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College of Engineering 331 Engineering Building General Statement Civil Engineering Electrical Engineering Mechanical Engineering Master of Science
Engineering Course Descriptions- |
EE 611. Digital Data Communication. (3 s.h.) Prerequisites: EE 612 and a high level programming language. Introduction to current developments in data communication and computer networks. IEEE DQDB, FDDI, ISDN, ATM, frame relay, SMDS, and other related topics; queuing theory and simulation. EE 612. Performance of Data Networks. (3 s.h.) Prerequisites: EE 611 and a high level programming language. Introduction to computer networks; review of Internet, LAN, and ATM design principles; Queueing theory and simulation; performance evaluation of networks. EE 620. Computer Control Systems. (3 s.h.) Introduction of discrete time systems and z-transform; applied control concepts using PLCs, microprocessors, and microcomputers; design of modern PLC systems, signal conditioning, sensor interface, implementation of various control algorithms using the TMS320 and the 87C751 DSP chips, real-time control, interrupt design, I/O assignment; general purpose microcomputer interface using an A/D and D/A converter; controller implementation using C++; applications. EE 622. Modern Control: Design and Applications. (3 s.h.) Review of control concepts and application; state space representation of dynamical systems; controllability, observability; design of full state feedback and output feedback systems; eigenstructure assignment; the linear quadratic regulator; Kalman filters; estimation and filtering; robust control design, application examples. EE 635. Real-Time Operating Systems. (3 s.h.) Nucleus system calls for multitasking and multiprocessor real-time operating systems; interaction of message passing protocols with advanced bus architectures; applications in wavefront array processing and communication systems. EE 646. Detection, Estimation, and Modulation Theory. (3 s.h.) Prerequisite: ENGR 541. Signal detection and estimation in white and non-white noise, MAP estimation, applications in data and telecommunications. Wiener and Kalman-Bucy filters, linear and non-linear modulation. EE 648. Adaptive Signal Processing. (3 s.h.) Introduction to adaptive filtering and system identification techniques ("tools"). Mathematical theory of various adaptive filters such as the Wiener filter; adaptive filter techniques such as Linear Prediction, Least-Mean-Square, and Recursive Least-Squares algorithms; application of adaptive filters to communications, control, radar, sonar, seismology, speech and biomedical signal processing. EE 649. Adaptive Control I. (3 s.h.) Prerequisite: ENGR 511. State space modeling in the discrete time domain, recursive least square estimation, persistently exciting input signals, direct and indirect adaptive prediction, model reference adaptive control, self tuning regulator, one-step-ahead control, adaptive pole placement, Kalman filter, Levinson predictor, stochastic approximation. EE 680. Computer Architecture I. (3 s.h.) Architectural design decisions and their relationship to processor performance; hardware and software trade-offs used in modern microprocessor designs; architectural design and modeling tools; advanced processor design at the behavioral, structural and physical levels. EE 700. Advanced VLSI Design. (3 s.h.) Prerequisite: EE 600. More advanced VLSI design techniques. Algorithms for simulating large digital MOS circuits. Accuracy and speed trade-offs, uncertainty bounds. Testability, systemic timing errors in VLSI test systems, built-in test design and analysis techniques. EE 727. Robust Control Systems. (3 s.h.) Introduction to uncertain systems; representation of uncertainties; structured and unstructured uncertainties; robustness via eigenstructure method; interval analysis and its application to robust control; application of the Lyapunov method to robust control problems; Kharitonov theorem and its application to control design; robust optimal control; state space design for finite and infinite horizon problems; HÏ design in the frequency domain; stochastic uncertainties.
EE 790. Special Topics in Electrical and Computer Engineering. (3 s.h.) Selected advanced topics in various major research areas under electrical and computer engineering. EE 795. Research Project. (3 s.h.) Under the guidance of a faculty member, students will select a topic in electro-technology to be researched using at least five references. An extensive research paper will be written which will be reviewed by two faculty members. Projects related to industrial applications are encouraged. For non-thesis students only.
EE 796, 797. Research I, II. (3 s.h. each) Under the guidance of a faculty member, the student will conduct an independent research on a selected topic in electrical and computer engineering. The research results will be presented in the form of a paper.
EE 798. Thesis I. (3 s.h.) Formulation of the thesis topic. Literature review and research of the proposed topic. Oral presentation and written submission of thesis proposal. For thesis students only. EE 799. Thesis II. (3 s.h.) Prerequisites: EE 798 and acceptance of the thesis proposal. Completion and oral presentation of thesis work. Submission of the written thesis. For thesis students only.
Courses shared by all departments ENGR 501. Engineering Mathematics I. (3 s.h.) Provides the mathematical tools needed by students to carry out master’s level graduate study in engineering. Topics include: real-variable theory (limits, series, functions of several variables, vector field theory), complex variable theory, linear analysis (systems of linear equations, eigenvalue problems, Sturm-Louisville theory) and recipes for the numerical solution of any first or second order linear differential equation. The mathematical symbolic-algebraic software system is introduced.
ENGR 505. Mechanical Behavior of Materials (Failure of Materials). (3 s.h.) Elastic and plastic deformation of materials; introduction to dislocation theory; failure analysis. Topics include loading in real-life situations, variable loading, failure theories, buckling and instability, fatigue analysis, and fracture mechanics. Case histories are introduced from a variety of industries including automotive, aerospace, utilities, oil and gas, petrochemical and biomedical. Helpful techniques are introduced such as operating stress maps. ENGR 506. Mechanics of Solids. (3 s.h.) The topics covered include: strain-energy methods; special problems in bending and torsion; curved bars; beams on elastic foundations; thick-walled cylinders; shrink fit assemblies and rotating discs; thin-walled pressure vessels; bending of thin plates; limit analysis; buckling of bars and plates. ENGR 511. Linear Systems Analysis. (3 s.h.) An introduction to finite dimensional linear systems, advanced concepts of linear algebra. State space realizations and canonical forms, controllability, observability, minimality and reconstructability. Design of controllers and observers. |