Electrical Engineering (EE)
College of Engineering
Preference in registration is given to declared
engineering majors. Please consult the current Schedule of Courses for
confirmed offerings each semester.
EE 101 Electrical Engineering Skills (3) Electrical
engineering subjects in a skill acquisition context at the freshman
level. Learning, creative problem solving, brainstorming, technical
information assimilation, and presentation skills development.
EE 150 Introduction to Computer Programming Methods
(3) Introductory course on computer programming methods; emphasis on
planning, writing, debugging of programs, together with basic
applications. Pre: MATH 140 or equivalent.
EE 160 Programming for Engineers (4) (3 Lec, 1 3-hr
Lab) Introductory course on computer programming and modern
computing environments with an emphasis on algorithm and program design,
implementation, and debugging. Includes a hands-on laboratory to develop
and practice programming skills. Restricted to engineering freshmen and
sophomores. A-F only. Pre: Math 140 or equivalent or consent.
EE 196 Freshmen Project Experience (V) Freshman
level individual or team project under EE faculty direction and
guidance. This project provides early student entry into EE hands-on
project activity providing practical skills, EE subject exposure and
experience. Second semester freshman standing required. Repeatable. Pre:
101 and consent.
EE 201 Electrical Engineering Skills for Transfer
Students (3) This course develops key electrical engineering
communications and creative problem-solving skills through peer
interactive techniques. This course parallels EE 101 but at a more
advanced topic level. Creative problem solving, brainstorming, technical
information assimilation, presentations and learning skills development
using peer interactive methodologies. Student presentations are
required. Repeatable. Pre: sophomore standing or consent.
EE 211 Basic Circuit Analysis I (4) (3 Lec, 1 3-hr
Lab) Linear passive circuits, time domain analysis, transient and
steady-state responses, phasors, impedance and admittance; power and
energy, frequency responses, resonance. Pre: MATH 231 (or concurrent)
and PHYS 272 (or concurrent), or consent.
EE 213 Basic Circuit Analysis II (4) (3 Lec, 1 3-hr
Lab) Introduction to Laplace operator, Laplace
transform in circuit analysis, frequency selective circuits, use of
linear amplifiers, introduction to active filters, three-phase circuits,
Fourier series and transform. Pre: 101, 211, and MATH 232 (or
concurrent); or consent.
EE 224 Physical Electronics (3) Atomic physics,
lattices, introductory quantum mechanics, phonons, scattering, impurity
diffusion, carrier statistics, donors, acceptors, charge transport in
semiconductors including ambipolar transport. The junction diode, the
Schottky diode. Co-requisite: PHYS 274 or consent.
EE 260 Introduction to Digital Design (4) (3 Lec, 1
3-hr Lab) Introduction to the design of digital systems with an
emphasis on design methods and the implementation and use of fundamental
digital components. Pre: 150 or consent.
EE 296 Sophomore Student Projects (V) Sophomore
level individual or team project under EE faculty direction and
guidance. The project provides early student entry into EE hands-on
activity providing practical skills, EE subject exposure and experience.
Repeatable. Pre: 101, sophomore standing, and consent.
Registration in upper division courses will be
contingent upon earning a grade of C or better in prerequisite courses.
EE 315 Signal and Systems Analysis (3) Discrete
Fourier transform, Fourier series, Fourier transform, Laplace transform.
Fast Fourier transform, analysis of linear systems. Pre: 213 and MATH
EE 323 Basic Electronics (3) Semiconductor
structures, operating principles and characteristics of diodes and
amplifying devices. Their application as circuit elements in building
basic digital, analog, and integrated circuit subsystems. Pre: 213 and
EE 323L Basic Electronics Lab (1) (1 3-hr Lab) Experiments
on linear and logic properties of diodes and transistor networks. Pre:
213. Co-requisite: 323.
EE 326 Linear Electronics (3) Principles and
design of linear and analog electronic circuits; tuned and power
amplifiers, feedback amplifiers and oscillators, operational and
differential amplifiers, power supply circuits, integrated circuits as
analog system blocks. Pre: 323.
EE 326L Linear Electronics Lab (1) (1 3-hr Lab) Laboratory
for 326, experiments on linear and analog electronics. Pre: 323L.
EE 327 Theory and Design of IC Devices I (3) Characteristics
and physics of bipolar and MOS electronic devices used in integrated
circuits. Pre: 224.
EE 328 Physical Electronics Lab Techniques (3) Technology
principles and methods for the design and fabrication of integrated
circuit devices. Pre: 327.
EE 328L Physical Electronics Lab (1) (1 3-hr Lab) Hands-on
laboratory where students make various electronic devices using IC
technology. Devices are also tested and analyzed. Pre: 327.
EE 331 Energy Conversion (3) Application
of electromagnetic field theory to energy conversion. Magnetic circuits
and transformers. AC and DC machines. Introduction to direct
energy-conversion methods. Pre: 213.
EE 331L Energy Conversion Lab (1) (1 3-hr Lab) Experiments
on electromechanical energy conversion using generalized machines,
magnetic circuits, and transformers. Elementary experiments on direct
energy conversion. Pre: 213. Co-requisite: 331.
EE 341 Introduction to Communication Systems (3) Signal
representation, Fourier analysis; amplitude and angle modulated systems;
sampling theorems, pulse and digital modulation systems; carrier
modulation by digital signals. Pre: 315.
EE 341L Communication Systems Lab (1) (1 3-hr Lab) Experiments
illustrating the basic principles of communication systems. Pre: 315.
EE 342 EE Probability and Statistics (3) Probability,
statistics, random variables, distributions, densities, expectations,
limit theorems, and applications to electrical engineering. Pre: 315 (or
concurrent) and MATH 232, or consent.
EE 351 Linear Systems and Control (3) Analysis/design
of feedback systems. Compensator design via root locus and Bode
analysis. Routh/Nyquist stability. State space representation and
introduction to MIMO formulation. Controllability/observability. Pre:
315. Co-requisite: 351L.
EE 351L Linear Systems and Control Lab (1) (1 3-hr
Lab) Provides experience in applying theoretical tools to analyze
linear systems. Extensive use is made of computer-aided analysis and
design packages study system performance. Pre: 315. Co-requisite: 351.
EE 361 Digital Systems and Computer Design (3) Design
methodology, processor design, control design, memory organization,
system organization. Pre: 213 and 260; or consent.
EE 361L Digital Systems and Computer Design Lab (1)
(1 3-hr Lab) Laboratory for 361, experiments on digital systems and
interfacing. Co-requisite: 361.
EE 366 CMOS VLSI Design (4) (3 Lec, 1 3-hr Lab) Introduction
to the design of very large scale integrated (VLSI) systems and use of
CAD tools and design languages. Lab includes handson use of CAD tools
and experiments with field programmable logic devices. Pre: 260.
EE 367 Computer Data Structures and Algorithms (3) Introduction
to computer programming algorithms with emphasis on advanced data
structures, input-output routines, files, and interpreters. Pre: 150.
EE 367L Computer Data Structures and Algorithms Lab
(1) (1 3-hr Lab) Laboratory for 367. Pre: 150. Co-requisite: 367.
EE 371 Field and Waves I (3) Stationary and
traveling waves in distributed parameter systems. Stationary electric
and magnetic fields. Pre: 213
EE 372 Field and Waves II (3) Solution of
Maxwell’s equations under various boundary conditions. Introduction to
microwave theory. Pre: 371.
EE 372L Field and Waves II Lab (1) (1 3-hr Lab) Laboratory
for fields and waves option covering coaxial, waveguide, and antenna
circuits and techniques. Pre: 371. Co-requisite: 372.
EE 396 Junior Project Course (V) Under-graduate
hands-on experience. May be a EE 296 project continuation or a new
project leading directly to the EE 496 major design activity.
Repeatable. Pre: 101, junior standing, and consent.
EE 415 Digital Signal Processing (4) (3 Lec, 1 3-hr
Lab) Discrete-time signals and systems, sampling, Z-transform,
transform, transform analysis of linear time-invariant systems, filter
design, discrete Fourier transform, and computation of discrete Fourier
transform. Repeatable once. Pre: 315 or consent.
EE 422 Electronic Instrumentation (3) Electronic
circuits for interfacing with transducers, signal processing, and data
acquisition. Amplifiers for measurement and control. Operational
amplifiers in linear, nonlinear, and digital applications. Design
project. Basic transducers. Pre: 326, 326L, and 371; or consent.
EE 422L Instrumentation Lab (1) (1 3-hr Lab) Laboratory
for 422. Co-requisite: 422.
EE 423 Computer-Aided Analysis and Design (3) Algorithms
and techniques used in computer-aided analysis and design of electronic
circuits. Circuit simulation with interactive computers. Pre: 326 or
EE 425 Electronic Instrumentation II (3) Instrumentation
systems and circuits for measurement, control, signal processing,
transmission, and detection. Noise and interference, ADC/DAC,
modulation/demodulation, high-frequency and high-speed techniques, IC
applications. Pre: 422 and 422L, or consent.
EE 426 Theory and Design of IC Devices II (3) Advanced
silicon solid-state devices. State of the art in silicon-based devices,
including advanced bipolar and MOS devices. Subjects from the most
current literature included. Pre: 327.
EE 427 Computer-Aided Circuit Design (3) Application
of the computer to the analysis, design, simulation, and construction of
analog and digital circuits. Pre: 326 and 326L, or consent.
EE 435 Power Systems Analysis (3) Characteristics
of transmission systems. Matrix algebra and representation of power
systems. Numerical solutions of simultaneous algebraic and differential
equations. Computer methods for short-circuit problems, load-flow
studies, stability analysis. Pre: 331.
EE 436 Advanced Energy Conversion (3) Advanced
topics on AC and DC machines, conventional and alternate energy
conversion concepts, wind energy conversion, photovoltaic,
thermoelectricity, storage, and utility interface considerations. Pre:
EE 437 Power Electronics (3) Characteristics,
modeling, analysis, and design of power electronic devices and circuits.
Power diodes and thyristors. Converters and inverters. Control of
voltage, frequency, electric motors. Pre: 323 and 331, or consent.
EE 441 Statistical Communications (3) Random
variables, random processes, stationarity, correlation functions,
spectral characteristics, linear filters, applications to noisy
communication systems. Pre: 341 and MATH 471.
EE 442 Digital Communications (3) Baseband
transmission, intersymbol interference and pulse shaping, partial
response signaling, equalization, bandpass modulation and demodulation,
channel coding, synchronization, multiplexing and multiple access,
spread spectrum techniques. Pre: 341 and 342; or consent.
EE 446 Information Theory and Coding (3) Models
of communication systems. Channel noise, measurement, and coding of
information. Intrinsic limits of performance of communication systems.
Pre: 341 and 342; or consent.
EE 449 Computer Communication Networks (3) ISO
Reference Model, Physical Layer, Data Link Layer protocols, local- and
wide-area networks, routing, congestion and flow control, higher layer
protocols, network design, ISDN, performance evaluation, high-speed
networks. Pre: 315 and one of EE 342, MATH 371, or MATH 471; or consent.
EE 452 Digital Control Systems (3) Sampling/reconstruction,
Z-transform, DT transfer function. Reachability/observability. State and
output feedback, observer design, input-output models, diophantine
equations. Implementation procedures. Pre: 315 and 351, or consent.
EE 453 Modern Control Theory (3) Analysis and
synthesis of nonlinear control systems by means of Lagrange’s
equation, state space techniques, maximum principle. Lyapunov’s
theorems, the phase plane, and Z-transform techniques. Optimization and
adaptation by means of gradient methods, calculus of variations, dynamic
programming. Pre: 351.
EE 455 Design of Intelligent Robots (3) Study
of the design principles of computer-controlled, intelligent robots such
as roving vehicles, hand-eye systems. Pre: 351 and 367.
EE 460 Switching Circuit Theory (3) Threshold
logic circuits, iterative combinational logic circuits, sequential
circuits analysis and synthesis, minimization, state assignment,
hazards, race conditions, fault-detection experiments, linear sequential
circuits. Pre: 120 or 361.
EE 461 Computer Architecture (3) Structure of
stored program machines, data flow machines, pipelining, fault-tolerant
computing, instruction set design, effects of compilation on
architecture, RISC vs. CISC architecture, uses of parallelism. Pre: 361.
EE 466 VLSI Design (3) Design, simulation, and
fabrication of digital VLSI systems using field-programmable logic
devices. Pre: 323 and 361.
EE 467 Object-oriented Software Engineering (3) Introduction
to advanced techniques for designing, implementing, and testing computer
software with a particular focus on using object-oriented design,
analysis, and programming to produce high-quality computer programs that
solve non-trivial problems. Pre: 367 or consent.
EE 468 Introduction to Operating Systems (3) Computer
system organization; multiprocessor systems, memory hierarchies,
assemblers, compilers, operating systems, virtual machine, memory
management, processor management; information management. Pre: 260 and
367; or consent.
EE 473 Microwave Communications (3) Microwave
amplifiers and oscillators, solid-state microwave devices, antennas,
radio propagation as applied to a microwave communication system. Pre:
EE 474 Antennas (3) Electromagnetic wave
propagation in free space and ionized media. Geomagnetic and solar
effects on the ionosphere. Absorption and dispersion. Antenna arrays,
apertures, horns, impedance. Design of antenna systems. Pre: 372.
EE 475 Optical Communications (3) Principles
and applications of optical fibers and waveguides. Fundamentals of
optical communication systems (optical links, high-speed systems,
wavelength-division-multiplexing networks, and network elements) and
optical components (guided-wave circuits, lasers, detectors, and optical
amplifiers). System and network integration issues. Repeatable once. A-F
only. Pre: 371 or consent.
EE 477 Fundamentals of Radar, Sonar, and Navigation
Systems (3) Discussion of basic radar detection and position- and
velocity-measurement principles. Applications to various types of radar
and sonar systems. Modern navigation aids. Pre: 371 or equivalent, and
familiarity with waveguides or waveguide theory.
EE 480 Introduction to Biomedical and Clinical
Engineering (3) Application of engineering principles and technology
to biological and medical problems. Introduction to human anatomy,
physiology, medical terminology, clinical measurements. Systems
modeling, physiological control systems, computer applications,
health-related problems. Pre: 213 and MATH 232.
EE 480L Biomedical Engineering Lab (1) (1 3-hr Lab)
Measurement of bioelectrical signals, computer and electronic
simulation of biological systems, design and evaluation of electronic
circuits for biomedical measurements, evaluation of instruments for
patient safety. Pre: 323 and 323L. Co-requisite: 480.
EE 481 Bioelectric Phenomena (3) Study of
electrical phenomena in living systems. Mechanisms underlying
bioelectric activity. Membrane and transepithelial potentials, skin
impedance, electrocardiography, neuroelectric signals, diagnostic
considerations, laboratory demonstrations. Pre: 480 or consent.
EE 482 Biomedical Instrumentation (3) (2 Lec, 1
3-hr Lab) Principles, applications, and design of biomedical
instrumentation. Transducers, IC and microcomputer applications, patient
safety. Pre: 326, 480, or consent.
EE 491 (Alpha) Special Topics in Electrical
Engineering (3) Course content will reflect special interests of
visiting/permanent faculty; to be oriented toward juniors and seniors.
(B) artificial intelligence; (C) circuits; (D) communications; (E)
computer hardware; (F) computer software; (G) computer vision; (H)
control; (I) devices; (J) fields; (K) power. Pre: consent.
EE 494 Provisional Topics (3) Upper division
course with subject matter to be announced.
EE 496 Senior Design Project (V) Investigation
of advanced engineering problems. Pre: senior.
EE 499 Directed Reading (V) Investigation of
advanced engineering problems. Pre: senior standing and consent.
EE 500 Master’s Plan B/C Studies (1)
EE 601 Graph Theory and Its Applications (3) Graphs
and subgraphs, trees and treelike graphs, planar graphs, connectivity
and edge-connectivity, applications. Pre: MATH 311 or consent.
EE 602 Algorithm I (3) Design and evaluation of
machine representations, techniques and algorithms for sorting, pattern
processing, computational geometry, mathematical computations, and
engineering applications. Introduction to computational issues of time,
space, communication, and program correctness. Pre: 367 or consent.
EE 603 Algorithm II (3) Techniques of parallel
and distributed computation. Design and analysis of computational
structures and algorithms based on general models of computer
architecture. Issues in interprocessor communication and
synchronization. Pre: 602, 660, or consent.
EE 604 Artificial Intelligence (3) LISP for
machine intelligence applications, or related constraint object and
logic-oriented languages. Pre: 467 or knowledge of LISP/PROLOG.
EE 606 Machine Processing of Natural Languages I
(3) Review of computer language syntax analysis, natural language as
a knowledge-based process, grammars and parsing, transition and
augmented transition grammars, feature and function grammars, natural
language parsing. Pre: 367 and knowledge of LISP.
EE 615 Advanced Digital Signal Processing (3) An
advanced course in digital processing. Topics include fast DFT
algorithms, multirate systems and filter banks, power spectrum
estimation, linear prediction, optimum linear filters, and adaptive
filtering. A-F only. Open to non-majors for CR/NC only. Pre: 415 or 640
EE 618 Optimization Theory and Practice (3) Dynamic
programming, nonlinear optimization, optimal control. Pre: 650.
EE 620 Advanced Electronic Circuits (3) Electronic
circuits for precision measurement, computation, and signal processing.
Low noise and interference reduction techniques. High-frequency and
high-speed techniques. Micro-processor and biomedical applications. Pre:
EE 621 Advanced Solid-State Devices (3) Advanced
physical principles and design of modern solid-state electronic devices.
Heterostructures, photodetectors, LED, junction lasers, and other
devices of current importance identified from the current literature.
EE 622 Optical Electronics I (3) Optical
electronics including light-guiding, optical resonators, lasers, and
applications. Pre: 327 or consent.
EE 623 Optical Electronics II (3) Electro-optics,
noise detection, light and sound dielectric waveguide phenomena, lasers,
optics, phase conjugation. Pre: 622 or consent.
EE 624 Microsensors and Microactuators I (3) Technology
methods and physical principles of microsensors and microactuators.
Vacuum technology, thin film deposition and characterization techniques,
solid mechanics, micromachining, acoustics, piezoelectricity and
principles of current microtransducers. Pre: 327 or consent.
EE 625 High-Frequency Solid-State Devices (3) High-frequency
semiconductor devices. Hot electrons, Gunn oscillators, IMPATT diodes,
mesfets, modfets, micromechanical klystrons, TWTS, magnetrons, resonant
tunneling devices, superlattice devices. Pre: 327 or consent.
EE 626 Microsensors and Microactuators II (3) Survey
of current microsensors and microactuators; pressure sensors;
accelerometers; thermal, chemical, and magnetic sensors; micromotors and
transducers. Pre: 624 or consent.
EE 627 Advanced Topics in Physical Electronics (3) Recent
developments in phenomena and devices of physical electronics. Pre: 327.
EE 628 Analysis and Design of Integrated Circuits
(3) Fabrication constraints and design guidelines for integrated
circuits. Nonlinear model of integrated circuit transistor. Design and
analysis of integrated logic circuits and linear circuits. Pre: 323.
EE 631 Advanced Power Systems (3) Computer-aided
analysis and design of large power systems: modeling, system protection,
economic operation, short-circuit analysis, load-flow studies, and
transient stability of N-machine systems. Pre: 331 and 435, or consent.
EE 633 Power Generation and Control (3) Power
generation. Power exchange of interconnected areas, control of
generation, simulation models and optimum control, power system
security, state estimation. Pre: 351, 435, 436 or consent.
EE 640 Applied Random Processes (3) Random
variables, multivariate distributions, random sequences, stochastic
convergence, stationary and nonstationary processes, spectral analysis,
Karhunen-Loeve expansion, Markov processes, mean square estimation,
Kalman filters. Pre: MATH 471 or equivalent.
EE 641 Queueing Theory (3) Poisson, Markov, and
renewal processes, M/G/1 queue, G/M/1 queue, queueing networks,
simulation, and performance evaluation of computer systems and
communication networks. Pre: 342, 640 (or concurrent), or consent.
EE 642 Detection and Estimation Theory (3) Fundamentals
of signal detection and estimation theory. Hypothesis testing,
parametric and nonparametric detection, sequential detection, parametric
estimation, linear estimation, robust detection and estimation, and
applications to communication systems. Pre: 640.
EE 643 Communication System Performance (3) Fundamental
performance limits, signal detection and estimation, modulation,
intersymbol interference, equalization adaptive filtering, sequence
detection, synchronization, fading multipath channels, spread spectrum.
EE 644 Computer Communication Networks (3) Fundamentals
of computer communication networks including modeling, performance
evaluation, routing, flow control, local area networks, distributed
algorithms, and optimization algorithms. Pre: 342, MATH 471, or consent.
EE 645 Neural Nets and Learning Theory (3) Pattern
recognition, neural networks, and machine learning. Discriminant
functions, supervised and unsupervised learning, associative memories,
feed forward and recurrent networks, learning complexity, computational
learning theory and applications. Pre: 640.
EE 646 Advanced Information Theory (3) Measure
of information, coding for discrete sources, discrete memoryless
channels and capacity, the noisy channel coding theorem, source coding
with fidelity criterion, rate-distortion theory, multiuser channels.
EE 647 Source Coding (3) Theory and
applications of source coding, rate-distortion theory, companding,
lattice coding, tree coding, trellis coding, entropy-constrained coding,
asymptotic theory, predictive and differential encoding, combined
source/ channel coding, vector quantization. Pre: 640.
EE 648 Error-Control Coding I (3) Linear block
codes, soft and hard decision decodings, correction of random errors,
cyclic codes, BCH codes, Reed-Solomon codes, majority logic decodable
codes, burst-error correcting codes, concatenated codes. Pre: MATH 311
EE 649 Error-Control Coding II (3) Convolutional
codes, Viberbi algorithm, sequential decoding, coded modulation,
multistage decoding, concatenated coded modulation, coding for fading
channels, error-control systems. Pre: 648
EE 650 Linear System Theory (3) State space
theory of linear systems, controllability, observability, stability,
irreducible realizations. Pre: 452.
EE 651 Nonlinear Control Systems (3) Digital
simulations, phase-plane analysis, limit cycles and amplitude bounds,
Lyapunov’s theorem, circle criterion of stability, lure systems,
Popov’s stability theorem. Pre: 650.
EE 652 Optimal Control Systems (3) Optimal
controls introduced through parametric optimization, calculus of
variations, Euler-Lagrange and Hamilton-Jacobi equations, Pontryagin’s
maximum principle, minimum-time and minimum-fuel problems, dynamic
programming, applications. Pre: 650 or consent.
EE 655 Robust Control (3) Multivariable
frequency response design, signals and systems, linear fractional
transformations, LQG Control, Full Information H-infinity Controller
Synthesis, H-infinity filtering, model reduction, the four-block
problem. Pre: 453 and 650.
EE 660 Computer Architecture I (3) Models of
computation, high-performance processors, pipelined machines, RISC
processors, VLIW, superscalar and fine-grain parallel machines.
Data-flow architectures. Hardware/software tradeoffs. Pre: 461.
EE 661 Computer Architecture II (3) Design
principles and techniques for architecture of parallel processing
computers, processors, memories, interprocessor communication mechanism,
multiprocessor scheduling and synchronization. Pre: 660 or consent.
EE 665 Computer Systems (3) Modern operating
system software, process communication, distributed systems, device
drivers. Software development and maintenance, integration of software
packages. Projects reflecting special interests of faculty. Pre: 461 and
EE 668 Telecommunication Networks (3) Telecommunication-network
architecture; switching, broadcast, and wireless networks; protocols,
interfaces, routing, flow- and congestion-control techniques;
intelligent network architecture; service creation capabilities;
multimedia, voice, data, and video networks and services. Pre: 468 or
EE 671 Electromagnetic Theory and Applications (3) Solutions
of Maxwell’s equations and applications to radiation and propagation
of electromagnetic waves. Pre: 372 and MATH 402.
EE 673 Advanced Microwave Electronics (3) Analysis
and design of microwave amplifiers using scattering parameters and
signal-flow graphs. Principles of oscillator design. Use of CAD tools.
EE 680 Biomedical Engineering Systems (3) Systems
analysis and electronic instrumentation methods in biomedicine. Network
and control-loop modeling, computer simulation, biological transducers,
and analysis of electronic and physiological systems. Pre: 326, 326L,
and 371; or consent.
EE 691 Seminar in Electrical Engineering (1) CR/NC
only. Pre: graduate standing and consent.
EE 692 Seminar in Electrical Engineering (1) CR/NC
only. Pre: graduate standing and consent.
EE 693 (Alpha) Special Topics in Electrical
Engineering (3) Course content will reflect special interests of
visiting/permanent faculty. (B) artificial intelligence; (C) circuits;
(D) communications; (E) computer hardware; (F) computer software; (G)
computer vision; (H) control; (I) devices; (J) fields; (K) power. Pre:
EE 699 Directed Reading or Research (V) CR/NC
only. Pre: graduate standing and consent.
EE 700 Thesis Research (V) Research for
master’s thesis. Pre: candidacy for MS in electrical engineering.
EE 790 Directed Instruction (V) Student assists
in undergraduate classroom and/or project instruction under direction
and close supervision of faculty member. CR/NC only. Pre: admission to
EE 800 Dissertation Research (V) Research for
doctoral dissertation. Pre: candidacy for PhD in electrical engineering.
For key to symbols and abbreviations, see the first
page of this section.