Course List - Fall 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.

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.

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.

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.

Analysis and design of analog integrated circuits; transistor models, integrated circuit technologies; layout techniques; mismatches; simple and advanced current mirrors, single-stage amplifiers; differential-pair amplifiers; frequency response; noise considerations; feedback; nonlinear circuits; cascode amplifiers; telescopic and folded-cascode operational amplifiers; two-stage operational amplifiers using state-of-the-art EDA/CAD tools for design simulation and layout. Prerequisite: Electrical Engineering 438 and 339 with a grade of at least C in each.

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.

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.

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.

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.

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.

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.

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.

Analysis and design of linear discrete time control systems; z-transform theory; modified z-transforms; stability; multirate systems; digital simulation of discrete time systems; synthesis of algorithms for computer controllers. Prerequisite: Electrical Engineering 362K with a grade of at least C.

The fundamentals of wireless communication from a digital signal processing perspective; linear modulation, demodulation, and orthogonal frequency division multiplexing; synchronization, channel estimation, and equalization; communication in fading channels; and wireless standards. Three lecture hours and three laboratory hours a week for one semester. Electrical Engineering 371C and 379K (Topic: Wireless Communications Laboratory) may not both be counted. Prerequisite: Electrical Engineering 345S, 351M, or 360K 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.

Application of techniques of electrical engineering to analysis and instrumentation in biological sciences: pressure, flow, temperature measurement; bioelectric signals; pacemakers; ultrasonics; electrical safety; electrotherapeutics and lasers. Prerequisite: Electrical Engineering 438 with a grade of at least C.

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.

Probability spaces, random variables, expectation, conditional expectation, stochastic convergence, characteristic functions, and limit theorems. Introduction to Markov and Gaussian processes, stationary processes, spectral representation, ergodicity, renewal processes, martingales, and applications to estimation, prediction, and queueing theory. Prerequisite: Graduate standing, and Electrical Engineering 351K or the equivalent.

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: 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 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:

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.

Vector space, Green's function; equivalence theorem; vector potentials; plane, cylindrical, and spherical waves; radiation and scattering. Prerequisite: Graduate standing in electrical engineering, or 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.

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.

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.

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.