the fundamentals of semiconductor physics and operation principles of modern solid-state devices such as homo- or hetero-junction diodes, solar cells, inorganic/organic light-emitting diodes, bipolar junction transistors, and metal-oxide-semiconductor field-effect transistors. These devices form the basis for today's semiconductor and integrated circuit industry. In additional to device physics, semiconductor device fabrication processes, new materials, and novel device structures will also be briefly introduced. At the end of this course, students will be able to understand the characteristics, operation, limitations and challenges faced by state-of-the-art semiconductor devices. This course will be particularly useful for students who wish to develop careers in the semiconductor industry. Prerequisite: ESE 232 |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Wang | Dec 16 2024 10:30AM - 12:30PM | 30 | 21 | 0 | | |
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| Description: | The course provide engineering students with basic understanding of two of the main components of any modern electrical or electromechanical system; sensors as inputs and actuators as outputs. The covered topics include transfer functions, frequency responses and feedback control. Component matching and bandwidth issues. Performance specification and analysis, Sensors: analog and digital motion sensors, optical sensors, temperature sensors, magnetic and electromagnetic sensors, acoustic sensors, chemical sensors, radiation sensors, torque, force and tactile sensors. Actuators: stepper motors, DC and AC motors, hydraulic actuators, magnet and electromagnetic actuators, acoustic actuators. Introduction to interfacing methods: bridge circuits, A/D and D/A converters, microcontrollers. This course is useful for those students interested in control engineering, robotics and systems engineering. Prerequisites: one of the following 4 conditions:(1) ESE 230, ESE 351 (corequisite); (2) ESE 230, ESE 318 and MEMS 255; (3) ESE 351 or MEMS 4310; (4) permission of instructor. |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Becnel | Dec 17 2024 6:00PM - 8:00PM | 36 | 14 | 0 | Desc: | Occasional labs on Thursdays in Urbauer 115. |
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| Description: | Integration of dynamical systems and control engineering principles toward the manipulation of a quadrotor unmanned aerial vehicle (UAV), sometimes referred to as a drone. Students will analytically transform a nonlinear description of the UAV system used for dynamic simulation into a conventional, linear state space system. Students will use key control engineering concepts, including system identification, state estimation and control synthesis, in order to command their UAV's to hover, climb and orbit. In addition to principles of estimation and identification, students will also learn about the theory of guidance and navigation, with projects such as flight planning and execution, collision avoidance, and competitive or cooperative tasks, e.g., formation flight. The overall objective is to expose students to the fusion of control, estimation, and identification techniques that are fundamental to systems theory. Prerequisite: ESE 441 and knowledge of a programming language, or permission of instructor.
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| | 01 | -T-R--- | 6:00P-8:00P | Green Hall / 1157 | Bhan | No final | 24 | 3 | 0 | Desc: | Lectures will be held via zoom with breakout sessions to coordinate with lab groups. Assigned class space, Green 0161, will be available for students to test-fly drones. The space will be reserved individually on an as needed basis. |
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| | 01 | -T----- | 1:00P-2:20P | Urbauer / 115 | Richter | Dec 17 2024 1:00PM - 3:00PM | 24 | 10 | 0 | | |
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| Description: | This course introduces the issues, challenges, and methods for designing embedded computing systems -- systems designed to serve a particular application and which incorporate the use of digital processing devices. Examples of embedded systems include cellular phones, appliances, game consoles, automobiles, and drones. Emphasis is given to aspects of design that are distinct to embedded systems. The course examines hardware, software, and system-level design. Hardware topics include microcontrollers, digital signal processors, memory hierarchy, and I/O. Software issues include languages, run-time environments, and program analysis. System-level topics include real-time operating systems, scheduling, power management, and wireless sensor networks. Students will perform a course project on a real embedded system testbed. Prerequisites: CSE 260M (and either CSE 132 or ESE 205). |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Ivanovich | Paper/Project/TakeHome | 30 | 18 | 0 | | |
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| | 01 | M-W---- | 5:30P-7:00P | Jubel / 121 | Sutton | Dec 16 2024 6:00PM - 8:00PM | 27 | 20 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 1:00P-2:20P | TBA | Trobaugh, Lew | Paper/Project/TakeHome | 0 | 0 | 18 | Desc: | Department to manage waitlist, max of 10 students for pilot offering |
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| | 03 | TBA | | TBA | Ching | Default - none | 0 | 0 | 1 | | |
| 04 | TBA | | TBA | Richter | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Lew | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Kamilov | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Zhou | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Kantaros | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Li | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shen | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Murch | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Patwari | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Lawrence | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Bae | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Nagulu | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Trobaugh | Default - none | 0 | 0 | 1 | | |
| 44 | TBA | | TBA | Sinopoli | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Hu | Default - none | 0 | 0 | 0 | | |
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| Description: | Capstone design project supervised by the course instructor. The project must use the theory, techniques, and concepts of the student's major: electrical engineering or systems science & engineering. The solution of a real technological or societal problem is carried through completely, starting from the stage of initial specification, proceeding with the application of engineering methods, and terminating with an actual solution. Collaboration with a client, typically either an engineer or supervisor from local industry or a professor or researcher in university laboratories, is encouraged. A proposal, an interim progress update, and a final report are required, each in the forms of a written document and oral presentation, as well as a Web page on the project. Weekly progress reports and meetings with the instructor are also required. Prerequisite: ESE senior standing and instructor's consent. Note: this course will meet at the scheduled time only during select weeks. If you cannot attend at that time, you may still register for the course. |
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| | 01 | ----F-- | 2:00P-3:50P | TBA | Wang | No final | 0 | 0 | 14 | | |
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| Description: | Capstone design project supervised by the course instructor. The project must use the theory, techniques, and concepts of the student's major: electrical engineering or systems science & engineering. The solution of a real technological or societal problem is carried through completely, starting from the stage of initial specification, proceeding with the application of engineering methods, and terminating with an actual solution. Collaboration with a client, typically either an engineer or supervisor from local industry or a professor or researcher in university laboratories, is encouraged. A proposal, an interim progress update, and a final report are required, each in the forms of a written document and oral presentation, as well as a Web page on the project. Weekly progress reports and meetings with the instructor are also required. Prerequisite: ESE senior standing and instructor's consent. Note: this course will meet at the scheduled time only during select weeks. If you cannot attend at that time, you may still register for the course. |
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| | 01 | ----F-- | 2:00P-3:50P | TBA | Wang | No final | 0 | 0 | 4 | | |
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| | 04 | TBA | | TBA | Patwari | No final | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Kamilov | No final | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | No final | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | No final | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | No final | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Culver | No final | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Chakrabartty | No final | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Nagulu | No final | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Sinopoli | No final | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Jacobs | No final | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Feher | Default - none | 0 | 0 | 1 | | |
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| Description: | Matrix algebra: systems of linear equations, vector spaces, linear independence and orthogonality in vector spaces, eigenvectors and eigenvalues; Vector calculus: gradient, divergence, curl, line and surface integrals, theorems of Green, Stokes, and Gauss; Elements of Fourier analysis and its applications to solving some classical partial differential equations, heat, wave, and Laplace equation. Prerequisite: ESE 318 and ESE 319 or equivalent or consent of instructor. This course will not count toward the ESE doctoral program. |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | Kurenok | Dec 13 2024 6:00PM - 8:00PM | 65 | 8 | 0 | | |
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| Description: | Large-scale optimization is an essential component of modern data science, artificial intelligence, and machine learning. This graduate-level course rigorously introduces optimization methods that are suitable for large-scale problems arising in these areas. We will learn several algorithms suitable for both smooth and nonsmooth optimization, including gradient methods, proximal methods, mirror descent, Nesterov's acceleration, ADMM, quasi-Newton methods, stochastic optimization, variance reduction, as well as distributed optimization. Throughout the class, we will discuss the efficacy of these methods in concrete data science problems, under appropriate statistical models. Students will be required to program in python or MATLAB. Prerequisites: CSE 247, Math 309, (Math 3200 or ESE 326), ESE 415. |
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| | 01 | M-W---- | 1:00P-2:20P | TBA | Kamilov | Dec 18 2024 1:00PM - 3:00PM | 0 | 0 | 67 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | Kurenok | Dec 18 2024 6:00PM - 8:00PM | 90 | 31 | 0 | | |
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| Description: | In this course, students will learn through hands-on experience the application of analytics to support data-driven decisions. Through lectures and the execution of a project (to be defined at the beginning of the semester), students will learn to use descriptive, predictive, and prescriptive analytics. Lectures will focus on presenting analytic topics relevant to the execution of the project, including analytic model development, data quality and data models, review of machine learning algorithms (unsupervised, supervised, and semi-supervised approaches), model validation, insights generation and results communication, and code review and code repository. Students are expected to demonstrate the application of these concepts through the execution of a one-semester project. Students can propose their own projects or choose from a list of projects made available by the lecturer. Projects should reflect real-world problems with a clear value proposition. Progress will be evaluated and graded periodically during the semester, and the course will include a final presentation open to the academic community. Prerequisites: ESE 520 (or Math 493 and 494), ESE 417 or CSE 417T, ESE 415 and declaration of the MS in DAS. |
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| Description: | This course covers the following topics: quantum mechanics for quantum optics, radiative transitions in atoms, lasers, photon statistics (photon counting, Sub-/Super-Poissionian photon statistics, bunching, anti-bunching, theory of photodetection, shot noise), entanglement, squeezed light, atom-photon interactions, cold atoms, atoms in cavities. If time permits, the following topics will be selectively covered: quantum computing, quantum cryptography, and teleportation. Prerequisites: ESE 330 and Physics 217 or Physics 421 |
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| | 01 | M-W---- | 1:00P-2:20P | Green Hall / L0120 | Shen | No final | 30 | 20 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Advanced design and analysis of control systems by state-space methods: classical control review, Laplace transforms, review of linear algebra (vector space, change of basis, diagonal and Jordan forms), linear dynamic systems (modes, stability, controllability, state feedback, observability, observers, canonical forms, output feedback, separation principle and decoupling), nonlinear dynamic systems (stability, Lyapunov methods). Frequency domain analysis of multivariable control systems. State space control system design methods: state feedback, observer feedback, pole placement, linear optimal control. Design exercises with CAD (computer-aided design) packages for engineering problems. Prerequisite: ESE 351 and ESE 441, or permission of instructor.
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| | 01 | ----F-- | 1:00P-3:50P | TBA | Wise | Exam last day of class | 40 | 19 | 0 | | |
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| | 01 | -T-R--- | 1:00P-2:20P | TBA | Chen | Dec 17 2024 1:00PM - 3:00PM | 20 | 7 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | Lopata Hall / 229 | Li | Dec 13 2024 6:00PM - 8:00PM | 56 | 12 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M-W---- | 5:30P-7:00P | TBA | Hall | No final | 75 | 21 | 0 | | |
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| | 01 | M-W---- | 11:30A-12:50P | TBA | Chakrabartty | Dec 17 2024 10:30AM - 12:30PM | 22 | 22 | 9 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | [TBA] | Paper/Project/TakeHome | 30 | 14 | 0 | | |
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| Description: | This course will cover the theoretical and practical knowledge needed to design, construct, and use a nonlinear optical microscope. The course will focus on the relevant optical physics and instrumentation for different types of nonlinear optical microscopy, and additionally provide some information on applications and image processing. Topics include: ultrafast lasers, detectors, nonlinear susceptibility, nonlinear wave equation, quantum theory of nonlinear optics, harmonic generation, multiphoton fluorescence, fluorescence lifetime, optical metabolic imaging, coherent Raman scattering, and multimodal nonlinear optical microscopy. Prerequisites: Electromagnetism, at the level of ESE 330, and familiarity with Python or Matlab |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | [TBA] | See instructor | 25 | 1 | 0 | | |
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| | 01 | M-W---- | 2:30P-3:50P | Whitaker / 218 | Jha, A | Dec 16 2024 3:30PM - 5:30PM | 35 | 23 | 0 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | O'Sullivan | Dec 18 2024 6:00PM - 8:00PM | 15 | 9 | 0 | | |
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| | 05 | TBA | | TBA | Wormleighton | No final | 0 | 0 | 1 | | |
| 08 | TBA | | TBA | Kamilov | No final | 0 | 0 | 1 | | |
| 13 | TBA | | TBA | O'Sullivan | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Patwari | No final | 0 | 0 | 1 | | |
| 32 | TBA | | TBA | Kurenok | No final | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Nagulu | No final | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Chakrabartty | No final | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Chamberlain | No final | 0 | 0 | 1 | | |
| 42 | TBA | | TBA | Kantaros | No final | 0 | 0 | 1 | | |
| 43 | TBA | | TBA | Culver | No final | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Sotiras | No final | 0 | 0 | 0 | | |
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| | 04 | TBA | | TBA | Sinopoli | No final | 9 | 1 | 0 | | |
| 08 | TBA | | TBA | Kamilov | No final | 9 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | No final | 9 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang, Chuan | No final | 9 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | No final | 9 | 0 | 0 | | |
| 37 | TBA | | TBA | Chakrabartty | No final | 9 | 0 | 0 | | |
| 39 | TBA | | TBA | Patwari | No final | 9 | 0 | 0 | | |
| 40 | TBA | | TBA | Sotiras | No final | 9 | 1 | 0 | | |
| 45 | TBA | | (None) / | Lawrence | No final | 9 | 0 | 0 | | |
| 46 | TBA | | (None) / | Zhou | No final | 9 | 0 | 0 | | |
| 47 | TBA | | (None) / | Monosov | No final | 9 | 0 | 0 | | |
| 48 | TBA | | (None) / | Goodhill | No final | 9 | 1 | 0 | | |
| 49 | TBA | | (None) / | Nagulu | No final | 9 | 0 | 0 | | |
| 50 | TBA | | (None) / | Kantaros | No final | 9 | 0 | 0 | | |
| 51 | TBA | | (None) / | Clark | No final | 9 | 2 | 0 | | |
| 52 | TBA | | (None) / | An | No final | 9 | 1 | 0 | | |
| 53 | TBA | | (None) / | Lu | No final | 9 | 0 | 0 | | |
| 54 | TBA | | (None) / | Gastounioti | No final | 9 | 0 | 0 | | |
| 55 | TBA | | (None) / | Lawrence | No final | 9 | 0 | 0 | | |
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| | 01 | TBA | | TBA | O'Sullivan | No final | 35 | 2 | 0 | | |
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| | 01 | M------ | 9:00A-11:20A | Urbauer / 112 | Tapella | No final | 0 | 0 | 1 | Desc: | Waitlist to register for this section.
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| 02 | M------ | 1:00P-3:20P | Urbauer / 112 | Pfingsten | No final | 0 | 0 | 2 | Desc: | Waitlist to register for this section.
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| 03 | -T----- | 9:00A-11:20A | Urbauer / 112 | Tapella | No final | 0 | 0 | 0 | Desc: | Waitlist to register for this section.
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| 04 | --W---- | 9:00A-11:20A | Urbauer / 112 | Tapella | No final | 0 | 0 | 0 | Desc: | Waitlist to register for this section. |
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| 05 | ---R--- | 9:00A-11:20A | Urbauer / 112 | Tapella | No final | 0 | 0 | 0 | Desc: | Waitlist to register for this section. |
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| 06 | ---R--- | 1:00P-3:20P | Urbauer / 112 | Pfingsten | No final | 0 | 0 | 4 | Desc: | Waitlist to register for this section.
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| | 01 | -T----- | 1:00P-2:50P | Jubel / 138 | Tapella | Default - none | 0 | 0 | 4 | | |
| 02 | ---R--- | 1:00P-2:50P | Jubel / 138 | Tapella | Default - none | 0 | 0 | 1 | | |
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| | 01 | -T-R--- | 10:00A-11:20A | Jubel / 138 | Krampf | No final | 0 | 0 | 0 | Desc: | Wait list to register for this section. First year mechanical engineering majors will be given priority. |
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| 02 | -T-R--- | 1:00P-2:20P | Jubel / 138 | Krampf | No final | 0 | 0 | 2 | Desc: | Wait list to register for this section. First year mechanical engineering majors will be given priority. |
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| 03 | -T-R--- | 2:30P-3:50P | Jubel / 138 | Krampf | No final | 0 | 0 | 0 | Desc: | Wait list to register for this section. First year mechanical engineering majors will be given priority. |
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| Description: | The purpose of the course is to introduce and expand student knowledge of the field of electrical circuits. The course will be tailored to better meet the needs of Mechanical Engineering students and should not be a substitution for the traditional ESE students. The course will be a lecture/lab environment and introduce students to various concepts necessary to analyze basic electrical circuits. The main objective is to give each student a comfort level in the subject of electrical circuits, which will serve as both a basis for further study and a valuable life-long asset. Topics to be covered include: electrical energy and power, current, voltage, and circuit elements (resistors, capacitors, inductors, diodes, transistors, and operational amplifiers), Ohm's law, magnetic fields and motors, Kirchhoff's laws, Thevenin/Norton, superposition, circuit analysis, maximum power transfer, RL circuits, RC circuits, RLC circuits, filters, basic operational amplifier circuits, AC/DC power supplies, Arduino microcontroller, level shifters, I2C bus interface, stepper motor drivers, servo motor/encoder system, and PWM.
Prerequisites: Phys 192 or 194. Corequisite: Math 217.
The class format will be a lecture/lab combination where major lab projects will be the basis for lecture material. |
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| | 01 | M-W---- | 2:00P-2:50P | TBA | [TBA] | Dec 16 2024 3:30PM - 5:30PM | 64 | 23 | 0 | | |
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| Description: | An introduction to computer aided engineering design in the context of mechanical and structural engineering. Students learn the fundamentals of spatial reasoning and graphical representation. Freehand sketching skills, including pictorial and orthographic views, are applied to the design process. Computer modeling techniques provide accuracy, analysis, and visualization tools necessary for the design of structures, devices and machines. Topics include: detailing design for production, fasteners, dimensioning, tolerancing, creation of part and assembly drawings, computer aided design, analysis and optimization of parts and assemblies; solid modeling of complex surfaces, assembly modeling, assembly constraints, and interference checking. |
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| Description: | Principles of statics, solid mechanics, force systems and equilibrium. Equivalent systems of forces and distributed forces. Applications to trusses, frames, machines, beams, and cables. Mechanics of deformable solids and indeterminate problems. Stress, strain, deflection, yield and failure in beams, columns, and torsion members. Two evening exams at which attendance is required will be held on TBD. Prerequisites: Physics 191 Co-requisites: Math 217 |
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| | 01 | M-W-F-- | 1:00P-1:50P | TBA | Lake | Dec 13 2024 3:30PM - 5:30PM | 55 | 4 | 0 | | |
| 02 | M-W-F-- | 10:00A-10:50A | TBA | Woodhams | Dec 13 2024 3:30PM - 5:30PM | 55 | 2 | 0 | | |
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| | 01 | M-W-F-- | 11:00A-11:50A | TBA | Karunamoorthy | Dec 17 2024 10:30AM - 12:30PM | 50 | 4 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 8:30A-9:50A | TBA | Li | Dec 13 2024 1:00PM - 3:00PM | 100 | 63 | 0 | | |
| A | ----F-- | 2:00P-2:50P | TBA | Li | Default - none | 100 | 63 | 0 | Desc: | In person meeting required |
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| Description: | This hands-on course introduces students to the engineering design process and a variety of prototyping tools and techniques. Skills are developed through weekly studios, individual exercises, and a design project performed in small groups. Lectures focus on design principles and real-world issues for engineered products. The theme for this semester is "environmental data collectors," seeking to create accurate, robust, low-cost, and easy-to-use devices that measure and record physical conditions (such as temperature, chemical content, noise, light, wind velocity, etc.) for ecological and environmental research. |
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| | 01 | -T----- | 11:30A-12:50P | Weil / 010 | Potter | Dec 16 2024 1:00PM - 3:00PM | 0 | 0 | 15 | Desc: | Interested registrants will be waitlisted and asked to submit an application over the summer. Students must join the wait list by June 1st to receive the application link (via email), and must submit the online application by July 1st. Those who complete the application can expect notification of enrollment/non-enrollment by July 14th. |
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| A | --W---- | 1:00P-2:20P | Jubel / 138 | Potter | Default - none | 0 | 0 | 7 | | |
| B | ---R--- | 11:30A-12:50P | Jubel / 138 | Potter | Default - none | 0 | 0 | 8 | | |
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| Description: | Fundamental concepts of fluids as continua. Topics include: viscosity, flow fields, velocity, vorticity, streamlines, fluid statics, hydrostatic forces, manometers, conservation of mass and momentum, incompressible inviscid flow, dimensional analysis and similitude, flow in pipes and ducts, flow measurement, boundary-layer concepts, flow in open channels. Corequisite: MEMS 255. Prerequisites: Math 233 and Math 217. |
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| | 01 | -T-R--- | 11:30A-12:50P | Hillman / 60 | Boyd | Dec 12 2024 10:30AM - 12:30PM | 50 | 30 | 0 | | |
| 02 | -T-R--- | 1:00P-2:20P | Hillman / 60 | Boyd | Dec 12 2024 10:30AM - 12:30PM | 50 | 37 | 0 | | |
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| | 01 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Axelbaum | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Singamaneni | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Potter | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Agarwal | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Flores | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Renieri | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Kelton | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Weisensee | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Peters | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Woodhams | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Foston | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Bai | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Boyd | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Lake | Default - none | 0 | 0 | 1 | | |
| 21 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Jakiela | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Brandon | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Wagenseil | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Bersi | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Sellers | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Okamoto | Default - none | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Suleiman | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Elson | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Li | Default - none | 0 | 0 | 1 | | |
| 32 | TBA | | TBA | Tang | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Williams | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Meacham | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Karunamoorthy | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Yin | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Harris | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Thimsen | No final | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Brumbaugh Walter | No final | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Guilak | No final | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | No final | 0 | 0 | 0 | | |
| 47 | TBA | | (None) / | Jha | Default - none | 0 | 0 | 0 | | |
| 51 | TBA | | (None) / | Oyen | No final | 0 | 0 | 0 | | |
| 52 | TBA | | (None) / | Kantaros | Default - none | 0 | 0 | 0 | | |
| 53 | TBA | | (None) / | Jun | Default - none | 0 | 0 | 0 | | |
| 54 | TBA | | TBA | Weilbaecher | No final | 0 | 0 | 0 | | |
| 56 | TBA | | (None) / | Zellers | Default - none | 0 | 0 | 0 | | |
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| | 01 | M------ | 12:00P-12:50P | TBA | Bayly, Asinugo | No final | 100 | 97 | 0 | | |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Holland | Paper/Project/TakeHome | 32 | 32 | 3 | | |
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| | 01 | M-W-F-- | 10:00A-10:50A | TBA | Asinugo, Potter | Paper/Project/TakeHome | 100 | 93 | 0 | | |
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| | 01 | M-W-F-- | 11:00A-11:50A | TBA | Peters | Dec 12 2024 3:30PM - 5:30PM | 52 | 53 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 02 | M-W-F-- | 9:00A-9:50A | TBA | Karunamoorthy | Dec 12 2024 3:30PM - 5:30PM | 52 | 45 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 03 | TBA | | TBA | Axelbaum | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Singamaneni | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Potter | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | (None) / | Stegh | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Pitt | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Agarwal | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Flores | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Renieri | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Kelton | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Weisensee | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Peters | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Woodhams | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Foston | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Bai | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Boyd | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Lake | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Jakiela | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Wagenseil | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Sellers | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Okamoto | Default - none | 0 | 0 | 1 | | |
| 29 | TBA | | TBA | Suleiman | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Elson | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Li | Default - none | 0 | 0 | 1 | | |
| 32 | TBA | | TBA | Tang | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Williams | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Meacham | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Karunamoorthy | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Yin | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Harris | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Zayed | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Thimsen | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Yang | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Guilak | Default - none | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Guan | Default - none | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | Default - none | 0 | 0 | 0 | | |
| 47 | TBA | | TBA | Jha | Default - none | 0 | 0 | 0 | | |
| 48 | TBA | | TBA | Bae | Default - none | 0 | 0 | 0 | | |
| 51 | TBA | | TBA | Oyen | Default - none | 0 | 0 | 0 | | |
| 52 | TBA | | TBA | Kantaros | Default - none | 0 | 0 | 0 | | |
| 53 | TBA | | TBA | Jun | Default - none | 0 | 0 | 0 | | |
| 54 | TBA | | TBA | Weilbaecher | Default - none | 0 | 0 | 0 | | |
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| | 01 | ---R--- | 2:30P-3:50P | Brauer Hall / 012 | Bersi | No final | 130 | 42 | 0 | Desc: | All full-time MEMS graduate students must register for this course. |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Flores | Dec 16 2024 3:30PM - 5:30PM | 35 | 35 | 4 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | Bayly | No final | 30 | 17 | 0 | | |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Axelbaum | Dec 16 2024 3:30PM - 5:30PM | 20 | 10 | 0 | | |
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| Description: | Formulation of the basic concepts and equations governing a Newtonian, viscous, conducting, compressible fluid. Topics include: transport coefficients and the elements of kinetic theory of gases, vorticity, incompressible potential flow; singular solutions, flow over bodies and lifting surfaces, similarity methods, viscous flow, boundary layer, low Reynolds number flows, laminar and turbulent flows. |
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| Description: | Computational fluid dynamics relevant to engineering analysis and design. Topics include: fundamentals of finite-difference, finite-volume, and finite-element methods, numerical algorithms for parabolic, elliptic, and hyperbolic equations, convergence, stability, and consistency of numerical algorithms, application of numerical algorithms to selected model equations relevant to fluid flow, grid-generation techniques, and convergence acceleration schemes. Prerequisites: Senior or graduate standing or permission of the instructor. |
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| | 01 | M-W---- | 5:30P-7:00P | TBA | Cary | Dec 16 2024 6:00PM - 8:00PM | 25 | 9 | 0 | | |
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| | 01 | -T-R--- | 1:00P-2:20P | Rudolph / 203 | Meacham | Dec 17 2024 1:00PM - 3:00PM | 25 | 6 | 0 | | |
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| | 01 | M-W---- | 2:30P-3:50P | TBA | Weisensee | No final | 25 | 13 | 0 | | |
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| | 01 | -T-R--- | 2:30P-3:50P | TBA | Janis | Dec 18 2024 3:30PM - 5:30PM | 12 | 12 | 3 | | |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | Agarwal | Dec 18 2024 6:00PM - 8:00PM | 30 | 10 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | TBA | [TBA] | Dec 13 2024 6:00PM - 8:00PM | 30 | 8 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Pathak | Default - none | 25 | 14 | 0 | | |
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| Description: | Engineering Mechanobiology is a new paradigm for understanding and manipulating the biological function of plants, animals, and their cells. Mechanical force has emerged as a critical component of all biological systems, providing mechanisms to sculpt plants and animals during morphogenesis, to enable cell migration, polarization, proliferation, and differentiation in response to physical changes in the environment, and to modulate the function of single molecules. This course provides a foundation for understanding these factors across plant and animal cells. The course begins with an introduction to plant and animal cell biology and principles of signaling, then progresses to an overview of the cell wall and ECM and an introduction to the mechanics and statistical mechanics of solid, viscoelastic, and fibrous continua. The course then focuses on the questions of how do cells feel, how do cells converse with the ECM and wall, and how do cells remember? Knowledge of undergraduate calculus and physics is expected. |
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| | 01 | -T-R--- | 10:00A-11:20A | TBA | Genin | No final | 30 | 30 | 25 | | |
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| Description: | Analysis and mechanics of composite materials. Topics include micromechanics, laminated plate theory, hydrothermal behavior, creep, strength, failure modes, fracture toughness, fatigue, structural response, mechanics of processing, nondestructive evaluation, and test methods. Prerequisite: Permission of the instructor. |
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| | 01 | -T----- | 5:30P-8:30P | TBA | Renieri | No final | 35 | 35 | 18 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | Topics covered in this course are: the concept of long-chain or macromolecules, polymer chain structure and configuration, microstructure and mechanical (rheological) behavior, polymer phase transitions (glass transition, melting, crystallization), physical chemistry of polymer solutions (Flory-Huggins theory, solubility parameter, thermodynamics of mixing and phase separation), polymer surfaces and interfaces, overview of polymer processing (extrusion, injection molding, film formation, fiber spinning) and modern applications of synthetic and bio-polymers . |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Singamaneni | Dec 17 2024 6:00PM - 8:00PM | 25 | 6 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:20P | McDonnell / 362 | Holland | Dec 13 2024 6:00PM - 8:00PM | 30 | 6 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T-R--- | 4:00P-5:20P | TBA | Guan | Dec 18 2024 6:00PM - 8:00PM | 25 | 1 | 0 | | |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Bae | Default - none | 25 | 10 | 0 | | |
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| | 01 | M-W---- | 10:00A-11:20A | TBA | Mishra | Dec 16 2024 10:30AM - 12:30PM | 25 | 3 | 0 | | |
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| | 01 | -T-R--- | 5:30P-7:00P | TBA | Jackson | Dec 17 2024 6:00PM - 8:00PM | 40 | 36 | 0 | | |
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| | 03 | TBA | | TBA | Axelbaum | No final | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Singamaneni | No final | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Mishra | No final | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Agarwal | No final | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Flores | No final | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Weisensee | No final | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Peters | No final | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Colonna | No final | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Pathak | No final | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Jakiela | No final | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Wagenseil | No final | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Meacham | No final | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Harris | No final | 0 | 0 | 0 | | |
| 42 | TBA | | (None) / | Wang | No final | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Guilak | No final | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | No final | 0 | 0 | 0 | | |
| 49 | TBA | | TBA | McAlinden | No final | 0 | 0 | 0 | | |
| 50 | TBA | | (None) / | Silva | No final | 0 | 0 | 0 | | |
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| Description: | The Energy Analysis and Design Project is designed to provide mechanical engineering skills in energy applications, renewable energy, and technologies related to energy which can involve heat transfer, thermodynamics, and fluid mechanics. The project topic can be chosen by the student or can be developed by both the student and faculty sponsor. The subsequent research and analysis, conducted under the guidance and direction of the faculty sponsor, results in a final project report that is approved by the faculty sponsor. The course is normally completed over one or two semesters. Recent projects have included: Energy Modeling and Efficiency Improvements: A Comparison of TRACE 700 and eQuest, Analysis of Hydroelectric Power, Optimization of Residential Solar Thermal Heating in the United States, Analysis of Ocean Thermal Energy Conversion Systems, Laboratory Plug Load Analysis and Case Study, Modeling and Optimizing Hydronic Radiant Heating and Cooling Systems using Comsol Multiphysics, CFD Analysis in HVAC Applications, Energy Analysis of Waste Disposal Methods, CFD Analysis of Containment Solutions for Data Center Cooling, Energy Recovery Ventilation, Comparative Study of Green Building Rating Systems, Grid Energy Storage, Protection of Permafrost Under the Quinghai-Tibet Railway by Heat Pipe Technology, Investing in Residential Solar Photovoltaic Systems, How Piping Layout Effects Energy Usage, and Comparison of Building Energy Savings Between China and the United States. |
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| | 03 | TBA | | TBA | Axelbaum | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Singamaneni | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Agonafer | Default - none | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Pitt | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Agarwal | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Flores | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Renieri | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Kelton | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Weisensee | Default - none | 0 | 1 | 0 | | |
| 15 | TBA | | TBA | Peters | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Woodhams | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Sastry | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Bai | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Lake | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Pathak | Default - none | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Jakiela | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 24 | TBA | | TBA | Brandon | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Wagenseil | Default - none | 0 | 0 | 0 | | |
| 26 | TBA | | TBA | Bersi | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Sellers | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Okamoto | Default - none | 0 | 0 | 1 | | |
| 29 | TBA | | TBA | Setton | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Elson | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Li | Default - none | 0 | 1 | 0 | | |
| 32 | TBA | | TBA | Tang | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Williams | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Meacham | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Karunamoorthy | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Yin | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Harris | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Zayed | Default - none | 0 | 0 | 0 | | |
| 40 | TBA | | TBA | Thimsen | Default - none | 0 | 0 | 0 | | |
| 41 | TBA | | TBA | Yang | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Guilak | No final | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Guan | Default - none | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | Default - none | 0 | 0 | 0 | | |
| 47 | TBA | | TBA | Jha | Default - none | 0 | 0 | 0 | | |
| 51 | TBA | | TBA | Oyen | Default - none | 0 | 0 | 0 | | |
| 52 | TBA | | TBA | Kantaros | Default - none | 0 | 0 | 0 | | |
| 53 | TBA | | TBA | Jun | Default - none | 0 | 0 | 0 | | |
| 54 | TBA | | TBA | Weilbaecher | Default - none | 0 | 0 | 0 | | |
| 55 | TBA | | TBA | Henriksen | Default - none | 0 | 0 | 0 | | |
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| | 01 | TBA | | TBA | [TBA] | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Axelbaum | Default - none | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Singamaneni | Default - none | 2 | 0 | 0 | | |
| 06 | TBA | | TBA | Mishra | Default - none | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Stegh | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Agarwal | Default - none | 3 | 1 | 0 | | |
| 10 | TBA | | TBA | Bayly | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Flores | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | Kelton | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Weisensee | Default - none | 3 | 0 | 0 | | |
| 15 | TBA | | TBA | Peters | Default - none | 2 | 0 | 0 | | |
| 16 | TBA | | TBA | Woodhams | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Bai | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Lake | Default - none | 1 | 1 | 0 | | |
| 21 | TBA | | TBA | Pathak | Default - none | 1 | 0 | 0 | | |
| 22 | TBA | | TBA | Jakiela | Default - none | 0 | 0 | 0 | | |
| 23 | TBA | | TBA | Genin | Default - none | 0 | 0 | 0 | | |
| 25 | TBA | | TBA | Wagenseil | Default - none | 1 | 1 | 0 | | |
| 26 | TBA | | TBA | Bersi | Default - none | 2 | 0 | 0 | | |
| 27 | TBA | | TBA | Sellers | Default - none | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Okamoto | Default - none | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Elson | Default - none | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Li | Default - none | 3 | 0 | 0 | | |
| 32 | TBA | | TBA | Tang | Default - none | 1 | 0 | 0 | | |
| 33 | TBA | | TBA | Williams | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Meacham | Default - none | 1 | 0 | 0 | | |
| 35 | TBA | | TBA | Karunamoorthy | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Yin | Default - none | 0 | 0 | 0 | | |
| 37 | TBA | | TBA | Harris | Default - none | 0 | 0 | 0 | | |
| 38 | TBA | | TBA | Chen | Default - none | 0 | 0 | 0 | | |
| 39 | TBA | | TBA | Zayed | Default - none | 0 | 0 | 0 | | |
| 42 | TBA | | (None) / | Wang | Default - none | 0 | 0 | 0 | | |
| 43 | TBA | | TBA | Guilak | Default - none | 0 | 0 | 0 | | |
| 44 | TBA | | TBA | Vahey | Default - none | 0 | 0 | 0 | | |
| 45 | TBA | | TBA | Guan | Default - none | 0 | 0 | 0 | | |
| 46 | TBA | | TBA | Huebsch | Default - none | 1 | 0 | 0 | | |
| 48 | TBA | | TBA | Bae | Default - none | 0 | 0 | 0 | | |
| 50 | TBA | | (None) / | Silva | No final | 1 | 0 | 0 | | |
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