2015-16 Catalog | Caltech Academic Catalog

EE 1

Introduction to Electrical Engineering Seminar

1 unit | second term

. Required for EE undergraduates. Weekly seminar given by faculty in the department broadly describing different areas of electrical engineering: circuits and VLSI, communications, control, devices, images and vision, information theory, learning and pattern recognition, MEMS and micromachining, networks, electromagnetics and opto-electronics, RF and microwave circuits and antennas, robotics and signal processing, and specifically, research going on at Caltech.

Instructor: Staff

EE 5

Introduction to Embedded Systems

6 units (2-3-1) | third term

This course is intended to give the student a basic understanding of the major hardware and software principles involved in the specification and design of embedded systems. Topics include basic digital logic, CPU and embedded system architecture, and embedded systems programming principles (events, user interfaces, and multitasking). The class is intended for students who wish to gain a basic understanding of embedded systems or for those who would like an introduction to the material before taking EE/CS 51/52. Graded pass/fail.

Instructor: George

EE/ME 7

Introduction to Mechatronics

6 units (2-3-1) | second term

Mechatronics is the multi-disciplinary design of electro-mechanical systems. This course is intended to give the student a basic introduction to such systems. The course will focus on the implementations of sensor and actuator systems, the mechanical devices involved and the electrical circuits needed to interface with them. The class will consist of lectures and short labs where the student will be able to investigate the concepts discussed in lecture. Topics covered include motors, piezoelectric devices, light sensors, ultrasonic transducers, and navigational sensors such as accelerometers and gyroscopes. Graded pass/fail.

Instructor: George

APh/EE 9 ab

Solid-State Electronics for Integrated Circuits

6 units (2-2-2) | first, third terms

Prerequisites: Successful completion of APh/EE 9 a is a prerequisite for enrollment in APh/EE 9 b.

Introduction to solid-state electronics, including physical modeling and device fabrication. Topics: semiconductor crystal growth and device fabrication technology, carrier modeling, doping, generation and recombination, pn junction diodes, MOS capacitor and MOS transistor operation, and deviations from ideal behavior. Laboratory includes computer-aided layout, and fabrication and testing of light-emitting diodes, transistors, and inverters. Students learn photolithography, and use of vacuum systems, furnaces, and device-testing equipment.

Instructor: Scherer

EE 40

Introduction to Semiconductors Devices

9 units (3-0-6) | third term

Prerequisites: APh/EE 9 ab, Ma 2, Ph 2.

This course provides an introduction to semiconductors and semiconductor sensors. The fundamental physics of semiconductor electronics and devices will be emphasized, together with their applications. Overview of electronic properties of semiconductor that are significant to device operation for integrated circuits. Silicon device fabrication technology. Metal-semiconductor contacts, p-n junctions, bipolar transistors, photoconductors, diodes, transistors, CCDs, MOS/MOSFET/CMOS imagers, temperature sensors, magnetic sensors, thermoelectricity, piezoresistivity, piezoelectrics, etc.

Instructor: Choo

EE 44

Circuits and Systems

12 units (4-0-8) | first term

Prerequisites: Ph1 abc, should be taken concurrently with Ma 2 and Ph 2 a.

Fundamentals of circuits and network theory, circuit elements, linear circuits, terminals and port presentation, nodal and mesh analysis, time-domain analysis of circuits and systems, sinusoidal response, introductory frequency domain analysis, transfer functions, poles and zeros, time and transfer constants, network theorems, transformers.

Instructor: Hajimiri

EE 45

Electronics Laboratory

12 units (3-3-6) | second term

Prerequisites: EE 44.

Fundamentals of electronic circuits and systems. Lectures on diodes, transistors, small-signal analysis, frequency- domain analysis, application of Laplace transform, gain stages, differential signaling, operational amplifiers, introduction to radio and analog communication systems. Laboratory sessions on transient response, steady-state sinusoidal response and phasors, diodes, transistors, amplifiers.

Instructor: Emami

EE/CS 51

Principles of Microprocessor Systems

12 units (4-5-3) | first term

The principles and design of microprocessor-based computer systems. Lectures cover both hardware and software aspects of microprocessor system design such as interfacing to input and output devices, user interface design, real-time systems, and table-driven software. The homework emphasis is on software development, especially interfacing with hardware, in assembly language.

Instructor: George

EE/CS 52 ab

Microprocessor Systems Laboratory

9 units (3-6-0) second term | 6 units (1-5-0) third term

Prerequisites: EE/CS 51 or equivalent. The student will design, build, and program a specified microprocessor-based system. This structured laboratory is organized to familiarize the student with electronic circuit construction techniques, modern development facilities, and standard design techniques. The lectures cover topics in microprocessor system design such as display technologies, interfacing with analog systems, and programming microprocessors in high-level languages.

Instructor: George

EE/CS 53

Microprocessor Project Laboratory

12 units (0-12-0) | first, second, third terms

Prerequisites: EE/CS 52 ab or equivalent.

A project laboratory to permit the student to select, design, and build a microprocessor-based system. The student is expected to take a project from proposal through design and implementation (possibly including PCB fabrication) to final review and documentation. May be repeated for credit.

Instructor: George

CS/EE/ME 75 abc

Introduction to Multidisciplinary Systems Engineering

3 units (2-0-1) , 6 units (2-0-4), or 9 units (2-0-7) first term | 6 units (2-3-1), 9 units (2-6-1), or 12 units (2-9-1) second term

This course presents the fundamentals of modern multidisciplinary systems engineering in the context of a substantial design project. Students from a variety of disciplines will conceive, design, implement, and operate a system involving electrical, information, and mechanical engineering components. Specific tools will be provided for setting project goals and objectives, managing interfaces between component subsystems, working in design teams, and tracking progress against tasks. Students will be expected to apply knowledge from other courses at Caltech in designing and implementing specific subsystems. During the first two terms of the course, students will attend project meetings and learn some basic tools for project design, while taking courses in CS, EE, and ME that are related to the course project. During the third term, the entire team will build, document, and demonstrate the course design project, which will differ from year to year. Freshmen must receive permission from the lead instructor to enroll.

Instructors: Blanquart, Murray

EE 80 abc

Senior Thesis

9 units | first, second, third terms

Prerequisites: instructor's permission, which should be obtained during the junior year to allow sufficient time for planning the research.

Individual research project, carried out under the supervision of a member of the electrical engineering or computer science faculty. Project must include significant design effort. Written report required. Open only to senior electrical engineering, computer science, or electrical and computer engineering majors. Not offered on a pass/fail basis.

Instructor: Potter

EE 90

Analog Electronics Project Laboratory

9 units (1-8-0) | third term

Prerequisites: EE 40 and EE 45.

A structured laboratory course that gives the student the opportunity to design and build a simple analog electronics project. The goal is to gain familiarity with circuit design and construction, component selection, CAD support, and debugging techniques.

Instructor: Megdal

EE 91 ab

Experimental Projects in Electronic Circuits

Units by arrangement; first, second terms | 12 units minimum each term

Prerequisites: EE 45. Recommended: EE/CS 51 and 52, and EE 114 ab (may be taken concurrently). Open to seniors; others only with instructor's permission.

An opportunity to do advanced original projects in analog or digital electronics and electronic circuits. Selection of significant projects, the engineering approach, modern electronic techniques, demonstration and review of a finished product. DSP/microprocessor development support and analog/digital CAD facilities available. Text: literature references.

Instructor: Megdal

EE 99

Advanced Work in Electrical Engineering

Units to be arranged

Special problems relating to electrical engineering will be arranged. For undergraduates; students should consult with their advisers. Graded pass/fail.

EE 105 abc

Electrical Engineering Seminar

1 unit | first, second, third terms

All candidates for the M.S. degree in electrical engineering are required to attend any graduate seminar in any division each week of each term. Graded pass/fail.

Instructor: Hajimiri

EST/EE/ME 109

Energy Technology and Policy

9 units (3-0-6) | first term

Prerequisites: Ph 1 abc, Ch 1 ab and Ma 1 abc.

A discussion of how energy technology interacts with government policy. Renewable sources and the electricity grid. The shale gas revolution and fracking impacts. Electric vehicles and car mileage standards. Coal mining by mountaintop removal and pollution. Peak oil and the debate on limits to growth. Resource models and climate-change policy. Not offered 2016-17.

Instructor: Rutledge

EE 111

Signal-Processing Systems and Transforms

9 units (3-0-6) | first term

Prerequisites: Ma 1.

An introduction to continuous and discrete time signals and systems with emphasis on digital signal processing systems. Study of the Fourier transform, Fourier series, z-transforms, and the fast Fourier transform as applied in electrical engineering. Sampling theorems for continuous to discrete-time conversion. Difference equations for digital signal processing systems, digital system realizations with block diagrams, analysis of transient and steady state responses, and connections to other areas in science and engineering.

Instructor: Vaidyanathan

EE 112

Introduction to Digital Signal Processing

9 units (3-0-6) | second term

Prerequisites: EE 111 or equivalent. Math 3 recommended.

Fundamentals of digital signal processing, digital filtering, recursive and non recursive filters, linear phase and minimum phase systems, digital filter structures, allpass filters and applications, quantization and stability analysis, round-off noise calculations, Nyquist and sub-Nyquist sampling, elements of multrirate signal processing, reconstruction of sparsely sampled signals, statistical signal processing and sensor array signal processing, and applications in various areas. . Offered 2015-16.

Instructor: Vaidyanathan

EE 113

Feedback and Control Circuits

9 units (3-3-3) | third term

Prerequisites: EE 45 or equivalent.

This class studies the design and implementation of feedback and control circuits. The course begins with an introduction to basic feedback circuits, using both op amps and transistors. These circuits are used to study feedback principles, including circuit topologies, stability, and compensation. Following this, basic control techniques and circuits are studied, including PID (Proportional-Integrated-Derivative) control, digital control, and fuzzy control. There is a significant laboratory component to this course, in which the student will be expected to design, build, analyze, test, and measure the circuits and systems discussed in the lectures.

Instructor: George

EE/MedE 114 ab

Analog Circuit Design

12 units (4-0-8) | second, third terms

Prerequisites: EE 44 or equivalent.

Analysis and design of analog circuits at the transistor level. Emphasis on design-oriented analysis, quantitative performance measures, and practical circuit limitations. Circuit performance evaluated by hand calculations and computer simulations. Recommended for juniors, seniors, and graduate students. Topics include: review of physics of bipolar and MOS transistors, low-frequency behavior of single-stage and multistage amplifiers, current sources, active loads, differential amplifiers, operational amplifiers, high-frequency circuit analysis using time- and transfer constants, high-frequency response of amplifiers, feedback in electronic circuits, stability of feedback amplifiers, and noise in electronic circuits, and supply and temperature independent biasing. A number of the following topics will be covered each year: trans-linear circuits, switched capacitor circuits, data conversion circuits (A/D and D/A), continuous-time Gm.C filters, phase locked loops, oscillators, and modulators. Offered 2015-16.

Instructor: Hajimiri

EE/MedE 115

Micro-/Nano-scales Electro-Optics

9 units (3-0-6) | first term

Prerequisites: Introductory electromagnetic class and consent of the instructor.

The course will cover various electro-optical phenomena and devices in the micro-/nano-scales. We will discuss basic properties of light, imaging, aberrations, eyes, detectors, lasers, micro-optical components and systems, scalar diffraction theory, interference/interferometers, holography, dielectric/plasmonic waveguides, and various Raman techniques. Topics may vary. Not offered 2015-16.

Ph/APh/EE/BE 118 ab

Physics of Measurement

9 units (3-0-6) | first and second terms

Prerequisites: Ph127, APh 105, or equivalent, or permission from instructor.

This course focuses on exploring the fundamental underpinnings of experimental measurements from the perspectives of responsivity, noise, backaction, and information. Its overarching goal is to enable students to critically evaluate real measurement systems, and to determine the ultimate fundamental and practical limits to information that can be extracted from them. Topics will include physical signal transduction and responsivity, fundamental noise processes, modulation, frequency conversion, synchronous detection, signal-sampling techniques, digitization, signal transforms, spectral analyses, and correlations. The first term will cover the essential fundamental underpinnings, while topics in second term will include examples from optical methods, high-frequency and fast temporal measurements, biological interfaces, signal transduction, biosensing, and measurements at the quantum limit.

Instructor: Roukes

Ph/APh/EE/BE 118 c

Physics of Measurement

9 units (3-0-6) | third terms

Prerequisites: Ph127, APh 105, or equivalent, or permission from instructor.

Ph118c will focus on the physical principles and applications of several important measurement techniques to modern condensed matter physics research. The course will begin with an introduction of the concept of self-energy and Green function techniques in the descriptions of many-body interactions. Several representative experimental techniques for investigating important physical properties of many-body systems will be discussed, followed by explicit examples for their applications to condensed matter physics research. The measurement techniques will include scanning probe microscopy, angle-resolved photoemission spectroscopy, optical measurements, and thermodynamic and electrical transport measurements.

Instructor: Yeh

EE 119 abc

Advanced Digital Systems Design

9 units (3-3-3) first, second term | 9 units (1-8-0) third term

Prerequisites: EE/CS 52 ab or CS/EE 181 a or CS 24.

Advanced digital design as it applies to the design of systems using PLDs and ASICs (in particular, gate arrays and standard cells). The course covers both design and implementation details of various systems and logic device technologies. The emphasis is on the practical aspects of ASIC design, such as timing, testing, and fault grading. Topics include synchronous design, state machine design, ALU and CPU design, application-specific parallel computer design, design for testability, PALs, FPGAs, VHDL, standard cells, timing analysis, fault vectors, and fault grading. Students are expected to design and implement both systems discussed in the class as well as self-proposed systems using a variety of technologies and tools. Not offered 2015-16.

EE 120

Topics in Information Theory

9 units (3-0-6) | third term

This class introduces information measures such as entropy, information divergence, mutual information, information density from a probabilistic point of view, and discusses the relations of those quantities to problems in data compression and transmission, statistical inference, language modeling, game theory and control. Topics include information projection, data processing inequalities, sufficient statistics, hypothesis testing, single-shot approach in information theory, large deviations. Prerequisites: undergraduate calculus and probability; desirable but not required: EE126a.

Instructor: Kostina

EE/MedE 124

Mixed-mode Integrated Circuits

9 units (3-0-6) | first term

Prerequisites: EE 45 a or equivalent.

Introduction to selected topics in mixed-signal circuits and systems in highly scaled CMOS technologies. Design challenges and limitations in current and future technologies will be discussed through topics such as clocking (PLLs and DLLs), clock distribution networks, sampling circuits, high-speed transceivers, timing recovery techniques, equalization, monitor circuits, power delivery, and converters (A/D and D/A). A design project is an integral part of the course.

Instructor: Emami

EE 125

Digital Electronics and Design with FPGAs and VHDL

9 units (3-6-0) | second term

Prerequisites: basic knowledge of digital electronics.

Study of programmable logic devices (CPLDs and FPGAs). Detailed study of the VHDL language, with basic and advanced applications. Review and discussion of digital design principles for combinational-logic, combinational-arithmetic, sequential, and state-machine circuits. Detailed tutorials for synthesis and simulation tools using FPGAs and VHDL. Wide selection of complete, real-world fundamental advanced projects, including theory, design, simulation, and physical implementation. All designs are implemented using state-of-the-art development boards. Offered 2015-16.

Instructor: Pedroni

EE/Ma/CS 126 ab

Information Theory

9 units (3-0-6) | first, second terms

Prerequisites: Ma 2.

Shannon's mathematical theory of communication, 1948-present. Entropy, relative entropy, and mutual information for discrete and continuous random variables. Shannon's source and channel coding theorems. Mathematical models for information sources and communication channels, including memoryless, first- order Markov, ergodic, and Gaussian. Calculation of capacity and rate-distortion functions. Kolmogorov complexity and universal source codes. Side information in source coding and communications. Network information theory, including multiuser data compression, multiple access channels, broadcast channels, and multiterminal networks. Discussion of philosophical and practical implications of the theory. This course, when combined with EE 112, EE/Ma/CS 127, EE 161, and/or EE 167 should prepare the student for research in information theory, coding theory, wireless communications, and/or data compression.

Instructor: Effros

EE/Ma/CS 127

Error-Correcting Codes

9 units (3-0-6) | second term

Prerequisites: Ma 2.

This course develops from first principles the theory and practical implementation of the most important techniques for combating errors in digital transmission or storage systems. Topics include algebraic block codes, e.g., Hamming, BCH, Reed-Solomon (including a self-contained introduction to the theory of finite fields); and the modern theory of sparse graph codes with iterative decoding, e.g. LDPC codes, turbo codes, fountain coding. Emphasis will be placed on the associated encoding and decoding algorithms, and students will be asked to demonstrate their understanding with a software project.

Instructor: Kostina

EE 128 ab

Selected Topics in Digital Signal Processing

9 units (3-0-6) | second, third terms

Prerequisites: EE 111 and EE 160 or equivalent required, and EE 112 or equivalent recommended.

The course focuses on several important topics that are basic to modern signal processing. Topics include multirate signal processing material such as decimation, interpolation, filter banks, polyphase filtering, advanced filtering structures and nonuniform sampling, optimal statistical signal processing material such as linear prediction and antenna array processing, and signal processing for communication including optimal transceivers. Not offered 2015-16.

CS/EE/Ma 129 abc

Information and Complexity

9 units (3-0-6), first and second terms | (1-4-4) third term

Prerequisites: basic knowledge of probability and discrete mathematics.

A basic course in information theory and computational complexity with emphasis on fundamental concepts and tools that equip the student for research and provide a foundation for pattern recognition and learning theory. First term: what information is and what computation is; entropy, source coding, Turing machines, uncomputability. Second term: topics in information and complexity; Kolmogorov complexity, channel coding, circuit complexity, NP-completeness. Third term: theoretical and experimental projects on current research topics. Not offered 2015-16.

APh/EE 130

Electromagnetic Theory

9 units (3-0-6) | first term

Electromagnetic fields in vacuum: microscopic Maxwell's equations. Monochromatic fields: Rayleigh diffraction formulae, Huyghens principle, Rayleigh-Sommerfeld formula. The Fresnel-Fraunhofer approximation. Electromagnetic field in the presence of matter, spatial averages, macroscopic Maxwell equations. Helmholtz's equation. Group-velocity and group-velocity dispersion. Confined propagation, optical resonators, optical waveguides. Single mode and multimode waveguides. Nonlinear optics. Nonlinear propagation. Second harmonic generation. Parametric amplification.

Instructor: Crosignani

EE/APh 131

Light Interaction with Atomic Systems - Lasers

9 units (3-0-6) | second term

Prerequisites: APh/EE 130.

Light-matter interaction, spontaneous and induced transitions in atoms and semiconductors. Absorption, amplification, and dispersion of light in atomic media. Principles of laser oscillation, generic types of lasers including semiconductor lasers, mode-locked lasers. Frequency combs in lasers. The spectral properties and coherence of laser light.

Instructor: Yariv

APh/EE 132

Special Topics in Photonics and Optoelectronics

9 units (3-0-6) | third term

Interaction of light and matter, spontaneous and stimulated emission, laser rate equations, mode-locking, Q-switching, semiconductor lasers. Optical detectors and amplifiers; noise characterization of optoelectronic devices. Propagation of light in crystals, electro-optic effects and their use in modulation of light; introduction to nonlinear optics. Optical properties of nanostructures. Not offered 2015-2016.

EE/CS/EST 135

Power System Analysis

9 units (3-3-3) | second term

Prerequisites: EE 44, Ma 2, or equivalent.

Phasor representation, 3-phase transmission system, per-phase analysis; power system modeling, transmission line, transformer, generator; network matrix, power flow solution, optimal power flow; Swing equation, stability, protection; demand response, power markets.

Instructor: Low

CS/EE 143

Communication Networks

9 units (3-3-3) | first term

Prerequisites: Ma 2, Ma 3, CS 24 and CS 38, or instructor permission.

This course introduces the basic mechanisms and protocols in communication networks, and mathematical models for their analysis. It covers topics such as digitization, switching, switch design, routing, error control (ARQ), congestion control, layering, queuing models, optimization models, basics of protocols in the Internet, wireless networks, and optical networks.

Instructor: Low

CMS/CS/EE 144

Networks: Structure Economics

12 units (3-3-6) | second term

Prerequisites: Ma 2, Ma 3, Ma/CS 6a, and CS 38, or instructor permission.

Social networks, the web, and the internet are essential parts of our lives and we all depend on them every day, but do you really know what makes them work?This course studies the "big" ideas behind our networked lives. Things like, what do networks actually look like (and why do they all look the same)? How do search engines work? Why do memes spread the way they do? How does web advertising work? For all these questions and more, the course will provide a mixture of both mathematical analysis and hands-on labs. The course assumes students are comfortable with graph theory, probability, and basic programming.

Instructor: Wierman

CS/EE 145

Projects in Networking

9 units (0-0-9) | third term

Prerequisites: Either CMS/CS/EE 144 or CS 141 b in the preceding term, or instructor permission.

Students are expected to execute a substantial project in networking, write up a report describing their work, and make a presentation.

Instructor: Wierman

CS/EE 146

Advanced Networking

9 units (3-3-3) | third term

Prerequisites: CS/EE 143 or instructor's permission.

This is a research-oriented course meant for undergraduates and beginning graduate students who want to learn about current research topics in networks such as the Internet, power networks, social networks, etc. The topics covered in the course will vary, but will be pulled from current research topics in the design, analysis, control, and optimization of networks, protocols, and Internet applications. Usually offered in alternate years. Not offered 2015-16.

EE/CNS/CS 148

Selected Topics in Computational Vision

9 units (3-0-6) | third term

Prerequisites: undergraduate calculus, linear algebra, geometry, statistics, computer programming.

The class will focus on an advanced topic in computational vision: recognition, vision-based navigation, 3-D reconstruction. The class will include a tutorial introduction to the topic, an exploration of relevant recent literature, and a project involving the design, implementation, and testing of a vision system.

Instructor: Perona

EE 150

Topics in Electrical Engineering

Units to be arranged | terms to be arranged

Content will vary from year to year, at a level suitable for advanced undergraduate or beginning graduate students. Topics will be chosen according to the interests of students and staff. Visiting faculty may present all or portions of this course from time to time.

Instructor: Staff

EE 151

Electromagnetic Engineering

9 units (3-0-6) | third term

Prerequisites: EE 45.

Foundations of circuit theory-electric fields, magnetic fields, transmission lines, and Maxwell's equations, with engineering applications.

Instructor: Yang

EE 153

Microwave Circuits and Antennas

12 units (3-2-7) | third term

Prerequisites: EE 45.

High-speed circuits for wireless communications, radar, and broadcasting. Design, fabrication, and measurements of microstrip filters, directional couplers, low-noise amplifiers, oscillators, detectors, and mixers. Design, fabrication, and measurements of wire antennas and arrays.

Instructor: Antsos

CMS/CS/CNS/EE 155

Machine Learning Data Mining

12 units (3-3-6) | second term

Prerequisites: background in algorithms and statistics (CS/CNS/EE/NB 154 or CS/CNS/EE 156 a or instructor's permission).

This course will cover popular methods in machine learning and data mining, with an emphasis on developing a working understanding of how to apply these methods in practice. This course will also cover core foundational concepts underpinning and motivating modern machine learning and data mining approaches. This course will be research-oriented, and will cover recent research developments.

Instructor: Yue

CS/CNS/EE 156 ab

Learning Systems

9 units (3-0-6) | first, third terms

Prerequisites: Ma 2 and CS 2, or equivalent.

Introduction to the theory, algorithms, and applications of automated learning. How much information is needed to learn a task, how much computation is involved, and how it can be accomplished. Special emphasis will be given to unifying the different approaches to the subject coming from statistics, function approximation, optimization, pattern recognition, and neural networks. Not offered 2015-16.

EE/Ae 157 ab

Introduction to the Physics of Remote Sensing

9 units (3-0-6) | first, second terms

Prerequisites: Ph 2 or equivalent.

An overview of the physics behind space remote sensing instruments. Topics include the interaction of electromagnetic waves with natural surfaces, including scattering of microwaves, microwave and thermal emission from atmospheres and surfaces, and spectral reflection from natural surfaces and atmospheres in the near-infrared and visible regions of the spectrum. The class also discusses the design of modern space sensors and associated technology, including sensor design, new observation techniques, ongoing developments, and data interpretation. Examples of applications and instrumentation in geology, planetology, oceanography, astronomy, and atmospheric research.

Instructor: van Zyl

Ge/EE/ESE 157 c

Remote Sensing for Environmental and Geological Applications

9 units (3-3-3) | third term

Use of different parts of the electromagnetic spectrum (visible, ultraviolet, infrared, and radio wavelengths) for interpretation of physical and chemical characteristics of the surfaces of Earth and other planets. Topics: interaction of light with materials, spectroscopy of minerals and vegetation, atmospheric removal, image analysis, classification, and multi-temporal studies. This course is complementary to EE 157ab with additional emphasis on applications for geological and environmental problems, using data acquired from airborne and orbiting remote sensing platforms. Students will work with digital remote sensing datasets in the laboratory and there will be one field trip.

Instructor: Ehlmann

CS/CNS/EE 159

Advanced Topics in Machine Learning

9 units (3-0-6) | third term

Prerequisites: CS 155; strong background in statistics, probability theory, algorithms, and linear algebra; background in optimization is a plus as well.

This course focuses on current topics in machine learning research. This is a paper reading course, and students are expected to understand material directly from research articles. Students are also expected to present in class, and to do a final project.

Instructor: Yue

EE 160

Random Variables and Stochastic Processes

9 units (3-0-6) | first term

Prerequisites: Math 2, Math 3.

Introduction to fundamental ideas and techniques of stochastic analysis. Random variables, expectation and conditional expectation, joint distributions, covariance, moment generating functions, central limit theorem, weak and strong laws of large numbers, discrete time stochastic processes, stationarity, power spectral densities, Gaussian processes, Poisson processes. The course develops applications in areas such as communication, signal processing, networks and queues.

Instructor: Hassibi

EE 161

Wireless Communications

9 units (3-0-6) | third term

Prerequisites: EE 160.

This course will cover the fundamentals of wireless channels and channel models, wireless communication techniques, and wireless networks. Topics include statistical models for time-varying narrowband and wideband channels, fading models for indoor and outdoor systems, macro- and microcellular system design, channel access and spectrum sharing using TDMA, FDMA, and CDMA, time-varying channel capacity and spectral efficiency, modulation and coding for wireless channels, antenna arrays, diversity combining and multiuser detection, dynamic channel allocation, and wireless network architectures and protocols. Given in alternate years. Not offered 2015-16.

EE 163 ab

Communication Theory

9 units (3-0-6) | second, third terms

Prerequisites: EE 111; ACM/EE 116 or equivalent.

Mathematical models of communication processes; signals and noise as random processes; sampling; modulation; spectral occupancy; intersymbol interference; synchronization; optimum demodulation and detection; signal-to-noise ratio and error probability in digital baseband and carrier communication systems; linear and adaptive equalization; maximum likelihood sequence estimation; multipath channels; parameter estimation; hypothesis testing; optical communication systems. Part a offered 2015-16; Part b not offered 2015-16.

Instructor: Staff

EE 164

Stochastic and Adaptive Signal Processing

9 units (3-0-6) | third term

Prerequisites: ACM/EE 116 or equivalent.

Fundamentals of linear estimation theory are studied, with applications to stochastic and adaptive signal processing. Topics include deterministic and stochastic least-squares estimation, the innovations process, Wiener filtering and spectral factorization, state-space structure and Kalman filters, array and fast array algorithms, displacement structure and fast algorithms, robust estimation theory and LMS and RLS adaptive fields. Given in alternate years; offered 2015-16.

Instructor: Hassibi

EE/BE/MedE 166

Optical Methods for Biomedical Imaging and Diagnosis

9 units (3-1-5) | third term

Prerequisites: EE 151 or equivalent.

Topics include Fourier optics, scattering theories, shot noise limit, energy transitions associated with fluorescence, phosphorescence, and Raman emissions. Study of coherent anti-Stokes Raman spectroscopy (CARS), second harmonic generation and near-field excitation. Scattering, absorption, fluorescence, and other optical properties of biological tissues and the changes in these properties during cancer progression, burn injury, etc. Specific optical technologies employed for biomedical research and clinical applications: optical coherence tomography, Raman spectroscopy, photon migration, acousto-optics (and opto-acoustics) imaging, two-photon fluorescence microscopy, and second- and third-harmonic microscopy. Given in alternate years; not offered 2015-16.

EE 167

Data Compression

9 units (3-0-6) | third term

Prerequisites: EE/Ma 126 or instructor's permission.

An introduction to the basic results, both theoretical and practical, of data compression. Review of relevant background from information theory. Fixed model and adaptive Huffman and arithmetic codes. The Lempel-Ziv algorithm and its variants. Scalar and vector quantization, including the Lloyd-Max quantizers, and the generalized Lloyd algorithm. Transform coding. Karhuenen-Loeve and discrete cosine transforms. The bit allocation problem. Subband coding. Practical algorithms for image and video compression. Not offered 2015-16.

ACM/EE 170

Mathematics of Signal Processing

12 units (3-0-9) | third term

Prerequisites: CMS/ACM 104, CMS/ACM 113, and CMS/ACM 116; or instructor's permission.

This course covers classical and modern approaches to problems in signal processing. Problems may include denoising, deconvolution, spectral estimation, direction-of-arrival estimation, array processing, independent component analysis, system identification, filter design, and transform coding. Methods rely heavily on linear algebra, convex optimization, and stochastic modeling. In particular, the class will cover techniques based on least-squares and on sparse modeling. Throughout the course, a computational viewpoint will be emphasized. Not offered 2015-16.

EE/APh 180

Nanotechnology

6 units (3-0-3) | first term

This course will explore the techniques and applications of nanofabrication and miniaturization of devices to the smallest scale. It will be focused on the understanding of the technology of miniaturization, its history and present trends towards building devices and structures on the nanometer scale. Examples of applications of nanotechnology in the electronics, communications, data storage and sensing world will be described, and the underlying physics as well as limitations of the present technology will be discussed.

Instructor: Scherer

CS/EE 181 abc

VLSI Design Laboratory

12 units (3-6-3) | first, second terms

Digital integrated system design, with projects involving the design, verification, and testing of high-complexity CMOS microcircuits. First-term lecture and homework topics emphasize disciplined design, and include CMOS logic, layout, and timing; computer-aided design and analysis tools; and electrical and performance considerations. Each student is required in the first term to complete individually the design, layout, and verification of a moderately complex integrated circuit. Advanced topics second and third terms include self-timed design, computer architecture, and other topics that vary year by year. Projects are large-scale designs done by teams. Not offered 2015-16.

APh/EE 183

Physics of Semiconductors and Semiconductor Devices

9 units (3-0-6) | third term

Principles of semiconductor electronic structure, carrier transport properties, and optoelectronic properties relevant to semiconductor device physics. Fundamental performance aspects of basic and advanced semiconductor electronic and optoelectronic devices. Topics include energy band theory, carrier generation and recombination mechanisms, quasi-Fermi levels, carrier drift and diffusion transport, quantum transport.

Instructor: Atwater

EE/BE/MedE 185

MEMS Technology and Devices

9 units (3-0-6) | third term

Prerequisites: APh/EE 9 ab, or instructor's permission.

Micro-electro-mechanical systems (MEMS) have been broadly used for biochemical, medical, RF, and lab-on-a-chip applications. This course will cover both MEMS technologies (e.g., micro- and nanofabrication) and devices. For example, MEMS technologies include anisotropic wet etching, RIE, deep RIE, micro/nano molding and advanced packaging. This course will also cover various MEMS devices used in microsensors and actuators. Examples will include pressure sensors, accelerometers, gyros, FR filters, digital mirrors, microfluidics, micro total-analysis system, biomedical implants, etc. Not offered 2015-16.

CNS/Bi/EE/CS/NB 186

Vision: From Computational Theory to Neuronal Mechanisms

12 units (4-4-4) | second term

Lecture, laboratory, and project course aimed at understanding visual information processing, in both machines and the mammalian visual system. The course will emphasize an interdisciplinary approach aimed at understanding vision at several levels: computational theory, algorithms, psychophysics, and hardware (i.e., neuroanatomy and neurophysiology of the mammalian visual system). The course will focus on early vision processes, in particular motion analysis, binocular stereo, brightness, color and texture analysis, visual attention and boundary detection. Students will be required to hand in approximately three homework assignments as well as complete one project integrating aspects of mathematical analysis, modeling, physiology, psychophysics, and engineering. Given in alternate years; offered 2015-16.

EE/MedE 187

VLSI and ULSI Technology

9 units (3-0-6) | third term

Prerequisites: APh/EE 9 ab, EE/APh 180 or instructor's permission.

This course is designed to cover the state-of-the-art micro/nanotechnologies for the fabrication of ULSI including BJT, CMOS, and BiCMOS. Technologies include lithography, diffusion, ion implantation, oxidation, plasma deposition and etching, etc. Topics also include the use of chemistry, thermal dynamics, mechanics, and physics. Not offered 2015-16.

BE/EE/MedE 189 ab

Design and Construction of Biodevices

12 units (3-6-3) a = first and second terms | 9 units (0-9-0) b = second term

Prerequisites: ACM 95 ab (for BE/EE/MedE 189 a); BE/EE/MedE 189 a (for BE/EE/MedE 189 b).

Part a, students will design and implement biosensing systems, including a pulse monitor, a pulse oximeter, and a real-time polymerase-chain-reaction incubator. Students will learn to program in LABVIEW. Part b is a student-initiated design project requiring instructor's permission for enrollment. Enrollment is limited to 24 students. BE/EE/MedE 189 a is an option requirement; BE/EE/MedE 189 b is not.

Instructor: Yang

ACM/CS/EE 218

Statistical Inference

9 units (3-0-6) | third term

Prerequisites: CMS/ACM 104 and CMS/ACM/EE 116, or instructor's permission.

Fundamentals of estimation theory and hypothesis testing; Bayesian and non-Bayesian approaches; minimax analysis, Cramer-Rao bounds, shrinkage in high dimensions; Kalman filtering, basics of graphical models; statistical model selection. Throughout the course, a computational viewpoint will be emphasized. Not offered 2015-16.

EE 226

Advanced Information and Coding Theory

9 units (3-0-6) | first term

A selection of topics in information theory and coding theory not normally covered in EE/Ma 126 ab or EE/Ma/CS 127. These topics include constrained noiseless codes, constructive coding theorems for erasure channels, density evolution, repeat-accumulate and related codes, and network coding. Not offered 2015-16.

EE 243

Special Topics in Laser Physics and Quantum Electronics

6 units (3-0-3) | third term

The course will cover advanced topics in laser physics and quantum electronics including: Quantum Noise, Coherence, New Resonator concepts, and applications to ultra high speed optical communication, sensing and metrology. The final examination will be in the form of an individualized study assignment.

Instructor: Yariv

EE 291

Advanced Work in Electrical Engineering

Units to be arranged

Special problems relating to electrical engineering. Primarily for graduate students; students should consult with their advisers.

Published Date: July 28, 2022