Barbara Schreur, Graduate Coordinator
Engineering Complex 321. MSC 192. Extension 2627.
Graduate Faculty: T. Joe Boehm, Rajab Challoo, Chung S. Leung, Reza Nekovei, Iqbal Omar, Sung Park, Barbara Schreur
Associate Members: Lifford McLauchlan, Donald Varvel
Graduate Program Objective
The objective of the graduate electrical engineering and computer science programs is to produce graduates with broad and up-to-date knowledge, skills and judgment, prepared for professional careers in industry and/or further studies that emphasize advanced design, development and research methods.
The Master of Science degree is available in both Electrical Engineering and Computer Science.
The facilities of the department include laboratories for work in electronics, microwaves, controls and dynamic systems, microcomputer system development and a wide range of digital and analog computational facilities ranging from a large mainframe time-shared computer to numerous microcomputer systems.
COMPUTER SCIENCE (CSEN)
5302. Neural Computation. 3(3-0) Basic concepts of neural computation. Theory of neural computation. Architecture and implementation of neural networks. Neural network implementation of pattern
recognition algorithms. Neural network implementation of intelligent control systems. Prerequisite: graduate standing in computer science or another engineering discipline.
5303. Advanced Topics in Computer Science. V:1-3 One or more advanced topics. May be repeated when topic changes. (Credit may not be obtained for both CSEN 5303 and EEEN 5303 courses if the topic is the same.)
5304. Advanced Computer Architecture. 3(3-0) Introduces the design principles of modern computers. The topics include RISC and
CISC architecture, interconnection networks, multiprocessors and multicomputer systems, dataflow and systolic arrays, future outlook for architectures and the basics of parallel algorithms. Credit may not be obtained in both CSEN 5304 and EEEN 5304.
5305. Graduate Research Project. 3 A graduate research project must be completed and submitted to the Graduate Office for a grade to be assigned, otherwise IP notations are recorded. This course is specifically designed for Plan II and Plan III students. Prerequisite: departmental approval.
5306. Thesis. 3 This course is for Plan I students. The course requires 6 hours of grades, the first 3 hours consisting of completion of a thesis proposal and the last 3 hours consisting of
completion of the thesis. Completion of the thesis proposal is a prerequisite for enrollment in the last 3 hours of thesis.
5313. Compiler Design. 3(3-0) This course introduces the structure of a compiler and the various techniques used for designing a compiler. Topics include grammars, parsing methods, implementation details and translator writing systems. Prerequisite: CSEN 4366.
5314. Database Systems. 3(3-0) Basic concepts and architecture of database systems, ER model, relational model, relational algebra, SQL, ER-to-rational mapping, functional dependencies normalization, database design process, object-oriented database. Distributed database. Prerequisite: graduate standing in computer science or another engineering discipline.
5322. Operating Systems. 3(3-0) Operating systems principles; procedures and their implementation; protection, concurrent, cooperating and communicating processes; storage management; resource allocation; scheduling; file systems; and system design issues. Prerequisite: CSEN 4362.
5323. Computer Communication Networks. 3(3-0) The International Standards Organization (ISO) Open Systems Interconnection (OSI)
model as a framework for the study of computer communication networks. Data
communication. Functions and protocols of physical layer, medium access sublayer, link layer, network layer and transport layer. Case studies. ISDN. Prerequisite: graduate standing in computer science or electrical engineering.
5325. Software Engineering. 3(3-0) Covers development life-cycle models, inspection process, software quality metrics, testing, validation metrics, estimation and scheduling. Prerequisite: graduate standing in engineering.
5333. Real Time Systems. 3(3-0) Characteristics of systems and techniques used in real time computer applications. Scheduling theory, verification and design techniques including simulation and probablistic models. Prerequisite: graduate standing.
5335. Microcomputer Based Design. 3(3-0) Role of microcomputers, register and data manipulation, hardware, memory,
input/output, hardware and software development, algorithmic processes. (Credit may not be obtained for both this course and EEEN 5335.) Prerequisite: CSEN 2330.
Includes a review of network architectures, perceptron, linear networks, back-propagation and radial basis networks. A real-time laboratory experience in seeing the application of neural networks. Prerequisite: graduate standing in Computer Science. (Credit may not be obtained in both CSEN 5350 and EEEN 5350.)
5365. Advanced Numerical Methods. 3(3-0) Numerical differentiation and integration. Numerical solutions of ordinary and partial differential equations. Prerequisites: CSEN 4363, MATH 3315 and MATH 3320.
5401. Advanced Problems in Computer Science. V:1-4 Individual or group research on advanced problems conducted under the supervision of a faculty member. Maximum credit 8 semester hours.
ELECTRICAL ENGINEERING (EEEN)
5303. Advanced Topics in Electrical Engineering. V:1-3 One or more advanced topics. May be repeated when topic changes. (Credit may not be obtained in both EEEN 5303 and CSEN 5303 courses if the topic is the same.)
5304. Advanced Computer Architecture. 3(3-0) Introduces the design principles of modern computers. The topics include RISC and
CISC architectures, interconnection networks, multiprocessors and multicomputer systems, dataflow and systolic arrays, future outlook for architectures and the basics of parallel algorithms. Credit may not be obtained in both EEEN 5304 and CSEN 5304.
5305. Graduate Research Project. 3 A graduate research project must be completed and submitted to the Graduate Office for a grade to be assigned, otherwise IP notations are recorded. This course is specifically designed for Plan II and Plan III students. Prerequisite: departmental approval.
5306. Thesis. 3 This course is for Plan I students. The course requires 6 hours of grades, the first 3 hours consisting of completion of a thesis proposal and the last 3 hours consisting of
completion of the thesis. Completion of the thesis proposal is a prerequisite for enrollment in the last 3 hours of thesis.
5321. Digital Computer Design. 3(3-0) Register operations, arithmetic operations, control of operations, memory systems, methods of input and output. Examples of commercial systems, system design of a general purpose computer. Prerequisite: EEEN 4355.
5324. Control System Synthesis. 3(3-0) Actuators and transducers, static and dynamic accuracy of systems, describing functions, compensation, design of typical control systems. Prerequisite: EEEN 4354.
5326. Dynamic Systems I. 3(3-0) Mathematical analysis of engineering, dynamic systems. Modeling, simulation, transfer functions, state variables, stability of linear systems. Prerequisite: MATH 3320.
Continuation of Dynamic Systems I. Nonlinear systems, discrete time systems, control of engineering systems, methods of optimization. Prerequisite: EEEN 5326.
5330. Rapid Prototyping and ASIC Design. 3(3-0) Principles of electronic system design using Application-Specific Integrated Circuits
(ASIC) approach: digital hardware modeling techniques using an HDL, logic simulation, logic synthesis, standard cells, gate arrays, sea of gates, bit serial hardware design methods and analog methods.
5331. Digital Signal Processing. 3(3-0) Digital processing of signals, z-transform, digital filters, discrete and fast Fourier transforms, power spectrum, autocorrelation, cepstrum analysis.
5332. Linear Electronic Circuits. 3(3-0) Analysis and design of DC, video and feedback amplifiers. Frequency plane techniques. Communications, circuit design. Noise considerations.
5333. Principles of VLSI Circuit Design. 3(3-0) Principles of design and fabrication of microelectronic circuits via Very Large Scale
Integrated circuitry (VLSI), structured design methods for VLSI systems, use of
computer-aided design tools, design projects of small to medium scale integrated circuits. Prerequisite: EEEN 3338 or equivalent.
5335. Microcomputer Based Design. 3(3-0) Role of microcomputers, register and data manipulation, hardware, memory,
input/output, hardware and software development, algorithmic processes. Prerequisite: CSEN 3361. (Credit may not be obtained for this course and for CSEN 5335.)
5336. Computer Communication Networks. 3(3-0) The International Standards Organization (ISO) Open Systems Interconnection (OSI)
model as a framework for the study of computer communication networks. Data
communication. Functions and protocols of physical layer, medium access sublayer, link layer, network layer and transport layer. Case studies. ISDN. Prerequisite: graduate standing in computer science or electrical engineering.
5337. Digital Image Processing. 3(3-0) Introduces the computer vision systems. Topics include edge detection, spatial-domain processing, frequency-domain processing, color processing, texture analysis, shape analysis and making movies from a deck of frames.
5338. Digital and DSP Based Control. 3(3-0) Classical and modern control analysis and design methods and techniques. Topics include discrete control system analysis, sampled data systems, discrete equivalents of continuous systems, design using transform techniques, design using state-space methods and the real-time control of dynamic systems using digital computers and micro-
controllers. Prerequisite: EEEN 4354 or consent of instructor.
5340. Speech Processing. 3(3-0) Fundamentals of digital signal processing, waveform coding, speech spectrum, voice coders, linear predictive coding, speech recognition, adaptive noise cancellation and
multirate signal processing.
5350. Application of Neural Networks. 3(3-0) Includes a review of network architectures, perceptron, linear networks, back-propagation and radial basis networks. A real-time laboratory experience in seeing the application of neural networks. Prerequisite: graduate standing in Computer Science. (Credit may not be obtained in both EEEN 5350 and CSEN 5350.)
5401. Advanced Problems in Electrical Engineering. V:1-4 Individual or group research on advanced problems conducted under the supervision of a faculty member. Maximum credit 8 semester hours.
To earn graduate credit for any undergraduate course authorized in the graduate catalog, the student must complete an extra assignment of graduate level quality that is not required of undergraduate students. The following undergraduate advanced courses have been approved by the Graduate Council for graduate credit: EEEN 4329.
Communications Engineering. EEEN 4354. Linear Control Systems. EEEN 4355.
Digital Systems Engineering. EEEN 4356. Data Acquisition Systems.
ENVIRONMENTAL ENGINEERING
Alvaro Martinez, Graduate CoordinatorEngineering Complex 370. MSC 213. Extension 3074.
Graduate Faculty:Lee Clapp, Kuruvilla John, Kim D. Jones, Alvaro I. Martinez, Jianhong Ren, Venkatesh Uddameri
ENVIRONMENTAL ENGINEERING (EVEN)
The Environmental Engineering Program is an interdisciplinary program which prepares graduate students for professional careers in one or more of the following areas: Air Quality, Waste Quality, Solid/Hazardous Waste, Ecological Engineering, Environmental and Occupational Health, Environmental Systems, Environmental Informatics and Environmental Biotechnology. There are state-of-the-art laboratories and computer facilities available for research and teaching.
Environmental Engineering master’s students are eligible to take doctoral level
environmental engineering courses as part of their degree plan, and two or more electives from the environmental engineering curricula or other disciplines with committee approval.
5199. Environmental Engineering Graduate Seminar. 1(1-0) Fifty minute lectures, with question and answer session, given by guest lecturer
presenting materials and talks pertinent to environmental issues. Speakers will represent government agencies, private corporations, chemical manufacturers, consulting firms and universities; all experts in their subject. Prerequisite: graduate standing in EVEN or related discipline.
5301. Advanced Problems in Environmental Engineering. V:1-3 Individual or group research on advanced problems conducted under the supervision of a faculty member. Maximum credit 8 semester hours.
5303. Advanced Topics in Environmental Engineering. V:1-3 One or more advanced topics. May be repeated for a maximum of 6 semester hours.
5305. Graduate Research Project. 3 A graduate research project must be completed and submitted to the Graduate Office for a grade to be assigned, otherwise IP notations are recorded. This course is specifically designed for Plan II and Plan III students. Prerequisite: departmental approval.
5306. Thesis. 3 This course is for Plan I students. The course requires 6 hours of grades, the first 3 hours consisting of completion of a thesis proposal and the last 3 hours consisting of
completion of the thesis. Completion of the thesis proposal is a prerequisite for enrollment in the last 3 hours of thesis.
5328. Design of Air Pollution Control Systems. 3(3-0) Discussions in process design. Classification identification and particle size distribution of particulate air pollutants. Control technology of particulate air pollutants, process design variables applications. A particulate control problem project. Prerequisites: CHEN 3347 or equivalent.
5330. Mathematical Modeling of Water Quality. 3(3-0) Ecological and human effects assessment; environmental decision criteria; monitoring
strategies; environmental exposure assessment; development of pollutant transport, fate and persistence models; model parameter estimation. Prerequisite: CEEN 3365 or equivalent.
5331. Air Quality Modeling. 3(3-0) Discussion of air pollution, meteorology and modeling. Introduction to numerical analysis techniques and computer models for the prediction of atmospheric pollution and air quality. Development of atmospheric dispersion models for air pollution problems. An overview of urban and regional air quality models and applications. Prerequisites: CEEN/CHEN 3392 or equivalent.