Course List - Spring 2009

The scope and nature of professional activities of electrical and computer engineers, including problem-solving techniques, analysis, and design methods; using computers for communication and problem-solving tasks; engineering professional ethics; analysis of analog resistive circuits, including Thevenin/Norton equivalent, mesh analysis, and nodal analysis; representation of signals and systems; information processing; state machines. Three lecture hours and two laboratory hours a week for one semester. Electrical Engineering 302 and 302H may not both be counted. Prerequisite: Credit with a grade of at least C or registration for Mathematics 408C or 408K.

Bottom-up introduction to computing; bits and operations on bits; number formats; arithmetic and logic operations; digital logic; the Von Neumann model of processing, including memory, arithmetic logic unit, registers, and instruction decoding and execution; introduction to structured programming and debugging; machine and assembly language programming; the structure of an assembler; physical input/output through device registers; subroutine call/return; trap instruction; stacks and applications of stacks. Three lecture hours and one recitation hour a week for one semester. Electrical Engineering 306 and 379K (Topic: Introduction to Computing) may not both be counted. Prerequisite: Credit with a grade of at least C or registration for Mathematics 408C or 408K.

Linear circuit elements; nodal and mesh analysis; operational amplifiers; capacitance and inductance; simple transient response; sinusoidal steady state analysis; Bode plots; three-phase circuits; transformers; two-port networks (Z-parameters and Y-parameters); computer-aided analysis and design. Three lecture hours and two recitation hours a week for one semester. Prerequisite: Electrical Engineering 302 or 302H with a grade of at least C; credit with a grade of at least C or registration for Mathematics 427K; and credit with a grade of at least C or registration for Physics 303L and 103N.

Programming skills for problem solving; programming in C; elementary data structures; asymptotic analysis. Three lecture hours and one recitation hour a week for one semester. Prerequisite: Electrical Engineering 306 or Biomedical Engineering 303 with a grade of at least C.

Representation of signals and systems; system properties; sampling; Laplace and z-transforms; transfer functions and frequency response; convolution; stability; Fourier series; Fourier transform; AM/FM modulation; applications. Prerequisite: Electrical Engineering 411, 331, or Biomedical Engineering 311 with a grade of at least C; and Mathematics 427K with a grade of at least C.

Boolean algebra; analysis and synthesis of combinational and sequential switching networks; applications to computer design. Prerequisite: Electrical Engineering 306 or Computer Sciences 307 with a grade of at least C; and credit with a grade of at least C or registration for Electrical Engineering 312 or Computer Sciences 310.

Basic computer structure; instruction set; addressing modes; assembly language programming; subroutines; arithmetic operations; programming in C; C functions; basic data structures; input/output; and survey of several microcontrollers. Three lecture hours and one laboratory hour a week for one semester. Prerequisite: Electrical Engineering 306 or Biomedical Engineering 303 with a grade of at least C, and Electrical Engineering 312 with a grade of at least C.

Digital and analog parametric testing of mixed-signal circuits and systems, including frequency response, harmonic and intermodulation, and noise behavior; use of system-level test equipment, including network analyzers, spectrum analyzers, and probe stations; coherent v. noncoherent measurements; design for testability. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Electrical Engineering 438 (or 338) with a grade of at least C; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Programming with abstractions; data structures; algorithm analysis. Prerequisite: Electrical Engineering 312 with a grade of at least C.

Introduction to electrostatics and magnetostatics; properties of conductive, dielectric, and magnetic materials; solutions of Maxwell's equations; uniform plane wave applications; frequency- and time-domain analyses of transmission lines. Prerequisite: Physics 303L and 103N and Mathematics 427K with a grade of at least C in each.

This course covers the work period of electrical and computer engineering students in the Cooperative Engineering Program. Forty laboratory hours a week for three semesters. The student must complete Electrical Engineering 325LX, 325LY, and 325LZ before a grade and degree credit are awarded. Prerequisite: For 325LX, application to become a member of the Cooperative Engineering Program, approval of the dean, and appointment for a full-time cooperative work tour; for 325LY, Electrical Engineering 325LX and appointment for a full-time cooperative work tour; for 325LZ, Electrical Engineering 325LY and appointment for a full-time cooperative work tour.

This course covers the work period of electrical and computer engineering students in the Cooperative Engineering Program. Forty laboratory hours a week for three semesters. The student must complete Electrical Engineering 325LX, 325LY, and 325LZ before a grade and degree credit are awarded. Prerequisite: For 325LX, application to become a member of the Cooperative Engineering Program, approval of the dean, and appointment for a full-time cooperative work tour; for 325LY, Electrical Engineering 325LX and appointment for a full-time cooperative work tour; for 325LZ, Electrical Engineering 325LY and appointment for a full-time cooperative work tour.

This course covers the work period of electrical and computer engineering students in the Cooperative Engineering Program. Forty laboratory hours a week for three semesters. The student must complete Electrical Engineering 325LX, 325LY, and 325LZ before a grade and degree credit are awarded. Prerequisite: For 325LX, application to become a member of the Cooperative Engineering Program, approval of the dean, and appointment for a full-time cooperative work tour; for 325LY, Electrical Engineering 325LX and appointment for a full-time cooperative work tour; for 325LZ, Electrical Engineering 325LY and appointment for a full-time cooperative work tour.

This course covers the work period of electrical engineering students in the Cooperative Engineering Program. Forty laboratory hours a week for two semesters. The student must complete Electrical Engineering 225MA and 225MB before a grade and degree credit are awarded. Prerequisite: For 225MA, application to become a member of the Cooperative Engineering Program, approval of the dean, and appointment for a full-time cooperative work tour; for 225MB, Electrical Engineering 225MA and appointment for a full-time cooperative work tour.

This course covers the work period of electrical engineering students in the Cooperative Engineering Program. Forty laboratory hours a week for two semesters. The student must complete Electrical Engineering 225MA and 225MB before a grade and degree credit are awarded. Prerequisite: For 225MA, application to become a member of the Cooperative Engineering Program, approval of the dean, and appointment for a full-time cooperative work tour; for 225MB, Electrical Engineering 225MA and appointment for a full-time cooperative work tour.

Not open to electrical engineering majors. Brief theory of direct and alternating current circuits; single-phase and three-phase power transmission; electronic devices and instrumentation; electromechanics. Prerequisite: Mathematics 408D, Physics 303L, and 103N with a grade of at least C in each.

Advanced engineering communication skills, with emphasis on technical documents, oral reports, and graphics; collaborative work involving online communication and research. Prerequisite: English 316K with a grade of at least C.

Electronic devices in analog and digital circuits. Device physics and modeling; two-port networks; analysis and design of power supply circuits and amplifiers; frequency response; Bode plots. Laboratory work covers generation and acquisition of test signals; current, voltage, and impedance measurements; transfer function measurement; and spectrum measurements and analysis. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Credit with a grade of at least C or registration for Electrical Engineering 313 or Biomedical Engineering 343.

Electronic devices in analog and digital circuits. Device physics and modeling; two-port networks; analysis and design of power supply circuits and amplifiers; frequency response; Bode plots. Laboratory work covers generation and acquisition of test signals; current, voltage, and impedance measurements; transfer function measurement; and spectrum measurements and analysis. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Credit with a grade of at least C or registration for Electrical Engineering 313 or Biomedical Engineering 343.

Feedback principles; Bode plots; analysis and design of circuits with operational amplifiers and oscillators; filters; power amplifiers. Prerequisite: Electrical Engineering 438 with a grade of at least C.

Quantum theory of energy levels; semiconductor materials and carrier transport; p-n junctions and Schottky barriers; bipolar and field effect transistors; light-emitting diodes, lasers, and photodetectors. Prerequisite: Mathematics 427K and Physics 303L and 103N with a grade of at least C in each.

Integrated circuit fabrication: crystal growth and wafer preparation; epitaxial growth; oxidation, diffusion, and ion implantation; thin-film deposition techniques; lithography and etching processes; integrated circuit process integration and process simulation. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Electrical Engineering 438 and 339 with a grade of at least C in each; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Fundamentals of electromechanical interactions; electromechanical energy conversion; magnetic circuits, transformers, and energy conversion devices; introduction to power electronics. Prerequisite: Electrical Engineering 313 and 325 with a grade of at least C in each.

Microprocessor organization and interfacing; memory interfacing; hardware-software design of microprocessor systems; applications, including communication systems. Two lecture hours and six laboratory hours a week for one semester. Prerequisite: Electrical Engineering 319K, 322C, and 438 with a grade of at least C in each; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Embedded microcomputer systems; implementation of multitasking, synchronization, protection, and paging; operating systems for embedded microcomputers; design, optimization, evaluation, and simulation of digital and analog interfaces; real-time microcomputer software; applications, including data acquisition and control. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Electrical Engineering 345L or 345S with a grade of at least C; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Architectures of programmable digital signal processors; programming for real-time performance; design and implementation of digital filters, modulators, data scramblers, pulse shapers, and modems in real time; interfaces to telecommunications systems. Three lecture hours and three laboratory hours a week for one semester. Prerequisite: Electrical Engineering 319K and 438 with a grade of at least C in each; credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T; and credit with a grade of at least C or registration for Biomedical Engineering 335 or Electrical Engineering 351K.

Modern optical wave phenomena with applications to imaging, holography, fiber optics, lasers, and optical information processing. Prerequisite: Electrical Engineering 313 and 325 with a grade of at least C in each, or Biomedical Engineering 343 with a grade of at least C.

Probability, random variables, statistics, and random processes, including counting, independence, conditioning, expectation, density functions, distributions, law of large numbers, central limit theorem, confidence intervals, hypothesis testing, statistical estimation, stationary processes, Markov chains, and ergodicity. Prerequisite: Electrical Engineering 313 with a grade of at least C.

Sampling, aliasing, truncation effects; discrete and fast Fourier transform methods; convolution and deconvolution; finite and infinite impulse response filter design methods; Wiener, Kalman, noncausal, linear phase, median, and prediction filters; and spectral estimation. Prerequisite: Credit with a grade of at least C or registration for Biomedical Engineering 335 or Electrical Engineering 351K.

Presentations by speakers from industry, government, academia, and professional private practice. Topics include environmental and other ethical concerns, safety awareness, quality management, technical career descriptions, and professionalism. Substantial practice in engineering communication. One lecture hour a week for one semester. Prerequisite: English 316K with a grade of at least C.

Elective course open to upper-division students in electrical engineering for original investigation of special problems approved by the department. For each semester hour of credit earned, the equivalent of three laboratory hours a week for one semester. May be repeated for credit. Prerequisite: Consent of instructor.

Elective course open to upper-division students in electrical engineering for original investigation of special problems approved by the department. For each semester hour of credit earned, the equivalent of three laboratory hours a week for one semester. May be repeated for credit. Prerequisite: Consent of instructor.

Elective course open to upper-division students in electrical engineering for original investigation of special problems approved by the department. For each semester hour of credit earned, the equivalent of three laboratory hours a week for one semester. May be repeated for credit. Prerequisite: Consent of instructor.

Elective course open to upper-division students in electrical engineering for original investigation of special problems approved by the department. For each semester hour of credit earned, the equivalent of three laboratory hours a week for one semester. May be repeated for credit. Prerequisite: Consent of instructor.

Complexity analysis; advanced combinatorial algorithms; algorithm design principles; intractability. Prerequisite: Electrical Engineering 322C with a grade of at least C; and Mathematics 325K or Philosophy 313K with a grade of at least C.

Hardware implementation of arithmetic and other algorithmic processes; hardware description languages (VHDL); organization, design, and simulation of digital systems. Prerequisite: Electrical Engineering 316 and 319K with a grade of at least C in each.

Characteristics of instruction set architecture and microarchitecture; physical and virtual memory; caches and cache design; interrupts and exceptions; integer and floating-point arithmetic; I/O processing; buses; pipelining, out-of-order execution, branch prediction, and other performance enhancements; design trade-offs; case studies of commercial microprocessors. Laboratory work includes completing the behavioral-level design of a microarchitecture. Three lecture hours and one laboratory/recitation hour a week for one semester. Prerequisite: Electrical Engineering 316 and 319K with a grade of at least C in each.

Concurrency, synchronization, resource allocation, deadlock, and scheduling; multithreaded programming; client/server distributed systems programming. Prerequisite: Credit with a grade of at least C or registration for Electrical Engineering 345L.

Theory and practice of integrated circuit design. Classes of chip design, chip partitioning, and architecture; computer-aided design tools for simulation and physical design. Prerequisite: Electrical Engineering 316, 438 (or 338), and 339 with a grade of at least C in each.

Circuit-level aspects of metal oxide silicon (MOS) and bipolar integrated circuit technologies. Logic gates and latches; propagation delays; circuit simulation models. Prerequisite: Electrical Engineering 438 (or 338) and 339 with a grade of at least C in each.

Analysis of linear automatic control systems in time and frequency domains; stability analysis; state variable analysis of continuous-time and discrete-time systems; root locus; Nyquist diagrams; Bode plots; sensitivity; lead and lag compensation. Prerequisite: Electrical Engineering 438 and Mathematics 340L with a grade of at least C in each.

Analysis, design, and operation of power electronic circuits; power conversion from AC to DC, DC to DC, and DC to AC; rectifiers, inverters, and pulse width modulated motor drives. Laboratory work focuses on the use of energy from renewable sources such as photovoltaics and wind. Two lecture hours and one and one-half laboratory hours a week for one semester. Prerequisite: Electrical Engineering 438 or 331 (or 331K) with a grade of at least C; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Design and experimental projects, done in the laboratories of local companies, for electrical engineering students working full-time in industry; the ethics of design for safety and reliability; emphasis on written and oral reporting of engineering projects. Three lecture hours a week for one semester, with additional laboratory hours to be arranged. Prerequisite: Electrical Engineering 364D and 366 with a grade of at least C in each; and Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L with a grade of at least C.

Introduction to the engineering design process; assessing engineering problems and customer needs; acquiring, documenting, and verifying requirements; high-level system design principles; effects of economic, environmental, ethical, safety, and social issues in design; writing design specifications. Two lecture hours and three laboratory hours a week for one semester. Prerequisite: Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T, with a grade of at least C; credit with a grade of at least C or registration for Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L; and credit with a grade of at least C or registration for Electrical Engineering 366.

Design and experimental projects done with teams of students from multiple engineering disciplines; the ethics of design for safety and reliability; emphasis on written and oral reporting of engineering projects. Three lecture hours a week for one semester, with additional laboratory hours to be arranged. Prerequisite: Electrical Engineering 364D and 366 with a grade of at least C in each; and Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L with a grade of at least C.

Restricted to students in the Engineering Honors Program. Design and experimental projects done under the direction of a University faculty member; the ethics of design for safety and reliability; emphasis on written and oral reporting of engineering projects. Three lecture hours a week for one semester, with additional laboratory hours to be arranged. Prerequisite: Electrical Engineering 364D and 366 with a grade of at least C in each; Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L with a grade of at least C; and a University grade point average of at least 3.50.

Design and experimental projects done in Department of Electrical and Computer Engineering laboratories; the ethics of design for safety and reliability; emphasis on written and oral reporting of engineering projects. Three lecture hours and six laboratory hours a week for one semester. Prerequisite: Electrical Engineering 364D and 366 with a grade of at least C in each; and Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L with a grade of at least C.

Design and experimental projects done under the supervision of a University faculty member; the ethics of design for safety and reliability; emphasis on written and oral reporting of engineering projects. Three lecture hours a week for one semester, with additional laboratory hours to be arranged. Prerequisite: Electrical Engineering 364D and 366 with a grade of at least C in each; and Electrical Engineering 321K, 440, 345L, 345S, 362L, 371C, 372L, or 374L with a grade of at least C.

Business organization; discounted cash flow calculations, including present-worth and rate-of-return calculations; replacement analyses; financial analyses; accounting and depreciation; income taxes; inflation; risk analysis, utility theory, decision models, sequential decision making; value of information. Prerequisite: Credit or registration for Electrical Engineering 351K.

Fundamentals of risk management, including portfolio theory, capital asset pricing theory, and effects of financing; hedging risks using forwards, futures, options, and other derivatives; stochastic models of price behavior. Prerequisite: Electrical Engineering 366 with a grade of at least C.

Statistical analysis applied to the development and control of manufacturing operations; quality control, statistical process control, and design of experiments. Prerequisite: Electrical Engineering 351K with a grade of at least C.

Circuit and packet-switched networks; local area networks; protocol stacks; ATM and broadband ISDN; Internet; routing, congestion control, and performance evaluation; multimedia applications. Electrical Engineering 372N and 379K (Topic 14: Telecommunication Networks) may not both be counted. Prerequisite: Electrical Engineering 351K with a grade of at least C.

An in-depth examination of selected topics in biomedical engineering, such as optical and thermal properties of laser interaction with tissue; measurement of perfusion in the microvascular system; diagnostic imaging; interaction of living systems with electromagnetic fields; robotic surgical tools; ophthalmic instrumentation; noninvasive cardiovascular measurements. Three lecture hours and six laboratory hours a week for one semester. Prerequisite: Electrical Engineering 374K with a grade of at least C; and credit with a grade of at least C or registration for Aerospace Engineering 333T, Biomedical Engineering 333T, Chemical Engineering 333T, Civil Engineering 333T, Electrical Engineering 333T, Mechanical Engineering 333T, or Petroleum and Geosystems Engineering 333T.

Research performed during two consecutive semesters under the supervision of an engineering faculty member; topics are selected jointly by the student and the faculty member with approval by the director of the Engineering Honors Program. The student makes an oral presentation and writes a thesis. Individual instruction for two semesters. Students pursuing both the Bachelor of Arts, Plan II, and a bachelor's degree in engineering may use this course to fulfill the thesis requirement for the Bachelor of Arts, Plan II. Prerequisite: For 679HA, enrollment in the Engineering Honors Program; for 679HB, Electrical Engineering 679HA with a grade of at least C and enrollment in the Engineering Honors Program.

Research performed during two consecutive semesters under the supervision of an engineering faculty member; topics are selected jointly by the student and the faculty member with approval by the director of the Engineering Honors Program. The student makes an oral presentation and writes a thesis. Individual instruction for two semesters. Students pursuing both the Bachelor of Arts, Plan II, and a bachelor's degree in engineering may use this course to fulfill the thesis requirement for the Bachelor of Arts, Plan II. Prerequisite: For 679HA, enrollment in the Engineering Honors Program; for 679HB, Electrical Engineering 679HA with a grade of at least C and enrollment in the Engineering Honors Program.

The equivalent of three lecture hours a week for one semester. May be repeated for credit when the topics vary. Prerequisite: Upper-division standing.

Topic 1: Conference Course:

Topic 15: Information Theory: Measures of information; noiseless coding and data compression; discrete memoryless channels and channel capacity; broadcast channels; error-correcting codes. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic 20: Computer Architecture; Personal Computer Design: Commercial general purpose processors, memory architecture, buses, storage devices, graphics subsystems, I/O devices and peripherals, audio subsystems, operating systems, benchmarking, manufacturing, and testing of personal computer systems. One class meeting may take place outside of normally scheduled class time for a tour of a PC manufacturing site. Additional prerequisite: Electrical Engineering 360N with a grade of at least C.

Topic 21: Information and Cryptography: Information theory; construction of codes; cryptography, including security and randomized encryption; Kolmogorov complexity; statistics, including large deviations, nonparametrics, and information inequalities; Vapnik-Cervonenkis methods for learning theory. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic: Introduction to Data Mining: Goals, methods and applications of datamining; data pre-processing, sampling and visualization; algorithms for machine learning: clustering, classification and prediction/forecasting, mining of information (content, link structure and usage) from the world wide web; search engines design and analysis of social networks; statistical methods. Electrical Engineering 361M and 379K (Topic: Introduction to Data Mining) may not both be counted. Prerequisite: Electrical Engineering 351K and 322C, and Mathematics 340L with a grade of at least C in each.

The equivalent of three lecture hours a week for one semester. May be repeated for credit when the topics vary. Prerequisite: Upper-division standing.

Topic 1: Conference Course:

Topic 15: Information Theory: Measures of information; noiseless coding and data compression; discrete memoryless channels and channel capacity; broadcast channels; error-correcting codes. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic 20: Computer Architecture; Personal Computer Design: Commercial general purpose processors, memory architecture, buses, storage devices, graphics subsystems, I/O devices and peripherals, audio subsystems, operating systems, benchmarking, manufacturing, and testing of personal computer systems. One class meeting may take place outside of normally scheduled class time for a tour of a PC manufacturing site. Additional prerequisite: Electrical Engineering 360N with a grade of at least C.

Topic 21: Information and Cryptography: Information theory; construction of codes; cryptography, including security and randomized encryption; Kolmogorov complexity; statistics, including large deviations, nonparametrics, and information inequalities; Vapnik-Cervonenkis methods for learning theory. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic: Introduction to Data Mining: Goals, methods and applications of datamining; data pre-processing, sampling and visualization; algorithms for machine learning: clustering, classification and prediction/forecasting, mining of information (content, link structure and usage) from the world wide web; search engines design and analysis of social networks; statistical methods. Electrical Engineering 361M and 379K (Topic: Introduction to Data Mining) may not both be counted. Prerequisite: Electrical Engineering 351K and 322C, and Mathematics 340L with a grade of at least C in each.

The equivalent of three lecture hours a week for one semester. May be repeated for credit when the topics vary. Prerequisite: Upper-division standing.

Topic 1: Conference Course:

Topic 15: Information Theory: Measures of information; noiseless coding and data compression; discrete memoryless channels and channel capacity; broadcast channels; error-correcting codes. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic 20: Computer Architecture; Personal Computer Design: Commercial general purpose processors, memory architecture, buses, storage devices, graphics subsystems, I/O devices and peripherals, audio subsystems, operating systems, benchmarking, manufacturing, and testing of personal computer systems. One class meeting may take place outside of normally scheduled class time for a tour of a PC manufacturing site. Additional prerequisite: Electrical Engineering 360N with a grade of at least C.

Topic 21: Information and Cryptography: Information theory; construction of codes; cryptography, including security and randomized encryption; Kolmogorov complexity; statistics, including large deviations, nonparametrics, and information inequalities; Vapnik-Cervonenkis methods for learning theory. Additional prerequisite: Electrical Engineering 351K with a grade of at least C.

Topic: Introduction to Data Mining: Goals, methods and applications of datamining; data pre-processing, sampling and visualization; algorithms for machine learning: clustering, classification and prediction/forecasting, mining of information (content, link structure and usage) from the world wide web; search engines design and analysis of social networks; statistical methods. Electrical Engineering 361M and 379K (Topic: Introduction to Data Mining) may not both be counted. Prerequisite: Electrical Engineering 351K and 322C, and Mathematics 340L with a grade of at least C in each.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 5: Engineering Programming Languages: Higher-level languages for engineering design and problem solving; object-oriented programming in C++ and UNIX systems programming.

Topic 6: Operating Systems Input/output systems calls, drivers and descriptors, and integrated circuits. Design and implementation of hardware and software for a UNIX-like operating system.

Topic 7: Introduction to Pattern Recognition and Computer Vision: Pattern recognition topics, including Bayesian decision theory, maximum likelihood and estimation, nonparametric techniques, and linear discriminant functions. Computer vision topics, including geometric camera models and calibration, geometry of multiple views and stereopsis, structure from motion, and tracking. Emphasis varies each semester.

Topic 8: Computer Vision Systems: Discussion of current research results and exploration of new directions in computer vision systems. Includes linear discriminant functions, nonmetric methods, unsupervised learning and clustering, model-based vision, segmentation using probabilistic methods, and content-based image and video analysis. Application of the techniques to real-world vision systems. Emphasis varies each semester.

Topic 9: Artificial Neural Systems: Feed-forward networks, distributed associative memory, recurrent networks, self-organization, parallel implementation, and applications.

Topic 10: Data Mining: Analyzing large data sets for interesting and useful information. Includes online analytical processing, finding association rules, clustering, classification, and function approximations. Scalability of algorithms and real-life applications.

Topic 11: Mining the Web: Analysis of data and information available from the World Wide Web. Exploiting the hyperlink structure of the Web for developing better search engines. Content analysis, information retrieval, clustering, and hierarchical categorization of Web documents. Web usage mining. Collaborative filtering and personalizing the Web. Additional prerequisite: Electrical Engineering 380L (Topic 10: Data Mining) or Computer Sciences 391L.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 5: Engineering Programming Languages: Higher-level languages for engineering design and problem solving; object-oriented programming in C++ and UNIX systems programming.

Topic 6: Operating Systems Input/output systems calls, drivers and descriptors, and integrated circuits. Design and implementation of hardware and software for a UNIX-like operating system.

Topic 7: Introduction to Pattern Recognition and Computer Vision: Pattern recognition topics, including Bayesian decision theory, maximum likelihood and estimation, nonparametric techniques, and linear discriminant functions. Computer vision topics, including geometric camera models and calibration, geometry of multiple views and stereopsis, structure from motion, and tracking. Emphasis varies each semester.

Topic 8: Computer Vision Systems: Discussion of current research results and exploration of new directions in computer vision systems. Includes linear discriminant functions, nonmetric methods, unsupervised learning and clustering, model-based vision, segmentation using probabilistic methods, and content-based image and video analysis. Application of the techniques to real-world vision systems. Emphasis varies each semester.

Topic 9: Artificial Neural Systems: Feed-forward networks, distributed associative memory, recurrent networks, self-organization, parallel implementation, and applications.

Topic 10: Data Mining: Analyzing large data sets for interesting and useful information. Includes online analytical processing, finding association rules, clustering, classification, and function approximations. Scalability of algorithms and real-life applications.

Topic 11: Mining the Web: Analysis of data and information available from the World Wide Web. Exploiting the hyperlink structure of the Web for developing better search engines. Content analysis, information retrieval, clustering, and hierarchical categorization of Web documents. Web usage mining. Collaborative filtering and personalizing the Web. Additional prerequisite: Electrical Engineering 380L (Topic 10: Data Mining) or Computer Sciences 391L.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing, and Electrical Engineering 380K or consent of instructor.

Topic 1: Nonlinear Systems: Input-Output Properties:

Topic 2: Nonlinear Systems: Geometric Theory:

Topic 3: Adaptive Control Systems:

Topic 4: Learning Systems and Cybernetic Machines:

Topic 5: Stochastic Control Theory: Dynamic programming in finite and infinite horizon, models with imperfect state information, ergodic control problems, adaptive and risk-sensitive control. Additional prerequisite: Electrical Engineering 381J.

Topic 7: Computer Control of Manufacturing Systems:

Topic 8: Algorithms for Parallel and Distributed Computation: Same as Computational and Applied Mathematics 380N.

Topic 9: Fundamentals of Robotics and Mechatronics: Theory of robotics and mechatronics, with emphasis on control, sensing, actuation, low- and high-level vision. Introduction to manipulator geometry, kinematics, dynamics, and planning of trajectories. Robotics laboratory.

Topic 10: Robotics II:

Topic 11: Optimization in Engineering Systems: Formulation and solution of continuous optimization problems in engineering design.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing, and Electrical Engineering 380K or consent of instructor.

Topic 1: Nonlinear Systems: Input-Output Properties:

Topic 2: Nonlinear Systems: Geometric Theory:

Topic 3: Adaptive Control Systems:

Topic 4: Learning Systems and Cybernetic Machines:

Topic 5: Stochastic Control Theory: Dynamic programming in finite and infinite horizon, models with imperfect state information, ergodic control problems, adaptive and risk-sensitive control. Additional prerequisite: Electrical Engineering 381J.

Topic 7: Computer Control of Manufacturing Systems:

Topic 8: Algorithms for Parallel and Distributed Computation: Same as Computational and Applied Mathematics 380N.

Topic 9: Fundamentals of Robotics and Mechatronics: Theory of robotics and mechatronics, with emphasis on control, sensing, actuation, low- and high-level vision. Introduction to manipulator geometry, kinematics, dynamics, and planning of trajectories. Robotics laboratory.

Topic 10: Robotics II:

Topic 11: Optimization in Engineering Systems: Formulation and solution of continuous optimization problems in engineering design.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Detection Theory:

Topic 2: Digital Communications: Characterization of communication signals and systems (bandpass signals and systems, signal space representation, digitally modulated signals, and spectral characteristics), optimum receivers for additive white Gaussian noise (correlation demodulator, matched-filter demodulator, performance for binary and M-ary modulation, and noncoherent receivers), error control codes (block and convolutional), and bandlimited channels (ISI and equalization). Additional prerequisite: Electrical Engineering 351K, 351M, and 360K.

Topic 3: Satellite Communication: Overview of satellite communication systems, including analog and digital transmission, link budgets, RF aspects, onboard systems, earth stations, current satellite communication systems and services, Global Positioning Systems (GPS), the role of standards and regulations, and orbital mechanics. Additional prerequisite: A graduate or upper-division introductory communication course.

Topic 4: Performance Evaluation:

Topic 5: Advanced Telecommunication Networks: Methods and research issues in the performance evaluation and management of high-speed and mobile communication networks. Additional prerequisite: Electrical Engineering 380N (Topic 11: Optimization in Engineering Systems), 381J, and 381K (Topic 13).

Topic 6: Estimation Theory:

Topic 7: Information Theory: Source and channel coding theorems, Kolmogorov complexity, network information theory, and connections with large deviations. Additional prerequisite: Electrical Engineering 371M.

Topic 8: Digital Signal Processing: Signals and systems; generalized functions; z-transforms; Fourier series and transforms; fast Fourier transform; sampling, quantization, and aliasing; digital filter design; discrete-time random processes; multirate processing; filter banks and subband decomposition; nonlinear digital filters. Additional prerequisite: Electrical Engineering 351K and 351M.

Topic 9: Advanced Signal Processing: Signal modeling; optimum filtering; spectral estimation; fast algorithms; and applications in array signal processing, speech coding, and digital communication. Additional prerequisite: Electrical Engineering 351K, 381K (Topic 8), and Mathematics 340L.

Topic 11: Wireless Communications: Introduction to fundamental aspects of wireless communications. Channel modeling, radio propagation, cellular concepts, fading and multipath countermeasures (equalization, diversity, channel coding), spread spectrum, and basic multiple access techniques. Additional prerequisite: Electrical Engineering 351K and 371M, or their equivalents.

Topic 13: Analysis and Design of Communication Networks: Stochastic and deterministic traffic and queueing models. Techniques for call admission, routing, flow control, network optimization, estimation, and decision making in uncertain environments. Additional prerequisite: Electrical Engineering 381J and 382N (Topic 5: Communication Networks: Technology, Architectures, and Protocols).

Topic 14: Multidimensional Digital Signal Processing: Multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Additional prerequisite: Electrical Engineering 380K, 381K (Topic 8), or 383P (Topic 1: Fourier Optics).

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Detection Theory:

Topic 2: Digital Communications: Characterization of communication signals and systems (bandpass signals and systems, signal space representation, digitally modulated signals, and spectral characteristics), optimum receivers for additive white Gaussian noise (correlation demodulator, matched-filter demodulator, performance for binary and M-ary modulation, and noncoherent receivers), error control codes (block and convolutional), and bandlimited channels (ISI and equalization). Additional prerequisite: Electrical Engineering 351K, 351M, and 360K.

Topic 3: Satellite Communication: Overview of satellite communication systems, including analog and digital transmission, link budgets, RF aspects, onboard systems, earth stations, current satellite communication systems and services, Global Positioning Systems (GPS), the role of standards and regulations, and orbital mechanics. Additional prerequisite: A graduate or upper-division introductory communication course.

Topic 4: Performance Evaluation:

Topic 5: Advanced Telecommunication Networks: Methods and research issues in the performance evaluation and management of high-speed and mobile communication networks. Additional prerequisite: Electrical Engineering 380N (Topic 11: Optimization in Engineering Systems), 381J, and 381K (Topic 13).

Topic 6: Estimation Theory:

Topic 7: Information Theory: Source and channel coding theorems, Kolmogorov complexity, network information theory, and connections with large deviations. Additional prerequisite: Electrical Engineering 371M.

Topic 8: Digital Signal Processing: Signals and systems; generalized functions; z-transforms; Fourier series and transforms; fast Fourier transform; sampling, quantization, and aliasing; digital filter design; discrete-time random processes; multirate processing; filter banks and subband decomposition; nonlinear digital filters. Additional prerequisite: Electrical Engineering 351K and 351M.

Topic 9: Advanced Signal Processing: Signal modeling; optimum filtering; spectral estimation; fast algorithms; and applications in array signal processing, speech coding, and digital communication. Additional prerequisite: Electrical Engineering 351K, 381K (Topic 8), and Mathematics 340L.

Topic 11: Wireless Communications: Introduction to fundamental aspects of wireless communications. Channel modeling, radio propagation, cellular concepts, fading and multipath countermeasures (equalization, diversity, channel coding), spread spectrum, and basic multiple access techniques. Additional prerequisite: Electrical Engineering 351K and 371M, or their equivalents.

Topic 13: Analysis and Design of Communication Networks: Stochastic and deterministic traffic and queueing models. Techniques for call admission, routing, flow control, network optimization, estimation, and decision making in uncertain environments. Additional prerequisite: Electrical Engineering 381J and 382N (Topic 5: Communication Networks: Technology, Architectures, and Protocols).

Topic 14: Multidimensional Digital Signal Processing: Multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Additional prerequisite: Electrical Engineering 380K, 381K (Topic 8), or 383P (Topic 1: Fourier Optics).

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Detection Theory:

Topic 2: Digital Communications: Characterization of communication signals and systems (bandpass signals and systems, signal space representation, digitally modulated signals, and spectral characteristics), optimum receivers for additive white Gaussian noise (correlation demodulator, matched-filter demodulator, performance for binary and M-ary modulation, and noncoherent receivers), error control codes (block and convolutional), and bandlimited channels (ISI and equalization). Additional prerequisite: Electrical Engineering 351K, 351M, and 360K.

Topic 3: Satellite Communication: Overview of satellite communication systems, including analog and digital transmission, link budgets, RF aspects, onboard systems, earth stations, current satellite communication systems and services, Global Positioning Systems (GPS), the role of standards and regulations, and orbital mechanics. Additional prerequisite: A graduate or upper-division introductory communication course.

Topic 4: Performance Evaluation:

Topic 5: Advanced Telecommunication Networks: Methods and research issues in the performance evaluation and management of high-speed and mobile communication networks. Additional prerequisite: Electrical Engineering 380N (Topic 11: Optimization in Engineering Systems), 381J, and 381K (Topic 13).

Topic 6: Estimation Theory:

Topic 7: Information Theory: Source and channel coding theorems, Kolmogorov complexity, network information theory, and connections with large deviations. Additional prerequisite: Electrical Engineering 371M.

Topic 8: Digital Signal Processing: Signals and systems; generalized functions; z-transforms; Fourier series and transforms; fast Fourier transform; sampling, quantization, and aliasing; digital filter design; discrete-time random processes; multirate processing; filter banks and subband decomposition; nonlinear digital filters. Additional prerequisite: Electrical Engineering 351K and 351M.

Topic 9: Advanced Signal Processing: Signal modeling; optimum filtering; spectral estimation; fast algorithms; and applications in array signal processing, speech coding, and digital communication. Additional prerequisite: Electrical Engineering 351K, 381K (Topic 8), and Mathematics 340L.

Topic 11: Wireless Communications: Introduction to fundamental aspects of wireless communications. Channel modeling, radio propagation, cellular concepts, fading and multipath countermeasures (equalization, diversity, channel coding), spread spectrum, and basic multiple access techniques. Additional prerequisite: Electrical Engineering 351K and 371M, or their equivalents.

Topic 13: Analysis and Design of Communication Networks: Stochastic and deterministic traffic and queueing models. Techniques for call admission, routing, flow control, network optimization, estimation, and decision making in uncertain environments. Additional prerequisite: Electrical Engineering 381J and 382N (Topic 5: Communication Networks: Technology, Architectures, and Protocols).

Topic 14: Multidimensional Digital Signal Processing: Multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Additional prerequisite: Electrical Engineering 380K, 381K (Topic 8), or 383P (Topic 1: Fourier Optics).

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Detection Theory:

Topic 2: Digital Communications: Characterization of communication signals and systems (bandpass signals and systems, signal space representation, digitally modulated signals, and spectral characteristics), optimum receivers for additive white Gaussian noise (correlation demodulator, matched-filter demodulator, performance for binary and M-ary modulation, and noncoherent receivers), error control codes (block and convolutional), and bandlimited channels (ISI and equalization). Additional prerequisite: Electrical Engineering 351K, 351M, and 360K.

Topic 3: Satellite Communication: Overview of satellite communication systems, including analog and digital transmission, link budgets, RF aspects, onboard systems, earth stations, current satellite communication systems and services, Global Positioning Systems (GPS), the role of standards and regulations, and orbital mechanics. Additional prerequisite: A graduate or upper-division introductory communication course.

Topic 4: Performance Evaluation:

Topic 5: Advanced Telecommunication Networks: Methods and research issues in the performance evaluation and management of high-speed and mobile communication networks. Additional prerequisite: Electrical Engineering 380N (Topic 11: Optimization in Engineering Systems), 381J, and 381K (Topic 13).

Topic 6: Estimation Theory:

Topic 7: Information Theory: Source and channel coding theorems, Kolmogorov complexity, network information theory, and connections with large deviations. Additional prerequisite: Electrical Engineering 371M.

Topic 8: Digital Signal Processing: Signals and systems; generalized functions; z-transforms; Fourier series and transforms; fast Fourier transform; sampling, quantization, and aliasing; digital filter design; discrete-time random processes; multirate processing; filter banks and subband decomposition; nonlinear digital filters. Additional prerequisite: Electrical Engineering 351K and 351M.

Topic 9: Advanced Signal Processing: Signal modeling; optimum filtering; spectral estimation; fast algorithms; and applications in array signal processing, speech coding, and digital communication. Additional prerequisite: Electrical Engineering 351K, 381K (Topic 8), and Mathematics 340L.

Topic 11: Wireless Communications: Introduction to fundamental aspects of wireless communications. Channel modeling, radio propagation, cellular concepts, fading and multipath countermeasures (equalization, diversity, channel coding), spread spectrum, and basic multiple access techniques. Additional prerequisite: Electrical Engineering 351K and 371M, or their equivalents.

Topic 13: Analysis and Design of Communication Networks: Stochastic and deterministic traffic and queueing models. Techniques for call admission, routing, flow control, network optimization, estimation, and decision making in uncertain environments. Additional prerequisite: Electrical Engineering 381J and 382N (Topic 5: Communication Networks: Technology, Architectures, and Protocols).

Topic 14: Multidimensional Digital Signal Processing: Multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Additional prerequisite: Electrical Engineering 380K, 381K (Topic 8), or 383P (Topic 1: Fourier Optics).

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Detection Theory:

Topic 2: Digital Communications: Characterization of communication signals and systems (bandpass signals and systems, signal space representation, digitally modulated signals, and spectral characteristics), optimum receivers for additive white Gaussian noise (correlation demodulator, matched-filter demodulator, performance for binary and M-ary modulation, and noncoherent receivers), error control codes (block and convolutional), and bandlimited channels (ISI and equalization). Additional prerequisite: Electrical Engineering 351K, 351M, and 360K.

Topic 3: Satellite Communication: Overview of satellite communication systems, including analog and digital transmission, link budgets, RF aspects, onboard systems, earth stations, current satellite communication systems and services, Global Positioning Systems (GPS), the role of standards and regulations, and orbital mechanics. Additional prerequisite: A graduate or upper-division introductory communication course.

Topic 4: Performance Evaluation:

Topic 5: Advanced Telecommunication Networks: Methods and research issues in the performance evaluation and management of high-speed and mobile communication networks. Additional prerequisite: Electrical Engineering 380N (Topic 11: Optimization in Engineering Systems), 381J, and 381K (Topic 13).

Topic 6: Estimation Theory:

Topic 7: Information Theory: Source and channel coding theorems, Kolmogorov complexity, network information theory, and connections with large deviations. Additional prerequisite: Electrical Engineering 371M.

Topic 8: Digital Signal Processing: Signals and systems; generalized functions; z-transforms; Fourier series and transforms; fast Fourier transform; sampling, quantization, and aliasing; digital filter design; discrete-time random processes; multirate processing; filter banks and subband decomposition; nonlinear digital filters. Additional prerequisite: Electrical Engineering 351K and 351M.

Topic 9: Advanced Signal Processing: Signal modeling; optimum filtering; spectral estimation; fast algorithms; and applications in array signal processing, speech coding, and digital communication. Additional prerequisite: Electrical Engineering 351K, 381K (Topic 8), and Mathematics 340L.

Topic 11: Wireless Communications: Introduction to fundamental aspects of wireless communications. Channel modeling, radio propagation, cellular concepts, fading and multipath countermeasures (equalization, diversity, channel coding), spread spectrum, and basic multiple access techniques. Additional prerequisite: Electrical Engineering 351K and 371M, or their equivalents.

Topic 13: Analysis and Design of Communication Networks: Stochastic and deterministic traffic and queueing models. Techniques for call admission, routing, flow control, network optimization, estimation, and decision making in uncertain environments. Additional prerequisite: Electrical Engineering 381J and 382N (Topic 5: Communication Networks: Technology, Architectures, and Protocols).

Topic 14: Multidimensional Digital Signal Processing: Multidimensional signals and systems, multidimensional discrete Fourier analysis, discrete cosine transform, two-dimensional filters, beamforming, seismic processing, tomography, multidimensional multirate systems, image halftoning, and video processing. Additional prerequisite: Electrical Engineering 380K, 381K (Topic 8), or 383P (Topic 1: Fourier Optics).

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Engineering Design of Software and Software Systems: The software development process; selection and application of software design methods; evaluation of software designs.

Topic 2: Creation and Maintenance of Distributed Software Systems: Creation of large distributed software applications, with emphasis on specification, failure models, correctness, security.

Topic 3: Verification and Validation of Software: Evaluation of software for correctness, efficiency, performance, and reliability.

Topic 4: Software/Hardware Engineering Project Management: Requirements for a project management plan; role of the manager of the software development life cycle; economic and customer-driven factors.

Topic 5: Large Software/Hardware/Communications Systems Engineering: Techniques used to specify and design systems of software, hardware, and communications components. Creation of a requirements document and system specification.

Topic 6: Software for Highly-Available Distributed Applications:

Topic 7: Software Architectures: Software engineering approaches; scenario-based engineering processes to analyze problem domain; domain modeling and representations; creation of component-based reference architecture providing an object-oriented representation of system requirements.

Topic 8: Methodologies for Hardware/Software Codesign: Techniques used to design complex hardware/software systems; emphasis on specification, modeling, estimation, partitioning, verification/validation, and synthesis.

Topic 9: Embedded Software Systems: Dataflow models, uniprocessor and multiprocessor scheduling, hardware/software codesign, hierarchical finite state machines, synchronous languages, reactive systems, synchronous/reactive languages, heterogeneous systems.

Topic 10: Empirical Studies in Software Engineering:

Topic 11: Requirements Engineering:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Engineering Design of Software and Software Systems: The software development process; selection and application of software design methods; evaluation of software designs.

Topic 2: Creation and Maintenance of Distributed Software Systems: Creation of large distributed software applications, with emphasis on specification, failure models, correctness, security.

Topic 3: Verification and Validation of Software: Evaluation of software for correctness, efficiency, performance, and reliability.

Topic 4: Software/Hardware Engineering Project Management: Requirements for a project management plan; role of the manager of the software development life cycle; economic and customer-driven factors.

Topic 5: Large Software/Hardware/Communications Systems Engineering: Techniques used to specify and design systems of software, hardware, and communications components. Creation of a requirements document and system specification.

Topic 6: Software for Highly-Available Distributed Applications:

Topic 7: Software Architectures: Software engineering approaches; scenario-based engineering processes to analyze problem domain; domain modeling and representations; creation of component-based reference architecture providing an object-oriented representation of system requirements.

Topic 8: Methodologies for Hardware/Software Codesign: Techniques used to design complex hardware/software systems; emphasis on specification, modeling, estimation, partitioning, verification/validation, and synthesis.

Topic 9: Embedded Software Systems: Dataflow models, uniprocessor and multiprocessor scheduling, hardware/software codesign, hierarchical finite state machines, synchronous languages, reactive systems, synchronous/reactive languages, heterogeneous systems.

Topic 10: Empirical Studies in Software Engineering:

Topic 11: Requirements Engineering:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: VLSI Testing: Hardware and software reliability analysis of digital systems; testing, design for testability, self-diagnosis, fault-tolerant logic design, error-detecting and error-correcting codes.

Topic 2: Dependable Computing: Design techniques for reliable, fault-tolerant, fail-safe and fail-soft systems; fault diagnosis and fault avoidance methods at program and system levels; experimental and commercial fault-tolerant computer systems.

Topic 4: Digital Systems Simulation: Uses and limitations of simulation algorithms for digital circuits and systems.

Topic 7: VLSI I: CMOS technology; structured digital circuits; VLSI systems; computer-aided design tools and theory for design automation; chip design.

Topic 8: VLSI II: Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration.

Topic 9: Simulation Methods in CAD/VLSI: Techniques and algorithms for simulating large-scale digital and analog circuits.

Topic 10: Synthesis of Digital Systems: Automatic generation of gate-level implementations from HDL specifications; optimization of two-level, multilevel, and sequential circuits for area, speed, and testability.

Topic 11: Verification of Digital Systems: Automatic verification of digital systems; formal models and specifications, equivalence checking, design verification, temporal logic, BDDs, logical foundations, automata theory, recent developments.

Topic 12: System Design Metrics: Analysis of design at chip, board, and system levels; life cycle implications of design decisions, including design for testability effects on production and field service; economic and customer-driven factors.

Topic 13: Analysis and Design of Digital Integrated Circuits:

Topic 14: Analog Integrated Circuit Design:

Topic 15: Computer Performance Evaluation and Benchmarking: Performance metrics, benchmarks, measurement tools and techniques, simulation, trace generation, sampling, analytical modeling, workload characterization, statistical methods to compare alternatives, linear regression, and design of experiments.

Topic 16: Application-Specific Processing:

Topic 17: High-Level Synthesis of Digital Systems:

Topic 18: Java Processing: The Java run-time environment, Java Virtual Machine, processing Java in interpreted and JIT compilation modes, Java processors, Java benchmarks, characterization of Java workloads, performance impact of Java, optimizing microprocessors for Java.

Topic 19: Mixed-Signal System Design and Modeling:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: VLSI Testing: Hardware and software reliability analysis of digital systems; testing, design for testability, self-diagnosis, fault-tolerant logic design, error-detecting and error-correcting codes.

Topic 2: Dependable Computing: Design techniques for reliable, fault-tolerant, fail-safe and fail-soft systems; fault diagnosis and fault avoidance methods at program and system levels; experimental and commercial fault-tolerant computer systems.

Topic 4: Digital Systems Simulation: Uses and limitations of simulation algorithms for digital circuits and systems.

Topic 7: VLSI I: CMOS technology; structured digital circuits; VLSI systems; computer-aided design tools and theory for design automation; chip design.

Topic 8: VLSI II: Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration.

Topic 9: Simulation Methods in CAD/VLSI: Techniques and algorithms for simulating large-scale digital and analog circuits.

Topic 10: Synthesis of Digital Systems: Automatic generation of gate-level implementations from HDL specifications; optimization of two-level, multilevel, and sequential circuits for area, speed, and testability.

Topic 11: Verification of Digital Systems: Automatic verification of digital systems; formal models and specifications, equivalence checking, design verification, temporal logic, BDDs, logical foundations, automata theory, recent developments.

Topic 12: System Design Metrics: Analysis of design at chip, board, and system levels; life cycle implications of design decisions, including design for testability effects on production and field service; economic and customer-driven factors.

Topic 13: Analysis and Design of Digital Integrated Circuits:

Topic 14: Analog Integrated Circuit Design:

Topic 15: Computer Performance Evaluation and Benchmarking: Performance metrics, benchmarks, measurement tools and techniques, simulation, trace generation, sampling, analytical modeling, workload characterization, statistical methods to compare alternatives, linear regression, and design of experiments.

Topic 16: Application-Specific Processing:

Topic 17: High-Level Synthesis of Digital Systems:

Topic 18: Java Processing: The Java run-time environment, Java Virtual Machine, processing Java in interpreted and JIT compilation modes, Java processors, Java benchmarks, characterization of Java workloads, performance impact of Java, optimizing microprocessors for Java.

Topic 19: Mixed-Signal System Design and Modeling:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: VLSI Testing: Hardware and software reliability analysis of digital systems; testing, design for testability, self-diagnosis, fault-tolerant logic design, error-detecting and error-correcting codes.

Topic 2: Dependable Computing: Design techniques for reliable, fault-tolerant, fail-safe and fail-soft systems; fault diagnosis and fault avoidance methods at program and system levels; experimental and commercial fault-tolerant computer systems.

Topic 4: Digital Systems Simulation: Uses and limitations of simulation algorithms for digital circuits and systems.

Topic 7: VLSI I: CMOS technology; structured digital circuits; VLSI systems; computer-aided design tools and theory for design automation; chip design.

Topic 8: VLSI II: Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration.

Topic 9: Simulation Methods in CAD/VLSI: Techniques and algorithms for simulating large-scale digital and analog circuits.

Topic 10: Synthesis of Digital Systems: Automatic generation of gate-level implementations from HDL specifications; optimization of two-level, multilevel, and sequential circuits for area, speed, and testability.

Topic 11: Verification of Digital Systems: Automatic verification of digital systems; formal models and specifications, equivalence checking, design verification, temporal logic, BDDs, logical foundations, automata theory, recent developments.

Topic 12: System Design Metrics: Analysis of design at chip, board, and system levels; life cycle implications of design decisions, including design for testability effects on production and field service; economic and customer-driven factors.

Topic 13: Analysis and Design of Digital Integrated Circuits:

Topic 14: Analog Integrated Circuit Design:

Topic 15: Computer Performance Evaluation and Benchmarking: Performance metrics, benchmarks, measurement tools and techniques, simulation, trace generation, sampling, analytical modeling, workload characterization, statistical methods to compare alternatives, linear regression, and design of experiments.

Topic 16: Application-Specific Processing:

Topic 17: High-Level Synthesis of Digital Systems:

Topic 18: Java Processing: The Java run-time environment, Java Virtual Machine, processing Java in interpreted and JIT compilation modes, Java processors, Java benchmarks, characterization of Java workloads, performance impact of Java, optimizing microprocessors for Java.

Topic 19: Mixed-Signal System Design and Modeling:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: VLSI Testing: Hardware and software reliability analysis of digital systems; testing, design for testability, self-diagnosis, fault-tolerant logic design, error-detecting and error-correcting codes.

Topic 2: Dependable Computing: Design techniques for reliable, fault-tolerant, fail-safe and fail-soft systems; fault diagnosis and fault avoidance methods at program and system levels; experimental and commercial fault-tolerant computer systems.

Topic 4: Digital Systems Simulation: Uses and limitations of simulation algorithms for digital circuits and systems.

Topic 7: VLSI I: CMOS technology; structured digital circuits; VLSI systems; computer-aided design tools and theory for design automation; chip design.

Topic 8: VLSI II: Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration.

Topic 9: Simulation Methods in CAD/VLSI: Techniques and algorithms for simulating large-scale digital and analog circuits.

Topic 10: Synthesis of Digital Systems: Automatic generation of gate-level implementations from HDL specifications; optimization of two-level, multilevel, and sequential circuits for area, speed, and testability.

Topic 11: Verification of Digital Systems: Automatic verification of digital systems; formal models and specifications, equivalence checking, design verification, temporal logic, BDDs, logical foundations, automata theory, recent developments.

Topic 12: System Design Metrics: Analysis of design at chip, board, and system levels; life cycle implications of design decisions, including design for testability effects on production and field service; economic and customer-driven factors.

Topic 13: Analysis and Design of Digital Integrated Circuits:

Topic 14: Analog Integrated Circuit Design:

Topic 15: Computer Performance Evaluation and Benchmarking: Performance metrics, benchmarks, measurement tools and techniques, simulation, trace generation, sampling, analytical modeling, workload characterization, statistical methods to compare alternatives, linear regression, and design of experiments.

Topic 16: Application-Specific Processing:

Topic 17: High-Level Synthesis of Digital Systems:

Topic 18: Java Processing: The Java run-time environment, Java Virtual Machine, processing Java in interpreted and JIT compilation modes, Java processors, Java benchmarks, characterization of Java workloads, performance impact of Java, optimizing microprocessors for Java.

Topic 19: Mixed-Signal System Design and Modeling:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: VLSI Testing: Hardware and software reliability analysis of digital systems; testing, design for testability, self-diagnosis, fault-tolerant logic design, error-detecting and error-correcting codes.

Topic 2: Dependable Computing: Design techniques for reliable, fault-tolerant, fail-safe and fail-soft systems; fault diagnosis and fault avoidance methods at program and system levels; experimental and commercial fault-tolerant computer systems.

Topic 4: Digital Systems Simulation: Uses and limitations of simulation algorithms for digital circuits and systems.

Topic 7: VLSI I: CMOS technology; structured digital circuits; VLSI systems; computer-aided design tools and theory for design automation; chip design.

Topic 8: VLSI II: Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration.

Topic 9: Simulation Methods in CAD/VLSI: Techniques and algorithms for simulating large-scale digital and analog circuits.

Topic 10: Synthesis of Digital Systems: Automatic generation of gate-level implementations from HDL specifications; optimization of two-level, multilevel, and sequential circuits for area, speed, and testability.

Topic 11: Verification of Digital Systems: Automatic verification of digital systems; formal models and specifications, equivalence checking, design verification, temporal logic, BDDs, logical foundations, automata theory, recent developments.

Topic 12: System Design Metrics: Analysis of design at chip, board, and system levels; life cycle implications of design decisions, including design for testability effects on production and field service; economic and customer-driven factors.

Topic 13: Analysis and Design of Digital Integrated Circuits:

Topic 14: Analog Integrated Circuit Design:

Topic 15: Computer Performance Evaluation and Benchmarking: Performance metrics, benchmarks, measurement tools and techniques, simulation, trace generation, sampling, analytical modeling, workload characterization, statistical methods to compare alternatives, linear regression, and design of experiments.

Topic 16: Application-Specific Processing:

Topic 17: High-Level Synthesis of Digital Systems:

Topic 18: Java Processing: The Java run-time environment, Java Virtual Machine, processing Java in interpreted and JIT compilation modes, Java processors, Java benchmarks, characterization of Java workloads, performance impact of Java, optimizing microprocessors for Java.

Topic 19: Mixed-Signal System Design and Modeling:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 3: Interconnection Networks: Topologies, routing algorithms, permutations, resource allocations, performance evaluation, fault tolerance, VLSI design, parallel/distributed algorithms, languages for specifying protocols, distributed operating systems.

Topic 4: Advanced Embedded Microcontroller Systems: Hardware and software design of microcontroller systems; applications, including communication systems; object-oriented and operating systems approaches to interfacing and resource management.

Topic 5: Communication Networks: Technology, Architectures, and Protocols: Network services and techniques, layered architectures, circuit and packet-switching networks, internetworking, switch architectures, control mechanisms, and economic issues.

Topic 10: Parallel Computer Architecture: Study of parallel computing, including models, algorithms, languages, compilers, interconnection networks, and architectures.

Topic 11: Distributed Systems: Concurrent programming languages, distributed algorithms, distributed operating systems, distributed data, formal models of concurrency, protection and security in computer networks.

Topic 12: Discrete Event Systems: Models for discrete event systems, state machines, Petri nets, algebraic models, temporal logic, control of discrete event systems, observability, stability, simulation.

Topic 14: High-Speed Computer Arithmetic I: Design of computer arithmetic units: fast adders, fast multipliers, dividers, and floating-point arithmetic units.

Topic 15: High-Speed Computer Arithmetic II: Advanced topics in computer arithmetic, including error correcting coding, residue number systems, CORDIC arithmetic, and VLSI implementation. Additional prerequisite: Electrical Engineering 382N (Topic 14).

Topic 16: Distributed Information System Security:

Topic 17: Superscalar Microprocessor Architectures: Superscalar processor architectures, comparison with VLIW processors, program parallelism, performance evaluation, trace generation, memory systems, branch prediction.

Topic 18: Distributed Systems II:

Topic 19: Microarchitecture:

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 3: Interconnection Networks: Topologies, routing algorithms, permutations, resource allocations, performance evaluation, fault tolerance, VLSI design, parallel/distributed algorithms, languages for specifying protocols, distributed operating systems.

Topic 4: Advanced Embedded Microcontroller Systems: Hardware and software design of microcontroller systems; applications, including communication systems; object-oriented and operating systems approaches to interfacing and resource management.

Topic 5: Communication Networks: Technology, Architectures, and Protocols: Network services and techniques, layered architectures, circuit and packet-switching networks, internetworking, switch architectures, control mechanisms, and economic issues.

Topic 10: Parallel Computer Architecture: Study of parallel computing, including models, algorithms, languages, compilers, interconnection networks, and architectures.

Topic 11: Distributed Systems: Concurrent programming languages, distributed algorithms, distributed operating systems, distributed data, formal models of concurrency, protection and security in computer networks.

Topic 12: Discrete Event Systems: Models for discrete event systems, state machines, Petri nets, algebraic models, temporal logic, control of discrete event systems, observability, stability, simulation.

Topic 14: High-Speed Computer Arithmetic I: Design of computer arithmetic units: fast adders, fast multipliers, dividers, and floating-point arithmetic units.

Topic 15: High-Speed Computer Arithmetic II: Advanced topics in computer arithmetic, including error correcting coding, residue number systems, CORDIC arithmetic, and VLSI implementation. Additional prerequisite: Electrical Engineering 382N (Topic 14).

Topic 16: Distributed Information System Security:

Topic 17: Superscalar Microprocessor Architectures: Superscalar processor architectures, comparison with VLIW processors, program parallelism, performance evaluation, trace generation, memory systems, branch prediction.

Topic 18: Distributed Systems II:

Topic 19: Microarchitecture:

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing in engineering, mathematics, chemistry, or physics; or graduate standing and consent of instructor.

Topic 1: Fourier Optics: Fourier transforming properties of lenses, frequency analysis of optical imaging systems, spatial filtering, introduction to optical information processing and holography.

Topic 3: Techniques of Laser Communications: Optical propagation in crystalline media, harmonic generation, frequency conversion, and modulation systems.

Topic 4: Fiber and Integrated Optics I: Waveguiding in slabs, cylinders, and fibers. Optical fiber communications principles. Mode coupling. Guided-wave optical sources, modulators, and detectors.

Topic 5: Fiber and Integrated Optics II: Principles and practices of guided-wave optical sensor technology. Nonlinear optical effects in fibers, including amplification and fiber lasers.

Topic 6: Optoelectronic Devices: Optical fiber transmission. Light-emitting diodes and semiconductor lasers. Optical amplifiers. Photodetectors. Optoelectronic integrated circuits. Guided-wave devices.

Topic 8: Optical Communications:

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Acoustics I: Same as Mechanical Engineering 384N (Topic 1: Acoustics). Plane waves in fluids; transient and steady-state reflection and transmission; lumped elements; refraction; strings, membranes, and rooms; horns; ray acoustics; absorption and dispersion.

Topic 2: Acoustics II: Same as Mechanical Engineering 384N (Topic 2: Acoustics II). Rigorous derivation of acoustic wave equation; spherical and cylindrical waves; source theory; vibrating piston; enclosures; waveguides; arrays; diffraction. Additional prerequisite: Electrical Engineering 384N (Topic 1) or Mechanical Engineering 384N (Topic 1: Acoustics I).

Topic 3: Electromechanical Transducers: Same as Mechanical Engineering 384N (Topic 3: Electromechanical Transducers). Electrical, mechanical, and acoustical dynamics; principles of energy conversion, transducer laws, and representation; effects of the transducer characteristics on accuracy and efficiency of energy transformation. Biomedical Engineering 384N (Topic 3: Electromechanical Sensors/Actuators) and Electrical Engineering 384N (Topic 3) may not both be counted.

Topic 4: Nonlinear Acoustics: Same as Mechnical Engineering 384N (Topic 4: Nonlinear Acoustics). Distortion and shock formation in finite amplitude waves; harmonic generation and spectral interactions; absorption and dispersion; radiation pressure; acoustic streaming; weak shock theory; numerical modeling; diffraction of intense sound beams; parametric arrays.

Topic 5: Underwater Acoustics: Same as Mechanical Engineering 384N (Topic 5: Underwater Acoustics). Acoustical properties of the ocean; point sources and Green's functions; reflection phenomena; ray theory; normal mode theory; guided waves in horizontally stratified fluid media; WKB and parabolic approximations. Additional prerequisite: Electrical Engineering 384N (Topic 1), Mechanical Engineering 384N (Topic 1: Acoustics I), or consent of instructor.

Topic 6: Noise Control: Same as Mechanical Engineering 384N (Topic 6: Noise Control). Acoustic modeling techniques; panel radiation theory; absorption, barrier, and enclosure design; diagnosis based on experimental data.

Topic 7: Ultrasonics: Same as Mechanical Engineering 384N (Topic 7: Ultrasonics). Acoustic wave propagation in liquids and solids and at interfaces; transducers, arrays; imaging and sonar systems. Biomedical Engineering 384N (Topic 7: Ultrasonics) and Electrical Engineering 384N (Topic 7) may not both be counted.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Acoustics I: Same as Mechanical Engineering 384N (Topic 1: Acoustics). Plane waves in fluids; transient and steady-state reflection and transmission; lumped elements; refraction; strings, membranes, and rooms; horns; ray acoustics; absorption and dispersion.

Topic 2: Acoustics II: Same as Mechanical Engineering 384N (Topic 2: Acoustics II). Rigorous derivation of acoustic wave equation; spherical and cylindrical waves; source theory; vibrating piston; enclosures; waveguides; arrays; diffraction. Additional prerequisite: Electrical Engineering 384N (Topic 1) or Mechanical Engineering 384N (Topic 1: Acoustics I).

Topic 3: Electromechanical Transducers: Same as Mechanical Engineering 384N (Topic 3: Electromechanical Transducers). Electrical, mechanical, and acoustical dynamics; principles of energy conversion, transducer laws, and representation; effects of the transducer characteristics on accuracy and efficiency of energy transformation. Biomedical Engineering 384N (Topic 3: Electromechanical Sensors/Actuators) and Electrical Engineering 384N (Topic 3) may not both be counted.

Topic 4: Nonlinear Acoustics: Same as Mechnical Engineering 384N (Topic 4: Nonlinear Acoustics). Distortion and shock formation in finite amplitude waves; harmonic generation and spectral interactions; absorption and dispersion; radiation pressure; acoustic streaming; weak shock theory; numerical modeling; diffraction of intense sound beams; parametric arrays.

Topic 5: Underwater Acoustics: Same as Mechanical Engineering 384N (Topic 5: Underwater Acoustics). Acoustical properties of the ocean; point sources and Green's functions; reflection phenomena; ray theory; normal mode theory; guided waves in horizontally stratified fluid media; WKB and parabolic approximations. Additional prerequisite: Electrical Engineering 384N (Topic 1), Mechanical Engineering 384N (Topic 1: Acoustics I), or consent of instructor.

Topic 6: Noise Control: Same as Mechanical Engineering 384N (Topic 6: Noise Control). Acoustic modeling techniques; panel radiation theory; absorption, barrier, and enclosure design; diagnosis based on experimental data.

Topic 7: Ultrasonics: Same as Mechanical Engineering 384N (Topic 7: Ultrasonics). Acoustic wave propagation in liquids and solids and at interfaces; transducers, arrays; imaging and sonar systems. Biomedical Engineering 384N (Topic 7: Ultrasonics) and Electrical Engineering 384N (Topic 7) may not both be counted.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Acoustics I: Same as Mechanical Engineering 384N (Topic 1: Acoustics). Plane waves in fluids; transient and steady-state reflection and transmission; lumped elements; refraction; strings, membranes, and rooms; horns; ray acoustics; absorption and dispersion.

Topic 2: Acoustics II: Same as Mechanical Engineering 384N (Topic 2: Acoustics II). Rigorous derivation of acoustic wave equation; spherical and cylindrical waves; source theory; vibrating piston; enclosures; waveguides; arrays; diffraction. Additional prerequisite: Electrical Engineering 384N (Topic 1) or Mechanical Engineering 384N (Topic 1: Acoustics I).

Topic 3: Electromechanical Transducers: Same as Mechanical Engineering 384N (Topic 3: Electromechanical Transducers). Electrical, mechanical, and acoustical dynamics; principles of energy conversion, transducer laws, and representation; effects of the transducer characteristics on accuracy and efficiency of energy transformation. Biomedical Engineering 384N (Topic 3: Electromechanical Sensors/Actuators) and Electrical Engineering 384N (Topic 3) may not both be counted.

Topic 4: Nonlinear Acoustics: Same as Mechnical Engineering 384N (Topic 4: Nonlinear Acoustics). Distortion and shock formation in finite amplitude waves; harmonic generation and spectral interactions; absorption and dispersion; radiation pressure; acoustic streaming; weak shock theory; numerical modeling; diffraction of intense sound beams; parametric arrays.

Topic 5: Underwater Acoustics: Same as Mechanical Engineering 384N (Topic 5: Underwater Acoustics). Acoustical properties of the ocean; point sources and Green's functions; reflection phenomena; ray theory; normal mode theory; guided waves in horizontally stratified fluid media; WKB and parabolic approximations. Additional prerequisite: Electrical Engineering 384N (Topic 1), Mechanical Engineering 384N (Topic 1: Acoustics I), or consent of instructor.

Topic 6: Noise Control: Same as Mechanical Engineering 384N (Topic 6: Noise Control). Acoustic modeling techniques; panel radiation theory; absorption, barrier, and enclosure design; diagnosis based on experimental data.

Topic 7: Ultrasonics: Same as Mechanical Engineering 384N (Topic 7: Ultrasonics). Acoustic wave propagation in liquids and solids and at interfaces; transducers, arrays; imaging and sonar systems. Biomedical Engineering 384N (Topic 7: Ultrasonics) and Electrical Engineering 384N (Topic 7) may not both be counted.

May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Acoustics I: Same as Mechanical Engineering 384N (Topic 1: Acoustics). Plane waves in fluids; transient and steady-state reflection and transmission; lumped elements; refraction; strings, membranes, and rooms; horns; ray acoustics; absorption and dispersion.

Topic 2: Acoustics II: Same as Mechanical Engineering 384N (Topic 2: Acoustics II). Rigorous derivation of acoustic wave equation; spherical and cylindrical waves; source theory; vibrating piston; enclosures; waveguides; arrays; diffraction. Additional prerequisite: Electrical Engineering 384N (Topic 1) or Mechanical Engineering 384N (Topic 1: Acoustics I).

Topic 3: Electromechanical Transducers: Same as Mechanical Engineering 384N (Topic 3: Electromechanical Transducers). Electrical, mechanical, and acoustical dynamics; principles of energy conversion, transducer laws, and representation; effects of the transducer characteristics on accuracy and efficiency of energy transformation. Biomedical Engineering 384N (Topic 3: Electromechanical Sensors/Actuators) and Electrical Engineering 384N (Topic 3) may not both be counted.

Topic 4: Nonlinear Acoustics: Same as Mechnical Engineering 384N (Topic 4: Nonlinear Acoustics). Distortion and shock formation in finite amplitude waves; harmonic generation and spectral interactions; absorption and dispersion; radiation pressure; acoustic streaming; weak shock theory; numerical modeling; diffraction of intense sound beams; parametric arrays.

Topic 5: Underwater Acoustics: Same as Mechanical Engineering 384N (Topic 5: Underwater Acoustics). Acoustical properties of the ocean; point sources and Green's functions; reflection phenomena; ray theory; normal mode theory; guided waves in horizontally stratified fluid media; WKB and parabolic approximations. Additional prerequisite: Electrical Engineering 384N (Topic 1), Mechanical Engineering 384N (Topic 1: Acoustics I), or consent of instructor.

Topic 6: Noise Control: Same as Mechanical Engineering 384N (Topic 6: Noise Control). Acoustic modeling techniques; panel radiation theory; absorption, barrier, and enclosure design; diagnosis based on experimental data.

Topic 7: Ultrasonics: Same as Mechanical Engineering 384N (Topic 7: Ultrasonics). Acoustic wave propagation in liquids and solids and at interfaces; transducers, arrays; imaging and sonar systems. Biomedical Engineering 384N (Topic 7: Ultrasonics) and Electrical Engineering 384N (Topic 7) may not both be counted.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in engineering and consent of instructor.

Topic 3: Bioelectric Phenomena: Same as Biomedical Engineering 384J (Topic 4: Bioelectric Phenomena). Examines the physiological bases of bioelectricity and the techniques required to record bioelectric phenomena both intracellularly and extracellularly; the representation of bioelectric activity by equivalent dipoles and the volume conductor fields produced.

Topic 9: Laser-Tissue Interaction: Thermal: Same as Biomedical Engineering 381J (Topic 1: Laser-Tissue Interaction: Thermal). The thermal response of random media in interaction with laser irradiation. Calculation of the rate of heat production caused by direct absorption of the laser light, thermal damage, and ablation.

Topic 15: Biosignal Analysis: Same as Biomedical Engineering 384J (Topic 3: Biosignal Analysis). Theory and classification of biological signals such as EEG, EKG, and EMG. Data acquisition and analysis procedures for biological signals, including computer applications.

Topic 16: Laser-Tissue Interaction: Optical: Same as Biomedical Engineering 381J (Topic 2: Laser-Tissue Interaction: Optical). The optical behavior of random media such as tissue in interaction with laser irradiation. Approximate transport equation methods to predict the absorption and scattering parameters of laser light inside tissue. Port-wine stain treatment; cancer treatment by photochemotherapy; and cardiovascular applications.

Topic 17: Biomedical Instrumentation II: Real-Time Computer-Based Systems: Same as Biomedical Engineering 384J (Topic 2: Biomedical Instrumentation II: Real-Time Computer-Based Systems). Design, testing, patient safety, electrical noise, biomedical measurement transducers, therapeutics, instrumentation electronics, microcomputer interfaces, and embedded systems. Four structured laboratories and an individual project laboratory.

Topic 18: Biomedical Imaging: Signals and Systems: Same as Biomedical Engineering 381J (Topic 3: Biomedical Imaging: Signals and Systems). Physical principles and signal processing techniques used in thermographic, ultrasonic, and radiographic imaging, including image reconstruction from projections such as CT scanning, MRI, and millimeter wave determination of temperature profiles. Additional prerequisite: Electrical Engineering 371R.

Topic 23: Optical Spectroscopy: Same as Biomedical Engineering 381J (Topic 4: Optical Spectroscopy). Measurement and interpretation of spectra: steady-state and time-resolved absorption, fluorescence, phosphorescence, and Raman spectroscopy in the ultraviolet, visible, and infrared portions of the spectrum.

Topic 26: Therapeutic Heating: Same as Biomedical Engineering 381J (Topic 5: Therapeutic Heating). Engineering aspects of electromagnetic fields that have therapeutic applications: diathermy (short wave, microwave, and ultrasound), electrosurgery (thermal damage processes), stimulation of excitable tissue, and electrical safety.

Topic 28: Noninvasive Optical Tomography: Same as Biomedical Engineering 381J (Topic 6: Noninvasive Optical Tomography). Basic principles of optical tomographic imaging of biological materials for diagnostic or therapeutic applications. Optical-based tomographic imaging techniques including photothermal, photoacoustic, and coherent methodologies.

Topic 31: Biomedical Instrumentation I: Same as Biomedical Engineering 384J (Topic 1: Biomedical Instrumentation I). Application of electrical engineering techniques to analysis and instrumentation in biological sciences: pressure, flow, temperature measurement; bioelectrical signals; pacemakers; ultrasonics; electrical safety; electrotherapeutics.

Topic 32: Projects in Biomedical Engineering: Same as Biomedical Engineering 384J (Topic 5: Projects in Biomedical Engineering). An in-depth examination of selected topics, such as optical and thermal properties of laser interaction with tissue; measurement of perfusion in the microvascular system; diagnostic imaging; interaction of living systems with electromagnetic fields; robotic surgical tools; ophthalmic instrumentation; noninvasive cardiovascular measurements. Three lecture hours and six laboratory hours a week for one semester. Additional prerequisite: Electrical Engineering 385J (Topic 31).

Topic 33: Neurophysiology/Prosthesis Design: Same as Biomedical Engineering 384J (Topic 6: Neurophysiology/Prosthesis Design). The structure and function of the human brain. Discussion of selected neurological diseases in conjunction with normal neurophysiology. Study of neuroprosthesis treatments and design philosophy, functional neural stimulation, and functional muscular stimulation.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in engineering and consent of instructor.

Topic 3: Bioelectric Phenomena: Same as Biomedical Engineering 384J (Topic 4: Bioelectric Phenomena). Examines the physiological bases of bioelectricity and the techniques required to record bioelectric phenomena both intracellularly and extracellularly; the representation of bioelectric activity by equivalent dipoles and the volume conductor fields produced.

Topic 9: Laser-Tissue Interaction: Thermal: Same as Biomedical Engineering 381J (Topic 1: Laser-Tissue Interaction: Thermal). The thermal response of random media in interaction with laser irradiation. Calculation of the rate of heat production caused by direct absorption of the laser light, thermal damage, and ablation.

Topic 15: Biosignal Analysis: Same as Biomedical Engineering 384J (Topic 3: Biosignal Analysis). Theory and classification of biological signals such as EEG, EKG, and EMG. Data acquisition and analysis procedures for biological signals, including computer applications.

Topic 16: Laser-Tissue Interaction: Optical: Same as Biomedical Engineering 381J (Topic 2: Laser-Tissue Interaction: Optical). The optical behavior of random media such as tissue in interaction with laser irradiation. Approximate transport equation methods to predict the absorption and scattering parameters of laser light inside tissue. Port-wine stain treatment; cancer treatment by photochemotherapy; and cardiovascular applications.

Topic 17: Biomedical Instrumentation II: Real-Time Computer-Based Systems: Same as Biomedical Engineering 384J (Topic 2: Biomedical Instrumentation II: Real-Time Computer-Based Systems). Design, testing, patient safety, electrical noise, biomedical measurement transducers, therapeutics, instrumentation electronics, microcomputer interfaces, and embedded systems. Four structured laboratories and an individual project laboratory.

Topic 18: Biomedical Imaging: Signals and Systems: Same as Biomedical Engineering 381J (Topic 3: Biomedical Imaging: Signals and Systems). Physical principles and signal processing techniques used in thermographic, ultrasonic, and radiographic imaging, including image reconstruction from projections such as CT scanning, MRI, and millimeter wave determination of temperature profiles. Additional prerequisite: Electrical Engineering 371R.

Topic 23: Optical Spectroscopy: Same as Biomedical Engineering 381J (Topic 4: Optical Spectroscopy). Measurement and interpretation of spectra: steady-state and time-resolved absorption, fluorescence, phosphorescence, and Raman spectroscopy in the ultraviolet, visible, and infrared portions of the spectrum.

Topic 26: Therapeutic Heating: Same as Biomedical Engineering 381J (Topic 5: Therapeutic Heating). Engineering aspects of electromagnetic fields that have therapeutic applications: diathermy (short wave, microwave, and ultrasound), electrosurgery (thermal damage processes), stimulation of excitable tissue, and electrical safety.

Topic 28: Noninvasive Optical Tomography: Same as Biomedical Engineering 381J (Topic 6: Noninvasive Optical Tomography). Basic principles of optical tomographic imaging of biological materials for diagnostic or therapeutic applications. Optical-based tomographic imaging techniques including photothermal, photoacoustic, and coherent methodologies.

Topic 31: Biomedical Instrumentation I: Same as Biomedical Engineering 384J (Topic 1: Biomedical Instrumentation I). Application of electrical engineering techniques to analysis and instrumentation in biological sciences: pressure, flow, temperature measurement; bioelectrical signals; pacemakers; ultrasonics; electrical safety; electrotherapeutics.

Topic 32: Projects in Biomedical Engineering: Same as Biomedical Engineering 384J (Topic 5: Projects in Biomedical Engineering). An in-depth examination of selected topics, such as optical and thermal properties of laser interaction with tissue; measurement of perfusion in the microvascular system; diagnostic imaging; interaction of living systems with electromagnetic fields; robotic surgical tools; ophthalmic instrumentation; noninvasive cardiovascular measurements. Three lecture hours and six laboratory hours a week for one semester. Additional prerequisite: Electrical Engineering 385J (Topic 31).

Topic 33: Neurophysiology/Prosthesis Design: Same as Biomedical Engineering 384J (Topic 6: Neurophysiology/Prosthesis Design). The structure and function of the human brain. Discussion of selected neurological diseases in conjunction with normal neurophysiology. Study of neuroprosthesis treatments and design philosophy, functional neural stimulation, and functional muscular stimulation.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in engineering and consent of instructor.

Topic 3: Bioelectric Phenomena: Same as Biomedical Engineering 384J (Topic 4: Bioelectric Phenomena). Examines the physiological bases of bioelectricity and the techniques required to record bioelectric phenomena both intracellularly and extracellularly; the representation of bioelectric activity by equivalent dipoles and the volume conductor fields produced.

Topic 9: Laser-Tissue Interaction: Thermal: Same as Biomedical Engineering 381J (Topic 1: Laser-Tissue Interaction: Thermal). The thermal response of random media in interaction with laser irradiation. Calculation of the rate of heat production caused by direct absorption of the laser light, thermal damage, and ablation.

Topic 15: Biosignal Analysis: Same as Biomedical Engineering 384J (Topic 3: Biosignal Analysis). Theory and classification of biological signals such as EEG, EKG, and EMG. Data acquisition and analysis procedures for biological signals, including computer applications.

Topic 16: Laser-Tissue Interaction: Optical: Same as Biomedical Engineering 381J (Topic 2: Laser-Tissue Interaction: Optical). The optical behavior of random media such as tissue in interaction with laser irradiation. Approximate transport equation methods to predict the absorption and scattering parameters of laser light inside tissue. Port-wine stain treatment; cancer treatment by photochemotherapy; and cardiovascular applications.

Topic 17: Biomedical Instrumentation II: Real-Time Computer-Based Systems: Same as Biomedical Engineering 384J (Topic 2: Biomedical Instrumentation II: Real-Time Computer-Based Systems). Design, testing, patient safety, electrical noise, biomedical measurement transducers, therapeutics, instrumentation electronics, microcomputer interfaces, and embedded systems. Four structured laboratories and an individual project laboratory.

Topic 18: Biomedical Imaging: Signals and Systems: Same as Biomedical Engineering 381J (Topic 3: Biomedical Imaging: Signals and Systems). Physical principles and signal processing techniques used in thermographic, ultrasonic, and radiographic imaging, including image reconstruction from projections such as CT scanning, MRI, and millimeter wave determination of temperature profiles. Additional prerequisite: Electrical Engineering 371R.

Topic 23: Optical Spectroscopy: Same as Biomedical Engineering 381J (Topic 4: Optical Spectroscopy). Measurement and interpretation of spectra: steady-state and time-resolved absorption, fluorescence, phosphorescence, and Raman spectroscopy in the ultraviolet, visible, and infrared portions of the spectrum.

Topic 26: Therapeutic Heating: Same as Biomedical Engineering 381J (Topic 5: Therapeutic Heating). Engineering aspects of electromagnetic fields that have therapeutic applications: diathermy (short wave, microwave, and ultrasound), electrosurgery (thermal damage processes), stimulation of excitable tissue, and electrical safety.

Topic 28: Noninvasive Optical Tomography: Same as Biomedical Engineering 381J (Topic 6: Noninvasive Optical Tomography). Basic principles of optical tomographic imaging of biological materials for diagnostic or therapeutic applications. Optical-based tomographic imaging techniques including photothermal, photoacoustic, and coherent methodologies.

Topic 31: Biomedical Instrumentation I: Same as Biomedical Engineering 384J (Topic 1: Biomedical Instrumentation I). Application of electrical engineering techniques to analysis and instrumentation in biological sciences: pressure, flow, temperature measurement; bioelectrical signals; pacemakers; ultrasonics; electrical safety; electrotherapeutics.

Topic 32: Projects in Biomedical Engineering: Same as Biomedical Engineering 384J (Topic 5: Projects in Biomedical Engineering). An in-depth examination of selected topics, such as optical and thermal properties of laser interaction with tissue; measurement of perfusion in the microvascular system; diagnostic imaging; interaction of living systems with electromagnetic fields; robotic surgical tools; ophthalmic instrumentation; noninvasive cardiovascular measurements. Three lecture hours and six laboratory hours a week for one semester. Additional prerequisite: Electrical Engineering 385J (Topic 31).

Topic 33: Neurophysiology/Prosthesis Design: Same as Biomedical Engineering 384J (Topic 6: Neurophysiology/Prosthesis Design). The structure and function of the human brain. Discussion of selected neurological diseases in conjunction with normal neurophysiology. Study of neuroprosthesis treatments and design philosophy, functional neural stimulation, and functional muscular stimulation.

The interpretation of data from designed experiments and production processes. Topics include probability distributions, confidence intervals, analysis of variance, hypothesis testing, factorial designs, and quality control data. Prerequisite: Graduate standing in engineering and a course in probability and statistics, or graduate standing and consent of instructor.

Steady-state and transient analysis; symmetrical components, stability, protection, relaying. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in electrical engineering, or graduate standing and consent of instructor.

Topic 1: Power System Instrumentation and Control: Study of control functions related to energy control centers and to power plant control.

Topic 3: Advanced Apparatus Design Topics: Study of unconventional machinery; power electronic drive systems for machines.

Topic 4: Economic Operation of Power Systems: Advanced techniques for operating power systems in the most economic manner while meeting various network constraints; economic dispatch, penalty factors, optimal power flow.

Topic 5: Power System Dynamics and Stability: Computer methods for solving and predicting the behavior of networks during short-term and long-term disturbances.

Topic 6: Advanced Electric Machinery: Detailed modeling and design of large induction and synchronous machines.

Topic 7: Power Electronic Devices and Systems: A study of power electronic components and circuits; HVDC converters; electronic drives for machines; AC/DC converters.

Topic 8: Power Transmission and Distribution Topics: Calculation of electric fields, standing waves, audible noise, corona, and high voltage effects.

Topic 9: Power Quality: The study of electrical transients, switching surges, lightning, and other phenomena that cause deviations in 60-hertz sinusoidal voltages and currents.

Topic 10: Electromechanical Dynamics: Same as Mechanical Engineering 384E (Topic 1: Electromechanical Dynamics). Maxwell's equations and transient response of electrical machines.

Topic 11: Design of Electrical Machines: Same as Mechanical Engineering 384E (Topic 2: Design of Electrical Machines). Electrical and mechanical design of electrical machines.

Topic 12: Open-Access Transmission: Terms and conditions, pricing methodologies, independent system operators, ancillary services, auctions and bid strategies, losses and allocation policies.

Topic 13: Intelligent Motion for Robotics and Control:

Topic 14: Electrical Transients in Power Systems: Analysis and modeling of electrical transient phenomena in power systems, traveling wave, insulation coordination, overvoltage protection.

Steady-state and transient analysis; symmetrical components, stability, protection, relaying. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in electrical engineering, or graduate standing and consent of instructor.

Topic 1: Power System Instrumentation and Control: Study of control functions related to energy control centers and to power plant control.

Topic 3: Advanced Apparatus Design Topics: Study of unconventional machinery; power electronic drive systems for machines.

Topic 4: Economic Operation of Power Systems: Advanced techniques for operating power systems in the most economic manner while meeting various network constraints; economic dispatch, penalty factors, optimal power flow.

Topic 5: Power System Dynamics and Stability: Computer methods for solving and predicting the behavior of networks during short-term and long-term disturbances.

Topic 6: Advanced Electric Machinery: Detailed modeling and design of large induction and synchronous machines.

Topic 7: Power Electronic Devices and Systems: A study of power electronic components and circuits; HVDC converters; electronic drives for machines; AC/DC converters.

Topic 8: Power Transmission and Distribution Topics: Calculation of electric fields, standing waves, audible noise, corona, and high voltage effects.

Topic 9: Power Quality: The study of electrical transients, switching surges, lightning, and other phenomena that cause deviations in 60-hertz sinusoidal voltages and currents.

Topic 10: Electromechanical Dynamics: Same as Mechanical Engineering 384E (Topic 1: Electromechanical Dynamics). Maxwell's equations and transient response of electrical machines.

Topic 11: Design of Electrical Machines: Same as Mechanical Engineering 384E (Topic 2: Design of Electrical Machines). Electrical and mechanical design of electrical machines.

Topic 12: Open-Access Transmission: Terms and conditions, pricing methodologies, independent system operators, ancillary services, auctions and bid strategies, losses and allocation policies.

Topic 13: Intelligent Motion for Robotics and Control:

Topic 14: Electrical Transients in Power Systems: Analysis and modeling of electrical transient phenomena in power systems, traveling wave, insulation coordination, overvoltage protection.

Same as Mechanical Engineering 394J. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in engineering and consent of instructor.

Topic 1: Power System Engineering I: Physical features, operational characteristics, and analytical models for major electric power systems and components.

Topic 2: Power System Engineering II: Advanced techniques for solving large power networks; loadflow, symmetrical components, short circuit analysis.

Topic 3: Economic Analysis of Power Systems: Energy resources, cost characteristics of electricity supply, electricity consumption and supply patterns, and impact of regulatory policy.

Topic 4: Environmental Engineering and Energy Systems: Environmental effects and controls for air, water, and land pollution for power systems.

Topic 5: Power System Planning and Practices: The economics of integrated resource planning.

Topic 6: Energy Conversion Engineering: Thermal analysis and operating characteristics of systems for electric power generation.

Topic 7: Power System Harmonics: The study of nonsinusoidal voltages and currents in power systems. Detailed modeling and simulation of harmonics sources, system response, and effects on equipment.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Theory of electron, magnetic, and electro-optic devices. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Metal Oxide Semiconductor Devices: Physics and Technology:

Topic 2: Semiconductor Physics: Introduction to the fundamental physics of charge carrier states in semiconductors, charge carrier interactions among themselves and with the environment, and charge transport in semiconductors and their heterostructures. Additional prerequisite: An introductory course in quantum mechanics.

Topic 4: Synthesis, Growth, and Analysis of Electronic Materials:

Topic 5: Superconducting Electronic Devices:

Topic 6: Magnetic Phenomena in Materials:

Topic 7: MOS Integrated Circuit Process Integration:

Topic 8: VLSI Fabrication Techniques:

Topic 9: Localized versus Itinerant Electrons in Solids: Same as Mechanical Engineering 386R (Topic 1: Localized versus Itinerant Electrons in Solids). Description of electrons, from free atoms to crystals; band theory contrasted with crystal-field theory; evolution of electronic properties on passing from magnetic insulators to normal metals, from ionic to covalent solids, from single-valent compounds to mixed-valent systems; electron-lattice interactions and phase transitions; many examples. Additional prerequisite: A semester of quantum mechanics and a semester of solid-state science or technology.

Topic 10: Ionic Conductors: Same as Mechanical Engineering 386T (Topic 1: Ionic Conductors).

Topic 11: High-Temperature Superconductors: Same as Mechanical Engineering 386T (Topic 2: High-Temperature Superconductors).

Topic 12: Catalytic Electrodes: Same as Mechanical Engineering 386T (Topic 3: Catalytic Electrodes).

Topic 13: Magnetic Materials: Same as Mechanical Engineering 386T (Topic 4: Magnetic Materials).

Topic 14: Optical Interconnects:

Topic 15: Optoelectronics Integrated Circuits:

Topic 16: Semiconductor Lasers:

Topic 17: Localized-Electron Phenomena: Same as Mechanical Engineering 386R (Topic 2: Localized-Electron Phenomena). Analysis of the variation in physical properties versus chemical composition of several groups of isostructural transition-metal compounds. Additional prerequisite: A semester of solid-state science and/or quantum mechanics.

Topic 19: Plasma Processing of Semiconductors I: Plasma analysis using Boltzmann and fluid equations; plasma properties, including Debye length, quasineutrality, and sheaths; basic collisional properties, including Coulomb and polarization scattering; analysis of capacitive and wave-heated plasma processing reactors.

Topic 20: Plasma Processing of Semiconductors II: Plasma chemistry and equilibrium; analysis of molecular collisions; chemical kinetics and surface processes; plasma discharge particle and energy balance; analysis of inductive and DC plasma processing reactors; plasma etching, deposition, and implantation.

Topic 21: Submicron Device Physics and Techniques:

Topic 22: Semiconductor Microlithography:

Topic 23: Semiconductor Heterostructures:

Topic 24: Microwave Devices:

Topic 25: Organic and Polymer Semiconductor Devices:

Topic 26: Microelectromechanical Systems:

Topic 27: Charge Transport in Organic Semiconductors:

Theory of electron, magnetic, and electro-optic devices. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Metal Oxide Semiconductor Devices: Physics and Technology:

Topic 2: Semiconductor Physics: Introduction to the fundamental physics of charge carrier states in semiconductors, charge carrier interactions among themselves and with the environment, and charge transport in semiconductors and their heterostructures. Additional prerequisite: An introductory course in quantum mechanics.

Topic 4: Synthesis, Growth, and Analysis of Electronic Materials:

Topic 5: Superconducting Electronic Devices:

Topic 6: Magnetic Phenomena in Materials:

Topic 7: MOS Integrated Circuit Process Integration:

Topic 8: VLSI Fabrication Techniques:

Topic 9: Localized versus Itinerant Electrons in Solids: Same as Mechanical Engineering 386R (Topic 1: Localized versus Itinerant Electrons in Solids). Description of electrons, from free atoms to crystals; band theory contrasted with crystal-field theory; evolution of electronic properties on passing from magnetic insulators to normal metals, from ionic to covalent solids, from single-valent compounds to mixed-valent systems; electron-lattice interactions and phase transitions; many examples. Additional prerequisite: A semester of quantum mechanics and a semester of solid-state science or technology.

Topic 10: Ionic Conductors: Same as Mechanical Engineering 386T (Topic 1: Ionic Conductors).

Topic 11: High-Temperature Superconductors: Same as Mechanical Engineering 386T (Topic 2: High-Temperature Superconductors).

Topic 12: Catalytic Electrodes: Same as Mechanical Engineering 386T (Topic 3: Catalytic Electrodes).

Topic 13: Magnetic Materials: Same as Mechanical Engineering 386T (Topic 4: Magnetic Materials).

Topic 14: Optical Interconnects:

Topic 15: Optoelectronics Integrated Circuits:

Topic 16: Semiconductor Lasers:

Topic 17: Localized-Electron Phenomena: Same as Mechanical Engineering 386R (Topic 2: Localized-Electron Phenomena). Analysis of the variation in physical properties versus chemical composition of several groups of isostructural transition-metal compounds. Additional prerequisite: A semester of solid-state science and/or quantum mechanics.

Topic 19: Plasma Processing of Semiconductors I: Plasma analysis using Boltzmann and fluid equations; plasma properties, including Debye length, quasineutrality, and sheaths; basic collisional properties, including Coulomb and polarization scattering; analysis of capacitive and wave-heated plasma processing reactors.

Topic 20: Plasma Processing of Semiconductors II: Plasma chemistry and equilibrium; analysis of molecular collisions; chemical kinetics and surface processes; plasma discharge particle and energy balance; analysis of inductive and DC plasma processing reactors; plasma etching, deposition, and implantation.

Topic 21: Submicron Device Physics and Techniques:

Topic 22: Semiconductor Microlithography:

Topic 23: Semiconductor Heterostructures:

Topic 24: Microwave Devices:

Topic 25: Organic and Polymer Semiconductor Devices:

Topic 26: Microelectromechanical Systems:

Topic 27: Charge Transport in Organic Semiconductors:

Theory of electron, magnetic, and electro-optic devices. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Topic 1: Metal Oxide Semiconductor Devices: Physics and Technology:

Topic 2: Semiconductor Physics: Introduction to the fundamental physics of charge carrier states in semiconductors, charge carrier interactions among themselves and with the environment, and charge transport in semiconductors and their heterostructures. Additional prerequisite: An introductory course in quantum mechanics.

Topic 4: Synthesis, Growth, and Analysis of Electronic Materials:

Topic 5: Superconducting Electronic Devices:

Topic 6: Magnetic Phenomena in Materials:

Topic 7: MOS Integrated Circuit Process Integration:

Topic 8: VLSI Fabrication Techniques:

Topic 9: Localized versus Itinerant Electrons in Solids: Same as Mechanical Engineering 386R (Topic 1: Localized versus Itinerant Electrons in Solids). Description of electrons, from free atoms to crystals; band theory contrasted with crystal-field theory; evolution of electronic properties on passing from magnetic insulators to normal metals, from ionic to covalent solids, from single-valent compounds to mixed-valent systems; electron-lattice interactions and phase transitions; many examples. Additional prerequisite: A semester of quantum mechanics and a semester of solid-state science or technology.

Topic 10: Ionic Conductors: Same as Mechanical Engineering 386T (Topic 1: Ionic Conductors).

Topic 11: High-Temperature Superconductors: Same as Mechanical Engineering 386T (Topic 2: High-Temperature Superconductors).

Topic 12: Catalytic Electrodes: Same as Mechanical Engineering 386T (Topic 3: Catalytic Electrodes).

Topic 13: Magnetic Materials: Same as Mechanical Engineering 386T (Topic 4: Magnetic Materials).

Topic 14: Optical Interconnects:

Topic 15: Optoelectronics Integrated Circuits:

Topic 16: Semiconductor Lasers:

Topic 17: Localized-Electron Phenomena: Same as Mechanical Engineering 386R (Topic 2: Localized-Electron Phenomena). Analysis of the variation in physical properties versus chemical composition of several groups of isostructural transition-metal compounds. Additional prerequisite: A semester of solid-state science and/or quantum mechanics.

Topic 19: Plasma Processing of Semiconductors I: Plasma analysis using Boltzmann and fluid equations; plasma properties, including Debye length, quasineutrality, and sheaths; basic collisional properties, including Coulomb and polarization scattering; analysis of capacitive and wave-heated plasma processing reactors.

Topic 20: Plasma Processing of Semiconductors II: Plasma chemistry and equilibrium; analysis of molecular collisions; chemical kinetics and surface processes; plasma discharge particle and energy balance; analysis of inductive and DC plasma processing reactors; plasma etching, deposition, and implantation.

Topic 21: Submicron Device Physics and Techniques:

Topic 22: Semiconductor Microlithography:

Topic 23: Semiconductor Heterostructures:

Topic 24: Microwave Devices:

Topic 25: Organic and Polymer Semiconductor Devices:

Topic 26: Microelectromechanical Systems:

Topic 27: Charge Transport in Organic Semiconductors:

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Three lecture hours a week for one semester, or as required by the topic. May be repeated for credit when the topics vary. Prerequisite: Graduate standing and consent of instructor.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the letter-grade basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor and the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the letter-grade basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor and the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the letter-grade basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor and the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the letter-grade basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor and the graduate adviser.

Problem selected by the student with approval of the department. For each semester hour of credit earned, the equivalent of one lecture hour a week for one semester. Offered on the letter-grade basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor and the graduate adviser.

Selection of topics based on needs of an adequate number of students. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in electrical engineering and consent of instructor.

Topic 1: Conference Course: May be repeated for credit.

Selection of topics based on needs of an adequate number of students. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in electrical engineering and consent of instructor.

Topic 1: Conference Course: May be repeated for credit.

Selection of topics based on needs of an adequate number of students. May be repeated for credit when the topics vary. Prerequisite: Graduate standing in electrical engineering and consent of instructor.

Topic 1: Conference Course: May be repeated for credit.

Research associated with enrollment in the Graduate Research Internship Program (GRIP). Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of instructor.

Preparation of a report to fulfill the requirement for the master's degree under the report option. The equivalent of three lecture hours a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Preparation of a report to fulfill the requirement for the master's degree under the report option. The equivalent of three lecture hours a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Preparation of a report to fulfill the requirement for the master's degree under the report option. The equivalent of three lecture hours a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in electrical engineering and consent of the graduate adviser.

Teaching under close supervision for one semester, attending group meetings or individual consultations, and submitting reports as required. Three lecture hours a week, or the equivalent, for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing and appointment as a teaching assistant.

Offered on the credit/no credit basis only. Prerequisite: Admission to candidacy for the doctoral degree.

Offered on the credit/no credit basis only. Prerequisite: Admission to candidacy for the doctoral degree.

Offered on the credit/no credit basis only. Prerequisite: Admission to candidacy for the doctoral degree.

Offered on the credit/no credit basis only. Prerequisite: Electrical Engineering 399R, 699R, or 999R.

Offered on the credit/no credit basis only. Prerequisite: Electrical Engineering 399R, 699R, or 999R.

Offered on the credit/no credit basis only. Prerequisite: Electrical Engineering 399R, 699R, or 999R.