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1 - 10 of 27 results for: EE

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EE 11SC: Dream It, Build It!

The world is filled with electronic devices! There seem to be more and more all the time. Wouldn't it be cool to hack and build stuff? Bend electronics to your will? Cloud connect your own stuff? Dream It, Build It is a great place to start. Designed for folks with no experience, it will take you from zero to capable in short order. We will show you some of the worst kept secrets of how things are built and help you build stuff of your own. We'll start out with some basics about how to build things, how to measure things, how to hook stuff together and end up being able to make cloud-connected gizmos. [This is a SOPHOMORE COLLEGE course. Visit soco.stanford.edu for full details.]
Terms: Sum | Units: 2
Instructors: Clark, S. (PI) ; Pauly, J. (PI)

EE 101A: Circuits I

Introduction to circuit modeling and analysis. Topics include creating the models of typical components in electronic circuits and simplifying non-linear models for restricted ranges of operation (small signal model); and using network theory to solve linear and non-linear circuits under static and dynamic operations. Prerequisite: ENGR40 or ENGR40M is useful but not strictly required.
Terms: Win, Sum | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-SMA

EE 102A: Signal Processing and Linear Systems I

Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time invariance. System impulse and step responses. System frequency response. Frequency-domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete-time signal conversion and quantization. Discrete-time signal processing. Prerequisite: MATH 53 or CME 102.
Terms: Win, Sum | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
Instructors: Kahn, J. (PI) ; Koochak, Z. (PI) ; Diamandis, T. (TA) ; Murray, G. (TA)

EE 103: Introduction to Matrix Methods (CME 103)

Introduction to applied linear algebra with emphasis on applications. Vectors, norm, and angle; linear independence and orthonormal sets; applications to document analysis. Clustering and the k-means algorithm. Matrices, left and right inverses, QR factorization. Least-squares and model fitting, regularization and cross-validation. Constrained and nonlinear least-squares. Applications include time-series prediction, tomography, optimal control, and portfolio optimization. Undergraduate students should enroll for 5 units, and graduate students should enroll for 3 units. Prerequisites: MATH 51 or CME 100, and basic knowledge of computing ( CS 106A is more than enough, and can be taken concurrently). EE103/CME103 and Math 104 cover complementary topics in applied linear algebra. The focus of EE103 is on a few linear algebra concepts, and many applications; the focus of Math 104 is on algorithms and concepts.
Terms: Aut, Sum | Units: 3-5 | UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR

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, Sum | 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, Sum | Units: 1-15 | Repeatable for credit

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, Sum | Units: 3-10

EE 216: Principles and Models of Semiconductor Devices

Carrier generation, transport, recombination, and storage in semiconductors. Physical principles of operation of the p-n junction, heterojunction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction field-effect transistors, and related optoelectronic devices such as CCDs, solar cells, LEDs, and detectors. First-order device models that reflect physical principles and are useful for integrated-circuit analysis and design. Prerequisite: 116 or equivalent.
Terms: Aut, Win, Sum | Units: 3

EE 261: The Fourier Transform and Its Applications

The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm. Multidimensional Fourier transform and use in imaging. Further applications to optics, crystallography. Emphasis is on relating the theoretical principles to solving practical engineering and science problems. Prerequisites: Math through ODEs, basic linear algebra, Comfort with sums and discrete signals, Fourier series at the level of 102A
Terms: Win, Sum | Units: 3

EE 263: Introduction to Linear Dynamical Systems (CME 263)

Applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Topics: least-squares approximations of over-determined equations, and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm, and singular-value decomposition. Eigenvalues, left and right eigenvectors, with dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer-matrix descriptions. Control, reachability, and state transfer; observability and least-squares state estimation. Prerequisites: Linear algebra and matrices as in EE 103 or MATH 104; ordinary differential equations and Laplace transforms as in EE 102B or CME 102.
Terms: Aut, Sum | Units: 3
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