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EE 390: Special Studies or Projects in Electrical Engineering

Independent work under the direction of a faculty member. Individual or team activities may involve lab experimentation, design of devices or systems, or directed reading. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit
Instructors: Allison, D. (PI) ; Arbabian, A. (PI) ; Bambos, N. (PI) ; Bayati, M. (PI) ; Boahen, K. (PI) ; Boneh, D. (PI) ; Bosi, M. (PI) ; Bowden, A. (PI) ; Boyd, S. (PI) ; Bravman, J. (PI) ; Bube, R. (PI) ; Byer, R. (PI) ; Cheriton, D. (PI) ; Cioffi, J. (PI) ; Cover, T. (PI) ; Cox, D. (PI) ; DaRosa, A. (PI) ; Dai, H. (PI) ; Dally, B. (PI) ; Dasher, R. (PI) ; Dill, D. (PI) ; Duchi, J. (PI) ; Dutton, R. (PI) ; El Gamal, A. (PI) ; Elschot, S. (PI) ; Emami-Naeini, A. (PI) ; Enge, P. (PI) ; Engler, D. (PI) ; Fan, J. (PI) ; Fan, S. (PI) ; Franklin, G. (PI) ; Fraser-Smith, A. (PI) ; Garcia-Molina, H. (PI) ; Gibbons, F. (PI) ; Gibbons, J. (PI) ; Gill, J. (PI) ; Giovangrandi, L. (PI) ; Girod, B. (PI) ; Glover, G. (PI) ; Goldsmith, A. (PI) ; Goodman, J. (PI) ; Gorinevsky, D. (PI) ; Gray, R. (PI) ; Guibas, L. (PI) ; Hanrahan, P. (PI) ; Harris, J. (PI) ; Harris, S. (PI) ; Hellman, M. (PI) ; Helms, C. (PI) ; Hennessy, J. (PI) ; Hesselink, L. (PI) ; Horowitz, M. (PI) ; Howe, R. (PI) ; Inan, U. (PI) ; Johari, R. (PI) ; Kahn, J. (PI) ; Katti, S. (PI) ; Kazovsky, L. (PI) ; Khuri-Yakub, B. (PI) ; Kino, G. (PI) ; Kovacs, G. (PI) ; Kozyrakis, C. (PI) ; Lall, S. (PI) ; Lam, M. (PI) ; Lee, T. (PI) ; Leeson, D. (PI) ; Levin, C. (PI) ; Levis, P. (PI) ; Levoy, M. (PI) ; Linscott, I. (PI) ; Manoharan, H. (PI) ; McCluskey, E. (PI) ; McKeown, N. (PI) ; Melen, R. (PI) ; Meng, T. (PI) ; Miller, D. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Murmann, B. (PI) ; Napel, S. (PI) ; Narasimha, M. (PI) ; Ng, A. (PI) ; Nishi, Y. (PI) ; Nishimura, D. (PI) ; Olukotun, O. (PI) ; Osgood, B. (PI) ; Ozgur, A. (PI) ; Paulraj, A. (PI) ; Pauly, J. (PI) ; Pease, R. (PI) ; Pelc, N. (PI) ; Pianetta, P. (PI) ; Plummer, J. (PI) ; Poon, A. (PI) ; Pop, E. (PI) ; Popelka, G. (PI) ; Powell, J. (PI) ; Prabhakar, B. (PI) ; Pratt, V. (PI) ; Quate, C. (PI) ; Rivas-Davila, J. (PI) ; Rosenblum, M. (PI) ; Saraswat, K. (PI) ; Shahidi, R. (PI) ; Shen, Z. (PI) ; Shenoy, K. (PI) ; Siegel, M. (PI) ; Smith, J. (PI) ; Soh, H. (PI) ; Solgaard, O. (PI) ; Spielman, D. (PI) ; Stinson, J. (PI) ; Thompson, N. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Tse, D. (PI) ; Tyler, G. (PI) ; Ullman, J. (PI) ; Van Roy, B. (PI) ; Vuckovic, J. (PI) ; Walt, M. (PI) ; Wandell, B. (PI) ; Wang, S. (PI) ; Weissman, T. (PI) ; Wenstrand, J. (PI) ; Wetzstein, G. (PI) ; White, R. (PI) ; Widom, J. (PI) ; Widrow, B. (PI) ; Wong, H. (PI) ; Wong, S. (PI) ; Wooley, B. (PI) ; Yamamoto, Y. (PI) ; Zebker, H. (PI) ; de la Zerda, A. (PI)

EE 391: Special Studies and Reports in Electrical Engineering

Independent work under the direction of a faculty member; written report or written examination required. Letter grade given on the basis of the report; if not appropriate, student should enroll in 390. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit
Instructors: Abel, J. (PI) ; Allison, D. (PI) ; Arbabian, A. (PI) ; Bambos, N. (PI) ; Bayati, M. (PI) ; Bent, S. (PI) ; Boahen, K. (PI) ; Boneh, D. (PI) ; Bosi, M. (PI) ; Bowden, A. (PI) ; Boyd, S. (PI) ; Bravman, J. (PI) ; Brongersma, M. (PI) ; Bube, R. (PI) ; Byer, R. (PI) ; Cheriton, D. (PI) ; Cioffi, J. (PI) ; Cover, T. (PI) ; Cox, D. (PI) ; Cui, Y. (PI) ; DaRosa, A. (PI) ; Dally, B. (PI) ; Dasher, R. (PI) ; Dill, D. (PI) ; Duchi, J. (PI) ; Dutton, R. (PI) ; El Gamal, A. (PI) ; Elschot, S. (PI) ; Emami-Naeini, A. (PI) ; Enge, P. (PI) ; Engler, D. (PI) ; Fan, J. (PI) ; Fan, S. (PI) ; Fejer, M. (PI) ; Flynn, M. (PI) ; Franklin, G. (PI) ; Fraser-Smith, A. (PI) ; Garcia-Molina, H. (PI) ; Gibbons, F. (PI) ; Gibbons, J. (PI) ; Gill, J. (PI) ; Giovangrandi, L. (PI) ; Girod, B. (PI) ; Glover, G. (PI) ; Goldsmith, A. (PI) ; Goodman, J. (PI) ; Gorinevsky, D. (PI) ; Gray, R. (PI) ; Guibas, L. (PI) ; Hanrahan, P. (PI) ; Harris, J. (PI) ; Harris, S. (PI) ; Hellman, M. (PI) ; Helms, C. (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) ; Kino, G. (PI) ; Kovacs, G. (PI) ; Kozyrakis, C. (PI) ; Lall, S. (PI) ; Lam, M. (PI) ; Lauben, D. (PI) ; Lee, T. (PI) ; Leeson, D. (PI) ; Levin, C. (PI) ; Levis, P. (PI) ; Levoy, M. (PI) ; Linscott, I. (PI) ; Manoharan, H. (PI) ; McCluskey, E. (PI) ; McKeown, N. (PI) ; Melen, R. (PI) ; Meng, T. (PI) ; Miller, D. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Murmann, B. (PI) ; Napel, S. (PI) ; Narasimha, M. (PI) ; Ng, A. (PI) ; Nishi, Y. (PI) ; Nishimura, D. (PI) ; Olukotun, O. (PI) ; Osgood, B. (PI) ; Ozgur, A. (PI) ; Palanker, D. (PI) ; Paulraj, A. (PI) ; Pauly, J. (PI) ; Pease, R. (PI) ; Pelc, N. (PI) ; Pianetta, P. (PI) ; Plummer, J. (PI) ; Poon, A. (PI) ; Pop, E. (PI) ; Popelka, G. (PI) ; Powell, J. (PI) ; Prabhakar, B. (PI) ; Pratt, V. (PI) ; Quate, C. (PI) ; Rajagopal, R. (PI) ; Rivas-Davila, J. (PI) ; Rosenblum, M. (PI) ; Saraswat, K. (PI) ; Shahidi, R. (PI) ; Shen, Z. (PI) ; Shenoy, K. (PI) ; Siegel, M. (PI) ; Smith, J. (PI) ; Soh, H. (PI) ; Solgaard, O. (PI) ; Spielman, D. (PI) ; Stinson, J. (PI) ; Thompson, N. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Tse, D. (PI) ; Tyler, G. (PI) ; Ullman, J. (PI) ; Van Roy, B. (PI) ; Vuckovic, J. (PI) ; Walt, M. (PI) ; Wandell, B. (PI) ; Wang, S. (PI) ; Weissman, T. (PI) ; Wenstrand, J. (PI) ; Wetzstein, G. (PI) ; White, R. (PI) ; Widom, J. (PI) ; Widrow, B. (PI) ; Wong, H. (PI) ; Wong, S. (PI) ; Wooley, B. (PI) ; Yamamoto, Y. (PI) ; Yang, D. (PI) ; Zebker, H. (PI) ; de la Zerda, A. (PI)

EE 392AA: Advanced Digital Transmission

This course will develop insights into fundamentals and design of state-of-the-art physical-layer transmission systems. Specific attention will be paid to transmission in non-ideal environments with limited spectra and spatial interference. A theory of parallel channels is used to develop multi-carrier methods, vector coding, and generalized decision-feedback approaches. Students will be expected to design and analyze performance of systems operating close to fundamental limits for a variety of practical channels, wireline or wireless. Prerequisites: EE379 or equivalent; understanding of probability, random processes, digital signal processing (including basic matrix and nmatlab skills).
Last offered: Spring 2015

EE 392B: Industrial Internet of Things

The seminar will feature guest lectures from the industry to discuss the state of the affairs in the Industrial Internet of Things (IoT) with emphasis on existing and new Data Science, analytics, and Big Data applications. The class will address several verticals. One of them is electrical power industry, which is undergoing transition to renewables and distributed generation. Another one is aerospace industry including airlines and equipment vendors. Other verticals are oil and gas, data centers, and semiconductor manufacturing.
Terms: Spr | Units: 1 | Repeatable for credit
Instructors: Gorinevsky, D. (PI) ; O'Neill, D. (PI)

EE 392D: Designing Civic Technologies with Virtual Reality

In this class students develop prototypes for virtual reality applications, which strive for a positive impact on society. The students work in interdisciplinary teams, and the projects are developed following the human-centered design process of need-finding, rapid prototyping, user-testing and iterations. We approach virtual reality as a civic technology in the following focus areas: education, environment, health care, democratic decision-making and journalistic storytelling. The class collaborates with industry and organizational partners in those respective areas for needfinding, prototyping and user-testing.
Terms: Aut | Units: 3-4
Instructors: Wetzstein, G. (PI)

EE 392E: VLSI Signal Processing

DSP architecture design. Study of circuit and architecture techniques in energy-area-performance space, design methodology based on a data-flow graph model that leads to hardware implementation. We explore automated wordlength reduction, direct and recursive filters, time-frequency analysis and other examples. The project focuses on architecture exploration for selected DSP algorithms. Useful for algorithm designers who consider hardware constraints and for circuit designers who prototype DSP algo-rithms in hardware. Prerequisites: EE102B and EE108A; Recommended: EE264 and EE271.
Terms: Aut | Units: 3

EE 392I: Seminar on Trends in Computing and Communications

Lectures series and invited talks on current trends in computing and communications, and ongoing initiatives for research and open innovation. This year's focus on evolving cloud computing architectures and their impact on the enterprise; big data trends and rise of the third platform; software as a service; wireless and cellular network architectures; mobility and mobile data proliferation; open mobile platforms (e.g. Android); multi-homed mobile networking, associated data communication and mobile resource trade-offs, and system implementation in smartphones and Android devices.
Terms: Spr | Units: 1
Instructors: Singh, J. (PI)

EE 392K: Analysis and Modeling of Big Data from Things That Move

The course will consider data from real-world systems, with an emphasis on ¿things that move¿. Methods of sensing movement, denoising movement data through filtering, and algorithms for reconstructing trajectories from snapshots will be discussed. Principles of creating a ¿movement database¿ and using it for anomaly detection, launching ad hoc queries to get into the movement of large fleets (buses, trains, taxis) and passengers. Novel variants of the traveling salesman problems and its application to delivery systems will also be covered.
Terms: Win | Units: 3
Instructors: Prabhakar, B. (PI)

EE 392L: Modern Cellular Communication Systems

In-depth study of theoretical and practical aspects of next-generation cellular communication systems including design principles, system and service requirements, implementation limitations and deployment scenarios using examples from real-life systems. Topics include radio access and core network protocols; centralized and distributed network architectures; power, mobility, and interference management; RF spectrum utilization; network capacity and user throughput optimization; coding and modulation, multiple-access schemes, and multi-antenna transmission techniques; modern RF transceiver architectures and baseband signal processing; multi-radio platforms; and future trends in wireless communication. Suggested prerequisites: EE359 or equivalent courses.
Terms: Win | Units: 3

EE 392Q: Parallel Processors Beyond Multicore Processing

The current parallel computing research emphasizes multi-cores, but there are alterna-tive array processors with significant potential. This hands-on course focuses on SIMD (Single-Instruction, Multiple-Data) massively parallel processors. Topics: Flynn's Taxonomy, parallel architectures, Kestrel architecture and simulator, principles of SIMD programming, parallel sorting with sorting networks, string comparison with dynamic programming (edit distance, Smith-Waterman), arbitrary-precision operations with fixed-point numbers, reductions, vector and matrix multiplication, image processing algo-rithms, asynchronous algorithms on SIMD ("SIMD Phase Programming Model"), Man-delbrot set, analysis of parallel performance.
Terms: Spr | Units: 3
Instructors: Di Blas, A. (PI)
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