Lower Division Courses

20N.  Structure and Interpretation of Systems and Signals. (4)   Three hours of lecture and three hours of laboratory per week. Prerequisites: Mathematics 1B. Mathematical modeling of signals and systems. Continous and discrete signals, with applications to audio, images, video, communications, and control. State-based models, beginning with automata and evolving to LTI systems. Frequency domain models for signals and frequency response for systems, and sampling of continuous-time signals. A Matlab-based laboratory is an integral part of the course. (F,SP) Ayazifar

24.  Freshman Seminar. (1)   One hour of seminar per week. Sections 1-2 to be graded on a letter-grade basis. Sections 3-4 to be graded on a passed/not passed basis. The Freshman Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Freshman seminars are offered in all campus departments, and topics may vary from department to department and semester to semester. (F,SP)

25.  What Electrical Engineers Do--Feedback from Recent Graduates. (1)   One hour of lecture per week. Must be taken on a passed/not passed basis. A Berkeley Electrical Engineering and Computer Sciences degree opens the door to many opportunities, but what exactly are they? Graduation is only a few years away and it's not too early to find out. In this seminar students will hear from practicing engineers who recently graduated. What are they working on? Are they working in a team? What do they wish they had learned better? How did they find their jobs? (F,SP) Boser

40.  Introduction to Microelectronic Circuits. (4)   Students will receive one unit of credit for 40 taking 42 and no credit after taking 100. Three hours of lecture, three hours of laboratory, and one hour of discussion per week. Prerequisites: Mathematics 1B and Physics 7B. Fundamental circuit concepts and analysis techniques in the context of digital electronic circuits. Transient analysis of CMOS logic gates; basic integrated-circuit technology and layout. (F,SP) Staff

42.  Introduction to Digital Electronics. (3)   Students will receive no credit for 42 after taking 40 or 100. Three hours of lecture and one hour of discussion per week. Prerequisites: Mathematics 1B. This course serves as an introduction to the principles of electrical engineering, starting from the basic concepts of voltage and current and circuit elements of resistors, capacitors, and inductors. Circuit analysis is taught using Kirchhoff's voltage and current laws with Thevenin and Norton equivalents. Operational amplifiers with feedback are introduced as basic building blocks for amplication and filtering. Semiconductor devices including diodes and MOSFETS and their IV characteristics are covered. Applications of diodes for rectification, and design of MOSFETs in common source amplifiers are taught. Digital logic gates and design using CMOS as well as simple flip-flops are introduced. Speed and scaling issues for CMOS are considered. The course includes as motivating examples designs of high level applications including logic circuits, amplifiers, power supplies, and communication links. (F,SP) Staff

43.  Introductory Electronics Laboratory. (1)   Three hours of laboratory per week. Must be taken on a passed/not passed basis. Prerequisites: 42 (may be taken concurrently) or equivalent or consent of instructor. Using and understanding electronics laboratory equipment such as oscilloscope, power supplies, function generator, multimeter, curve-tracer, and RLC-meter. Includes a term project of constructing and testing a robot or other appropriate electromechanical device. (F,SP) Staff

97.  Field Study. (1-4)   Course may be repeated for credit. One to four hours of fieldwork per week. Must be taken on a passed/not passed basis. Prerequisites: Consent of instructor (see department adviser). Students take part in organized individual field sponsored programs with off-campus companies or tutoring/mentoring relevant to specific aspects and applications of computer science on or off campus. Note Summer CPT or OPT students: written report required. Course does not count toward major requirements, but will be counted in the cumulative units toward graduation. (F,SP) Staff

98.  Directed Group Study for Undergraduates. (1-4)   Course may be repeated for credit. Course format varies. Must be taken on a passed/not passed basis. Group study of selected topics in electrical engineering, usually relating to new developments. (F,SP) Staff

99.  Individual Study and Research for Undergraduates. (1-4)   Course may be repeated for credit. Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Must be taken on a passed/not passed basis. Prerequisites: Freshman or sophomore standing and consent of instructor. Minimum GPA of 3.4 required. Supervised independent study and research for students with fewer than 60 units completed. (F,SP) Staff

Upper Division Courses

100.  Electronic Techniques for Engineering. (4)   Students will receive one unit of credit for 100 after taking 42 and no credit after taking 40. Three hours of lecture, three hours of laboratory, and one hour of discussion per week. Prerequisites: Mathematics 1B. This course serves as an introduction to the principles of electrical engineering, starting from the basic concepts of voltage and current and circuit elements of resistors, capacitors, and inductors. Circuit analysis is taught using Kirchhoff's voltage and current laws with Thevenin and Norton equivalents. Operational amplifiers with feedback are introduced as basic building blocks for amplification and filtering. Semiconductor devices including diodes and MOSFETS and their IV characteristics are covered. Applications of diodes for rectification, and design of MOSFETs in common source amplifiers are taught. Digital logic gates and design using CMOS as well as simple flip-flops are introduced. Speed and scaling issues for CMOS are considered. The course includes as motivating examples designs of high level applications including logic circuits, amplifiers, power supplies, and communication links. (F,SP) Staff

105.  Microelectronic Devices and Circuits. (4)   Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: 40. This course covers the fundamental circuit and device concepts needed to understand analog integrated circuits. After an overview of the basic properties of semiconductors, the p-n junction and MOS capacitors are described and the MOSFET is modeled as a large-signal device. Two port small-signal amplifiers and their realization using single stage and multistage CMOS building blocks are discussed. Sinusoidal steady-state signals are introduced and the techniques of phasor analysis are developed, including impedance and the magnitude and phase response of linear circuits. The frequency responses of single and multi-stage amplifiers are analyzed. Differential amplifiers are introduced. (F,SP) Staff

113.  Power Electronics. (4)   Three hours of lecture and three hours of laboratory per week. Prerequisites: 105 or consent of instructor. Power conversion circuits and techniques. Characterization and design of magnetic devices including transformers, reactors, and electromagnetic machinery. Characteristics of bipolar and MOS power semiconductor devices. Applications to motor control, switching power supplies, lighting, power systems, and other areas as appropriate. (SP) Staff

117.  Electromagnetic Fields and Waves. (4)   Three hours of lecture, one hour of discussion, and one and one-half hours of laboratory per week. Prerequisites: 40, Mathematics 53, 54, knowledge of phasor analysis (e.g. as taught in 105). Formerly 117A-117B. Review of static electric and magnetic fields and applications; Maxwell's equations; transmission lines; propagation and reflection of plane waves; introduction to guided waves, microwave networks, and radiation and antennas. Minilabs on statics, transmission lines, and waves. (F,SP) Staff

119.  Introduction to Optical Engineering. (3)   Three hours of lecture and one hour of discussion per week. Prerequisites: Physics 7C. Fundamental principles of optical systems. Geometrical optics and aberration theory. Stops and apertures, prisms, and mirrors. Diffraction and interference. Optical materials and coatings. Radiometry and photometry. Basic optical devices and the human eye. The design of optical systems. Lasers, fiber optics, and holography. (SP) Staff

120.  Signals and Systems. (4)   Four hours of lecture and one hour of recitation per week. Prerequisites: 20N, Mathematics 53, 54. Continuous and discrete-time transform analysis techniques with illustrative applications. Linear and time-invariant systems, transfer functions. Fourier series, Fourier transform, Laplace and Z-transforms. Sampling and reconstruction. Solution of differential and difference equations using transforms. Frequency response, Bode plots, stability analysis. Illustrated by analysis of communication systems and feedback control systems. (F,SP) Staff

121.  Introduction to Digital Communication Systems. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: 120, 126. Introduction to the basic principles of the design and analysis of modern digital communication systems. Topics include source coding, channel coding, baseband and passband modulation techniques, receiver design, and channel equalization. Applications to design of digital telephone modems, compact disks, and digital wireless communication systems. Concepts illustrated by a sequence of MATLAB exercises. (SP) Staff

122.  Introduction to Communication Networks. (4)   Three hours of lecture, one hour of discussion, and one hour of laboratory per week. Prerequisites: Computer Science 61B, Mathematics 53 or 54. This course is an introduction to the design and implementation of computer networks. We will focus on the concepts and fundamental design principles that have contributed to the Internet's scalability and robustness and survey the underlying technologies--e.g., Ethernet, 802.11, DSL, optical links--that have led to the Internet's phenomenal success. Topics include layering, congestion/flow/error control, routing, addressing, multicast, packet scheduling, switching, internetworking, network security, and networking/programming interfaces. (F,SP) Staff

123.  Digital Signal Processing. (4)   Three hours of lecture, one hour of discussion, and one hour of laboratory per week. Prerequisites: 120. Discrete time signals and systems: Fourier and Z transforms, DFT, 2-dimensional versions. Digital signal processing topics: flow graphs, realizations, FFT, chirp-Z algorithms, Hilbert transform relations, quantization effects, linear prediction. Digital filter design methods: windowing, frequency sampling, S-to-Z methods, frequency-transformation methods, optimization methods, 2-dimensional filter design. (SP) Staff

C125.  Introduction to Robotics. (4)   Students will receive no credit for C125/Bioengineering C125 after taking 215A. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: Electrical Engineering 120 or equivalent or consent of instructor. An introduction to the kinematics, dynamics, and control of robot manipulators, robotic vision, and sensing. The course covers forward and inverse kinematics of serial chain manipulators, the manipulator Jacobian, force relations, dynamics, and control. It presents elementary principles on proximity, tactile, and force sensing, vision sensors, camera calibration, stereo construction, and motion detection. The course concludes with current applications of robotics in active perception, medical robotics, and other areas. Also listed as Bioengineering C125. (F) Bajcsy

126.  Probability and Random Processes. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: 20. This course covers the fundamentals of probability and random processes useful in fields such as networks, communication, signal processing, and control. Sample space, events, probability law. Conditional probability. Independence. Random variables. Distribution, density functions. Random vectors. Law of large numbers. Central limit theorem. Estimation and detection. Markov chains. (F,SP) Staff

127.  Optimization Models in Engineering. (4)   Students will receive no credit for Electrical Engineering 127 after taking Electrical Engineering 127A or Electrical Engineering 227M. Three hours of lecture and one hour of discussion per week. Prerequisites: Math 54 or equivalent or consent of instructor. Formerly Electrical Engineering 127A. This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization. (F) Staff

127A.  Optimization Models in Engineering. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Math 54. Optimization models in engineering. Linear, quadratic convex, and second-order cone optimization. Applications in engineering, circuit design, signal processing, finance operations research, machine learning, computer science, bioengineering. (SP) El Ghaoui

C128.  Feedback Control Systems. (4)   Three hours of lecture and one hour of discussion per week. Analysis and synthesis of linear feedback control systems in transform and time domains. Control system design by root locus, frequency response, and state space methods. Applications to electro-mechanical and mechatronics systems. Also listed as Mechanical Engineering C134. (F) Staff

129.  Neural and Nonlinear Information Processing. (3)   Three hours of lecture per week. Prerequisites: 120 or consent of instructor. Principles of massively parallel real-time computation, optimization, and information processing via nonlinear dynamics and analog VLSI neural networks, applications selected from image processing, pattern recognition, feature extraction, motion detection, data compression, secure communication, bionic eye, auto waves, and Turing patterns. (SP) Chua

130.  Integrated-Circuit Devices. (4)   Students will receive no credit for 130 after taking 230M. Three hours of lecture and one hour of discussion per week. Prerequisites: 40 or 100. Overview of electronic properties of semiconductor. Metal-semiconductor contacts, pn junctions, bipolar transistors, and MOS field-effect transistors. Properties that are significant to device operation for integrated circuits. Silicon device fabrication technology. (F,SP) Staff

134.  Fundamentals of Photovoltaic Devices. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: 40 or 100 or Engineering 45. This course is designed to give an introduction to, and overview of, the fundamentals of photovoltaic devices. Students will learn how solar cells work, understand the concepts and models of solar cell device physics, and formulate and solve relevant physical problems related to photovoltaic devices. Monocrystalline, thin film and third generation solar cells will be discussed and analyzed. Light management and economic considerations in a solar cell system will also be covered. (F,SP) Arias

137A.  Introduction to Electric Power Systems. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Physics 7B; Electrical Engineering 40, 100, or Engineering 45; or consent of instructor. Overview of conventional electric power conversion and delivery, emphasizing a systemic understanding of the electric grid with primary focus at the transmission level, aimed toward recognizing needs and opportunities for technological innovation. Topics include aspects of a.c. system design, electric generators, components of transmission and distribution systems, power flow analysis, system planning and operation, performance measures, and limitations of legacy technologies. (F,SP) von Meier

137B.  Introduction to Electric Power Systems. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Electrical Engineering 137A and 194 or consent of instructor. Overview of recent and potential future evolution of electric power systems with focus on new and emerging technologies for power conversion and delivery, primarily at the distribution level. Topics include power electronics applications, solar and wind generation, distribution system design and operation, electric energy storage, information management and communications, demand response, and microgrids. (SP) von Meier

140.  Linear Integrated Circuits. (4)   Students will receive no credit for Electrical Engineering 140 after taking 240M. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: Electrical Engineering 105. Single and multiple stage transistor amplifiers. Operational amplifiers. Feedback amplifiers, 2-port formulation, source, load, and feedback network loading. Frequency response of cascaded amplifiers, gain-bandwidth exchange, compensation, dominant pole techniques, root locus. Supply and temperature independent biasing and references. Selected applications of analog circuits such as analog-to-digital converters, switched capacitor filters, and comparators. Hardware laboratory and design project. (F,SP) Alon, Sanders

W140.  Linear Integrated Circuits. (4)   Students will receive no credit for W140 after taking 140. Three hours of web-based lecture and one hour of web-based discussion per week. Prerequisites: MAS-IC students only. Single and multiple stage transistor amplifiers. Operational amplifiers. Feedback amplifiers, 2-port formulation, source, load, and feedback network loading. Frequency response of cascaded amplifiers, gain-bandwidth exchange, compensation, dominant pole techniques, root locus. Supply and temperature independent biasing and references. Selected applications of analog circuits such as analog-to-digital converters, switched capacitor filters, and comparators. (F,SP) Alon, Sanders

141.  Introduction to Digital Integrated Circuits. (4)   Students will receive no credit for Electrical Engineering 141 after taking Electrical Engineering 241M. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: Electrical Engineering 40; Electrical Engineering 105 and Computer Science 150 recommended. CMOS devices and deep sub-micron manufacturing technology. CMOS inverters and complex gates. Modeling of interconnect wires. Optimization of designs with respect to a number of metrics: cost, reliability, performance, and power dissipation. Sequential circuits, timing considerations, and clocking approaches. Design of large system blocks, including arithmetic, interconnect, memories, and programmable logic arrays. Introduction to design methodologies, including hands-on experience. (F,SP) Alon, Rabaey

W141.  Introduction to Digital Integrated Circuits. (4)   Students will receive no credit for W141 after taking 141. Three hours of web-based lecture, one hour of web-based discussion, and three hours of web-based laboratory per week. Prerequisites: MAS-IC students only. Digital design using deep sub-micron CMOS. CMOS devices and manufacturing. Inverters, complex gates. Modeling of interconnect. Optimization of designs with respect to cost, reliabilty, performance, and power dissipation. Sequential circuits, timing considerations, and clocking approaches. Design of large functional blocks such as arithmetic and memories. Introduction to design methodologies, hands-on experience. (F,SP) Alon, Rabaey

142.  Integrated Circuits for Communications. (4)   Students will receive no credit for 142 after taking 242M. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: 20N and 140. Analysis and design of electronic circuits for communication systems, with an emphasis on integrated circuits for wireless communication systems. Analysis of noise and distortion in amplifiers with application to radio receiver design. Power amplifier design with application to wireless radio transmitters. Radio-frequency mixers, oscillators, phase-locked loops, modulators, and demodulators. (F,SP) Staff

W142.  Integrated Circuits for Communications. (4)   Students will receive no credit for W142 after taking 142, 242, or 242M. Three hours of web-based lecture and one hour of web-based discussion per week. Prerequisites: W140; MAS-IC students only. Analysis and design of electronic circuits for communication systems, with an emphasis on integrated circuits for wireless communication systems. Analysis of noise and distortion in amplifiers with application to radio receiver design. Power amplifier design with application to wireless radio transmitters. Radio-frequency mixers, oscillators, phase-locked loops, modulators, and demodulators. (F,SP) Niknejad

143.  Microfabrication Technology. (4)   Three hours of lecture and three hours of laboratory per week. Prerequisites: 40 and Physics 7B. Integrated circuit device fabrication and surface micromachining technology. Thermal oxidation, ion implantation, impurity diffusion, film deposition, expitaxy, lithography, etching, contacts and interconnections, and process integration issues. Device design and mask layout, relation between physical structure and electrical/mechanical performance. MOS transistors and poly-Si surface microstructures will be fabricated in the laboratory and evaluated. (F,SP) Staff

144.  Fundamental Algorithms for Systems Modeling, Analysis, and Optimization. (4)   Four hours of lecture per week. Prerequisites: 20; Computer Science 70 or consent of instructor. The modeling, analysis, and optimization of complex systems requires a range of algorithms and design software. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as example. Topics include design flows, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software. Laboratory assignments and a class project will expose students to state-of-the-art tools. (F,SP) Keutzer, Lee, Roychowdhury, Seshia

C145B.  Medical Imaging Signals and Systems. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Electrical Engineering 20N and Engineering 7, or equivalent. Electrical Engineering 120 recommended. Knowledge of Matlab or linear algebra assumed. Biomedical imaging is a clinically important application of engineering, applied mathematics, physics, and medicine. In this course, we apply linear systems theory and basic physics to analyze X-ray imaging, computerized tomography, nuclear medicine, and MRI. We cover the basic physics and instrumentation that characterizes medical image as an ideal perfect-resolution image blurred by an impulse response. This material could prepare the student for a career in designing new medical imaging systems that reliably detect small tumors or infarcts. Also listed as Bioengineering C165. (F) Conolly

C145L.  Introductory Electronic Transducers Laboratory. (3)   Two hours of lecture and three hours of laboratory per week. Prerequisites: Electrical Engineering 40. Laboratory exercises exploring a variety of electronic transducers for measuring physical quantities such as temperature, force, displacement, sound, light, ionic potential; the use of circuits for low-level differential amplification and analog signal processing; and the use of microcomputers for digital sampling and display. Lectures cover principles explored in the laboratory exercises; construction, response and signal to noise of electronic transducers and actuators; and design of circuits for sensing and controlling physical quantities. Also listed as Bioengineering C145L. (F) Derenzo

C145M.  Introductory Microcomputer Interfacing Laboratory. (3)   Two hours of lecture and three hours of laboratory per week. Prerequisites: Electrical Engineering 40, Computer Science 61B or a working knowledge of ANSI C programming or consent of instructor. Laboratory exercises constructing basic interfacing circuits and writing 20-100 line C programs for data acquisition, storage, analysis, display, and control. Use of the IBM PC with microprogrammable digital counter/timer, parallel I/O port. Circuit components include anti-aliasing filters, the S/H amplifier, A/D and D/A converters. Exercises include effects of aliasing in periodic sampling, fast Fourier transforms of basic waveforms, the use of the Hanning filter for leakage reduction, Fourier analysis of the human voice, digital filters, and control using Fourier deconvolution. Lectures cover principles explored in the lab exercises and design of microcomputer-based systems for data acquisitions, analysis and control. Also listed as Bioengineering C145M. (SP) Derenzo

C145O.  Laboratory in the Mechanics of Organisms. (3)   Students will receive no credit for Integrative Biology C135L, Bioengineering C136L or Electrical Engineering C145O after taking Integrative Biology 135L. Six hours of laboratory and one hour of discussion per week, plus one field trip. Prerequisites: Integrative Biology 135 or consent of instructor; Electrical Engineering 105, 120 or Computer Science 184 recommended. Introduction to laboratory and field study of the biomechanics of animals and plants using fundamental biomechanical techniques and equipment. Course has a series of rotations involving students in experiments demonstrating how solid and fluid mechanics can be used to discover the way in which diverse organisms move and interact with their physical environment. The laboratories emphasize sampling methodology, experimental design, and statistical interpretation of results. Latter third of course devoted to independent research projects. Written reports and class presentation of project results are required. Also listed as Integrative Biology C135L and Bioengineering C136L. (SP) Staff

147.  Introduction to Microelectromechanical Systems (MEMS). (3)   Students will receive no credit for El Eng 147 after taking El Eng 247A. Three hours of lecture and one hour of discussion per week. Prerequisites: Electrical Engineering 40 or 100 or consent of instructor. This course will teach fundamentals of micromachining and microfabrication techniques, including planar thin-film process technologies, photolithographic techniques, deposition and etching techniques, and the other technologies that are central to MEMS fabrication. It will pay special attention to teaching of fundamentals necessary for the design and analysis of devices and systems in mechanical, electrical, fluidic, and thermal energy/signal domains, and will teach basic techniques for multi-domain analysis. Fundamentals of sensing and transduction mechanisms including capacitive and piezoresistive techniques, and design and analysis of micmicromachined miniature sensors and actuators using these techniques will be covered. (F,SP) Maharbiz, Nguyen, Pister

C149.  Introduction to Embedded Systems. (4)   Students will receive no credit for Electrical Engineering C149/Computer Science C149 after taking Electrical Engineering C249M/Computer Science C249M. Three hours of lecture and three hours of laboratory per week. Prerequisites: Electrical Engineering 20N; Computer Science 61C; Computer Science 70 or Mathematics 55. Formerly 124. This course introduces students to the basics of models, analysis tools, and control for embedded systems operating in real time. Students learn how to combine physical processes with computation. Topics include models of computation, control, analysis and verification, interfacing with the physical world, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects. Also listed as Computer Science C149. (F,SP) Lee, Seshia

192.  Mechatronic Design Laboratory. (4)   One and one-half hours of lecture and ten hours of laboratory per week. Prerequisites: 120, Computer Science 61B or 61C, 150 or equivalent. Design project course, focusing on application of theoretical principles in electrical engineering to control of a small-scale system, such as a mobile robot. Small teams of students will design and construct a mechatronic system incorporating sensors, actuators, and intelligence. (SP) Fearing

194.  Special Topics. (1-4)   Course may be repeated for credit as topic varies. One to four hours of lecture/discussion per week. Prerequisites: Consent of instructor. Topics will vary semester to semester. See the Electrical Engineering announcements. (F,SP) Staff

H196A-H196B.  Senior Honors Thesis Research. (1-4;1-4)   Individual research. Prerequisites: Open only to students in the Electrical Engineering and Computer Science honors program. Thesis work under the supervision of a faculty member. A minimum of four units must be taken; the units may be distributed between one and two semesters in any way. To obtain credit a satisfactory thesis must be submitted at the end of the two semesters to the Electrical and Engineering and Computer Science Department archive. Students who complete four units and a thesis in one semester receive a letter grade at the end of H196A. Students who do not, receive an IP in H196A and must enroll in H196B. (F,SP) Staff

197.  Field Study. (1-4)   Course may be repeated for credit. One to four hours of fieldwork per week. Must be taken on a passed/not passed basis. Prerequisites: Consent of instructor (see department adviser). Students take part in organized individual field sponsored programs with off-campus companies or tutoring/mentoring relevant to specific aspects and applications of computer science on or off campus. Note Summer CPT or OPT students: written report required. Course does not count toward major requirements, but will be counted in the cumulative units toward graduation. (F,SP) Staff

198.  Directed Group Study for Advanced Undergraduates. (1-4)   Course may be repeated for credit. To vary with section. Must be taken on a passed/not passed basis. Prerequisites: 2.0 GPA or better; 60 units completed. Group study of selected topics in electrical engineering, usually relating to new developments. (F,SP) Staff

199.  Supervised Independent Study. (1-4)   Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Individual conferences. Must be taken on a passed/not passed basis. Prerequisites: Consent of instructor and major adviser. Supervised independent study. Enrollment restrictions apply. (F,SP) Staff

Graduate Courses

210.  Applied Electromagnetic Theory. (3)   Three hours of lecture per week. Prerequisites: 117, or Physics 110A, 110B. Formerly 210A-210B. Advanced treatment of classical electromagnetic theory with engineering applications. Boundary value problems in electrostatics. Applications of Maxwell's Equations to the study of waveguides, resonant cavities, optical fiber guides, Gaussian optics, diffraction, scattering, and antennas. (F) Staff

C213.  Soft X-rays and Extreme Ultraviolet Radiation. (3)   Three hours of lecture per week. Prerequisites: Physics 110, 137, and Mathematics 53, 54 or equivalent. Formerly El Engineering 290G. This course will explore modern developments in the physics and applications of soft x-rays. It begins with a review of electromagnetic radiation at short wavelengths including dipole radiation, scattering and refractive index, using a semi-classical atomic model. Subject matter will include the generation of x-rays with laboratory tubes, synchrotron radiation, laser-plasma sources, x-ray lasers, and black body radiation. Concepts of spatial and temporal coherence will be discussed. Also listed as Applied Science and Technology C210. (SP) Staff

215A.  Introduction to Robotics. (4)   Students will receive no credit for 215A after taking C125/Bioengineering C125. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: 120 or equivalent, or consent of instructor. An introduction to the kinematics, dynamics, and control of robot manipulators, robotic vision, and sensing. The course will cover forward and inverse kinematics of serial chain manipulators, the manipulator Jacobian, force relations, dynamics and control-position, and force control. Proximity, tactile, and force sensing. Network modeling, stability, and fidelity in teleoperation and medical applications of robotics. (F) Bajcsy

218A.  Introduction to Optical Engineering. (3)   Students will receive no credit for Electrical Engineering 218A after taking Electrical Engineering 118 or 119. Three hours of lecture and one hour of discussion per week. Fundamental principles of optical systems. Geometrical optics and aberration theory. Stops and apertures, prisms, and mirrors. Diffraction and interference. Optical materials and coatings. Radiometry and photometry. Basic optical devices and the human eye. The design of optical systems. Lasers, fiber optics, and holography. (F,SP) Waller

219A.  Numerical Simulation and Modeling. (4)   Four hours of lecture per week. Prerequisites: Consent of instructor; a course in linear algebra and on circuits is very useful. Numerical simulation and modeling are enabling technologies that pervade science and engineering. This course provides a detailed introduction to the fundamental principles of these technologies and their translation to engineering practice. The course emphasizes hands-on programming in MATLAB and application to several domains, including circuits, nanotechnology, and biology. (F,SP) Roychowdhury

219B.  Logic Synthesis. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Consent of instructor. The course covers the fundamental techniques for the design and analysis of digital circuits. The goal is to provide a detailed understanding of basic logic synthesis and analysis algorithms, and to enable students to apply this knowledge in the design of digital systems and EDA tools. The course will present combinational circuit optimization (two-level and multi-level synthesis), sequential circuit optimization (state encoding, retiming), timing analysis, testing, and logic verification. (F,SP) Staff

219C.  Computer-Aided Verification. (3)   Three hours of lecture per week. Prerequisites: Consent of instructor; Computer Science 170 is recommended. Introduction to the theory and practice of formal methods for the design and analysis of systems, with a focus on automated algorithmic techniques. Covers selected topics in computational logic and automata theory including formal models of reactive systems, temporal logic, model checking, and automated theorem proving. Applications in hardware and software verification, analysis of embedded, real-time, and hybrid systems, computer security, synthesis, planning, constraint solving, and other areas will be explored as time permits. Offered alternate years. (F,SP) Seshia

C219D.  Concurrent Models of Computation. (3)   Course may be repeated for credit with consent of instructor. Three hours of lecture per week. Prerequisites: Graduate standing. Theory and practice of concurrent models of computation (MoCs) with applications to software systems, embedded systems, and cyber-physical systems. Analysis for boundedness, deadlock, and determinacy; formal semantics (fixed point semantics and metric-space models); composition; heterogeneity; and model-based design. MoCs covered may include process networks, threads, message passing, synchronous/reactive, dataflow, rendezvous, time-triggered, discrete events, and continuous time. Also listed as Computer Science C219D. (F,SP) Lee

C220A.  Advanced Control Systems I. (3)   Students will receive no credit for Electrical Engineering C220A after taking Mechanical Engineering 232. Three hours of lecture and one hour of discussion per week. Prerequisites: An undergraduate course in control systems (e.g., Mechanical Engineering 132 or Mechanical Engineering C134/Electrical Engineering C128) and linear algebra background (e.g., Engineering 231) is recommended. Input-output and state space representation of linear continuous and discrete time dynamic systems. Controllability, observability, and stability. Modeling and identification. Design and analysis of single and multi-variable feedback control systems in transform and time domain. State observer. Feedforward/preview control. Application to engineering systems. Also listed as Mechanical Engineering C232. (F) Borrelli, Horowitz, Tomizuka, Tomlin

C220B.  Experiential Advanced Control Design I. (3)   Three hours of lecture and two hours of laboratory per week. Prerequisites: Mechanical Engineering 132, or Mechanical Engineering C134/Electrical Engineering C128, or equivalent. Experience-based learning in the design of SISO and MIMO feedback controllers for linear systems. The student will master skills needed to apply linear control design and analysis tools to classical and modern control problems. In particular, the participant will be exposed to and develop expertise in two key control design technologies: frequency-domain control synthesis and time-domain optimization-based approach. Also listed as Mechanical Engineering C231A. (F) Staff

C220C.  Experiential Advanced Control Design II. (3)   Three hours of lecture and two hours of laboratory per week. Prerequisites: Mechanical Engineering 231A and either Mechanical Engineering C232/Electrical Engineering C220A or Electrical Engineering 221A. Experience-based learning in the design, analysis, and verification of automatic control systems. The course emphasizes the use of computer-aided design techniques through case studies and design tasks. The student will master skills needed to apply advanced model-based control analysis, design, and estimation to a variety of industrial applications. The role of these specific design methodologies within the larger endeavor of control design is also addressed. Also listed as Mechanical Engineering C231B. (SP) Staff

221A.  Linear System Theory. (4)   Three hours of lecture and two hours of recitation per week. Prerequisites: 120; Mathematics 110 recommended. Basic system concepts; state-space and I/O representation. Properties of linear systems. Controllability, observability, minimality, state and output-feedback. Stability. Observers. Characteristic polynomial. Nyquist test. (F,SP) Staff

222.  Nonlinear Systems--Analysis, Stability and Control. (3)   Three hours of lecture per week. Prerequisites: 221A (may be taken concurrently). Basic graduate course in non-linear systems. Second Order systems. Numerical solution methods, the describing function method, linearization. Stability - direct and indirect methods of Lyapunov. Applications to the Lure problem - Popov, circle criterion. Input-Output stability. Additional topics include: bifurcations of dynamical systems, introduction to the "geometric" theory of control for nonlinear systems, passivity concepts and dissipative dynamical systems. (SP) Staff

223.  Stochastic Systems: Estimation and Control. (3)   Three hours of lecture per week. Prerequisites: 226A (which students are encouraged to take concurrently). Parameter and state estimation. System identification. Nonlinear filtering. Stochastic control. Adaptive control. (SP) Staff

224A.  Digital Communications. (4)   Four hours of lecture and one hour of discussion per week. Prerequisites: 120 and 126, or equivalent. Formerly 224. Introduction to the basic principles of the design and analysis of modern digital communication systems. Topics include source coding; channel coding; baseband and passband modulation techniques; receiver design; channel equalization; information theoretic techniques; block, convolutional, and trellis coding techniques; multiuser communications and spread spectrum; multi-carrier techniques and FDM; carrier and symbol synchronization. Applications to design of digital telephone modems, compact disks, and digital wireless communication systems are illustrated. The concepts are illustrated by a sequence of MATLAB exercises. (F,SP) Staff

224B.  Fundamentals of Wireless Communication. (3)   Three hours of lecture per week. Prerequisites: 121, 226A, or equivalent. Introduction of the fundamentals of wireless communication. Modeling of the wireless multipath fading channel and its basic physical parameters. Coherent and noncoherent reception. Diversity techniques over time, frequency, and space. Spread spectrum communication. Multiple access and interference management in wireless networks. Frequency re-use, sectorization. Multiple access techniques: TDMA, CDMA, OFDM. Capacity of wireless channels. Opportunistic communication. Multiple antenna systems: spatial multiplexing, space-time codes. Examples from existing wireless standards. (SP) Tse

225A.  Digital Signal Processing. (3)   Three hours of lecture per week. Prerequisites: 123 and 126 or solid background in stochastic processes. Advanced techniques in signal processing. Stochastic signal processing, parametric statistical signal models, and adaptive filterings. Application to spectral estimation, speech and audio coding, adaptive equalization, noise cancellation, echo cancellation, and linear prediction. (SP) Gastpar, Bahai

225B.  Digital Image Processing. (3)   Three hours of lecture per week. Prerequisites: 123. 2-D sequences and systems, separable systems, projection slice thm, reconstruction from projections and partial Fourier information, Z transform, different equations, recursive computability, 2D DFT and FFT, 2D FIR filter design; human eye, perception, psychophysical vision properties, photometry and colorimetry, optics and image systems; image enhancement, image restoration, geometrical image modification, morphological image processing, halftoning, edge detection, image compression: scalar quantization, lossless coding, huffman coding, arithmetic coding dictionary techniques, waveform and transform coding DCT, KLT, Hadammard, multiresolution coding pyramid, subband coding, Fractal coding, vector quantization, motion estimation and compensation, standards: JPEG, MPEG, H.xxx, pre- and post-processing, scalable image and video coding, image and video communication over noisy channels. (F,SP) Zakhor

225D.  Audio Signal Processing in Humans and Machines. (3)   Three hours of lecture per week. Prerequisites: 123 or equivalent; Statistics 200A or equivalent; or graduate standing and consent of instructor. Introduction to relevant signal processing and basics of pattern recognition. Introduction to coding, synthesis, and recognition. Models of speech and music production and perception. Signal processing for speech analysis. Pitch perception and auditory spectral analysis with applications to speech and music. Vocoders and music synthesizers. Statistical speech recognition, including introduction to Hidden Markov Model and Neural Network approaches. (SP) Morgan

C225E.  Principles of Magnetic Resonance Imaging. (3)   Student will receive no credit for Electrical Engineering C225E after taking Bioengineering 265. Three hours of lecture per week. Fundamentals of MRI including signal-to-noise ratio, resolution, and contrast as dictated by physics, pulse sequences, and instrumentation. Image reconstruction via 2D FFT methods. Fast imaging reconstruction via convolution-back projection and gridding methods and FFTs. Hardware for modern MRI scanners including main field, gradient fields, RF coils, and shim supplies. Software for MRI including imaging methods such as 2D FT, RARE, SSFP, spiral and echo planar imaging methods. Fundamental tradeoffs of tailoring hardware and pulse sequences to specific applications. The modern MRI "toolbox" will be introduced, including selecting a slice or volume, fast imaging methods to avoid image artifacts due to physiologic motion, and methods for functional imaging. Also listed as Bioengineering C265. (F,SP) Conolly, Lustig

226A.  Random Processes in Systems. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: 120 and Statistics 200A or equivalent. Formerly 226. Probability, random variables and their convergence, random processes. Filtering of wide sense stationary processes, spectral density, Wiener and Kalman filters. Markov processes and Markov chains. Gaussian, birth and death, poisson and shot noise processes. Elementary queueing analysis. Detection of signals in Gaussian and shot noise, elementary parameter estimation. (F) Anantharam

226B.  Applications of Stochastic Process Theory. (2)   Course may be repeated for credit. Prerequisites: 226A. Advanced topics such as: Martingale theory, stochastic calculus, random fields, queueing networks, stochastic control. (SP) Anantharam, Varaiya

227AT.  Optimization Models in Engineering. (4)   Students will receive no credit for Electrical Engineering 227AT after taking Electrical Engineering 127. Three hours of lecture and one hour of discussion per week. Prerequisites: Mathematics 54 or equivalent or consent of instructor. This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization. (SP) El Ghaoui

C227A.  Introduction to Convex Optimization. (4)   Three hours of lecture, one hour of discussion, and two hours of laboratory per week. Prerequisites: Mathematics 54 and Statistics 2 or equivalents. Convex optimization is a class of nonlinear optimization problems where the objectives to be minimized, and the constraints, are both convex. Contrary to the more classical linear programming framework, convex programs often go unrecognized, and this is a pity since a large class of convex optimization problems can now be efficiently solved. In addition, it is possible to address hard, non-convex problems (such as "combinatorial optimization" problems) using convex approximations that are more efficient than classical linear ones. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The course includes laboratory assignments, which consist of hands-on experience. Also listed as Industrial Engin and Oper Research C227A. (F,SP) El Ghaoul, Wainwright

227B.  Convex Optimization and Approximation. (3)   Three hours of lecture per week. Prerequisites: 227A or consent of instructor. Convex optimization as a systematic approximation tool for hard decision problems. Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. Quality estimates of the resulting approximation. Applications in robust engineering design, statistics, control, finance, data mining, operations research. (F) El-Ghaoui

227BT.  Convex Optimization. (4)   Three hours of lecture, two hours of laboratory, and one hour of discussion per week. Prerequisites: Mathematics 54 and Statistics 2 or equivalents. Formerly Electrical Engineering 227A. Convex optimization is a class of nonlinear optimization problems where the objective to be minimized, and the constraints, are both convex. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The course includes laboratory assignments, which consist of hands-on experiments with the optimization software CVX, and a discussion section. (F,SP) El Ghaoui, Wainwright

C227B.  Convex Optimization and Approximation. (3)   Three hours of lecture per week. Prerequisites: Electrical Engineering 227A or Industrial Engineering and Operations Research C227A/Electrical Engineering C227A, or consent of instructor. Convex optimization as a systematic approximation tool for hard decision problems. Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. Quality estimates of the resulting approximation. Applications in robust engineering design, statistics, control, finance, data mining, operations research. Also listed as Industrial Engin and Oper Research C227B. (F,SP) El Ghaoui

228A.  High Speed Communications Networks. (3)   Three hours of lecture per week. Prerequisites: 122, 226A (may be taken concurrently). Descriptions, models, and approaches to the design and management of networks. Optical transmission and switching technologies are described and analyzed using deterministic, stochastic, and simulation models. FDDI, DQDB, SMDS, Frame Relay, ATM, networks, and SONET. Applications demanding high-speed communication. (F) Staff

229A.  Information Theory and Coding. (3)   Three hours of lecture per week. Prerequisites: 226 recommended, Statistics 200A or equivalent. Formerly 229. Fundamental bounds of Shannon theory and their application. Source and channel coding theorems. Galois field theory, algebraic error-correction codes. Private and public-key cryptographic systems. Offered alternate years. (SP) Anantharam, Tse

229B.  Error Control Coding. (3)   Three hours of lecture per week. Prerequisites: 126 or equivalent (some familiarity with basic probability). Prior exposure to information theory not necessary. Error control codes are an integral part of most communication and recording systems where they are primarily used to provide resiliency to noise. In this course, we will cover the basics of error control coding for reliable digital transmission and storage. We will discuss the major classes of codes that are important in practice, including Reed Muller codes, cyclic codes, Reed Solomon codes, convolutional codes, concatenated codes, turbo codes, and low density parity check codes. The relevant background material from finite field and polynomial algebra will be developed as part of the course. Overview of topics: binary linear block codes; Reed Muller codes; Galois fields; linear block codes over a finite field; cyclic codes; BCH and Reed Solomon codes; convolutional codes and trellis based decoding, message passing decoding algorithms; trellis based soft decision decoding of block codes; turbo codes; low density parity check codes. (SP) Anatharam

230A.  Integrated-Circuit Devices. (4)   Students will receive no credit for Electrical Engineering 230A after taking Electrical Engineering 130. Three hours of lecture and one hour of discussion per week. Prerequisites: 40 or 100. Formerly Electrical Engineering 230M. Overview of electronic properties of semiconductors. Metal-semiconductor contacts, pn junctions, bipolar transistors, and MOS field-effect transistors. Properties that are significant to device operation for integrated circuits. Silicon device fabrication technology. (F,SP) Staff

W230A.  Integrated-Circuit Devices. (4)   Students will receive no credit for Electrical Engineering W230A after taking Electrical Engineering 130, Electrical Engineering W130 or Electrical Engineering 230A. Three hours of web-based lecture and one hour of web-based discussion per week. Prerequisites: MAS-IC students only. Formerly Electrical Engineering W130. Overview of electronic properties of semiconductors. Metal-semiconductor contacts, pn junctions, bipolar transistors, and MOS field-effect transistors. Properties that are significant to device operation for integrated circuits. Silicon device fabrication technology. (F,SP) Javey, Subramanian, King Liu

230B.  Solid State Devices. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: 130 or equivalent. Formerly Electrical Engineering 231. Physical principles and operational characteristics of semiconductor devices. Emphasis is on MOS field-effect transistors and their behaviors dictated by present and probable future technologies. Metal-oxide-semiconductor systems, short-channel and high field effects, device modeling, and impact on analog, digital circuits. (SP) Subramanian, King Liu, Salahuddin

230C.  Solid State Electronics. (3)   Three hours of lecture per week. Prerequisites: 131; Physics 137B. Formerly Electrical Engineering 230. Crystal structure and symmetries. Energy-band theory. Cyclotron resonance. Tensor effective mass. Statistics of electronic state population. Recombination theory. Carrier transport theory. Interface properties. Optical processes and properties. (F,SP) Bokor, Salahuddin

W231.  Solid State Devices. (4)   Students will receive no credit for W231 after taking 231. Three hours of web-based lecture and one hour of web-based discussion per week. Prerequisites: 131 or equivalent; MAS-IC students only. Physical principles and operational characteristics of semiconductor devices. Emphasis is on MOS field-effect transistors and their behaviors dictated by present and probable future technologies. Metal-oxide-semiconductor systems, short-channel and high field effects, device modeling, and impact on analog, digital circuits. (F,SP) Subramanian, King Liu, Salahuddin

232.  Lightwave Devices. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Electrical Engineering 130 or equivalent; Physics 137A and Electrical Engineering 117 recommended. This course is designed to give an introduction and overview of the fundamentals of optoelectronic devices. Topics such as optical gain and absorption spectra, quantization effects, strained quantum wells, optical waveguiding and coupling, and hetero p-n junction will be covered. This course will focus on basic physics and design principles of semiconductor diode lasers, light emitting diodes, photodetectors and integrated optics. Practical applications of the devices will be also discussed. (F,SP) Wu

C235.  Nanoscale Fabrication. (4)   Three hours of lecture and one hour of discussion per week. This course discusses various top-down and bottom-up approaches to synthesizing and processing nanostructured materials. The topics include fundamentals of self assembly, nano-imprint lithography, electron beam lithography, nanowire and nanotube synthesis, quantum dot synthesis (strain patterned and colloidal), postsynthesis modification (oxidation, doping, diffusion, surface interactions, and etching techniques). In addition, techniques to bridging length scales such as heterogeneous integration will be discussed. We will discuss new electronic, optical, thermal, mechanical, and chemical properties brought forth by the very small sizes. Also listed as Nanoscale Science and Engineering C203. (F) Chang-Hasnain

236A.  Quantum and Optical Electronics. (3)   Three hours of lecture per week. Prerequisites: 117A, Physics 137A or equivalent. Interaction of radiation with atomic and semiconductor systems, density matrix treatment, semiclassical laser theory (Lamb's), laser resonators, specific laser systems, laser dynamics, Q-switching and mode-locking, noise in lasers and optical amplifiers. Nonlinear optics, phase-conjugation, electrooptics, acoustooptics and magnetooptics, coherent optics, stimulated Raman and Brillouin scattering. Offered alternate years. (F,SP) Staff

C239.  Partially Ionized Plasmas. (3)   Three hours of lecture per week. Prerequisites: Upper division course in electromagnetics or fluid dynamics. Formerly 239. Introduction to partially ionized, chemically reactive plasmas, including collisional processes, diffusion, sources, sheaths, boundaries, and diagnostics. DC, RF, and microwave discharges. Applications to plasma-assisted materials processing and to plasma wall interactions. Also listed as Applied Science and Technology C239. Offered alternate years. (SP) Staff

W240.  Advanced Analog Integrated Circuits. (3)   Students will receive no credit for W240 after taking 240. Three hours of web-based lecture per week. Prerequisites: W140; MAS-IC students only. Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converts. Switched-capacitor and CCD filters. Applications to codecs, modems. (F,SP) Staff

240A.  Linear Integrated Circuits. (4)   Students will receive no credit for Electrical Engineering 240A after taking El ectrical Engineering 140. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: Electrical Engineering 105. Single and multiple stage transistor amplifiers. Operational amplifiers. Feedback amplifiers, 2-port formulation, source, load, and feedback network loading. Frequency response of cascaded amplifiers, gain-bandwidth exchange, compensation, dominant pole techniques, root locus. Supply and temperature independent biasing and references. Selected applications of analog circuits such as analog-to-digital converters, switched capacitor filters, and comparators. Hardware laboratory and design project. (F,SP) Alon, Sanders

240B.  Advanced Analog Integrated Circuits. (3)   Three hours of lecture per week. Prerequisites: 140. Formerly Electrical Engineering 240. Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converters. Switched-capacitor and CCD filters. Applications to codecs, modems. (F,SP) Staff

240C.  Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits. (3)   Three hours of lecture per week. Prerequisites: Electrical Engineering 140. Formerly Electrical Engineering 247. Architectural and circuit level design and analysis of integrated analog-to-digital and digital-to-analog interfaces in CMOS and BiCMOS VLSI technology. Analog-digital converters, digital-analog converters, sample/hold amplifiers, continuous and switched-capacitor filters. RF integrated electronics including synthesizers, LNA's, and baseband processing. Low power mixed signal design. Data communications functions including clock recovery. CAD tools for analog design including simulation and synthesis. (F,SP) Boser

W241.  Advanced Digital Integrated Circuits. (3)   Students will receive no credit for W241 after taking 241. Three hours of web-based lecture per week. Prerequisites: W141; MAS-IC students only. Analysis and design of MOS and bipolar large-scale integrated circuits at the circuit level. Fabrication processes, device characteristics, parasitic effects static and dynamic digital circuits for logic and memory functions. Calculation of speed and power consumption from layout and fabrication parameters. ROM, RAM, EEPROM circuit design. Use of SPICE and other computer aids. (F,SP) Nikolic,Rabaey

241A.  Introduction to Digital Integrated Circuits. (4)   Students will receive no credit for Electrical Engineering 241A after taking Electrical Engineering 141. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: Electrical Engineering 40; Electrical Engineering 105 and Computer Science 150 recommended. CMOS devices and deep sub-micron manufacturing technology. CMOS inverters and complex gates. Modeling of interconnect wires. Optimization of designs with respect to a number of metrics: cost, reliability, performance, and power dissipation. Sequential circuits, timing considerations, and clocking approaches. Design of large system blocks, including arithmetic, interconnect, memories, and programmable logic arrays. Introduction to design methodologies, including hands-on experience. (F,SP) Alon, Rabaey

241B.  Advanced Digital Integrated Circuits. (3)   Three hours of lecture per week. Prerequisites: 141. Formerly Electrical Engineering 241. Analysis and design of MOS and bipolar large-scale integrated circuits at the circuit level. Fabrication processes, device characteristics, parasitic effects static and dynamic digital circuits for logic and memory functions. Calculation of speed and power consumption from layout and fabrication parameters. ROM, RAM, EEPROM circuit design. Use of SPICE and other computer aids. (SP) Nikolic, Rabaey

W242.  Advanced Integrated Circuits for Communications. (3)   Students will receive no credit for W242 after taking 242. Three hours of web-based lecture per week. Prerequisites: W140, W142, and MAS-IC students only. Analysis, evaluation, and design of present-day integrated circuits for communications application, particularly those for which nonlinear response must be included. MOS, bipolar and BICMOS circuits, audio and video power amplifiers, optimum performance of near-sinusoidal oscillators and frequency-translation circuits. Phase-locked loop ICs, analog multipliers and voltage-controlled oscillators; advanced components for telecommunication circuits. Use of new CAD tools and systems. (F,SP) Niknejad

242A.  Integrated Circuits for Communications. (4)   Students will receive no credit for Electrical Engineering 242A after taking Electrical Engineering 142. Three hours of lecture, one hour of discussion, and three hours of laboratory per week. Prerequisites: 20N and 140 or equivalent. Formerly Electrical Engineering 242M. Analysis and design of electronic circuits for communication systems, with an emphasis on integrated circuits for wireless communication systems. Analysis of noise and distortion in amplifiers with application to radio receiver design. Power amplifier design with application to wireless radio transmitters. Radio-frequency mixers, oscillators, phase-locked loops, modulators, and demodulators. (F,SP) Staff

242B.  Advanced Integrated Circuits for Communications. (3)   Three hours of lecture per week. Prerequisites: 142, 240. Formerly Electrical Engineering 242. Analysis, evaluation and design of present-day integrated circuits for communications application, particularly those for which nonlinear response must be included. MOS, bipolar and BICMOS circuits, audio and video power amplifiers, optimum performance of near-sinusoidal oscillators and frequency-translation circuits. Phase-locked loop ICs, analog multipliers and voltage-controlled oscillators; advanced components for telecommunication circuits. Use of new CAD tools and systems. (F,SP) Niknejad

243.  Advanced IC Processing and Layout. (3)   Three hours of lecture per week. Prerequisites: 143 and either 140 or 141. The key processes for the fabrication of integrated circuits. Optical, X-ray, and e-beam lithography, ion implantation, oxidation and diffusion. Thin film deposition. Wet and dry etching and ion milling. Effect of phase and defect equilibria on process control. (SP) Staff

244.  Fundamental Algorithms for Systems Modeling, Analysis, and Optimization. (4)   Four hours of lecture per week. Prerequisites: Graduate standing. The modeling, analysis, and optimization of complex systems requires a range of algorithms and design software. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as example. Topics include design flows, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software. Laboratory assignments and a class project will expose students to state-of-the-art. (F,SP) Keutzer, Lee, Roychowdhury, Seshia

W244.  Fundamental Algorithms for System Modeling, Analysis, and Optimization. (4)   Students will receive no credit for W244 after taking 144 and 244. Three hours of web-based lecture per week. Prerequisites: MAS-IC students only. The modeling, analysis, and optimization of complex systems require a range of algorithms and design tools. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as an example. Topics include design flows, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software. (F,SP) Keutzer, Lee, Roychowdhury, Seshia

C245.  Introduction to MEMS Design. (4)   Three hours of lecture and one hour of discussion per week. Prerequisites: Graduate standing in engineering or science; undergraduates with consent of instructor. Physics, fabrication, and design of micro-electromechanical systems (MEMS). Micro and nanofabrication processes, including silicon surface and bulk micromachining and non-silicon micromachining. Integration strategies and assembly processes. Microsensor and microactuator devices: electrostatic, piezoresistive, piezoelectric, thermal, magnetic transduction. Electronic position-sensing circuits and electrical and mechanical noise. CAD for MEMS. Design project is required. Also listed as Mechanical Engineering C218. (F,SP) Nguyen, Pister

W245.  Introduction to MEMS Design. (4)   Students will receive no credit for W245 after taking C245 and Mechanical Engineering C218. Three hours of web-based lecture and one hour of web-based discussion per week. Prerequisites: MAS-IC students only. Physics, fabrication and design of micro electromechanical systems (MEMS). Micro and nano-fabrication processes, including silicon surface and bulk micromachining and non-silicon micromachining. Integration strategies and assembly processes. Microsensor and microactuator devices: electrostatic, piezoresistive, piezoelectric, thermal, and magnetic transduction. Electronic position-sensing circuits and electrical and mechanical noise. CAD for MEMS. Design project is required. (F,SP) Nguyen,Pister

C246.  Parametric and Optimal Design of MEMS. (3)   Three hours of lecture per week. Prerequisites: Mechanical Engineering 119 and Mechanical Engineering C218/Electrical Engineering C245 are highly recommended but not mandatory. Parametric design and optimal design of MEMS. Emphasis on design, not fabrication. Analytic solution of MEMS design problems to determine the dimensions of MEMS structures for specified function. Trade-off of various performance requirements despite conflicting design requirements. Structures include flexure systems, accelerometers, and rate sensors. Also listed as Mechanical Engineering C219. (SP) Lin, Pisano

W247.  Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits. (3)   Students will receive no credit for W247 after taking 247. Three hours of web-based lecture per week. Prerequisites: W140; MAS-IC students only. Architectural and circuit level design and analysis of integrated analog-to-digital and digital-to-analog interfaces in modern CMOS and BiCMOS VLSI technology. Analog-digital converters, digital-analog converters, sample/hold amplifiers, continuous and switched-capacitor filters. Low power mixed signal design techniques. Data communications systems including interface circuity. CAD tools for analog design for simulation and synthesis. (F,SP) Boser

249.  Embedded System Design: Models, Validation, and Synthesis. (4)   Four hours of lecture and two hours of laboratory/discussion per week. Prerequisites: Background in SoC design, operating systems and compilers, or consent of instructor. Principles of embedded system design. Focus on design methodologies and foundations. Platform-based design and communication-based design and their relationship with design time, re-use, and performance. Models of computation and their use in design capture, manipulation, verification, and synthesis. Mapping into architecture and system platforms. Performance estimation. Scheduling and real-time requirements. Synchronous languages and time-triggered protocols to simplify the design process. Simulation techniques for highly programmable platforms. Synthesis and successive refinement: meta-model of computation. Use of design tools and analysis of their capabilities and limitations: Ptolemy, POLIS, Metropolis, VCC, Co-ware. (F) Sangiovanni-Vincentelli

C249.  Embedded System Design: Modeling, Analysis, and Synthesis. (4)   Students will receive no credit for Electrical Engineering C249/Civil and Environmental Engineering C289 after taking Electrical Engineering 249. Three hours of lecture, one hour of discussion, and two hours of laboratory per week. Prerequisites: Background in system design, mathematical modeling, and software, or consent of instructor. Principles of embedded system design. Focus on design methodologies and foundations. Platform-based design and communication-based design and their relationship with design time, re-use, and performance. Models of computation and their use in design capture, manipulation, verification, and synthesis. Mapping into architecture and systems platforms. Performance estimation. Scheduling and real-time requirements. Synchronous languages and time-triggered protocols to simplify the design process. Also listed as Civil and Environmental Engineering C289. (F,SP) Sangiovanni-Vincentelli

C249M.  Introduction to Embedded Systems. (4)   Students will receive no credit for Electrical Engineering C249M/Computer Science 249M after taking Electrical Engineering C149/Computer Science C149. Three hours of lecture and three hours of laboratory per week. Prerequisites: Electrical Engineering 20N, Computer Science 61C, 61CL, 70, or Mathematics 55. Consent of instructor. This course introduces students to the basics of models, analysis tools, and control for embedded systems operating in real time. Students learn how to combine physical processes with computation. Topics include models of computation, control, analysis and verification, interfacing with the physical world, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects. Also listed as Computer Science C249M. (F,SP) Lee, Seshia

290.  Advanced Topics in Electrical Engineering.   Course may be repeated for credit. One to three hours of lecture per week. Prerequisites: Consent of instructor. The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.

290A.  Advanced Topics in Computer-Aided Design. (1-3)  

290B.  Advanced Topics in Solid State Devices. (1-3)  

290C.  Advanced Topics in Circuit Design. (1-3)  

W290C.  Advanced Topics in Circuit Design. (3)   Course may be repeated for credit. Students will receive no credit for W290C after taking 290C. Three hours of web-based lecture per week. Prerequisites: MAS-IC students only. Seminar-style course presenting an in-depth perspective on one specific domain of integrated circuit design. Most often, this will address an application space that has become particularly relevant in recent times. Examples are serial links, ultra low-power design, wireless transceiver design, etc. (F,SP) Staff

290D.  Advanced Topics in Semiconductor Technology. (1-3)  

290F.  Advanced Topics in Photonics. (1-3)  

290N.  Advanced Topics in System Theory. (1-3)  

290O.  Advanced Topics in Control. (1-3)  

290P.  Advanced Topics in Bioelectronics. (1-3)  

290Q.  Advanced Topics in Communication Networks. (1-3)  

290S.  Advanced Topics in Communications and Information Theory. (1-3)  

290T.  Advanced Topics in Signal Processing. (1-3)  

290Y.  Organic Materials in Electronics. (3)   Prerequisites: 130; undergraduate general chemistry. Organic materials are seeing increasing application in electronics applications. This course will provide an overview of the properties of the major classes of organic materials with relevance to electronics. Students will study the technology, physics, and chemistry of their use in the three most rapidly growing major applications--energy conversion/generation devices (fuel cells and photovoltaics), organic light-emitting diodes, and organic transistors. (F,SP) Subramanian

C291.  Control and Optimization of Distributed Parameters Systems. (3)   Three hours of lecture per week. Distributed systems and PDE models of physical phenomena (propagation of waves, network traffic, water distribution, fluid mechanics, electromagnetism, blood vessels, beams, road pavement, structures, etc.). Fundamental solution methods for PDEs: separation of variables, self-similar solutions, characteristics, numerical methods, spectral methods. Stability analysis. Adjoint-based optimization. Lyapunov stabilization. Differential flatness. Viability control. Hamilton-Jacobi-based control. Also listed as Civil and Environmental Engineering C291F and Mechanical Engineering C236. (SP) Staff

C291E.  Hybrid Systems and Intelligent Control. (3)   Three hours of lecture per week. Formerly 291E. Analysis of hybrid systems formed by the interaction of continuous time dynamics and discrete-event controllers. Discrete-event systems models and language descriptions. Finite-state machines and automata. Model verification and control of hybrid systems. Signal-to-symbol conversion and logic controllers. Adaptive, neural, and fuzzy-control systems. Applications to robotics and Intelligent Vehicle and Highway Systems (IVHS). Also listed as Mechanical Engineering C290S. Staff

298.  Group Studies, Seminars, or Group Research. (1-4)   Course may be repeated for credit. One to four hours of lectures per unit. Section 1-40 to be graded on a satisfactory/unsatisfactory basis. Sections 41-49 to be graded on a letter-grade basis. Advanced study in various subjects through special seminars on topics to be selected each year, informal group studies of special problems, group participation in comprehensive design problems, or group research on complete problems for analysis and experimentation. (F,SP) Staff

299.  Individual Research. (1-12)   Course may be repeated for credit. Independent, individual study or investigation. Investigation of problems in electrical engineering. (F,SP) Staff

602.  Individual Study for Doctoral Students. (1-8)   Course may be repeated for credit. Course does not satisfy unit or residence requirements for doctoral degree. Independent study, in consultation with faculty member. Must be taken on a satisfactory/unsatisfactory basis. Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. (and other doctoral degrees). (F,SP) Staff

Professional Courses

375.  Teaching Techniques for Electrical Engineering. (1)   One and one-half hours of seminar per week. Must be taken on a satisfactory/unsatisfactory basis. Prerequisites: Graduate standing. Formerly Electrical Engineering 301. Weekly seminars and discussions of effective teaching techniques. Use of educational objectives, alternative forms of instruction, and special techniques for teaching key concepts and techniques in electrical engineering. Student and self-evaluation. Course is intended to orient new graduate student instructors to teaching in the Electrical Engineering Department at Berkeley. (F) Staff