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ELECTRICAL AND SYSTEMS ENGINEERING (E35)  (Dept. Info) Engineering and Applied Science  (Policies) SP2025 E35 ESE 2001 Experience Research in ESE 1.0 Unit Details Save  Cancel   My Note:   Description: This course provides students with an initial exposure to research in ESE. This is a mentored experience and requires the agreement of an ESE faculty member to serve in a mentorship role. Students must identify a mentor and obtain their agreement before registering for this course. Activities are to be designed by the student in conjunction with the faculty mentor, and will amount to 2-4 hours of commitment per week. Examples of such activities include, but are not limited to, observation of laboratory experiments, attendance of weekly group meetings, discussions with the mentor, or independent readings. The course is suitable for students at all levels. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: P Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA TBA Ching Default - none 0 0 0 Desc: To register for this course, please complete the ESE 2001 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 02 TBA TBA Feher Default - none 0 2 0 Desc: To register for this course, please complete the ESE 2001 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 03 TBA TBA Kantaros Default - none 0 1 0 Desc: To register for this course, please complete the ESE 2001 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. E35 ESE 205 Introduction to Engineering Design 3.0 Units Lab Required Details Save  Cancel   My Note:   Description: A hands-on course where students, in groups, will investigate how to collect, filter and analyze the data for a system. The sampling, quantization, and corruption of the data in the real system will be used to develop models that can then be applied as feedback for control. The tools required for programming, assembling, documenting and debugging the system will be developed. The later portion of the course will involve applying the skills learned to a comprehensive project, such as controlling an autonomous drone. The course will consist of one weekly lecture and a weekly lab component. Prerequisite Course: CSE131 Corequisite Course(s): ESE 105, Phy192 Attributes: EN: TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M------ 2:30P-3:50P Whitaker / 100 Vaughan No Final 50 49 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. A ----F-- 10:00A-11:50A Urbauer / 214 Vaughan Default - none 26 24 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. B ----F-- 1:00P-2:50P Urbauer / 214 Vaughan Default - none 26 23 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. C ----F-- 3:00P-4:50P Urbauer / 214 Vaughan Default - none 26 2 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. D -TW---- 6:30P-8:30P Urbauer / 214 Vaughan Default - none 0 0 0 Desc: This is an optional discussion section being held on Tuesdays and Wednesdays. Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. Waits Not Allowed E35 ESE 217 Differential Equations and Dynamical Systems Modeling in Engineering 3.0 Units Details Save  Cancel   My Note:   Description: This course will provide students with an introduction to differential equations in the context of electrical and systems engineering. Students will gain a foundation in the use of differential equations to describe, model and engineer systems and devices. The course will cover fundamental mathematical principles of ordinary differential equations including: (i) existence of solutions, (ii) elementary solution strategies, and (iii) the conceptual foundation for frequency domain solution techniques. An introduction to early concepts in dynamical systems theory, such as state-space analysis, equilibria and stability, will also be provided. Finally, students will obtain an initial introduction to partial differential equations in ESE in the context of wave propagation. Mathematical developments will be closely accompanied by computational implementations and numerical simulations. Further, students will engage several case studies, in which students will use the mathematical theory to perform analysis and design within ESE contexts spanning systems, circuits and applied physics. Prerequisites: ESE 105 Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 4:00P-5:20P Hillman / 60 Wormleighton No Final 30 30 9 Actions: Books E35 ESE 2190 Vector Calculus and Dynamics of Physical Systems 3.0 Units Details Save  Cancel   My Note:   Description: This course will explore fundamental concepts in vector calculus and partial differential equations with a focus on their practical applications and conceptual understanding. We will derive the Laplace, diffusion, and wave equations and explore their solutions in different coordinate systems. The course will emphasize computational solutions and data visualization in case studies involving applications to areas such as electrostatics, heat conduction in solids , transmission lines, antennas, and wave propagation, providing hands-on experience in solving partial differential equations in real-world scenarios. Prerequisites: ESE 217 or Math 217, and ESE 2180, or permission of the instructor Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 11:30A-12:50P Simon / 017 Nussinov Paper/Project/Take Home 50 50 3 Actions: Books E35 ESE 232 Introduction to Electronic Circuits 3.0 Units Details Save  Cancel   My Note:   Description: Analysis and design of linear and nonlinear electronic circuits. Detailed analysis of operational amplifier circuits, including non-ideal characteristics. Terminal characteristics of active semiconductor devices. Incremental and DC models for diodes, metal-oxide-semiconductor field effect transistors (MOSFETs), and bipolar junction transistors (BJTs). Design and analysis of single- and multi-stage amplifiers. Introduction to CMOS logic as well as static and dynamic memory circuits. Students will be required to design, analyze, build and demonstrate several of the circuits studied, including frequency response analysis and use of simulation tools. Prerequisite: ESE 230. Attributes: EN: TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 11:30A-12:50P Brown / 118 Wang May 6 2025 10:30AM - 12:30PM 75 75 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 260 Introduction to Digital Logic and Computer Design 3.0 Units Details Save  Cancel   My Note:   Description: Introduction to design methods for digital logic and fundamentals of computer architecture. Boolean algebra and logic minimization techniques; sources of delay in combinational circuits and effect on circuit performance; survey of common combinational circuit components; sequential circuit design and analysis; timing analysis of sequential circuits; use of computer-aided design tools for digital logic design (schematic capture, hardware description languages, simulation); design of simple processors and memory subsystems; program execution in simple processors; basic techniques for enhancing processor performance; configurable logic devices. Prerequisites: CSE 131 Attributes: EN: TU Instruction Type: Classroom instruction Grade Options: CP Fees: Course Type: Ident Same As: E81 260M  E81 505N Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 ---R--- 2:30P-3:50P Hillman / 60 Hall, Siever No Final 0 102 4 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 Actions: Books Waits managed by dept. A -T----- 2:30P-3:50P Hillman / 60 Hall, Siever Default - none 0 67 4 Actions: Books Waits managed by dept. B -T----- 2:30P-3:50P Hillman / 60 Hall, Siever Default - none 0 35 0 Actions: Books Waits managed by dept. E35 ESE 2971 Introduction to Research in ESE 2.0 Units Details Save  Cancel   My Note:   Description: This course provides students with an introductory experience with research in ESE. This is a mentored experience and requires the agreement of an ESE faculty member to serve in a mentorship role. Students must identify a mentor and obtain their agreement before registering for this course. Activities are to be designed by the student in conjunction with the faculty mentor, and will amount to 4-6 hours of commitment per week. The research activities will enable the student to gain a deeper understanding of ongoing research related to the mentor's field, or in an area mutually agreed upon by the mentor and the student. The student may also have an opportunity to actively participate in ongoing research activities, such as through assistance of graduate students or postdoctoral associates. Because activities may be unstructured, this course is will require strong time-management skills and self-discipline. The final grade will be determined on the basis of a set of deliverables that are agreed upon by the student and faculty member. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: CP Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA TBA Clark Default - none 0 0 0 Desc: To register for this course, please complete the ESE 2971 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 02 TBA TBA Yang Default - none 0 1 0 Desc: To register for this course, please complete the ESE 2971 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. E35 ESE 318 Engineering Mathematics A 3.0 Units Details Save  Cancel   My Note:   Description: Laplace transforms; matrix algebra; vector analysis; eigenvalues and eigenvectors; vector differential calculus and vector integral calculus in three dimensions. Prerequisites: Math 233 and Math 217 or their equivalents. Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 11:30A-12:50P Green Hall / L0120 Zhu May 6 2025 10:30AM - 12:30PM 20 13 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. 02 -T-R--- 10:00A-11:20A Whitaker / 100 Brennan May 6 2025 6:00PM - 8:00PM 45 46 4 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 319 Engineering Mathematics B 3.0 Units Details Save  Cancel   My Note:   Description: Power series and Frobenius series solutions of differential equations; Legendre's equation; Bessel's equation; Fourier series and Fourier transforms; Sturm-Liouville theory; solutions of partial differential equations; wave and heat equations. Prerequisites: Math 233 and Math 217 or their equivalents. Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 10:00A-11:20A Wrighton / 250 Hasting May 6 2025 6:00PM - 8:00PM 40 38 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. 02 -T-R--- 11:30A-12:50P Whitaker / 100 Brennan May 5 2025 1:00PM - 3:00PM 85 91 5 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 326 Probability and Statistics for Engineering 3.0 Units Details Save  Cancel   My Note:   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. Attributes: EN: TU 1.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Every Semester / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 10:00A-11:20A Brauer Hall / 012 Zhang May 6 2025 6:00PM - 8:00PM 75 75 7 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 3301 Electromagnetics Laboratory: Spectrum from Radio to Photonics 3.0 Units Lab Required Details Save  Cancel   My Note:   Description: Engineering electromagnetics focuses on applying electromagnetic theory to modern technologies including communication, sensing, imaging and medical engineering. This laboratory course provides students with hands-on and practical exposure to the topics covering the electromagnetic spectrum from microwave to optics. Weekly labs will cover topics such as the following: microwave propagation and coupling, transmission line, antenna, RF circuits, basic optoelectronic devices, Fourier optics, light microscopy, holography, light polarization, electro-optics and fiber optics. Students are expected to carry out tests and measurements; analyze, interpret and present experiment data; learn how to perform engineering analysis and design when electromagnetic principles are applied; and gain in-depth understanding of the physics and mathematics underlying the techniques. Corequisite: E35 ESE 330, E35 ESE 351 Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T----- 10:00A-11:20A Urbauer / 208 Wang No Final 18 19 0 Actions: Books A ---R--- 10:00A-12:50P Urbauer / 208 Wang No Final 25 19 0 Actions: Books E35 ESE 332 Power, Energy, and Polyphase Circuits 3.0 Units Details Save  Cancel   My Note:   Description: Fundamental concepts of power and energy; electrical measurements; physical and electrical arrangement of electrical power systems; polyphase circuit theory and calculations; principal elements of electrical systems such as transformers, rotating machines, control, and protective devices, their description and characteristics; elements of industrial power system design. Prerequisite: ESE 230. Attributes: EN: BME T2, TU 3.00 Instruction Type: Online Course Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA Remote / EN Abdelkamel No Final 15 15 8 Actions: Books E35 ESE 351 Signals and Systems 3.0 Units Details Save  Cancel   My Note:   Description: Introduction to concepts and methodology of discrete- and continuous-time signals in relation to linear dynamic systems. Representation of signals and systems. Fourier, Laplace, and Z-transforms. Input-output description of linear systems: impulse response, convolution, transfer function. Time-domain and frequency-domain system analysis: transient and steady-state responses, stability, frequency spectra and frequency responses. Matlab-based case studies highlight the role of this material in key ESE areas of signal processing, control systems, and communication. Prerequisites: Physics 117A-118A, Math 217, CSE 131, Matlab, matrix addition and multiplication, and ESE 105 or ESE 230; Corequisite: ESE 318. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Annually / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 1:00P-2:20P Lopata Hall / 101 Kamilov May 6 2025 1:00PM - 3:00PM 70 70 17 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 400 Independent Study Var. Units (max = 3.0) Details Save  Cancel   My Note:   Description: Opportunities to acquire experience outside the classroom setting and to work closely with individual members of the faculty. A final report must be submitted to the department. Not open to first-year or graduate students. Consult adviser. Hours and credit to be arranged. In order to register for this course, please fill out the ESE Research/Independent Study Registration Form approved by the department. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA TBA Feher Default - none 0 0 0 Desc: To register for this course, please complete the ESE 400 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 03 TBA TBA Ching Default - none 0 0 1 Actions: Books Waits managed by dept. 04 TBA TBA Zeng Default - none 0 0 0 Actions: Books Waits managed by dept. 05 TBA TBA Chen Default - none 0 0 0 Actions: Books Waits managed by dept. 06 TBA TBA Zhang, Silvia Default - none 0 0 0 Actions: Books Waits managed by dept. 07 TBA TBA Lew Default - none 0 0 0 Actions: Books Waits managed by dept. 08 TBA TBA Chakrabartty Default - none 0 0 0 Actions: Books Waits managed by dept. 09 TBA TBA [TBA] Default - none 0 0 0 Actions: Books Waits managed by dept. 10 TBA TBA Min Default - none 0 0 0 Actions: Books Waits managed by dept. 11 TBA TBA Nussinov Default - none 0 0 0 Actions: Books Waits managed by dept. 13 TBA TBA O'Sullivan Default - none 0 0 0 Actions: Books Waits managed by dept. 19 TBA TBA Clark Default - none 0 0 0 Actions: Books Waits managed by dept. 21 TBA TBA Lawrence Default - none 0 0 0 Actions: Books Waits managed by dept. 22 TBA TBA Trobaugh Default - none 0 0 0 Actions: Books Waits managed by dept. 27 TBA TBA Nehorai Default - none 0 0 0 Actions: Books Waits managed by dept. 28 TBA TBA Yang Default - none 0 0 0 Actions: Books Waits managed by dept. 29 TBA TBA Li Default - none 0 0 0 Actions: Books Waits managed by dept. 30 TBA TBA Shen Default - none 0 0 0 Actions: Books Waits managed by dept. 32 TBA TBA Kurenok Default - none 0 0 0 Actions: Books Waits managed by dept. 34 TBA TBA Mell Default - none 0 0 0 Actions: Books Waits managed by dept. 36 TBA TBA Kamilov Default - none 0 0 0 Actions: Books Waits managed by dept. 37 TBA TBA Bhan Default - none 0 0 0 Actions: Books Waits managed by dept. E35 ESE 401 Fundamentals of Engineering Review 1.0 Unit Details Save  Cancel   My Note:   Description: A review and preparation of the most recent NCEES Fundamentals of Engineering (FE) Exam specifications is offered in a classroom setting. Exam strategies will be illustrated using examples. The main topics for the review include: engineering mathematics, statics, dynamics, thermodynamics, heat transfer, mechanical design and analysis, material science and engineering economics. A discussion of the importance and responsibilities of professional engineering licensure along with Ethics will be included. Attributes: Instruction Type: Classroom instruction Grade Options: P Fees: Course Type: Ident Same As: E37 4001 Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 --W---- 8:00P-10:00P Lopata Hall / 101 Becnel Exam Last Day of Class 30 23 0 Actions: Books E35 ESE 415 Optimization 3.0 Units Details Save  Cancel   My Note:   Description: Optimization problems with and without constraints. The projection theorem. Notions of convexity. Lagrange multipliers and Kuhn-Tucker-type conditions. Duality. Computational methods. Applications of optimization in engineering. Prerequisites: Solid understanding of multivariable calculus notions, including gradients. Solid understanding of linear algebraic concepts, including eigen decomposition (eigenvalues & eigenvectors), matrix algebraic operations, and properties of symmetric matrices. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 10:00A-11:20A Whitaker / 100 Wormleighton No Final 80 88 44 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 417 Introduction to Machine Learning and Pattern Classification 3.0 Units Details Save  Cancel   My Note:   Description: This course provides a broad introduction to machine learning and statistical pattern classification. Students will study theoretical foundations of learning and several important supervised and unsupervised machine learning methods and algorithms including linear model of regression and classification, logistic regression, Bayesian learning methods, neural networks, nearest neighbor method, support vector machines methods, clustering methods and principal component analysis. Students will also learn to use Python programming language to implement learned models and methods to solve pattern classification problems. Pre-requisites: ESE326, Math 233, Python Programming Experience Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 4:00P-5:20P Hillman / 60 Zhang May 2 2025 6:00PM - 8:00PM 110 111 26 Actions: Books E35 ESE 4261 Statistical Methods for Data Analysis with Applications to Financial Engineering 3.0 Units Details Save  Cancel   My Note:   Description: Introduction to modern methods of statistical data analysis. Data will be used primarily from the financial industry. The course is both computational and mathematical in nature. Most facts will be stated in a rigorous manner, motivated by applications and justified at an intuitive level, but usually not proven rigorously. Emphasis will be on the relevance of concepts and the practical use of tools. A broad range of topics will be covered, including some standard techniques of univariate and multivariate data analysis (histograms, kernel density estimators, Q-Q plots), Monte Carlo simulations and calculations, analysis of heavy tailed data, use of copulas, various parametric and non-parametric regression models, both local and nonlocal, as well as analysis of time series data and Kalman filtering. Methods will be demonstrated on numerous concrete examples, with extensive use of the programming language R. Prerequisite: ESE 326 Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 1:00P-2:20P Jubel / 121 Kurenok No Final 60 60 3 Actions: Books E35 ESE 431 Introduction to Quantum Electronics 3.0 Units Details Save  Cancel   My Note:   Description: Describing the flow of electrical current in nanodevices involves a lot more than just quantum mechanics; it requires an appreciation of some of the most advanced concepts of non-equilibrium statistical mechanics. In the past decades, electronic devices have been shrinking steadily to nanometer dimensions, and quantum transport has accordingly become increasingly important not only to physicists but also to electrical engineers. Traditionally, these topics are spread out over many physics/chemistry/engineering courses that take many semesters to cover. The main goal of this course is to condense the essential concepts into a one-semester course that is accessible to both senior-level undergraduate and junior-level graduate students. This course will be accessible to students with diverse backgrounds in electrical engineering, physics, chemistry, biomedical engineering, and mathematics. Prerequisites: Math 217 or ESE 217, and ESE 105 or ESE 2180 or Math 309, and scientific computing ability, e.g., Matlab or Mathematica, or permission of instructor. Attributes: Art: NSMEN: TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Spring / Summer / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 1:00P-2:20P Whitaker / 218 Shen No Final 35 35 6 Actions: Books E35 ESE 435 Electrical Energy Laboratory 3.0 Units Lab Required Details Save  Cancel   My Note:   Description: Experimental studies of principles important in modern electrical energy systems. Topics include: AC power measurements, electric lighting, photovoltaic cells and arrays, batteries, DC-DC and DC-AC converters, brushed and brushless DC motors and three-phase circuits. Each experiment requires analysis, simulation with MultiSim, and measurement via LabVIEW and the Elvis II platform. Prerequisites: ESE 230 and 351 Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 ---R--- 5:30P-7:00P Urbauer / 115 Rauschenbach May 1 2025 6:00PM - 8:00PM 6 6 0 Actions: Books Waits Not Allowed A ---R--- 7:00P-10:00P Urbauer / 115 Rauschenbach No Final 6 6 0 Actions: Books Waits Not Allowed E35 ESE 4361 Semiconductor Fabrication Lab 3.0 Units Details Save  Cancel   My Note:   Description: This course provides a comprehensive, hands-on introduction to semiconductor processing, focusing on the design, layout, fabrication, and testing of semiconductor devices from start to finish. Throughout the semester, students will learn key techniques and principles in semiconductor device fabrication, including wafer preparation, thermal oxidation, photolithography, doping (activation and diffusion), deposition (CVD, PVD, and ALD), etching (wet and dry), annealing, passivation, and chemical mechanical polishing (CMP). The course highlights the critical role of plasma physics and chemistry in modern semiconductor manufacturing, covering topics such as reactive ion etching (RIE) and plasma-enhanced chemical vapor deposition (PECVD). In addition, students will gain hands-on experience with industry-standard simulation tools used in semiconductor design and analysis. Through a combination of lectures and weekly lab sessions, students will acquire practical experience in cleanroom environments, mastering the tools and processes required to create functional semiconductor devices. The course culminates in final presentations, where students will share their results and analysis. Corequisites: ESE 436 or Physics 472. Prerequisites: ESE 232 or equivalent, ESE 2180 and 2190 or equivalent. Attributes: Instruction Type: Classroom instruction Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T----- 2:30P-3:50P Life Sciences / 118 Nussinov No Final 0 4 2 Actions: Books Waits managed by dept. A ---R--- 2:30P-5:20P Rudolph / L78 Nussinov No Final 0 0 0 Actions: Books Waits managed by dept. E35 ESE 437 Sustainable Energy Systems 3.0 Units Details Save  Cancel   My Note:   Description: We will survey the field of sustainable energy and explore contributions within electrical and systems engineering. Topics include introductory electric power systems, smart grids, and the roles of heat engines, photovoltaics, wind power, and energy storage, as well as analysis and optimization of energy systems. The course will include review and discussion of literature, problem sets, exams, and student projects. Prerequisites: ESE 318 or 319 and ESE 230 or ESE 351 or permission of instructor. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M------ 6:00P-9:00P Cupples I / 115 Mpembele May 5 2025 6:00PM - 9:00PM 35 12 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 446 Robotics: Dynamics and Control 3.0 Units Details Save  Cancel   My Note:   Description: Homogeneous coordinates and transformation matrices. Kinematic equations and the inverse kinematic solutions for manipulators, the manipulator Jacobian and the inverse Jacobian. General model for robot arm dynamics, complete dynamic coefficients for six-link manipulator. Synthesis of manipulation control, motion trajectories, control of single- and multiple-link manipulators, linear optimal regulator. Model reference adaptive control, feedback control law for the perturbation equations along a desired motion trajectory. Design of the control system for robotics. Prerequisites: ESE 351 or MEMS 4310, knowledge of a programming language. Corequisite: ESE 441 or MEMS 4301 Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 2:30P-3:50P Green Hall / 1157 Mell May 7 2025 3:30PM - 5:30PM 55 36 0 Actions: Books E35 ESE 4480 Control Systems Design Laboratory 3.0 Units Details Save  Cancel   My Note:   Description: This course involves the experimental study of real and simulated systems and their control. Topics covered will include modeling; identification; model validation and control of systems, including noise effects, using a two-link robotic manipulator as an experimental testbed; mathematical modeling of robotic systems; nonlinear and linearized models; input-output and state-space techniques; model validation and simulation; and stabilization using linear and nonlinear control techniques. Prerequisite: ESE 351 or MEMS 4310. Corequisite or prerequisite: ESE 441 or MEMS 4301 Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 11:00A-12:50P Green Hall / 1157 Mell No Final 24 14 0 Actions: Books E35 ESE 4481 Autonomous Aerial Vehicle Control Laboratory 3.0 Units Details Save  Cancel   My Note:   Description: This course covers the 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 -- to command their UAVs to hover, climb, and orbit. In addition to principles of estimation and identification, students will 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. Prerequisites: ESE 441 and knowledge of a programming language, or permission of instructor. Attributes: EN: BME T2, TU 3.00 Instruction Type: Online Hybrid Course Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 6:00P-8:00P Remote / EN Bhan No Final 24 21 0 Actions: Books E35 ESE 4482 Design Challenges in ESE: Modeling and Controlling Human Movement and Choices 3.0 Units Details Save  Cancel   My Note:   Description: The goal of this design-based course is for students to design a system that predicts a human user's motion in a motion capture environment while also influencing their decision-making when presented with multiple choices. The goal is to predict the user's future movement, influence their choice of direction or path, and maximize an objective such as rewards or task completion efficiency. Students will work in teams to complete the task, culminating in a report and presentation. The course is structured as a competition, with a scoring criteria provided as a design specification. Optional co-requisites: ESE 4031, ESE 441 Prerequisite: ESE 326, ESE 351 Attributes: Instruction Type: Classroom instruction Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 9:00A-11:00A Green Hall / L0160 Ching, Zeng May 6 2025 6:00PM - 8:00PM 0 0 10 Actions: Books Waits managed by dept. E35 ESE 449 Digital Process Control Laboratory 3.0 Units Details Save  Cancel   My Note:   Description: Applications of digital control principles to laboratory experiments supported by a networked distributed control system. Lecture material reviews background of real-time programming, data acquisition, process dynamics, and process control. Exercises in data acquisition and feedback control design using simple and advanced control strategies. Experiments in flow, liquid level, temperature, and pressure control. Term project. Prerequisite: E35 ESE 441 or E44 EECE 401 or permission of instructor Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Ident Same As: E44 424 Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M------ 12:00P-12:50P Simon / 020 Silbaugh May 6 2025 10:30AM - 12:30PM 24 15 0 Actions: Books A --W---- 9:00A-11:50A Brauer Hall / 007 Silbaugh Default - none 12 7 0 Desc: Labs are held in Brauer 7. Actions: Books Waits Not Allowed B --W---- 1:00P-3:50P Brauer Hall / 007 Silbaugh Default - none 12 8 0 Desc: Labs are held in Brauer 7. Actions: Books Waits Not Allowed E35 ESE 462 Computer Systems Design 3.0 Units Details Save  Cancel   My Note:   Description: Introduction to modern design practices, including FPGA and PCB design methodologies. Student teams use Xilinx Vivado for HDL-based FPGA design and simulation and do schematic capture, PCB layout, fabrication, and testing of the hardware portion of a selected computation system. The software portion of the project uses Microsoft Visual Studio to develop a user interface and any additional support software required to demonstrate final projects to the faculty during finals week. Prerequisites: ESE 232, CSE 361S, and 362M from Washington University in St. Louis (or permission of instructor). Lab Fee: $200 There will be no text: We will supply each student with some electronics for their semester project instead. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CP Fees: Course Type: Ident Same As: E81 462M Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 1:00P-2:20P Urbauer / 115 Hall No Final 0 14 1 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 Actions: Books Waits managed by dept. E35 ESE 463 Digital Integrated Circuit Design and Architecture 3.0 Units Details Save  Cancel   My Note:   Description: This is a project-oriented course on digital VLSI design. The course material focuses on bottom-up design of digital integrated circuits, starting from CMOS transistors, CMOS inverters, combinational circuits and sequential logic designs. Important design aspect of digital integrated circuits such as propagation delay, noise margins and power dissipation are covered in the class, as well as design challenges in sub-micron technology are addressed. The students design combinational and sequential circuits at various levels of abstraction using state-of-the-art CAD environment provided by Cadence Design Systems. The goal of the class is to design a complete IC chip in 0.5 micron technology that will be fabricated by a semiconductor foundry. Prerequisites: CSE 260M and ESE 232. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CP Fees: Course Type: Ident Same As: E81 463M  E81 563M Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 5:30P-7:00P Crow / 205 Ivanovich No Final 30 30 10 Actions: Books E35 ESE 488 Signals and Imaging Laboratory 3.0 Units Details Save  Cancel   My Note:   Description: Hands-on design and analysis that motivates ESE research and courses in signals, communications and imaging. Projects in digital audio signal processing, communication systems, and computational imaging and inverse problems in optics. Prerequisite: ESE 351. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Annually / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 2:30P-3:50P Urbauer / 208 Trobaugh, Lew No Final 15 3 0 Actions: Books E35 ESE 497 Undergraduate Research Var. Units (max = 3.0) Details Save  Cancel   My Note:   Description: Undergraduate research under the supervision of a faculty member. A written final report and a Web page describing the research are required. In order to register for this course, please fill out the ESE Research/Independent Study Registration Form. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: Every Semester / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA (None) / Lawrence No Final 0 0 0 Desc: To register for this course, please complete the ESE 497 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 03 TBA TBA Ching Default - none 0 0 0 Actions: Books Waits managed by dept. 04 TBA TBA Patwari Default - none 0 0 0 Actions: Books Waits managed by dept. 05 TBA TBA Richter Default - none 0 0 0 Actions: Books Waits managed by dept. 06 TBA TBA Hu Default - none 0 0 0 Actions: Books Waits managed by dept. 07 TBA TBA Lew Default - none 0 0 0 Actions: Books Waits managed by dept. 08 TBA TBA Chakrabartty Default - none 0 0 0 Actions: Books Waits managed by dept. 10 TBA TBA Sinopoli Default - none 0 0 0 Actions: Books Waits managed by dept. 11 TBA TBA Zeng Default - none 0 0 0 Actions: Books Waits managed by dept. 13 TBA TBA O'Sullivan Default - none 0 0 0 Actions: Books Waits managed by dept. 14 TBA (None) / Zhou No Final 0 0 0 Actions: Books Waits managed by dept. 15 TBA (None) / Chamberlain No Final 0 0 0 Actions: Books Waits managed by dept. 21 TBA TBA Kantaros Default - none 0 0 0 Actions: Books Waits managed by dept. 22 TBA TBA Trobaugh Default - none 0 0 0 Actions: Books Waits managed by dept. 27 TBA TBA Nehorai Default - none 0 0 0 Actions: Books Waits managed by dept. 28 TBA TBA Yang Default - none 0 0 0 Actions: Books Waits managed by dept. 29 TBA TBA Li Default - none 0 0 0 Actions: Books Waits managed by dept. 30 TBA TBA Shen Default - none 0 0 0 Actions: Books Waits managed by dept. 32 TBA TBA Kurenok Default - none 0 0 0 Actions: Books Waits managed by dept. 34 TBA TBA Mell Default - none 0 0 0 Actions: Books Waits managed by dept. 36 TBA TBA Kamilov Default - none 0 0 0 Actions: Books Waits managed by dept. 37 TBA TBA Murch Default - none 0 0 0 Actions: Books Waits managed by dept. 38 TBA TBA Feher Default - none 0 0 0 Actions: Books Waits managed by dept. E35 ESE 4971 Honors Thesis Research 4.0 Units Details Save  Cancel   My Note:   Description: This is the premier research experience for students in ESE, offering a challenging but rewarding opportunity for committed students to work at the cutting edge of engineering research. This is a mentored experience and requires the agreement of an ESE faculty member to serve in a mentorship role. To register for this course, students must obtain the nomination of two faculty members, including their proposed mentor. Nomination must reflect strong academic preparation, interest in research and ability to manage time and work independently. During this course, students will work within their mentor's research group or laboratory to pursue one or more specific research aims. Research is expected to result in a podium presentation and a thesis document that will be archived. Students completing honors thesis will participate in a departmental recognition event. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: Every Semester / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA TBA Wang No Final 0 0 0 Desc: To register for this course, please complete the ESE 4971 form on the ESE Undergraduate Research webpage: https://ese.wustl.edu/academics/undergraduate-programs/undergraduate-research.html Actions: Books Waits managed by dept. 02 TBA TBA Shen No Final 0 0 0 Actions: Books Waits managed by dept. E35 ESE 498 Electrical Engineering Capstone Design Projects 3.0 Units Details Save  Cancel   My Note:   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. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 ----F-- 2:00P-3:50P Urbauer / 115 Wang, Dorothy, Trobaugh, Lew No Final 0 18 12 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. Waits managed by dept. E35 ESE 499 Systems Science and Engineering Capstone Design Project 3.0 Units Details Save  Cancel   My Note:   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. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Every Semester / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 ----F-- 2:00P-3:50P Urbauer / 115 Wang, Trobaugh, Lew No Final 0 4 3 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. Waits managed by dept. E35 ESE 500 Independent Study Var. Units (max = 3.0) Details Save  Cancel   My Note:   Description: Opportunities to acquire experience outside the classroom setting and to work closely with individual members of the faculty. A final report must be submitted to the department. Prerequisite: Students must have the ESE Research/Independent Study Registration Form approved by the department. Attributes: Instruction Type: Independent study, tutorial, or other Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA (None) / Clark No Final 0 0 0 Actions: Books Waits managed by dept. 02 TBA (None) / Feher Default - none 0 2 0 Actions: Books Waits managed by dept. 03 TBA TBA Ching Default - none 0 0 0 Actions: Books Waits managed by dept. 04 TBA TBA Jha Default - none 0 0 0 Actions: Books Waits managed by dept. 07 TBA TBA Lew Default - none 0 0 0 Actions: Books Waits managed by dept. 08 TBA TBA Chakrabartty Default - none 0 1 0 Actions: Books Waits managed by dept. 09 TBA TBA Wang, Dorothy Default - none 0 0 0 Actions: Books Waits managed by dept. 11 TBA TBA Nagulu Default - none 0 0 0 Actions: Books Waits managed by dept. 13 TBA TBA O'Sullivan Default - none 0 0 0 Actions: Books Waits managed by dept. 28 TBA TBA Yang Default - none 0 0 0 Actions: Books Waits managed by dept. 29 TBA TBA Li Default - none 0 1 1 Actions: Books Waits managed by dept. 30 TBA TBA Shen Default - none 0 0 0 Actions: Books Waits managed by dept. 32 TBA TBA Kurenok Default - none 0 0 1 Actions: Books Waits managed by dept. 34 TBA TBA Mell Default - none 0 0 0 Actions: Books Waits managed by dept. 36 TBA TBA Kamilov Default - none 0 0 0 Actions: Books Waits managed by dept. 37 TBA TBA Zeng Default - none 0 0 0 Actions: Books Waits managed by dept. 38 TBA TBA Zhou Default - none 0 0 0 Actions: Books Waits managed by dept. 39 TBA TBA Villa Default - none 0 0 0 Actions: Books Waits managed by dept. 40 TBA TBA Zhou Default - none 0 0 0 Actions: Books Waits managed by dept. 41 TBA TBA Murch Default - none 0 0 0 Actions: Books Waits managed by dept. 42 TBA TBA Sinopoli Default - none 0 0 0 Actions: Books Waits managed by dept. 43 TBA TBA Lu Default - none 0 0 0 Actions: Books Waits managed by dept. 44 TBA TBA Chen Default - none 0 0 0 Actions: Books Waits managed by dept. E35 ESE 502 Mathematics of Modern Engineering II 3.0 Units Details Save  Cancel   My Note:   Description: Fourier series and Fourier integral transforms and their applications to solving some partial differential equations, heat and wave equations; Complex analysis and its applications to solving real-valued problems: analytic functions and their role, Laurent series representation, complex-valued line integrals and their evaluation including the residual integration theory, conformal mappings and their applications. Prerequisite: ESE 318 and ESE 319 or ESE 317 or equivalent, or consent of instructor. This course will not count toward the ESE doctoral program. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 4:00P-5:20P Cupples I / 115 Kurenok No Final 50 17 0 Actions: Books E35 ESE 520 Probability and Stochastic Processes 3.0 Units Details Save  Cancel   My Note:   Description: Review of probability theory, models for random signals and noise, calculus of random processes, noise in linear and nonlinear systems, representation of random signals by sampling and orthonormal expansions. Poisson, Gaussian, and Markov processes as models for engineering problems. Prereq: ESE 326. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: Annually / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 4:00P-5:20P Lopata Hall / 101 Kurenok No Final 65 58 0 Actions: Books E35 ESE 524 Detection and Estimation Theory 3.0 Units Lab Required Details Save  Cancel   My Note:   Description: Study of detection and estimation of signals in noise. Linear algebra, vector spaces, independence, projections. Data independence, factorization theorem and sufficient statistics. Neyman-Pearson and Bayes detection. Least squares, maximum-likelihood and maximum a posteriori estimation of signal parameters. Conjugate priors, recursive estimation, Wiener and Kalman filters. Prerequisite: ESE 520. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 4:00P-5:20P Brauer Hall / 012 Chen May 7 2025 6:00PM - 8:00PM 75 90 8 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. A -T----- 5:30P-6:30P Brauer Hall / 012 Chen Default - none 75 9 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 527 Practicum in Data Analytics & Statistics 3.0 Units Details Save  Cancel   My Note:   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), CSE 417T, ESE 415, and declaration of the MS in DAS. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 5:30P-7:00P Lopata Hall / 101 La Rosa May 5 2025 6:00PM - 8:00PM 0 32 10 Actions: Books Waits managed by dept. E35 ESE 5331 Nanophotonic Optical Media - From Metamaterials to Photonic Crystals and Beyond 3.0 Units Details Save  Cancel   My Note:   Description: The nanometer length scale holds a unique significance for optical engineering because it is home to the wavelengths of visible and infrared light. The behavior of a light wave is particularly sensitive to structural features formed at or below the scale of its wavelength and, as a consequence, nanophotonics encompasses many new and useful phenomena not found in macroscopic systems. In this course, we will explore the physics of light-matter coupling before using it as a guide to engineer new optical material properties via nanofabrication, with applications in computing, telecommunications, biomedical sensing, solar energy harvesting, robotics and more. Key topics covered in the course include Mie resonant dielectric antennas, plasmonic antennas, negative and zero refractive index metamaterials, chiral metamaterials, metasurface lenses and holograms, nonlinear and time dependent metasurfaces, Bragg mirrors, 3D photonic crystals, photonic crystal slab waveguides and cavities, guided mode resonators, photonic crystal lasers. Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 2:30P-3:50P Cupples II / 200 Lawrence May 7 2025 3:30PM - 5:30PM 30 16 0 Actions: Books E35 ESE 547 Robust and Adaptive Control 3.0 Units Details Save  Cancel   My Note:   Description: This course is a graduate level course taught in two parts. Part 1 covers frequency domain analysis of multivariable systems, robustness theory and structured singular value mu analysis, linear quadratic optimal control system design using state and output feedback architectures, H-infinity optimal control, LQG/LTR, and output feedback projective controls. Part 2 covers the design of direct model reference adaptive controllers for uncertain nonlinear systems, Lyapunov stability theory, Barbalat lemma, neural networks, state feedback model reference adaptive control, and adaptive observer-based loop transfer recovery output feedback. Homework and computer design projects use aerospace examples. The adaptive controllers are developed to be an increment added to the robust control baseline architecture (covered in part 1).Prerequisite: ESE 543 Control Systems Design by State Space Methods or ESE 551 Linear Dynamic Systems or equivalent. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 ----F-- 1:00P-3:50P Cupples II / 203 Wise Exam Last Day of Class 30 13 0 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 553 Nonlinear Dynamic Systems 3.0 Units Details Save  Cancel   My Note:   Description: State space and functional analysis approaches to nonlinear systems. Questions of existence, uniqueness, and stability; Lyapunov and frequency-domain criteria; w-limits and invariance, center manifold theory and applications to stability, steady state response and singular perturbations. Poincare-Bendixson theory, the van der Pol oscillator and the Hopf Bifurcation theorem. Prerequisite: ESE 551. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 10:00A-11:20A Green Hall / L0120 Clark May 5 2025 10:30AM - 12:30PM 35 16 0 Actions: Books E35 ESE 5581 Advanced Systems Science for Learning and Control of Complex Dynamic Systems 3.0 Units Details Save  Cancel   My Note:   Description: A rigorous introduction to recent trend and developments in systems and controls. Focuses are on the discussion of multidisciplinary applications of complex dynamical systems that motivate emerging topics in dynamics and control, data science, and learning, and on the review of essential tools and state-of-the-art methods for addressing control, computation, and learning for these large-scale systems. Topics to be covered include stochastic control, geometric control, and systems-enabled data science approaches to control and learning of high-dimensional systems. Technical tools to be discussed include basics of stochastic calculus, stochastic differential equations, and stochastic control; basics and applied differential geometry; principles of optimal control and dynamic programming, as well as reinforcement learning. Applications of these classical and advanced methods to complex networks, multi-agent systems, ensemble systems, neural networks, and manifold learning will be discussed. Students will be exposed to the state-of-the-art research in the field, and are expected to apply the learned knowledge to conduct a final project. Prerequisite: Linear algebra (Math 429) or equivalent, ESE 415 Optimization, ESE 551 Linear Dynamic Systems, and ESE 520 Probability and Stochastic Processes. Students without completing the listed prerequisite coursework may consult with the instructor for permission to enroll in this course. Attributes: Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 11:30A-12:50P Brauer Hall / 012 Li No Final 30 8 0 Actions: Books E35 ESE 559 Special Topics in Systems and Control: Learning and Planning in Robotics 3.0 Units Details Save  Cancel   My Note:   Description: The goal of this course is to introduce modern learning and planning methods for safe robot autonomy. The course will consist of two parts. The first part will focus on motion planning and decision-making methods for autonomous robot systems. Such methods will include dynamic programming, randomized methods (e.g., probabilistic roadmaps and RRT), and reinforcement learning. More advanced planning methods that leverage formal methods, automata theory, and estimation theory will be discussed as well. In the second part, students will present research papers related to topics covered in the first part or their extensions (e.g., deep reinforcement learning, multi-agent systems, or sensor-based planning and control). Prereqs: ESE 520 , ESE 415 or ESE 4031 or ESE 513, and ESE 441 or ESE 543, or permission of instructor Attributes: EN: TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 M-W---- 11:30A-12:50P Simon / 022 Kantaros No Final 19 19 3 Actions: Books E35 ESE 588 Quantitative Image Processing 3.0 Units Details Save  Cancel   My Note:   Description: Introduction to modeling, processing, manipulation and display of images. Application of two-dimensional linear systems to image processing. Two-dimensional sampling and transform methods. The eye and perception. Image restoration and reconstruction. Multiresolution processing, noise reduction and compression. Boundary detection and image segmentation. Case studies in image processing (examples: computer tomography and ultrasonic imaging). Prerequisites: ESE 326, ESE 482. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 2:30P-3:50P Whitaker / 318 [TBA] May 7 2025 3:30PM - 5:30PM 25 25 6 Actions: Books Syllabus Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. E35 ESE 589 Biological Imaging Technology 3.0 Units Details Save  Cancel   My Note:   Description: This class will develop a fundamental understanding of the physics and mathematical methods that underlie biological imaging and critically examine case studies of seminal biological imaging technology literature. The physics section will examine how electromagnetic and acoustic waves interact with tissues and cells, how waves can be used to image the biological structure and function, image formation methods and diffraction limited imaging. The math section will examine image decomposition using basis functions (e.g. fourier transforms), synthesis of measurement data, image analysis for feature extraction, reduction of multi-dimensional imaging datasets, multivariate regression, and statistical image analysis. Original literature on electron, confocal and two photon microscopy, ultrasound, computed tomography, functional and structural magnetic resonance imaging and other emerging imaging technology will be critiqued. Attributes: EN: BME T2, TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: E62 589 Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 8:30A-9:50A Green Hall / L0120 Culver, O'Sullivan, Tai, Shimony May 2 2025 1:00PM - 3:00PM 50 60 1 Actions: Books E35 ESE 590 Electrical & Systems Engineering Graduate Seminar 0.0 Unit Details Save  Cancel   My Note:   Description: This satisfactory/unsatisfactory course is required for the Masters, DSc and PhD degrees in Electrical and Systems Engineering. A satisfactory grade is required for each semester of enrollment and is received by attendance at regularly scheduled ESE seminars. Masters students must attend at least 3 seminars per semester, except for first year Master's students who must attend 4. DSc and PhD students must attend at least 5 seminars per semester, except for first year PhD students who must attend 6. Part-time students are exempt except during their year of residency. Any student under continuing status is also exempt. Attributes: Instruction Type: Classroom instruction Grade Options: U Fees: Course Type: Home Same As: N/A Frequency: Every Semester / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-RF-- 11:00A-11:50A Green Hall / L0120 Feher No Final 300 89 0 Actions: Books E35 ESE 5934 Practicum in Imaging Science 3.0 Units Details Save  Cancel   My Note:   Description: Students develop research results in computational imaging and write a conference paper on the results. The process of research project design and implementation in imaging science. Participation in research teams. Development of milestones in a project and process of meeting expectations. Role of machine learning, computational methods, theoretical methods, datasets, and experiments in imaging science research. Prerequisite: permission of instructor. Attributes: EN: TU 3.00 Instruction Type: Classroom instruction Grade Options: CPA Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 -T-R--- 1:00P-2:20P Sever / 102 O'Sullivan, Culver No Final 0 0 15 Actions: Books Waits managed by dept. E35 ESE 599 Masters Research Var. Units (max = 3.0) Details Save  Cancel   My Note:   Description: Prerequisite: Students must have the ESE Research Registration Form. approved by the department. The form must contain a brief description of the work that is expected to be completed during the course. Attributes: Instruction Type: Dissertation/Research Grade Options: C Fees: Course Type: Home Same As: N/A Frequency: None / History Sec Days       Time Building / Room Instructor Final Exam Seats Enroll Waits 01 TBA TBA Wormleighton No Final 0 0 1 Actions: Books Waits managed by dept. 02 TBA TBA Sorrells No Final 0 1 1 Actions: Books Waits managed by dept. 03 TBA TBA Ching Default - none 0 0 1 Actions: Books Waits managed by dept. 04 TBA TBA Patwari Default - none 0 0 0 Actions: Books Waits managed by dept. 07 TBA TBA Lew Default - none 0 0 0 Actions: Books Waits managed by dept. 08 TBA TBA Chakrabartty Default - none 0 0 1 Actions: Books Waits managed by dept. 09 TBA TBA Wang, Dorothy Default - none 0 0 0 Actions: Books Waits managed by dept. 10 TBA TBA Lawrence Default - none 0 0 0 Actions: Books Waits managed by dept. 11 TBA TBA Feher Default - none 0 0 0 Actions: Books Waits managed by dept. 13 TBA TBA O'Sullivan Default - none 0 0 0 Actions: Books Waits managed by dept. 22 TBA TBA Nagulu Default - none 0 0 0 Actions: Books Waits managed by dept. 28 TBA TBA Yang Default - none 0 0 0 Actions: Books Waits managed by dept. 29 TBA TBA Li Default - none 0 1 1 Actions: Books Waits managed by dept. 30 TBA TBA Shen Default - none 0 0 0 Actions: Books Waits managed by dept. 32 TBA TBA Kurenok Default - none 0 0 0 Actions: Books Waits managed by dept. 34 TBA TBA Mell Default - none 0 0 0 Actions: Books Waits managed by dept. 36 TBA TBA Kamilov Default - none 0 0 1 Actions: Books Waits managed by dept. 37 TBA TBA Zeng Default - none 0 0 0 Actions: Books Waits managed by dept. 38 TBA TBA Zhou Default - none 0 0 0 Actions: Books Waits managed by dept. 39 TBA TBA Villa Default - none 0 0 0 Actions: Books Waits managed by dept. 40 TBA TBA Clark Default - none 0 0 1 Actions: Books Waits managed by dept. 41 TBA TBA Sotiras Default - none 0 0 0 Actions: Books Waits managed by dept. 42 TBA TBA Zhu Default - none 0 0 0 Actions: Books Waits managed by dept. 43 TBA TBA Culver Default - none 0 0 0 Actions: Books Waits managed by dept. 44 TBA (None) / Kantaros Default - none 0 0 0 Actions: Books Waits managed by dept. 45 TBA TBA Chamberlain Default - none 0 0 1 Actions: Books Waits managed by dept. 46 TBA TBA Murch Default - none 0 0 0 Actions: Books Waits managed by dept. 47 TBA TBA Wang Default - none 0 0 1 Actions: Books Waits managed by dept. 48 TBA (None) / Wang Default - none 0 0 0 Actions: Books Waits managed by dept. 49 TBA (None) / Chen Default - none 0 1 0 Actions: Books Waits managed by dept.