| | 02 | TBA | | TBA | Arthur | See Department | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ching | See Department | 0 | 1 | 0 | | |
| 04 | TBA | | TBA | Feinstein | See Department | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Brown | See Department | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang | See Department | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Lew | See Department | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Katz | See Department | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | See Department | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Morley | See Department | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | See Department | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | See Department | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Pickard | See Department | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | See Department | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | See Department | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | See Department | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Shrauner | See Department | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | See Department | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | See Department | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | See Department | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | See Department | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | See Department | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Li | See Department | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shen | See Department | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | See Department | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | See Department | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | See Department | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | See Department | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | See Department | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Anastasio | See Department | 0 | 0 | 0 | | |
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| | 01 | ---R--- | 4:00P-5:30P | Urbauer / 222 | Sheehan | Exam Last Day of Class | 36 | 28 | 0 | | |
| 02 | ---R--- | 5:30P-7:00P | Urbauer / 222 | Sheehan | Exam Last Day of Class | 36 | 18 | 0 | | |
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| | 01 | ----F-- | 4:00P-5:00P | Cupples II / L009 | Gonzalez | No Final | 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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| 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. Prerequisites: Phys 118A. Corequisite: Math 217. |
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| | 01 | -T-R--- | 1:00P-2:30P | Lopata Hall / 101 | Nussinov | Exam Last Day of Class | 110 | 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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| A | -T----- | 4:00P-5:30P | Urbauer / 208 | Section A canceled [TBA] | See Instructor | 0 | 0 | 0 | | |
| B | --W---- | 11:00A-12:30P | Urbauer / 208 | Nussinov | See Instructor | 20 | 10 | 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-2:30P | Urbauer / 208 | Nussinov | See Instructor | 20 | 10 | 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 | --W---- | 4:00P-5:30P | Urbauer / 208 | Section D canceled [TBA] | See Instructor | 0 | 0 | 0 | | |
| E | ---R--- | 2:30P-4:00P | Urbauer / 208 | Nussinov | See Instructor | 19 | 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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| | 01 | M-W---- | 2:30P-4:00P | McMillan / G052 | Feher | May 8 2017 3:30PM - 5:30PM | 74 | 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 | M-W---- | 1:00P-2:30P | McMillan / G052 | Richard | May 10 2017 1:00PM - 3:00PM | 90 | 37 | 0 | | |
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| | 01 | -T-R--- | 10:00A-11:30A | Hillman / 60 | Hasting | May 9 2017 6:00PM - 8:00PM | 80 | 39 | 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--- | 8:30A-10:00A | Louderman / 458 | Hoven | May 5 2017 1:00PM - 3:00PM | 60 | 58 | 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-- | 9:00A-10:00A | Hillman / 70 | Hasting | May 5 2017 8:00AM - 10:00AM | 85 | 78 | 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-F-- | 10:00A-11:00A | Hillman / 70 | Kurenok | May 8 2017 10:30AM - 12:30PM | 80 | 43 | 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 | -T-R--- | 10:00A-11:30A | Louderman / 458 | Zhang | May 9 2017 6:00PM - 8:00PM | 85 | 85 | 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--- | 11:30A-1:00P | Lopata Hall / 101 | Schaettler | May 8 2017 1:00PM - 3:00PM | 85 | 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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| | 01 | M-W---- | 10:00A-11:30A | Simon / 018 | Brown | May 8 2017 10:30AM - 12:30PM | 75 | 66 | 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: | Laboratory exercises provide students with a combination of hands-on experience in working with a variety of real instruments and in working in a simulated "virtual" laboratory setting. A sequence of lab experiments provide hands-on experience with grounding and shielding techniques, signal analysis, realistic operation amplifier (op amp) characterization, op amp based active filters characterization, MOSFET chopper/amplifier behavior, measurement of pulses propagating on a transmission line with various terminations, experience with both AM and FM modulation. Students will gain experience in working with: sampling oscilloscopes, various signal generators, frequency counters, digital multimeters, spectrum analyzers, and contemporary connection boards. The course concludes with a hands-on project to design and demonstrate an electronic component. Prerequisite: ESE 230, ESE 232; Corequisite: ESE 330. |
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| | 01 | ---R--- | 4:00P-8:00P | Urbauer / 208 | Bornholdt | May 10 2017 6:00PM - 8:00PM | 16 | 16 | 0 | | |
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| | 01 | M-W---- | 4:00P-5:30P | Lopata Hall / 101 | Collins | See Instructor | 15 | 4 | 0 | Desc: | Same room as T15 3320. |
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| Description: | Introduction to concepts and methodology of linear dynamic systems in relation to discrete- and continuous-time signals. Mathematical modeling. Representation of systems and signals. Fourier, Laplace, and Z-transforms and convolution. Input-output description of linear systems: impulse response, transfer function. Time-domain and frequency-domain system analysis: transient and steady-state responses, system modes, stability, frequency spectrum. System design: filter, modulation, sampling theorem. Continuity is emphasized from analysis to synthesis. Prerequisites: Physics 117A-118A, Math 217, CSE 131, matrix addition and multiplication; Corequisite: ESE 318. |
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| | 01 | -T-R--- | 2:30P-4:00P | Sever / 102 | Brown | May 10 2017 3:30PM - 5:30PM | 40 | 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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| 02 | -T-R--- | 4:00P-5:30P | Whitaker / 218 | Hoven | May 10 2017 6:00PM - 8:00PM | 35 | 30 | 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 | TBA | | TBA | Arthur | See Department | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ching | See Department | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Feinstein | See Department | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Brown | See Department | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang | See Department | 0 | 3 | 0 | | |
| 07 | TBA | | TBA | Lew | See Department | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Chakrabartty | See Department | 0 | 1 | 0 | | |
| 09 | TBA | | TBA | Katz | See Department | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | See Department | 0 | 1 | 0 | | |
| 11 | TBA | | TBA | Morley | See Department | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | See Department | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | See Department | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Pickard | See Department | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | See Department | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | See Department | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | See Department | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Shrauner | See Department | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | See Department | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | See Department | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | See Department | 0 | 0 | 0 | | |
| 22 | TBA | | TBA | Trobaugh | See Department | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | See Department | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | See Department | 0 | 1 | 0 | | |
| 29 | TBA | | TBA | Li | See Department | 0 | 1 | 0 | | |
| 30 | TBA | | TBA | Shen | See Department | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | See Department | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | See Department | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | See Department | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | See Department | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | See Department | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Anastasio | See Department | 0 | 0 | 0 | | |
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| | 01 | M-W---- | 5:30P-7:00P | Lopata Hall / 202 | Roesener | May 8 2017 6:00PM - 8:00PM | 25 | 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---- | 11:30A-1:00P | Crow / 206 | Li | May 9 2017 10:30AM - 12:30PM | 35 | 30 | 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 | Crow / 206 | Sutton | May 8 2017 6:00PM - 8:00PM | 60 | 46 | 0 | | |
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| Description: | The course provides 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) prerequisite of ESE 230 and corequisite of ESE 351; (2) prerequisites of ESE 230, ESE 318 and MEMS 255 (Mechanics II); (3) prerequisites of ESE 151 and ESE 351; (4) permission of instructor. |
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| | 01 | -T-R--- | 4:00P-5:30P | Whitaker / 216 | Mell | May 10 2017 6:00PM - 8:00PM | 45 | 37 | 0 | | |
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| | A | -T----- | 4:00P-7:00P | Brauer Hall / 007 | Heider | See Instructor | 12 | 11 | 0 | Desc: | Labs are held in Brauer 7. |
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| B | --W---- | 4:00P-7:00P | Brauer Hall / 007 | Heider | See Instructor | 12 | 9 | 0 | Desc: | Labs are held in Brauer 7. |
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| | 01 | M-W---- | 1:00P-2:30P | Seigle / L006 | Min | May 10 2017 1:00PM - 3:00PM | 90 | 63 | 0 | | |
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| | 02 | TBA | | TBA | Arthur | See Instructor | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ching | See Instructor | 0 | 1 | 0 | | |
| 04 | TBA | | TBA | Feinstein | See Instructor | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Richter | See Instructor | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang | See Instructor | 0 | 0 | 0 | | |
| 07 | TBA | | TBA | Lew | See Instructor | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Katz | See Instructor | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | See Instructor | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Morley | See Instructor | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | See Instructor | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | See Instructor | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Pickard | See Instructor | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | See Instructor | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | See Instructor | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | See Instructor | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Shrauner | See Instructor | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | See Instructor | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | See Instructor | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | See Instructor | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | See Instructor | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | See Instructor | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Li | See Instructor | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shen | See Instructor | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | See Instructor | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | See Instructor | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | See Instructor | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | See Instructor | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | See Instructor | 0 | 3 | 0 | | |
| 36 | TBA | | TBA | Anastasio | See Instructor | 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-- | 1:00P-2:00P | Whitaker / 216 | Trobaugh | See Instructor | 50 | 29 | 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: | 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-- | 1:00P-2:00P | Whitaker / 216 | Trobaugh | See Instructor | 35 | 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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| | 02 | TBA | | TBA | Arthur | See Instructor | 0 | 1 | 0 | | |
| 03 | TBA | | TBA | Ching | See Instructor | 0 | 0 | 0 | | |
| 04 | TBA | | TBA | Feinstein | See Instructor | 0 | 1 | 0 | | |
| 05 | TBA | | TBA | Brown | See Instructor | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang, Silvia | See Instructor | 0 | 1 | 0 | | |
| 07 | TBA | | TBA | Lew | See Instructor | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Katz | See Instructor | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | See Instructor | 0 | 1 | 0 | | |
| 11 | TBA | | TBA | Morley | See Instructor | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | See Instructor | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | See Instructor | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Pickard | See Instructor | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | See Instructor | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | See Instructor | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | See Instructor | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Shrauner | See Instructor | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | See Instructor | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | See Instructor | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | See Instructor | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | See Instructor | 0 | 0 | 0 | | |
| 28 | TBA | | TBA | Yang | See Instructor | 0 | 0 | 0 | | |
| 29 | TBA | | TBA | Li | See Instructor | 0 | 0 | 0 | | |
| 30 | TBA | | TBA | Shen | See Instructor | 0 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | See Instructor | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | See Instructor | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | See Instructor | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | See Instructor | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | See Department | 0 | 1 | 0 | | |
| 36 | TBA | | TBA | Anastasio | See Department | 0 | 0 | 0 | | |
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| Description: | Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance. Pre-requisites: Math 309 and ESE 415. |
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| | 01 | -T-R--- | 1:00P-2:30P | Sever / 102 | Feinstein | May 9 2017 1:00PM - 3:00PM | 45 | 21 | 0 | | |
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| | 01 | -T-R--- | 2:30P-4:00P | Green Hall / L0160 | Arthur | May 10 2017 3:30PM - 5:30PM | 60 | 28 | 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-2:30P | Seigle / 103 | Yang | Exam Last Day of Class | 25 | 11 | 0 | | |
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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. Pre-requisites: ESE 330 and Physics 217 or Physics 421 |
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| | 01 | M-W---- | 2:30P-4:00P | Lopata Hall / 202 | Shen | May 8 2017 3:30PM - 5:30PM | 30 | 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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| 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. |
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| | 01 | ----F-- | 1:00P-4:00P | McMillan / G052 | Wise | Exam Last Day of Class | 75 | 41 | 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 | ---R--- | 4:30P-7:30P | TBA | Wise | Exam Last Day of Class | 0 | 8 | 0 | Desc: | This section will be taught at Boeing Bldg. 598, Level 2, Room 229. |
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| Description: | The System-on-Chip (SoCs) technology is at the core of most electronic systems: smart phones, wearable devices, autonomous robots, and cars, aerospace or medical electronics. In these SoCs, billions of transistors can be integrated on a single silicon chip, containing various components such as microprocessors, DSPs, hardware accelerators, memories, and I/O interfaces. Topics include SoC architectures, design tools and methods, as well as system-level tradeoffs between performance, power consumption, energy efficiency, reliability, and programmability. Students will gain an insight into the early stage of the SoC design process performing the tasks of developing functional specification, partition and map functions onto hardware and/or software, and evaluating and validating system performance. Assignments include hands-on design projects. Open to both graduate and senior undergraduate students. Pre-requisites: ESE 260 |
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| | 01 | M-W---- | 2:30P-4:00P | Wrighton / 301 | Zhang | May 8 2017 3:30PM - 5:30PM | 28 | 20 | 0 | | |
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| Description: | Analysis, design, and application of modern optical imaging systems with emphasis on biological imaging. First part of course will focus on the physical principles underlying the operation of imaging systems and their mathematical models. Topics include ray optics (speed of light, refractive index, laws of reflection and refraction, plane surfaces, mirrors, lenses, aberrations), wave optics (amplitude and intensity, frequency and wavelength, superposition and interference, interferometry), Fourier optics (space-invariant linear systems, Huygens-Fresnel principle, angular spectrum, Fresnel diffraction, Fraunhofer diffraction, frequency analysis of imaging systems), and light-matter interaction (absorption, scattering, dispersion, fluorescence). Second part of course will compare modern quantitative imaging technologies including, but not limited to, digital holography, computational imaging, and super-resolution microscopy. Students will evaluate and critique recent optical imaging literature.Pre-requisites: ESE 318 and ESE 319 or their equivalents; ESE 330 or PHY 421 or equivalent.
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| | 01 | -T-R--- | 10:00A-11:30A | Lopata Hall / 202 | Lew | May 9 2017 6:00PM - 8:00PM | 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: | 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. |
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| | 02 | TBA | | TBA | Arthur | Default - none | 0 | 0 | 0 | | |
| 03 | TBA | | TBA | Ching | Default - none | 0 | 1 | 0 | | |
| 04 | TBA | | TBA | Feinstein | Default - none | 0 | 0 | 0 | | |
| 05 | TBA | | TBA | Brown | Default - none | 0 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang, Silvia | See Instructor | 0 | 3 | 0 | | |
| 07 | TBA | | TBA | Lew | See Instructor | 0 | 0 | 0 | | |
| 08 | TBA | | TBA | Chakrabartty | Default - none | 0 | 0 | 0 | | |
| 09 | TBA | | TBA | Katz | Default - none | 0 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | Default - none | 0 | 0 | 0 | | |
| 11 | TBA | | TBA | Morley | Default - none | 0 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | Default - none | 0 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | Default - none | 0 | 0 | 0 | | |
| 14 | TBA | | TBA | Pickard | Default - none | 0 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | Default - none | 0 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | Default - none | 0 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | Default - none | 0 | 0 | 0 | | |
| 18 | TBA | | TBA | Shrauner | Default - none | 0 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | Default - none | 0 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | Default - none | 0 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | Default - none | 0 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | 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 | 9 | 0 | 0 | | |
| 31 | TBA | | TBA | Wang | Default - none | 0 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | Default - none | 0 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | Default - none | 0 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | Default - none | 0 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | Default - none | 0 | 0 | 0 | | |
| 36 | TBA | | TBA | Anastasio | Default - none | 0 | 0 | 0 | | |
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| | 02 | TBA | | TBA | Arthur | Default - none | 9 | 1 | 0 | | |
| 03 | TBA | | TBA | Ching | Default - none | 50 | 3 | 0 | | |
| 04 | TBA | | TBA | Feinstein | Default - none | 9 | 1 | 0 | | |
| 05 | TBA | | TBA | Brown | Default - none | 9 | 0 | 0 | | |
| 06 | TBA | | TBA | Zhang, Silvia | See Instructor | 9 | 1 | 0 | | |
| 07 | TBA | | TBA | Lew | Default - none | 9 | 1 | 0 | | |
| 08 | TBA | | TBA | Chakrabartty | Default - none | 9 | 5 | 0 | | |
| 09 | TBA | | TBA | Katz | Default - none | 9 | 0 | 0 | | |
| 10 | TBA | | TBA | Min | Default - none | 9 | 0 | 0 | | |
| 11 | TBA | | TBA | Morley | Default - none | 9 | 0 | 0 | | |
| 12 | TBA | | TBA | Mukai | Default - none | 9 | 0 | 0 | | |
| 13 | TBA | | TBA | O'Sullivan | Default - none | 9 | 4 | 0 | | |
| 14 | TBA | | TBA | Pickard | Default - none | 9 | 0 | 0 | | |
| 15 | TBA | | TBA | Rode | Default - none | 9 | 0 | 0 | | |
| 16 | TBA | | TBA | Rodin | Default - none | 9 | 0 | 0 | | |
| 17 | TBA | | TBA | Schaettler | Default - none | 9 | 1 | 0 | | |
| 18 | TBA | | TBA | Shrauner | Default - none | 9 | 0 | 0 | | |
| 19 | TBA | | TBA | Snyder | Default - none | 9 | 0 | 0 | | |
| 20 | TBA | | TBA | Spielman | Default - none | 9 | 0 | 0 | | |
| 21 | TBA | | TBA | Tarn | Default - none | 9 | 0 | 0 | | |
| 27 | TBA | | TBA | Nehorai | Default - none | 20 | 8 | 0 | | |
| 28 | TBA | | TBA | Yang | Default - none | 10 | 2 | 0 | | |
| 29 | TBA | | TBA | Li | Default - none | 10 | 2 | 0 | | |
| 30 | TBA | | TBA | Shen | Default - none | 10 | 1 | 0 | | |
| 31 | TBA | | TBA | Wang | Default - none | 10 | 0 | 0 | | |
| 32 | TBA | | TBA | Kurenok | Default - none | 10 | 0 | 0 | | |
| 33 | TBA | | TBA | Gruev | Default - none | 10 | 0 | 0 | | |
| 34 | TBA | | TBA | Mell | Default - none | 10 | 0 | 0 | | |
| 35 | TBA | | TBA | Gonzalez | Default - none | 10 | 1 | 0 | | |
| 36 | TBA | | TBA | Anastasio | Default - none | 20 | 1 | 0 | | |
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| | 01 | TBA | | TBA | Laudel | Default - none | 0 | 1 | 0 | | |
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| | 01 | TBA | | TBA | Laudel | Default - none | 0 | 2 | 0 | | |
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