Graduate

ECE 200 Research and Teaching in Electrical Engineering

Basic teaching techniques for TAs: responsibilities and rights, resource materials, computer security, leading discussion or lab sessions, presentations techniques, maintaining class records, electronic handling of homework, and grading. Examines research and professional training: use of library and online databases, technical typesetting, writing journal and conference papers, publishing, giving talks, and ethical issues. (Formerly EE 200.)

Credits

3

Requirements

Enrollment is restricted to graduate students.

ECE 201 Introduction to Nanotechnology

Introduction to underlying principles of nanoscience and nanotechnology. Intended for multidisciplinary audience with a variety of backgrounds. Introduces scientific principles and laws relevant on the nanoscale. Discusses applications in engineering, physics, chemistry, and biology. (Formerly EE 211.)

Credits

5

Instructor

Holger Schmidt, Marco Rolandi, The Staff

Requirements

Prerequisite(s): ECE 102 or consent of instructor.

Quarter offered

Fall

ECE 203 Nanocharacterization of Materials

Covers the many characterization techniques used to characterize materials from volumes less than one cubic micrometer, including the basic physics of each method, the methodology used to get quantitative results, and the advantages and limitations of each technique. (Formerly EE 213.)

Credits

5

Requirements

Enrollment restricted to graduate students, or to undergraduates majoring in engineering or science by permission of instructor.

ECE 204 Bioelectronics

Covers selected case studies in interfacing electronic devices with biological systems from Galvani to neuronal stimulation and electroceuticals. Studies include: the squid giant axon, the pacemaker, deep-brain stimulation, organic bioelectronics, bionanoelectronics and optogenetics, bioenergetics, and bioprotonics electroceuticals. Students are assessed through weekly papers on case studies and through a final presentation. (Formerly EE 204.)

Credits

5

Instructor

Marco Rolandi

Requirements

Enrollment is restricted to graduate students.

ECE 205 Fundamentals of Nanoelectronics

Covers microscopic theory of electron transport in nanoelectronic devices and transistors. Topics include: ballistic transport; quantum conductance, NEGF-Landauer formalisms; molecular conductors; graphene and carbon nanotubes, quantum resonant tunneling devices; nanotransistors; and spintronics. (Formerly EE 218.)

Credits

5

Instructor

Ahmet Yanik

Requirements

Prerequisite(s): ECE 201 or ECE 207. Enrollment is restricted to graduate students. Students with background in basic matrix algebra and MATLAB programming may enroll with permission of instructor.

Quarter offered

Winter

ECE 207 Nanomaterials and Nanometer-Scale Devices

Materials controlled at nanometer-scale will revolutionize existing technologies. Course offers opportunities of learning materials that exhibit peculiar physical characteristics at the nanometer scales. Course also includes discussions of unique device architecture based on materials crafted at the nanometer scale. (Formerly EE 216.)

Credits

5

Instructor

Nobuhiko Kobayashi

Quarter offered

Spring

ECE 215 Models of Robotic Manipulation

Theory and application of mathematical models to analyze, design, and program serial kinematic chains (robot arms). Covers models of arbitrary articulated robotic or biological arms and their application to realistic arms and tasks, including the homogeneous coordinate model of positioning tasks; the forward and inverse kinematic models; the Jacobian matrix; trajectory generation;and dynamic models, including Newton-Euler and Lagrangian formulations. (Formerly CMPE 215.)

Credits

5

Instructor

Mircea Teodorescu, Michael Wehner

Requirements

Enrollment is restricted to graduate students; and to seniors who have taken ECE 141, and AM 10 or MATH 21; or by permission of instructor.

Quarter offered

Fall

ECE 216 Bio-Inspired Locomotion

Presents the principles of biological locomotion and application to robotics problems. Students learn about effective movements in the biological world (slithering, walking, climbing, and flying); extract their underlying principles; and apply them creatively to robotics design. (Formerly CMPE 216.)

Credits

5

Instructor

Mircea Teodorescu

Requirements

Prerequisite(s): ECE 9 or equivalent. Enrollment is restricted to graduate students, and seniors by permission of instructor.

Quarter offered

Winter

ECE 218 Mechatronics

 

Examines technologies involved in mechatronics (intelligent electro-mechanical systems)and techniques necessary to integrate these technologies. Topics include electronics (A/D, D/A converters, opamps, filters, power devices), software program design (event-driven programming, state machine-based design), DC and stepper motors, basic sensing, and basic mechanical design (machine elements and mechanical CAD). Students learn how to solve engineering problems using C Programming Language. Combines lab component of structured assignments with a large and open-ended team project. Students cannot receive credit for this course and course 118. Students are billed a materials fee. (Formerly CMPE 218.)

Credits

10

Instructor

Gabriel Elkaim, Maxwell Dunne, Michael Wehner

Requirements

Prerequisite(s): Enrollment is restricted to graduate students.

Quarter offered

Fall, Spring

ECE 221 Advanced Analog Integrated Circuits

Analog integrated circuit design with emphasis on fundamentals of designing linear circuits using CMOS. Covers MOS devices and device modeling, current mirrors, op-amp design, op-amp compensation, comparators, multipliers, voltage references, sample-and-holds, noise, and an introduction to more complicated systems using these building blocks, such as phase locked loops and analog-to-digital converters. If time permits, integrated circuit layout issues and device/circuit fabrication. Students cannot receive credit for this course and course 172. (Formerly EE 221.)

Credits

5

Instructor

Kenneth Pedrotti

Requirements

Prerequisite(s): course ECE 171 or equivalent; ECE 178 or equivalent recommended.

Quarter offered

Fall

ECE 222 High-Speed Low-Power Integrated Circuit Design

Digital integrated circuit design covered with an emphasis on high-speed and low-power applications. Covers signaling techniques and circuits including transmitters and receivers, with emphasis on on-chip interconnect, timing fundamentals and timing circuits. Theoretical fundamentals of phase locked loops and design issues of implementation addressed. Course has a project design component. Interview to assess technical skills of student. Enrollment is restricted to electrical engineering and computer engineering graduate students. (Formerly EE 222.)

Credits

5

Instructor

Sung Kang

Repeatable for credit

Yes

Quarter offered

Fall

ECE 223 Advanced Solid-State Devices

Solid-state devices advance rapidly by employing new materials, new architecture, and new functional principles. Class offers opportunities to learn the latest advancements in solid-state devices (e.g., electronic, optoelectronic, photonic devices, and smart sensors) viewed from various scientific, technological, and engineering aspects, such as energy conversion and computation. (Formerly EE 223.)

Credits

5

ECE 224 Device Electronics

Reviews the fundamentals of semiconductors and then explores the structure, design, and operation of the most important and widely used semiconductor devices. Topics include the motion of charge carriers in solids, equilibrium statistics, the electronic structure of solids, doping, the pn junction, the junction transistor, the Schottky diode, field-effect transistor, the light-emitting diode, and the photodiode.

Credits

5

Instructor

Kenneth Pedrotti, Nobuhiko Kobayashi

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Spring

ECE 225 Semiconductor Processing and Bandgap Engineering

Addresses principles of semiconductor processing with applications for semiconductor materials engineering, research, and development. The materials fabrication and processing topics include preparation of silicon, III-V compounds, and dielectric thin films, including thin film deposition techniques, diffusion, ion implantation, and standard device fabrication sequences. Applications of these processing principles for semiconductor materials engineering and bandgap engineering in semiconductor heterostructures are discussed for devices, such as LEDs, lasers, photoreceptors, modulators, and high-speed transistors.

Credits

5

Instructor

Michael Oye

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Winter

ECE 226 CMOS Radio Frequency Integrated Circuit Design

Covers narrowband and high-frequency techniques, noise, distortion, nonlinearities, low-noise amplifiers, power amplifiers, mixers, receivers, and transmitters for wireless communications. Topics are presented in the context of integrated designs in CMOS, but topics are fundamental and widely applicable. (Formerly EE 226.)

Credits

5

Instructor

Steve Kang, Ken Pedrotti

Requirements

Prerequisite(s): ECE 172 or ECE 221 or permission of instructor.

ECE 227 Fundamentals of Semiconductor Physics

Semiconductor physics is examined for advanced new materials and devices. Discusses how familiar concepts are extended to new electronics. Intended for students interested in electrical engineering, physics, and materials science applications. Good familiarity with basic electromagnetism and quantum physics is assumed. (Formerly EE 227.)

Credits

5

Requirements

Enrollment is restricted to graduate students.

ECE 228 Engineering of Thin Film Deposition

Covers key processes to build a coherent picture of the deposition of thin films. Offers an opportunity to implement general computing resources in describing the formation of thin films. The deposition of thin films plays a key role in technology due to their unprecedented physical properties. Their deposition depends on such factors as thermodynamics in the deposition environment and kinetics on the solid surfaces where atoms are assembled; therefore, understanding the fundamental processes involved is important. (Formerly EE 217.)

Credits

5

Instructor

Nobuhiko Kobayashi

Requirements

Students should have a background in solid-state materials that is equivalent to ECE 102. Enrollment is restricted to graduate students.

ECE 229 Quantum Electronics

Covers basic theory of interaction of electromagnetic radiation with resonant atomic transitions and density matrix treatment; and applications including Rabi oscillations, slow light; nonlinear optics; coherent radiation, and noise in photodetectors and lasers. (Formerly EE 232.)

Credits

5

Instructor

The Staff, Toshishige Yamada

Requirements

Prerequisite(s): ECE 231 or equivalent.

ECE 230 Optical Fiber Communication

Components and system design of optical fiber communication. Topics include step-index fibers, graded-index fibers, fiber modes, single-mode fibers, multimode fibers, dispersion, loss mechanics, fiber fabrication, light-emission processes in semiconductors, light-emitting diodes, laser diodes, modulation response, source-fiber coupling, photodetectors, receivers, receiver noise and sensitivity, system design, power budget and rise-time budget, fiber-optic networks (FDDI, SONET, etc.), wavelength division multiplexing (WDM). Students cannot receive credit for this course and course 130. (Formerly EE 230.)

Credits

5

Instructor

Ahmet Yanik

Requirements

Enrollment is restricted to graduate students.

Repeatable for credit

Yes

Quarter offered

Fall

ECE 231 Optical Electronics

Introduction to phenomena, devices, and applications of optoelectronics. Main emphasis is on optical properties of semiconductors and semiconductor lasers. (Formerly EE 231.)

Credits

5

Instructor

Holger Schmidt

Requirements

Prerequisite(s): ECE 102 and ECE 102L.

Repeatable for credit

Yes

ECE 232 Integrated Biophotonics

Covers use of integrated optics for study of biological material; fluorescence spectroscopy, single molecule detection, optical tweezers, layered dielectric media, hollow-core waveguides, photonic crystals, optofluidics, biophotonic systems, and applications. (Formerly EE 236.)

Credits

5

Instructor

Holger Schmidt

Requirements

Prerequisite(s): ECE 233 or equivalent. Enrollment is restricted to graduate students.

Quarter offered

Spring

ECE 236 Optics and Microscopy

Covers the basic principles of optics and microscopy. Topics include geometrical optics, simple ray tracing, diffraction, Fourier optics, image formation in the human eye, the photographic camera, and different types of microscopes. Hands-on experience is provided in laboratories. Requires basic mathematics. (Formerly EE 266.)

Credits

5

Instructor

Sara Abrahamsson

Requirements

Enrollment is restricted to graduate students. Undergraduate students may enroll with permission of the instructor.

Quarter offered

Winter

ECE 237 Image Processing and Reconstruction

Fundamental concepts in digital image processing and reconstruction. Continuous and discrete images; image acquisition, sampling. Linear transformations of images, convolution and superposition. Image enhancement and restoration, spatial and spectral filtering. Temporal image processing: change detection, image registration, motion estimation. Image reconstruction from incomplete data. Applications. (Formerly EE 264.)

Credits

5

Instructor

Sara Abrahamsson

Requirements

Prerequisite(s): ECE 153 or permission of instructor.

Quarter offered

Spring

ECE 240 Introduction to Linear Dynamical Systems

Introduction to applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Topics include the following: 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, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. (Formerly CMPE 240.)

Credits

5

Instructor

The Staff, Mircea Teodorescu, Gabriel Elkaim

Requirements

Enrollment is restricted to graduate students; undergraduates may enroll if they have completed ECE 103 and AM 147.

Quarter offered

Fall

ECE 241 Introduction to Feedback Control Systems

Graduate-level introduction to control of continuous linear systems using classical feedback techniques. Design of feedback controllers for command-following error, disturbance rejection, stability, and dynamic response specifications. Root locus and frequency response design techniques. Extensive use of Matlab for computer-aided controller design. Course has concurrent lectures with ECE 141.

Credits

5

Instructor

The Staff, Ricardo Sanfelice, Dejan Milutinovic

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Winter

ECE 242 Applied Feedback Control

Sequel to Electrical Engineering 154. After reviewing control design techniques examined in EE 154, this course explores state space control, discrete time control, and two case studies in control design. Students design and implement feedback controllers on an inverted pendulum experiment. (Formerly CMPE 242.)

Credits

5

Instructor

Ricardo Sanfelice, Gabriel Elkaim, Dejan Milutinovic

Requirements

Prerequisite(s): ECE 141 or ECE 241. Enrollment is restricted to juniors, seniors, and graduate students.

Quarter offered

Spring

ECE 243 System Identification

Course provides introduction to the construction of linear dynamical models from experimental data using parametric and non-parametric identification techniques. Theoretical and practical aspects of these techniques addressed. (Formerly CMPE 243.)

Credits

5

Requirements

Prerequisite(s): ECE 240, or by permission of instructor.

ECE 244 Digital Control

Teaches the design and analysis of digital control systems. The topics covered are discrete-time system modeling; z-transform; stability, controllability, and observability of discrete-time systems; various design approaches to control design in which sensor, computer hardware, actuation, communication, and user interface are part of the design. Note: knowledge of linear algebra, calculus, basic differential equations, Laplace transform, signals and systems, linear-system control theory, MATLAB, and the use of word-processing software are assumed. (Formerly CMPE 244.)

Credits

5

Instructor

Patrick Mantey, Dejan Milutinovic

Requirements

Prerequisite(s): ECE 141 or ECE 241. Enrollment is restricted to graduate students, or by permission of the instructor.

Quarter offered

Spring

ECE 245 Estimation and Introduction to Control of Stochastic Processes

Provides practical knowledge of Kalman filtering and introduces control theory for stochastic processes. Selected topics include: state-space modeling; discrete- and continuous-time Kalman filter; smoothing; and applications in feedback control. Students learn through hands-on experience. Students cannot receive credit for this course and course 145. (Formerly CMPE 245.)

Credits

5

Instructor

Dejan Milutinovic

Requirements

Prerequisite(s): ECE 240 or ECE 241. Knowledge of Matlab is expected. Enrollment is restricted to graduate students.

Quarter offered

Spring

ECE 246 Hybrid Dynamical Systems

Examines the modeling and analysis of hybrid dynamical systems, including the modeling of hybrid systems, the concept of solutions, Zeno behavior, equilibrium sets, stability, convergence, Lyapunov-based conditions, robustness, and simulation. Students are guided on methods for simulation and encouraged to apply them to several applications. (Formerly CMPE 246.)

Credits

5

Instructor

Ricardo Sanfelice

Requirements

Prerequisite(s): ECE 241. Enrollment is restricted to graduate students.

ECE 249 Introduction to Cyber-physical Systems

Presents the basic concepts and tools for the study of cyber-physical systems, including modeling and analysis tools for continuous-time and discrete-time systems, finite state machines, stateflow, timed and hybrid automata, concurrency, invariants, linear temporal logic, verification, and numerical simulation. Students are guided on methods for simulation and encouraged to apply them to several applications. The course is self-contained. Students are expected to have a basic background in logic circuits, programming, the mathematical modeling of dynamical systems (course 8 is recommended), differential equations, linear algebra, and basic calculus. Knowledge of MATLAB/Simulink is useful. Students cannot receive credit for this course and course 149. (Formerly CMPE 249.)

Credits

5

Instructor

Ricardo Sanfelice

Requirements

Prerequisite(s): CSE 100 and CSE 100L or equivalent, and CSE 13E or equivalent.

ECE 250 Digital Signal Processing

In-depth study of signal processing techniques, including discrete-time signals and systems, the z-transform, sampling of continuous-time signals, transform analysis of linear time-invariant systems, structures for discrete-time systems, the discrete Fourier transform, computation of the discrete Fourier transform, filter design techniques. Students cannot receive credit for this course and course 153. (Formerly EE 250.)

Credits

5

Instructor

Benjamin Friedlander, Farid Dowla

Quarter offered

Spring

ECE 251 Principles of Digital Communications

A core course on digital communications theory. Provides an introduction to digital communication, including source coding, characterization of communication signals and systems, modulation and demodulation for the additive Gaussian channel, digital signaling, and over bandwidth constrained linear filter channels and over fading multipath channels. (Formerly EE 251.)

Credits

5

Instructor

Benjamin Friedlander

Requirements

Prerequisite(s): ECE 151 and ECE 153 and CSE 107.

Quarter offered

Fall

ECE 252 Wireless Communications

In-depth study of the physical layer of wireless communications. Wireless propagation channels and their impact on digital communications. Modulation techniques for wireless systems and their performance. Multi-antenna systems and diversity. Multicarrier and spread spectrum. Multi-access methods: FDMA, TDMA, CDMA. The structure of cellular systems. Students cannot receive credit for this course and course 152. (Formerly EE 252.)

Credits

5

Instructor

Benjamin Friedlander

Requirements

Prerequisite(s): ECE 251.

Quarter offered

Winter

ECE 253 Introduction to Information Theory

An introduction to information theory including topics such as entropy, relative entropy, mutual information, asymptotic equipartition property, channel capacity, differential entropy, rate distortion theory, and universal source coding. (Formerly EE 253 and CMPS 250.)

Credits

5

Cross Listed Courses

CSE 208

Instructor

Hamid Sadjadpour, Yu Zhang

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Fall

ECE 254 Radar, Synthetic Aperture Radar, and ISAR

Introduces radar signal processing, synthetic aperture radar (SAR), and inverse SAR (ISAR). Focuses on the fundamentals and design principles of modern radar systems. Students use hands-on computer simulations to build a strong background in radar sensor systems that can be applied to a variety of problems, such as medical imaging, ground-penetrating radar imaging for geophysical exploration, and the use of radar sensor systems for satellite-based SAR. (Formerly EE 288.)

Credits

5

Instructor

Farid Dowla

Requirements

Prerequisite(s): ECE 153. Enrollment is restricted to juniors, seniors, and graduate students.

ECE 255 Error Control Coding

Covers the following topics: introduction to algebra; linear block code; cyclic codes; BCH code; RS codes; spectral domain study of codes; CRC; and product codes. (Formerly EE 261.)

Credits

5

Instructor

Hamid Sadjadpour

Quarter offered

Winter

ECE 256 Statistical Signal Processing

Covers fundamental approaches to designing optimal estimators and detectors of deterministic and random parameters and processes in noise, and includes analysis of their performance. Binary hypothesis testing: the Neyman-Pearson Theorem. Receiver operating characteristics. Deterministic versus random signals. Detection with unknown parameters. Optimal estimation of the unknown parameters: least square, maximum likelihood, Bayesian estimation. Will review the fundamental mathematical and statistical techniques employed. Many applications of the techniques are presented throughout the course. Note: While a review of probability and statistics is provided, this is not a basic course on this material. (Formerly EE 262.)

Credits

5

Instructor

Benjamin Friedlander

Requirements

Prerequisite(s): ECE 103 and CSE 107, or permission of instructor.

Quarter offered

Spring

ECE 258 Introduction to Inverse Problems

Fundamental approaches and techniques in solving inverse problems in engineering and applied sciences, particularly in imaging. Initial emphasis on fundamental mathematical, numerical, and statistical formulations and known solution methods. Sampling of applications presented from diverse set of areas (astronomical, medical and optical imaging, and geophysical exploration). (Formerly EE 265.)

Credits

3

Instructor

The Staff, Patrick Gill

Requirements

Enrollment is restricted to graduate students.

ECE 275 Techology Management in Network Industries

Introduces analytical tools (optimization and simulation) for modeling firms' technology choices and market behavior for an industry with a network structure. Examples of industries with a network include electric power, airline, natural gas, water supply systems, and transportation sectors. These models are useful for planning investments in infrastructure, such as network expansion (transmission lines), supply capacity (power plants, storage), and demand-side management, and for analysis of public policies. Students are encouraged to apply those tools to analyze other sectors in a class project. (Formerly Technology and Information Management 275.)

Credits

5

Instructor

Yihsu Chen

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Spring

ECE 279 Optimization and Control for Electric Power Systems

Provides a comprehensive overview of power systems. Students learn how mathematical tools are used for the system planning and operation. Advanced topics include smart grids, electric vehicles and energy data analytics.

Credits

5

Instructor

Yu Zhang

Requirements

Enrollment is restricted to graduate students. Undergraduates admitted with permission of the instructor.

Quarter offered

Winter

ECE 280A Current Topics in Applied Microscopy and Neuronal Imaging

A weekly seminar to discuss current topics in applied microscopy and neuronal imaging. (Formerly EE 280A.)

Credits

2

Instructor

Sara Abrahamsson

Requirements

Enrollment is restricted to graduate students.

Repeatable for credit

Yes

ECE 280B Seminar on Integrated Bioelectronics

Weekly seminar covering current research in integrated bioelectronics. Enrollment is by permission of the instructor and is restricted to students who have research in bioelectronics. (Formerly EE 280B.)

Credits

2

Instructor

Marco Rolandi

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 280C Seminar on Control

Weekly seminar series covering topics of current research in theory and application of control to engineering systems. Current research work and literature in these areas discussed. (Formerly CMPE 280C.)

Credits

2

Instructor

Ricardo Sanfelice, Dejan Milutinovic, Mircea Teodorescu, Gabriel Elkaim

Requirements

Enrollment is restricted to graduate students; undergraduates may enroll with permission of instructor.

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 280D Graduate Research Seminar

Weekly seminar series in topics of current research in information systems and technology management. Enrollment by permission of instructor. (Formerly TIM 280A.)

Credits

2

Instructor

Yihsu Chen

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 280N Seminar on Nanophotonics and Lab-on-Chip Systems

Weekly series covering current research in nanophotonics and lab-on-chip systems including nanoplasmonic biosensors; nanospectroscopy (Raman and vibrational mid-infrared spectroscopy); nanofabrication; nanophotonics devices for energy conversion and thermoplasmonics; acoustic fluids; and microfluidic integration. Current research work and recent literature are discussed. Enrollment is by permission of the instructor and restricted to graduate students. Sophomores, juniors, and seniors may enroll by permission of instructor. (Formerly EE 280N.)

Credits

2

Instructor

Ahmet Yanik

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 280O Seminar on Applied Optics

Weekly seminar series covering topics of current research in applied optics, including integrated, quantum, nonlinear, and nano-optics. Current research work and literature in these areas are discussed. Enrollment by permission of instructor. (Formerly EE 280O.)

Credits

2

Instructor

Holger Schmidt

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 280Z Seminar on Smart Grids and Data Analytics

Weekly series covering state-of-the-art research in smart power grids, machine learning, communications, and signal processing. Current research works and recent literature are discussed. Enrollment is by permission of the instructor and is restricted to graduate students. Undergraduates may enroll by permission of the instructor. (Formerly EE 280Z.)

Credits

2

Instructor

Yu Zhang

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 283 Special Topics in Electrical and Computer Engineering

Graduate seminar on a research topic in electrical engineering that varies with the particular instructor. Topics may include, but are not limited to, electromagnetics, antennas, electronics biotechnology, nanotechnology, signal processing, communications, VLSI, MEMS, and radio frequency. Enrollment is restricted to graduate students and consent of instructor. (Formerly EE 283.)

Credits

3

Instructor

Farid Dowla

Repeatable for credit

Yes

ECE 290 ECE Graduate Seminar

Leading speakers from academia and industry present their latest research.

Credits

2

Instructor

Michael Wehner, Yu Zhang, Sara Abrahamsson, Shiva Abbaszadeh

Requirements

Enrollment is restricted to computer engineering, electrical engineering, and electrical and computer engineering graduate students.

Repeatable for credit

Yes

Quarter offered

Fall, Winter, Spring

ECE 291 Tomorrow's Professor: Preparing for an Academic Career in Science and Engineering

The aim of this course is two-fold: (1) inform, motivate, and prepare graduate students for possible careers in academia and industry; (2) expose graduate students to the professional skills required for possible career options in engineering and science. Course is for Satisfactory/Unsatisfactory grade only. (Formerly EE 291, Tomorrow's Professors, Engineers, and Entrepreneurs.)

Credits

3

Instructor

Marco Rolandi

Requirements

Enrollment is restricted to graduate students.

Quarter offered

Spring

ECE 293 Advanced Topics in Electrical and Computer Engineering

Graduate seminar on a research topic in electrical engineering that varies with the particular instructor. Typical topics include, but are not limited to, electromagnetics, antennas, electronics biotechnology, nanotechnology, signal processing, communications, VLSI, and MEMS. Prerequisite(s):Enrollment is by permission of the instructor and is restricted to graduate students. In some quarters course will be taught in conjunction with ECE 183. (Formerly EE 293.)

Credits

5

Instructor

The Staff, Mehrdad Parsa, Yu Zhang, Michael Oye, Leila Parsa, Keith Corzine, Sara Abrahamsson, Shiva Abbaszadeh

Repeatable for credit

Yes

Quarter offered

Fall, Winter

ECE 296 Master Project

Master project conducted under faculty supervision. Petition on file with sponsor faculty.

Credits

5

Quarter offered

Fall, Winter, Spring

ECE 297A Independent Study or Research

Independent study or research under faculty supervision. Students submit petition to sponsoring agency.

Credits

5

Repeatable for credit

Yes

Quarter offered

Fall

ECE 297B Independent Study or Research

Independent study or research under faculty supervision. Students submit petition to sponsoring agency.

Credits

10

Repeatable for credit

Yes

Quarter offered

Winter

ECE 297C Independent Study or Research

Independent study or research under faculty supervision. Students submit petition to sponsoring agency.

Credits

15

Repeatable for credit

Yes

Quarter offered

Spring

ECE 297F Independent Study or Research

Independent study or research under faculty supervision. Students submit petition to sponsoring agency.

Credits

2

Repeatable for credit

Yes

ECE 299A Thesis Research

Thesis research conducted under faculty supervision. Students submit petition to sponsoring agency.

Credits

5

Repeatable for credit

Yes

Quarter offered

Fall

ECE 299B Thesis Research

Thesis research conducted under faculty supervision. Students submit petition to sponsoring agency.

Credits

10

Repeatable for credit

Yes

Quarter offered

Winter

ECE 299C Thesis Research

Thesis research conducted under faculty supervision. Students submit petition to sponsoring agency.

Credits

15

Repeatable for credit

Yes

Quarter offered

Spring