printer friendly pageEE 310: SystemX: Ubiquitous Sensing, Computing and Communication Seminar
This is a seminar course with invited speakers. Sponsored by Stanford's SystemX Alliance, the talks will cover emerging topics in contemporary hardware/software systems design. Special focus will be given to the key building blocks of sensors, processing elements and wired/wireless communications, as well as their foundations in semiconductor technology, SoC construction, and physical assembly as informed by the SystemX Focus Areas. The seminar will draw upon distinguished engineering speakers from both industry and academia who are involved at all levels of the technology stack and the applications that are now becoming possible. May be repeat for credit
Terms: Aut, Win, Spr
| Units: 1
| Repeatable
for credit
Instructors:
Barratt, C. (PI)
;
Madden, L. (PI)
EE 311: Advanced Integrated Circuits Technology
What are the practical and fundamental limits to the evolution of the technology of modern MOS devices and interconnects? How are modern devices and circuits fabricated and what future changes are likely? Advanced techniques and models of MOS devices and back-end (interconnect and contact) processing. What are future device structures and materials to maintain progress in integrated electronics? MOS front-end and back-end process integration. Prerequisites:
EE 216 or equivalent. Recommended:
EE 212.
Terms: Spr
| Units: 3
Instructors:
Saraswat, K. (PI)
EE 314A: RF Integrated Circuit Design
Design of RF integrated circuits for communications systems, primarily in CMOS. Topics: the design of matching networks and low-noise amplifiers at RF, mixers, modulators, and demodulators; review of classical control concepts necessary for oscillator design including PLLs and PLL-based frequency synthesizers. Design of low phase noise oscillators. Design of high-efficiency (e.g., class E, F) RF power amplifiers, coupling networks. Behavior and modeling of passive and active components at RF. Narrowband and broadband amplifiers; noise and distortion measures and mitigation methods. Overview of transceiver architectures. Prerequisite:
EE214B.
Terms: Spr
| Units: 3
Instructors:
Sawaby, M. (PI)
;
Poole, N. (TA)
EE 340: Quantum Photonics
Introduction to quantum photonics - generation and manipulation of quantum light on a chip. Classical (coherent) and quantum (Fock, squeezed, entangled, cluster) states of light. Cavity quantum electrodynamics: strong and weak-coupling regime (Purcell factor, spontaneous emission control). Light-matter entanglement in solid state. Measurements of photon statistics and photon indistinguishability; quantum state tomography. Platforms for quantum photonics. Quantum networks; photonics in quantum simulation and computing. Prerequisites: undergraduate/ introductory graduate electromagnetics and quantum mechanics
Terms: Spr
| Units: 3
Instructors:
Vuckovic, J. (PI)
;
Ahn, G. (TA)
EE 346: Introduction to Nonlinear Optics
Wave propagation in anisotropic, nonlinear, and time-varying media. Microscopic and macroscopic description of electric-dipole susceptibilities. Free and forced waves; phase matching; slowly varying envelope approximation; dispersion, diffraction, space-time analogy. Harmonic generation; frequency conversion; parametric amplification and oscillation; electro-optic light modulation. Raman and Brillouin scattering; nonlinear processes in optical fibers. Prerequisites: 242, 236C.
Terms: Spr
| Units: 3
Instructors:
Fejer, M. (PI)
EE 364A: Convex Optimization I (CME 364A)
Convex sets, functions, and optimization problems. The basics of convex analysis and theory of convex programming: optimality conditions, duality theory, theorems of alternative, and applications. Least-squares, linear and quadratic programs, semidefinite programming, and geometric programming. Numerical algorithms for smooth and equality constrained problems; interior-point methods for inequality constrained problems. Applications to signal processing, communications, control, analog and digital circuit design, computational geometry, statistics, machine learning, and mechanical engineering. Prerequisite: linear algebra such as
EE263, basic probability.
Terms: Win, Sum
| Units: 3
Instructors:
Ayazifar, B. (PI)
;
Boyd, S. (PI)
;
Ogut, G. (PI)
;
Bell, L. (TA)
;
Hofgard, J. (TA)
;
Holt, G. (TA)
;
Johansson, K. (TA)
;
Parshakova, T. (TA)
;
Tse, D. (TA)
;
Yang, A. (TA)
EE 364B: Convex Optimization II (CME 364B)
Continuation of 364A. Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Monotone operators and proximal methods; alternating direction method of multipliers. Exploiting problem structure in implementation. Convex relaxations of hard problems. Global optimization via branch and bound. Robust and stochastic optimization. Applications in areas such as control, circuit design, signal processing, and communications. Course requirements include project. Prerequisite: 364A.
Terms: Spr
| Units: 3
Instructors:
Pilanci, M. (PI)
;
Mishkin, A. (TA)
EE 369B: Medical Imaging Systems II (BMP 269B)
Imaging internal structures within the body using magnetic resonance studied from a systems viewpoint. Analysis of magnetic resonance imaging systems including physics, Fourier properties of image formation, effects of system imperfections, image contrast, and noise. Pre- or corequisite:
EE 261 or equivalent
Terms: Spr
| Units: 3
EE 379B: Advanced Data Transmission Design
EE 379B follows 379A and focuses on state-of-the-art data communication system theory and design, particularly systems with multiple users and dimensions (MIMO over parallel antennas or wires). The focus is on multi-user physical-layer channels like multiple access, broadcast, and interference channels, their capacity regions and designs to achieve any points therein. Examples include the latest cellular, Wi-Fi, wireline, cable, and other systems that stress fundamental transmission limits. Topics include system design, particularly physical-layer modulation/coding analysis and optimization through various artificial intelligence and optimization methods for multi-dimensional channels. Included are methods to design and adapt both transmitter and receiver to variable channels. Prerequisites:
EE 278, linear algebra,
EE 279 or
EE 379A (
or 379), or instructor consent. Instructor: Cioffi
Terms: Spr
| Units: 3
Instructors:
Cioffi, J. (PI)
EE 380: Colloquium on Computer Systems
Live presentations of current research in the design, implementation, analysis, and applications of computer systems. Topics range over a wide range and are different every quarter. Topics may include fundamental science, mathematics, cryptography, device physics, integrated circuits, computer architecture, programming, programming languages, optimization, applications, simulation, graphics, social implications, venture capital, patent and copyright law, networks, computer security, and other topics of related to computer systems. May be repeated for credit.
Terms: Win, Sum
| Units: 1
| Repeatable
for credit
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