2015-2016 2016-2017 2017-2018 2018-2019 2019-2020
Browse
by subject...
    Schedule
view...
 

11 - 20 of 61 results for: EE

EE 142: Engineering Electromagnetics

Introduction to electromagnetism and Maxwell's equations in static and dynamic regimes. Electrostatics and magnetostatics: Gauss's, Coulomb's, Faraday's, Ampere's, Biot-Savart's laws. Electric and magnetic potentials. Boundary conditions. Electric and magnetic field energy. Electrodynamics: Wave equation; Electromagnetic waves; Phasor form of Maxwell's equations.nSolution of the wave equation in 1D free space: Wavelength, wave-vector, forward and backward propagating plane waves.Poynting's theorem. Propagation in lossy media, skin depth. Reflection and refraction at planar boundaries, total internal reflection. Solutions of wave equation for various 1D-3D problems: Electromagnetic resonators, waveguides periodic media, transmission lines. Formerly EE 141. Pre-requisites: Phys 43 or EE 42, CME 100, CME 102
Terms: Spr | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-FR, WAY-SMA

EE 178: Probabilistic Systems Analysis

Introduction to probability and statistics and their role in modeling and analyzing real world phenomena. Events, sample space, and probability. Discrete random variables, probability mass functions, independence and conditional probability, expectation and conditional expectation. Continuous random variables, probability density functions, independence and expectation, derived densities. Transforms, moments, sums of independent random variables. Simple random processes. Limit theorems. Introduction to statistics: significance, estimation and detection. Prerequisites: basic calculus.
Terms: Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci

EE 180: Digital Systems Architecture

The design of processor-based digital systems. Instruction sets, addressing modes, data types. Assembly language programming, low-level data structures, introduction to operating systems and compilers. Processor microarchitecture, microprogramming, pipelining. Memory systems and caches. Input/output, interrupts, buses and DMA. System design implementation alternatives, software/hardware tradeoffs. Labs involve the design of processor subsystems and processor-based embedded systems. Formerly EE 108B. Prerequisite: CS107 (required) and EE108 (recommended but not required).
Terms: Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-SMA

EE 185: Interactive Light Sculpture Project

Design, prototype, build, refine, program, and install a large interactive light sculpture in the Packard Building to celebrate the 125th anniversary of the EE department. Students may take the course for 1, 2, or 3 quarters; each quarter focuses on a different phase of the project. Topics covered include energy budgeting, communication, enclosure design, scalability, timing, circuit design, structural design, and safety. Prerequisite: ENGR 40M, or an introductory EE or CS course in circuits or programming.
Terms: Aut, Win, Spr | Units: 3 | Repeatable for credit

EE 190: Special Studies or Projects in Electrical Engineering

Independent work under the direction of a faculty member. Individual or team activities involve lab experimentation, design of devices or systems, or directed reading. Course may be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-15 | Repeatable for credit
Instructors: Arbabian, A. (PI) ; Bambos, N. (PI) ; Boahen, K. (PI) ; Boneh, D. (PI) ; Bowden, A. (PI) ; Boyd, S. (PI) ; Cioffi, J. (PI) ; Dally, B. (PI) ; Duchi, J. (PI) ; Dutton, R. (PI) ; El Gamal, A. (PI) ; Emami-Naeini, A. (PI) ; Engler, D. (PI) ; Fan, J. (PI) ; Fan, S. (PI) ; Fraser-Smith, A. (PI) ; Garcia-Molina, H. (PI) ; Gibbons, J. (PI) ; Gill, J. (PI) ; Giovangrandi, L. (PI) ; Girod, B. (PI) ; Goldsmith, A. (PI) ; Hanrahan, P. (PI) ; Harris, J. (PI) ; Hennessy, J. (PI) ; Hesselink, L. (PI) ; Horowitz, M. (PI) ; Howe, R. (PI) ; Inan, U. (PI) ; Kahn, J. (PI) ; Katti, S. (PI) ; Kazovsky, L. (PI) ; Khuri-Yakub, B. (PI) ; Kovacs, G. (PI) ; Kozyrakis, C. (PI) ; Lall, S. (PI) ; Lee, T. (PI) ; Levis, P. (PI) ; Levoy, M. (PI) ; McKeown, N. (PI) ; Miller, D. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Murmann, B. (PI) ; Nishi, Y. (PI) ; Nishimura, D. (PI) ; Olukotun, O. (PI) ; Osgood, B. (PI) ; Paulraj, A. (PI) ; Pauly, J. (PI) ; Pease, R. (PI) ; Pianetta, P. (PI) ; Plummer, J. (PI) ; Poon, A. (PI) ; Pop, E. (PI) ; Prabhakar, B. (PI) ; Rivas-Davila, J. (PI) ; Rosenblum, M. (PI) ; Saraswat, K. (PI) ; Shenoy, K. (PI) ; Soh, H. (PI) ; Solgaard, O. (PI) ; Thompson, N. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Van Roy, B. (PI) ; Vuckovic, J. (PI) ; Wang, S. (PI) ; Weissman, T. (PI) ; Wetzstein, G. (PI) ; Widom, J. (PI) ; Widrow, B. (PI) ; Wong, H. (PI) ; Wong, S. (PI) ; Wooley, B. (PI) ; Wootters, M. (PI) ; Yamamoto, Y. (PI) ; Zebker, H. (PI)

EE 191: Special Studies and Reports in Electrical Engineering

Independent work under the direction of a faculty member given for a letter grade only. If a letter grade given on the basis of required written report or examination is not appropriate, enroll in 190. Course may be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-15 | Repeatable for credit

EE 191A: Special Studies and Reports in Electrical Engineering

Terms: Aut, Win, Spr | Units: 1

EE 191W: Special Studies and Reports in Electrical Engineering (WIM)

WIM-version of EE 191. For EE students using special studiesn(e.g., honors project, independent research project) to satisfy thenwriting-in-major requirement. A written report that has gone through revision with an advisor is required. An advisor from the Writing Center is recommended.
Terms: Aut, Win, Spr | Units: 3-10

EE 195: Electrical Engineering Instruction

Terms: Aut, Win, Spr | Units: 1-3

EE 207: Neuromorphics: Brains in Silicon (BIOE 313)

(Formerly EE 304) Neuromorphic systems run perceptual, cognitive and motor tasks in real-time on a network of highly interconnected nonlinear units. To maximize density and minimize energy, these units--like the brain's neurons--are heterogeneous and stochastic. The first half of the course covers learning algorithms that automatically synthesize network configurations to perform a desired computation on a given heterogeneous neural substrate. The second half of the course surveys system-on-a-chip architectures that efficiently realize highly interconnected networks and mixed analog-digital circuit designs that implement area and energy-efficient nonlinear units. Prerequisites: EE102A is required.
Terms: Spr | Units: 3
Instructors: Boahen, K. (PI)
Filter Results:
term offered
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints