  01  F  2:30P3:50P  Whitaker / 216  Feher  No final  30  22  0  Desc:  Attendance is mandatory at the introductory session on August 26 at 6:00 p.m. and at a poster and demonstration session on December 6, 2:304:00 p.m.

  

 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, noninverting, 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. 

  01  TR  1:00P2:20P  Hillman / 60  Nussinov  Exam last day of class  170  155  0   
 A  T  2:30P3:50P  Urbauer / 208  Nussinov, Ledbetter  Default  none  22  19  0   
 I  T  2:30P3:50P  Urbauer / 208  Ledbetter  Default  none  16  8  0  Desc:  Priority to BME students 
  

  01  MW  2:30P3:50P  Hillman / 70  Richard  Dec 16 2019 3:30PM  5:30PM  100  56  0   

  02  TR  10:00A11:20A  Louderman / 458  Hasting  Dec 17 2019 6:00PM  8:00PM  80  78  0   

  01  MWF  9:00A9:50A  Hillman / 70  Hasting  Dec 13 2019 8:00AM  10:00AM  85  71  0   
 02  TR  11:30A12:50P  Louderman / 458  Hoven  Dec 16 2019 1:00PM  3:00PM  85  75  0   

 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. 

  01  MW  10:00A11:20A  McDonnell / 162  Zhang, J.  Dec 16 2019 10:30AM  12:30PM  110  111  0   
 02  TR  1:00P2:20P  Brown / 100  Krone  Dec 17 2019 1:00PM  3:00PM  110  98  0   

  01  MW  10:00A11:20A  Jubel / 121  Brown  Dec 16 2019 10:30AM  12:30PM  50  13  0   

 Description:  Introduction to concepts and methodology of linear dynamic systems in relation to discrete and continuoustime signals. Mathematical modeling. Representation of systems and signals. Fourier, Laplace, and Ztransforms and convolution. Inputoutput description of linear systems: impulse response, transfer function. Timedomain and frequencydomain system analysis: transient and steadystate responses, system modes, stability, frequency spectra and frequency responses. System design: filter, modulation, sampling theorem. Continuity is emphasized from analysis to synthesis. Use of Matlab. Prerequisites: Physics 117A118A, Math 217, CSE 131, matrix addition and multiplication; Corequisite: ESE 318. 

  01  TR  2:30P3:50P  Jubel / 120  Zhang  Dec 18 2019 3:30PM  5:30PM  52  51  0   

  01  TR  11:30A12:50P  Jubel / 120  Richard  Dec 16 2019 1:00PM  3:00PM  50  35  0   

  01  TBA   TBA  Feher  Default  none  0  1  0   
 02  TBA   TBA  Arthur  Default  none  0  0  0   
 03  TBA   TBA  Ching  Default  none  0  2  0   
 04  TBA   TBA  Feinstein  Default  none  0  0  0   
 05  TBA   TBA  Genin  Default  none  0  0  0   
 06  TBA   TBA  Zhang, Silvia  Default  none  0  1  0   
 07  TBA   TBA  Lew  Default  none  0  0  0   
 08  TBA   TBA  Kamilov  Default  none  0  0  0   
 10  TBA   TBA  Min  Default  none  0  0  0   
 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   
 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  0  1  0   
 31  TBA   TBA  Wang  Default  none  0  0  0   
 32  TBA   TBA  Kurenok  Default  none  0  0  0   
 34  TBA   TBA  Mell  Default  none  0  0  0   
 37  TBA   TBA  Chakrabartty  Default  none  0  1  0   

  01  MW  5:30P7:00P  McDonnell / 162  La Rosa  Dec 16 2019 6:00PM  8:00PM  100  91  0   

  01  R  1:00P3:50P  Brown / 118  Ekanayake  See department  90  64  0   

 Description:  This course provides an accessible introduction to quantum optics and quantum engineering for undergraduate students. This course covers the following topics: Concept of photons, quantum mechanics for quantum optics, radiative transitions in atoms, lasers, photon statistics (photon counting, Sub/SuperPoissionian photon statistics, bunching, antibunching, theory of photodetection, shot noise), entanglement, squeezed light, atomphoton interactions, cold atoms, atoms in cavities. The course will also provide an overview for quantum information processing: quantum computing, quantum cryptography, and teleportation. Prerequisite Course: Engineering Mathematics 318 or equivalent. 

  01  MW  1:00P2:20P  Whitaker / 216  Shen  Dec 18 2019 1:00PM  3:00PM  30  28  0   

 Description:  This course covers the fundamentals of semiconductor physics and operation principles of modern solidstate devices such as homo or heterojunction diodes, solar cells, inorganic/organic lightemitting diodes, bipolar junction transistors, and metaloxidesemiconductor fieldeffect transistors. These devices form the basis for today's semiconductor and integrated circuit industry. In additional to device physics, semiconductor device fabrication processes, new materials, and novel device structures will also be briefly introduced. At the end of this course, students will be able to understand the characteristics, operation, limitations and challenges faced by stateoftheart semiconductor devices. This course will be particularly useful for students who wish to develop careers in the semiconductor industry. Prerequisite: ESE 232 

 Description:  The course provide engineering students with basic understanding of two of the main components of any modern electrical or electromechanical system; sensors as inputs and actuators as outputs. The covered topics include transfer functions, frequency responses and feedback control. Component matching and bandwidth issues. Performance specification and analysis, Sensors: analog and digital motion sensors, optical sensors, temperature sensors, magnetic and electromagnetic sensors, acoustic sensors, chemical sensors, radiation sensors, torque, force and tactile sensors. Actuators: stepper motors, DC and AC motors, hydraulic actuators, magnet and electromagnetic actuators, acoustic actuators. Introduction to interfacing methods: bridge circuits, A/D and D/A converters, microcontrollers. This course is useful for those students interested in control engineering, robotics and systems engineering. Prerequisites: one of the following 4 conditions:(1) prerequisite of ESE 230 and corequisite of ESE 351; (2) prerequisites of ESE 230, ESE 318 and MEMS 255 (Mechanics II); (3) prerequisite of ESE 351; (4) permission of instructor. 

  01  TR  5:30P7:00P  Jubel / 120  Becnel  Dec 12 2019 3:30PM  5:30PM  36  22  0  Desc:  Occasional labs on Thursdays in Urbauer 208. 
  

  02  TR  6:00P8:00P  Green Hall / 1157  Bhan  No final  0  8  0  Desc:  This section is reserved for a select group of students by invitation only. 
  

  01  TR  2:30P3:50P  Whitaker / 216  Brown  Dec 18 2019 3:30PM  5:30PM  30  17  0   

 Description:  Integrated circuit systems provide the core technology that power today's most advanced devices and electronics: smart phones, wearable devices, autonomous robots, and cars, aerospace or medical electronics.
These systems often consist of silicon microchips made up by billions of transistors and contain various components such as microprocessors, DSPs, hardware accelerators, memories, and I/O interfaces, therefore design automation is critical to tackle the design complexity at the system level. The objectives of this course is to 1) introduce transistorlevel analysis of basic digital logic circuits; 2) provide a general understanding of hardware description language (HDL) and design automation tools for very large scale integrated (VLSI) systems; 3) expose students to the design automation techniques used in the bestknown academic and commercial systems. Topics covered include device and circuits for digital logic circuits, digital IC design flow, logic synthesis, physical design, circuit simulation and optimization, timing analysis, power delivery network analysis. Assignments include homework, miniprojects, term paper and group project. Prerequisites:
ESE 232; ESE 260.


  01  MW  10:00A11:20A  Cupples II / 200  Zhang, Silvia  Dec 16 2019 10:30AM  12:30PM  25  16  0   

  01  T  1:00P2:20P  Urbauer / 115  Richter  Dec 17 2019 1:00PM  3:00PM  24  16  0   

  02  TBA   TBA  Arthur  Default  none  0  0  0   
 03  TBA   TBA  Ching  Default  none  0  0  0   
 04  TBA   TBA  Feinstein  Default  none  0  0  0   
 06  TBA   TBA  Zhang, Silvia  Default  none  0  1  0   
 07  TBA   TBA  Lew  Default  none  0  0  0   
 08  TBA   TBA  Kamilov  Default  none  0  0  0   
 10  TBA   TBA  Min  Default  none  0  0  0   
 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   
 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  0  0  0   
 31  TBA   TBA  Wang  Default  none  0  0  0   
 32  TBA   TBA  Kurenok  Default  none  0  0  0   
 34  TBA   TBA  Mell  Default  none  0  0  0   
 36  TBA   TBA  Anastasio  Default  none  0  0  0   
 37  TBA   TBA  Chakrabartty  Default  none  0  0  0   
 38  TBA   (None) /  Patwari  Default  none  0  1  0   
 39  TBA   TBA  Wang  Default  none  0  1  0   

 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. 

  01  F  2:00P3:50P  Jubel / 120  Trobaugh  No final  50  9  0   

 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 

