  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  [TBA]  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   
 34  TBA   TBA  Mell  See Department  0  0  0   
 36  TBA   TBA  Kamilov  See Department  0  0  0   

  01  F  3:00P4:00P  Cupples II / 230  Feher  No Final  48  22  0  Desc:  Attendance is mandatory at the introductory session on January 14 at 6:00 p.m. and at a poster and demonstration session on April 19, 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. 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 198/118A. Corequisite: Math 217. 

  01  TR  1:00P2:30P  Hillman / 60  Nussinov  Exam Last Day of Class  90  30  0   

  01  MWF  10:00A11:00A  Busch / 100  Feher  May 6 2019 10:30AM  12:30PM  54  51  0   

  01  MW  1:00P2:30P  Hillman / 60  Richard  May 8 2019 1:00PM  3:00PM  90  49  0   

  01  MW  11:30A1:00P  McMillan / G052  Hoven  May 7 2019 10:30AM  12:30PM  60  42  0   

  02  TR  11:30A1:00P  Hillman / 60  Brown  May 6 2019 1:00PM  3:00PM  80  76  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  10:00A11:30A  Hillman / 70  Zhang  May 6 2019 10:30AM  12:30PM  85  67  0   

  01  TR  4:00P5:30P  Wrighton / 301  Collins  Paper/Project/Take Home  15  8  0  Desc:  Same room as T15 3320. 
  

 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 spectrum. System design: filter, modulation, sampling theorem. Continuity is emphasized from analysis to synthesis. Prerequisites: Physics 117A118A, Math 217, CSE 131, matrix addition and multiplication; Corequisite: ESE 318. 

  01  TBA   (None) /  Feher  Default  none  0  3  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   
 05  TBA   TBA  Brown  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  Chakrabartty  Default  none  0  1  0   
 09  TBA   TBA  [TBA]  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   
 22  TBA   TBA  Trobaugh  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  1  0   
 34  TBA   TBA  Mell  Default  none  0  0  0   
 36  TBA   TBA  Kamilov  Default  none  0  1  0   

  01  TR  5:30P7:00P  Crow / 205  Bassham  May 7 2019 6:00PM  8:00PM  25  22  0   

 Description:  This course gives a rigorous and comprehensive introduction of fundamentals of nonlinear optimization theory and computational methods. Topics include unconstrained and constrained optimization, quadratic and convex optimization, numerical optimization methods, optimality conditions, and duality theory. Algorithmic methods include Steepest Descent, Newton's method, Conjugate Gradient methods as well as exact and inexact line search procedures for unconstrained optimization. Constrained optimization methods include penalty and multiplier methods. Applications range from engineering and physics to economics. Moreover, generalized programming, interior point methods, and semidefinite programming will be discussed if time permits. Prerequisites: CSE 131, Math 309 and ESE 318 or permission of instructor. 

