Graduate Courses in Electrical and Computer Engineering
This page presents descriptions of the graduate (600- to 800-level) courses offered by the Department of Electrical and Computer Engineering as part of the ENEE program (M.S. and Ph.D.). Note that 400-level courses also can be taken for credit toward the M.S. and Ph.D. degrees in Electrical Engineering. For 400-level course descriptions, click here:
400-level
Additional Course Information:
Testudo Website: Schedule of Courses
ECE
Undergraduate Courses
ECE Course Websites
ENEE 600 (793): Solid State Electronics (3)
Prerequisite: Previous exposure to quantum mechanics or permission of instructor. Properties of crystals; energy bands: electron transport theory; conductivity and hall effect; statistical distributions; fermi level: impurities; non-equilibrium carrier distributions; normal modes of lattice vibration and thermal properties of crystals; tunneling phenomena; surface properties.
See the in-depth course description for more information.
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ENEE 601 (697): Semiconductor Devices and Technology (3)
Recommended: ENEE 600 (793); ENEE 480 or equivalent. The principles, structures and characteristics of semiconductor devices. Technology and fabrication of semiconductor devices.
See the in-depth course description for more information.
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ENEE 605 (719R): Design and Fabrication of Micro-Electro-Mechanical Systems (MEMS) (3)
Prerequisite: ENEE 312 or equivalent. The goals of this course are to explore the world of Micro-Electro-Mechanical Systems (MEMS) by understanding its design and fabrication aspects. More specifically, students learn that MEMS are sensors and actuators that are designed using different areas of engineering disciplines and they are constructed using a microlithographically-based manufacturing process in conjunction with both semiconductor and micromachining microfabrication technologies. Different examples of MEMS designs and fabrication technologies would be studied that are currently employed in a wide range of devices, including microaccelerometers for crash detection in vehicles, pressure sensors for implantable medical devices, arrays of miniature mirrors for projection displays, and systems for chemical detection and assay. The results of homework, case studies and course project will prove the benefits of MEMS devices, which include small size, low power consumption, ease of integration into arrays, potential for monolithic integration with electronics, and low cost in high volume.See the in-depth course description for more information.
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ENEE 610: Electrical Network Theory (3)
Prerequisite: Undergraduate circuit theory or permission of instructor. Matrix algebra, network elements, ports, passivity and activity, geometrical and analytical descriptions of networks, state variable characterizations, scattering matrices, signal flow graphs, sensitivity.
See the in-depth course description for more information.
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ENEE 611 (696): Integrated Circuit Design and Analysis (3)
Prerequisite: The course is self-contained, but some previous experience in circuit design is helpful. Recommended: ENEE 610. Active and passive elements used in semiconductor structures. Design application of linear and digital integrated circuits.
See the in-depth course description for more information.
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ENEE 614: Radio Frequency VLSI Circuit Design(3)
Recommended: ENEE 611; ENEE 408D or equivalent..Students will gain the knowledge required to analyze, design and lay-out discrete and integrated circuits used in modern radio frequency communications. The course will focus on advanced amplifier concepts, frequency conversion, tuning, and low-noise techniques. Implementation of AM, FM and digital modulation techniques will be covered. Emphasis will be given to CMOS technology as applied to analog VLSI. Advanced applications of SPICE and VLSI design layout tools will be covered.
See the in-depth course description for more information.
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ENEE 620: Random Processes in Communication and Control (3)
Prerequisite: ENEE 324 or equivalent. Introduction to random processes: characterization, classification, representation; Gaussian and other examples. Linear operations on random processes, stationary processes: covariance function and spectral density. Linear least square waveform estimating Wiener-Kolmogroff filtering, Kalman-Bucy recursive filtering: function space characterization, non-linear operations on random processes.
See the in-depth course description for more information.
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ENEE 621: Estimation and Detection Theory (3)
Prerequisite: ENEE 620 or equivalent. Also offered as AMSC 644. Estimation of unknown parameters, Cramer-Rao lower bound; optimum (map) demodulation; filtering, amplitude and angle modulation, comparison with conventional systems; statistical decision theory Bayes, minimax, Neyman/Pearson, Criteria-68 simple and composite hypotheses; application to coherent and incoherent signal detection; M-ary hypotheses; application to uncoded and coded digital communication systems.
See the in-depth course description for more information.
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ENEE 623: Digital Communications (3)
Prerequisites: ENEE 620 and ENEE 420 or equivalents, or permission of instructor. Review of sampling and quantization, functional characterization of digital signals and transmission facilities, band-limited signals and systems. Digital modulation/demodulation techniques, error probability, intersymbol interference and its effects, adaptive equalization. Signaling with coded waveforms, fading and satellite channels, multiple access problems and protocols. Introduction to spread-spectrum Communications.
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ENEE 625: Multi-user Communication (3)
Prerequisite: ENEE 620. Basic queueing models. Store-and forward communications networks; switching modes; delay-throughput measures; capacity assignment; routing; topological design; computational aspects; flow control; error control; protocols; specification and validation; local networks; satellite and packet radio systems; multiple access schemes; stability and performance; multi-user information theory; and large scale system theory. See the in-depth course description for more information.
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ENEE 626 (722): Error Correcting Codes (3)
Prerequisite: Linear algebra.
Transmission of information over channels and goals of coding theory, linear codes, their properties and decoding, examples of linear codes, weight distributions, finite fields, cyclic codes, BCH and RS codes, Fourier transforms in finite fields, bounds on the error probability of decoding, bounds on codes, the ensemble of random linear codes, convolutional codes, iterative decoding methods. The course emphasizes the tradeoff between performance and implementation complexity of constructions and algorithms.
See the in-depth course description for more information.
Also see: Course Website
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ENEE 627(721): Information Theory (3)
Prerequisite: ENEE 620. Information measures and their properties: entropy, relative entropy and mutual information. Information sourse models. Lossless data compression: the Kraft inequality, Shannon-Fano and Huffman codes. Typical sequences, asymptotic equipartition property, lossy source coding. Discrete memoryless channels: capacity, channel codin theorem. The additive Gaussian channel. Source coding under a fidelity contraint: rate disctortion function and rate distortion theorem.
See the in-depth course description for more information.
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ENEE 630(624): Avanced Digital Signal Processing (3)
Prerequisite: ENEE 425 or equivalent; corequisite: ENEE 620.
This is the first-year graduate course in signal processing. The objective is to establish fundamental concepts of signal processing on multirate processing, parametric modeling, linear prediction theory, modern spectral estimation, and high-resolution techniques. See the in-depth course description for more information.
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ENEE 631: Digital Image Processing (3)
Corequisites: ENEE 620 or ENEE 624 or permission of the instructor. Fundamental topics in Image Processing. Topics include 2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, including transform, differential pulse code modulation, vector quantization, wavelet, subband coding, still and video compression coding standards. See the in-depth course descriptionfor more information.
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ENEE 632: Speech and Audio Processing (3)
Prerequisites: ENEE 620 and ENEE 630. The objective of this course is to study different aspects of the speech communication process and the principles of discrete-time processing of speech and music.
See the in-depth course description for information about this course.
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ENEE 633 (739Q):Statistical/Neural Recognition of Patterns (3)
Prerequisite: ENEE 620 and senior level linear algebra. The goal of this course is to introduce the graduate student to mathematical pattern recognition. Emphasis is given to statistical aspects of the recognition problem, clustering and machine learning. See the in-depth course description for information about this course.
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ENEE 634 (724): Space-Time Signal Processing (3)
Prerequisite: ENEE 620 and ENEE 630. This course considers space-time processing aspects of signal processing, including fast algorithms, numerical computation, adaptive beamforming, direction of arrival estimation, array processing, adaptive algorithms, channel equalization, blind equalization and identification, and space-time coding, modulation, and MIMO communications and signal processing.
See the in-depth course description for information about this course.
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ENEE 640: VLSI Architecture (3)
Prerequisites: ENEE 446 or equivalent; and ENEE 408C or equivalent; and permission of the instructor. The course will cover the most important methodologies for designing custom or semi-custom VLSI systems for a wide variety of applications focusing on some typical signal processing applications. General techniques covered include pipelining, retiming, folding and unfolding, and systolic array design. Mapping of algorithms on array structures, DSP systems, and Field Programmable Gate Arrays (FPGAs) will be described for selected algorithms.
See the in-depth course description for more information.
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ENEE 641: Mathematical Foundations for Computer Engineering (3)
Prerequisite: None Mathematical modeling, design, analysis and proof techniques related to computer engineering. Probability, logic, combinatorics, set theory, and graph theory, as they pertain to the design and performance of computer engineering systems. Techniques for the design and analysis of efficient computational methods from graph theory and networks. Understanding of the limits on the efficiency of such computational methods. Translation from mathematical theory to actual programming. The course emphasizes mathematical rigor.
See the in-depth course description for more information.
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ENEE 642: Software System Implementation (3)
Prerequisite: ENEE 447 or equivalent course in operating systems. This course provides comprehensive insight into the implementation of systems-level software, especially for embedded computers. It concentrates on the methods, software architectures, design strategies, CASE tools, and real-time operating system services that the students will most likely encounter in industry and in their own graduate research laboratories. Students will learn to apply both formal and informal software design techniques to small projects and every-day programming needs.
See the in-depth course description for more information.
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ENEE 644: Computer-Aided Design of Digital Systems
Prerequisites: ENEE 446 or equivalent; and ENEE 408 or equivalent. Design methodologies for digital systems using a modern hardware description language. Algorithmic, architectural and implementation aspects of arithmetic processing elements. Design of Complex Instruction Set (CISC), Reduced Instruction Set (RISC), and floating point processors. Synthesis, simulation and testing of processors with computer-aided design tools. Comment: Students in some sections may, on permission, fabricate VLSI chips via MOSIS.
See the in-depth course description for information about this course.
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ENEE 646: Digital Computer Design (3)
Prerequisite: ENEE 446 or equivalent knowledge of basic digital computer design, as well as experience in assembly language programming for at least one instruction set architecture and basic probability theory. Concepts and techniques for design of computer systems with improved performance. Advanced I/O systems, memory organization, pipelined and parallel processors, bus bandwith, processor/memory interconnections, cache memory, virtual memory, multiprocessors, performance evaluation.
See the in-depth course description for more information.
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ENEE 647: Design of Distributed Computer Systems (3)
Prerequisite: ENEE 447 or equivalent. Communication protocols, models of interprocess communication and synchronization in distributed operating systems, interprocess synchronization and communication primitives; remote procedure call protocols; electronic mail and store-and-forward communication; deadlock handling in distributed systems; processes and transactions in distributed systems; client servers models of computation; distributed shared memory; distributed file systems; recovery and fault-tolerance; protection and communication security.
See the in-depth course description for more information.
Machine realizations; partitions and the substitution property; pair algebras and applications; variable dependence; decomposition; loop-free structures; set system decompositions; semigroup realizations.
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ENEE 647: Design of Distributed Computer Systems (3)
Prerequisite: ENEE 447 or equivalent. Communication protocols, models of interprocess communication and synchronization in distributed operating systems, interprocess synchronization and communication primitives; remote procedure call protocols; electronic mail and store-and-forward communication; deadlock handling in distributed systems; processes and transactions in distributed systems; client servers models of computation; distributed shared memory; distributed file systems; recovery and fault-tolerance; protection and communication security.
See the in-depth course description for more information.
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ENEE 660: System Theory (3)
Also offered as AMSC 640. Previously offered as 663. General systems models. State variables and state spaces. Differential dynamical systems. Discrete time systems. Linearity and its implications. Controllability and observability. State space structure and representation. Realization theory and algorithmic solutions. Parameterizations of linear systems; canonical forms. Basic results from stability theory. Stabilizability. Fine structure of linear multivariable systems; minimal indices and polynomial matrices. Inverse nyquist array. Geometric methods in design. Interplay between frequency domain and state space design methods. Interactive computer-aided design methods. See the in-depth course description for more information.
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ENEE 661: Nonlinear Control Systems (3)
Prerequisite: ENEE 460 or permission of instructor. State space methods of stability analysis including second order systems and the phase plane, linearization and stability in the small, stability in the large and Lyapunov's second method. Frequency domain methods including the describing function. Popov's method and functional analytic methods. Introduction to Volterra series representations of nonlinear systems. Applications to conrol system design.
See the in-depth course description for more information.
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ENEE 664: Optimal Control (3)
Prerequisite: ENEE 460. Also offered as AMSC 641. General optimization and control problems. Static optimization problems. Linear and nonlinear programming methods. Geometric interpretations. Dynamic optimization problems. Discrete time maximum principle and applications. Pontryagin maximum principle in continuous time. Dynamic-programming. Feedback realization of solutions. Extensive applications to problems in optimal design, navigation and guidance, power systems. Introduction to state constrained and singular optimal control problems.
See the in-depth course description for more information.
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ENEE 680: Electromagnetic Theory I (3)
Prerequisite: ENEE 381 or equivalent. Theoretical analysis and engineering applications of Maxwell's equations. Boundary value problems of electrostatics and magnetostatics.
See the in-depth course description for more information.
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ENEE 681: Electromagnetic Theory II (3)
Prerequisite: ENEE 381 or equivalent. Continuation of ENEE 680. Theoretical analysis and engineering applications of Maxwell's equations. The homogeneous wave equation. Plane wave propagation. The interaction of plane waves and material media. Retarded potentials. The Hertz potential. Simple radiating systems. Relativisitic covariance of Maxwell's equations.
See the in-depth course description for more information.
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ENEE 686: Charged Particle Dynamics, Electron and Ion Beams (3)
Prerequisite: permission of instructor. General principles of single-particle dynamics; mapping of the electric and magnetic fields; equation of motion and methods of solution; production and control of charge particle beams; electron optics; Liouville's theorem; space charge effects in high current beams; design principles of special electron and ion beam devices.
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ENEE 690: Quantum and Wave Phenomena with Electrical Application (3)
Prerequisites: ENEE 381 and ENEE 382 or equivalent. Introduction of quantum and wave phenomena from electrical engineering point of view. Topics included: general principles of quantum mechanics, operator algebra, the microwave resonant cavity and the analagous potential well problem, harmonic oscillator, hydrogenic atom. Perturbation method applied to the transmission line and potential well problems. Periodically loaded transmission line and Kronig-Penny model of band theory.
See the in-depth course description for more information.
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ENEE 691: Optical Communication Systems (3)
Optical components and systems. Measures of performance of optical communication systems. Topics include: single and multi-mode optical fibers, DFB and DBR lasers, transmitters and receivers, pin and APD detectors, noise analysis, receiver sensitivity modulation formats, system performance, bit-error-rate, power budget, TDM and WDM systems, network architecture.
See the in-depth course description for more information.
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ENEE 698: Graduate Seminar (1-3)
Prerequisite: permission of instructor. Every semester regular seminars are held in electrical science and in the six areas of specialization offered by the electrical engineering department. They may be taken, by arrangement with the student's advisor, for repeated credit.
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ENEE 699: Independent Studies in Electrical Engineering (1-3)
Prerequisite: permission of instructor. Repeatable to 3 credits.
Each offering/section consists of supervised individual study or project, or supervised group study or project, at an advanced level, in electrical engineering.
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ENEE 702 (714): Advanced Electronic Materials and Devices (3)
Prerequisite: ENEE 480 or equivalent. This course covers the operating principles, fabrication, characteristics and applications of advanced electronic devices. These devices are the subject of current research that offer unique advantages in certain aspects over conventional devices. Core topics are as follows: ideal properties of electron gas, electronic states in bulk GaAs and at the heterojunctions, doping properties in heterostructures, electron transport properties at 2D interfaces (including resonant tunneling), electronic and optical properties at 2D interfaces, device applications (HEMT, HBT, QWLaser, QDLaser). Possible additional topics include low-dimensional and nanometer-scale device physics, magnetic & ferroelectric devices, single-electron transistors, quantum devices, and RTD's.
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ENEE 704 (694): Physics and Simulation of Semiconductor Devices (3)
The course will cover the physics of electron transport in semiconductor devices. Numerical methods for attaining solutions to transport equations will be explored. Students will also learn how to use CAD tools for semiconductor device design. Nano-electronic devices will be introduced.
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ENEE 719: Advanced Topics in Microelectronics (3)
Topics selected, as announced every semester, from the field of microelectronics and its applications. The following is a sample of courses that have been or are currently being offered:
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ENEE 720 (729W): Wireless Communication Theory(3)
Prerequisites: ENEE 620 and ENEE 621. The main goal of this course is to introduce the students to the multiple-user communication theory. The most prominent application of this theory is the physical layer of CDMA wireless communication networks. The course starts with a review of the single-user communication theory, introduces the distinguishing features of wireless communication channels, such as fading and multiple-access interference, establishes the weaknesses of single-user detection techniques when used in multi-user systems, introduces and investigates in detail the optimum multi-user detector, and then presents low-complexity suboptimum multiuser detectors such as decorrelating detector, MMSE detector and decision-feedback detector. This course also studies the physical layer techniques of diversity reception/transmission, multiple transmit/receive antennas, and beamforming. See the in-depth course description for more information.
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ENEE 723: Wireless Communication Networks (3)
Prerequisites: ENEE620 and ENEE 625, or equivalent. This course reviews the fundamental characteristics of wireless networks by focusing on the wireless link, on the media access control, and on interference issues. It reviews the cellular architecture model with emphasis on bandwidth reuse, power control, handoffs, and mobility tracking. It then considers wireless local area networks with focus on recent proposed standards as well as on the special case of infrared networks. Following that, it studies ad hoc networks with focus on routing/multicasting and on capacity notions. It also considers the principles of layer integration and energy efficiency and it reviews the special cases of sensor networks and satellite systems.
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ENEE 725: Advanced Networking (3)
Prerequisites: ENEE 625, or equivalent. This is the second-year graduate course in networking. The objective of the course is to teach the current and new protocols and techniques for modeling a network.
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ENEE 729: Advanced Topics in Communications (3)
Topics selected, as announced every semester, from the field of communications and its applications. The following is a sample of courses that have been or are currently being offered:
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ENEE 731: Image Understanding (3)
Prerequisites: ENEE 631 and ENEE 633. This is an advanced graduate level course on image understanding. We will discuss mathematical and statistical approaches to solving image understanding problems. Topics to be covered include: optimal edge and shape detection; image understanding using Markov random field models; Monte Carlo Markov Chain techniques for image understanding; shape from shading, stereo, texture and contour; structure from motion and object recognition. We will discuss existence, uniqueness and convergence issues for many of these problems.
See the in-depth course description for more information.
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ENEE 739: Advanced Topics in Signal Processing (3)
Topics selected, as announced every semester, from the field of signal processing and its applications. The following course has been offered recently:
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ENEE 749: Advanced Digital Systems Design (3)
Prerequisites: ENEE 640 or ENEE 644; and permission of instructor. VLSI architecture and algorithms; design strategies; design methodologies; system-level design; area/delay/power trade-offs; high-performance systems; multi-chip modules; low-power design; hardware/software co-design. design for testability, design for manufacturability; algorithm, architecture, and component design for adaptive computing systems; prototype system development and test, possible chip fabrication by MOSIS and subsequent chip testing.
See the in-depth course description for more information.
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ENEE 750: VLSI Design Automation (3)
Prerequisites: ENEE 640; and permission of the instructor. Design process of VLSI circuits and systems; Computer-Aided Design (CAD) tools; system partitioning, floorplanning, placement, global and detailed routing; Field Programmable Gate Arrays (FPGAs), Multi-Chip Modules (MCMs), Printed Circuit Boards (PCBs), possible chip fabrication by MOSIS and subsequent chip testing.
See the in-depth course description for more information.
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ENEE 752: Computational Intelligence and Knowledge Engineering (3)
Prerequisite: permission of instructor. Concepts, design, implementation of computational intelligence involving integration of four methodologies: intelligent database management systems, rule-based systems, neural-type systems and fuzzy systems for heuristic problem solving, diagnostics, risk analysis and decision support; decision trees, reasoning techniques, heuristics and expertise; knowledge representation and acquisition; machine learning systems for pattern and feature extraction; neural network models, fuzzy systems; neural networks as expert systems; composite and neuro-fuzzy systems; coupling databases, knowledge bases and neural networks; hardware-software issues, survey of practical designs and evaluation. Completion of a term project involving system integration of two or more of the studied methodologies for a specific domain application. Students in this course with the approval of the instructor can fabricate, as part of their term project, VLSI chips via MOSIS.
See the in-depth course description for more information.
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ENEE 756: Computer Networks (3)
Prerequisites: ENEE 324 or equivalent; and ENEE 646. ISO open systems reference model, protocol layers, TCP/IP, channel coding, data communication concepts, local area network (LAN) topologies and transmission media, queueing theory applied to LAN performance modeling, LAN access techniques, network interconnections, network reliability, network security, performance analysis of ring and bus topology networks, reliability of fiber optic ring networks.
See the in-depth course description for more information.
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ENEE 757: Security in Distributed Systems and Networks (3)
Prerequisites: ENEE 647; or permission of instructor. Threats and coutermeasures in centralized and distributed systems; communication security techniques based on encryption; symmetric and asymmetric encryption; encryption modes, including stream and block encryption, and cipher-block chaining; message origin and mutual authentication; third-party and inter-realm authentication; authentication of mobile users; data confidentiality and integrity protocols; formal analysis of authentication protocols and message integrity; access control in distributed systems and networks; firewall design; case studies of security mechanisms and policies.
See the in-depth course description for more information.
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ENEE 759: Advanced Topics in Computer Engineering (3)
Topics selected, as announced every semester, from the field of computer engineering and its applications. The following is a sample of courses that have been or are currently being offered:
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ENEE 762: Stochastic Control (3)
Prerequisite: ENEE 620 or equivalent; and ENEE 663/AMSC 640. Also offered as AMSC 742. Stochastic control systems, numerical methods for the Ricatti equation, the separation principle, control of linear systems with Gaussian signals and quadratic cost, non-linear stochastic control, stochastic stability, introduction to stochastic games.
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ENEE 763: Advanced Nonlinear Control Systems (3)
General introduction to the geometric theory of nonlinear control systems. Theory of decoupling, disturbance rejection, feedback linearization, stability, stabilization, etc.
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ENEE 769: Advanced Topics in Controls (3)
Topics selected, as announced every semester, from the field of controls and its applications. The following is a sample of courses that have been or are currently being offered:
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ENEE 780: Microwave Engineering (3)
Prerequisite: ENEE 681. Mathematical methods for the solution of the wave equation, transmission lines and waveguides, selected topics in the theory of waveguide structures, surface guides and artificial dielectrics.
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ENEE 789: Advanced Topics in Electrophysics (3)
Topics selected, as announced every semester, from the field of electrophysics and its applications. The following is a sample of courses that have been or are currently being offered:
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ENEE 790: Quantum Electronics I (3)
Prerequisite: a knowledge of quantum mechanics or permission of instructor. Spontaneous emission, interaction of radiation and matter, masers, optical resonators, the gas, solid and semi-conductor lasers, electro-optical effect, propagation in anisotropic media and light modulation.
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ENEE 791: Quantum Electronics II (3)
Nonlinear optical effects and devices, tunable coherent light sources: optical parametric oscillator; frequency conversion and dye laser. Ultrashort pulse generation and measurement, stimulated raman effect, and applications. Interaction of acoustic and optical waves, and holography.
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ENEE 798: Advanced Topics in Electrical Engineering (3)
As announced every semester. The following is a sample of courses that have been or are currently being offered:
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ENEE 799: Master's Thesis Research (1-6)
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ENEE 898: Teaching Workshop (1)
This workshop is restricted to the Graduate Teaching Fellows who are required to register for one credit every semester. It provides training in education for senior PhD students who contemplate an academic career, and give them the opportunity to gain some teaching experience. Emphasis is on issues that are of special importance in electrical and computer engineering education.
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ENEE 899: Doctoral Dissertation Research (1-8)
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