printer friendly pageEE 273: Digital Systems Engineering
Electrical issues in the design of high-performance digital systems, including signaling, timing, synchronization, noise, and power distribution. High-speed signaling methods; noise in digital systems, its effect on signaling, and methods for noise reduction; timing conventions; timing noise (skew and jitter), its effect on systems, and methods for mitigating timing noise; synchronization issues and synchronizer design; clock and power distribution problems and techniques; impact of electrical issues on system architecture and design. Prerequisites: EE101A and
EE108A. Recommended:
EE114/214A.
Terms: Spr
| Units: 3
EE 278: Introduction to Statistical Signal Processing
Review of basic probability and random variables. Random vectors and processes; convergence and limit theorems; IID, independent increment, Markov, and Gaussian random processes; stationary random processes; autocorrelation and power spectral density; mean square error estimation, detection, and linear estimation. Formerly
EE 278B. Prerequisites: EE178 and linear systems and Fourier transforms at the level of
EE102A,B or
EE261.
Terms: Aut, Spr, Sum
| Units: 3
Instructors:
Ozgur, A. (PI)
;
Reshetova, D. (PI)
;
Tse, D. (PI)
;
Barnes, L. (TA)
;
Fisher, J. (TA)
;
Zhang, M. (TA)
EE 279: Introduction to Digital Communication
Digital communication is a rather unique field in engineering in which theoretical ideas have had an extraordinary impact on the design of actual systems. The course provides a basic understanding of the analysis and design of digital communication systems, building on various ideas from probability theory, stochastic processes, linear algebra and Fourier analysis. Topics include: detection and probability of error for binary and M-ary signals (PAM, QAM, PSK), receiver design and sufficient statistics, controlling the spectrum and the Nyquist criterion, bandpass communication and up/down conversion, design trade-offs: rate, bandwidth, power and error probability, coding and decoding (block codes, convolutional coding and Viterbi decoding). Prerequisites: 179 or 261, and 178 or 278
Terms: Win
| Units: 3
Instructors:
Ozgur, A. (PI)
;
Inan, H. (TA)
EE 282: Computer Systems Architecture
Course focuses on how to build modern computing systems, namely notebooks, smartphones, and data centers, covering primarily their hardware architecture and certain system software aspects. For each system class, we cover the system architecture, processor technology, advanced memory hierarchy and I/O organization, power and energy management, and reliability. We will also cover topics such as interactions with system software, virtualization, solid state storage, and security. The programming assignments allow students to explore performance/energy tradeoffs when using heterogeneous hardware resources on smartphone devices. Prerequisite:
EE108B. Recommended:
CS 140.
Terms: Spr
| Units: 3
Instructors:
Kozyrakis, C. (PI)
;
Mundada, A. (TA)
EE 284: Introduction to Computer Networks
Structure and components of computer networks; functions and services; packet switching; layered architectures; OSI reference model; physical layer; data link layer; error control; window flow control; media access control protocols used in local area networks (Ethernet, Token Ring, FDDI) and satellite networks; network layer (datagram service, virtual circuit service, routing, congestion control, Internet Protocol); transport layer (UDP, TCP); application layer.
Terms: Aut
| Units: 3
Instructors:
Tobagi, F. (PI)
;
Sly, A. (TA)
EE 285: Embedded Systems Workshop (CS 241)
Project-centric building hardware and software for embedded computing systems. Students work on an existing project of their own or join one of these projects. Syllabus topics will be determined by the needs of the enrolled students and projects. Examples of topics include: interrupts and concurrent programming, deterministic timing and synchronization, state-based programming models, filters, frequency response, and high-frequency signals, low power operation, system and PCB design, security, and networked communication. Prerequisite:
CS107 (or equivalent).
Terms: Aut
| Units: 3
| Repeatable
3 times
(up to 9 units total)
Instructors:
Levis, P. (PI)
;
Leonard, S. (TA)
EE 290A: Curricular Practical Training for Electrical Engineers
For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in
EE290A; for 290C, EE PhD degree candidacy and an "S" grade in
EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in
EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum
| Units: 1
Instructors:
Solgaard, O. (PI)
EE 290B: Curricular Practical Training for Electrical Engineers
For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in
EE290A; for 290C, EE PhD degree candidacy and an "S" grade in
EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in
EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum
| Units: 1
Instructors:
Solgaard, O. (PI)
EE 290C: Curricular Practical Training for Electrical Engineers
For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in
EE290A; for 290C, EE PhD degree candidacy and an "S" grade in
EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in
EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum
| Units: 1
Instructors:
Solgaard, O. (PI)
EE 290D: Curricular Practical Training for Electrical Engineers
For EE majors who need work experience as part of their program of study. Final report required. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in
EE290A; for 290C, EE PhD degree candidacy and an "S" grade in
EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in
EE 290C and instructor consent.
Terms: Aut, Win, Spr, Sum
| Units: 1
Instructors:
Solgaard, O. (PI)
Filter Results: