Graduate Catalog 2004-2006
UDM Academic PoliciesCourse DescriptionsList of All ProgramsFaculty


EE 454 Fuzzy System Theory & Applications
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
Senior Standing.


A study of the fundamental concepts of fuzzy set theory and its engineering applications. Topics include fuzzy sets and relations, operations on fuzzy sets, fuzzy rules and inference systems, defuzzification methods, selected applications in the area of controls, image processing, etc.
300

EE 466 Electromagnetics II
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 366



Maxwell's equations constitutive relations, boundary condition. Poynting theorem. Plane waves, wave polarization, phase and group velocities. Reflection, refraction and attenuation of plane waves in various media. Transmission lines, waveguides and resonators. Antennas and radiation. Wave propagation and radar equation.
300

EE 470 Control Systems II
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
E 322



Advanced study of root locus analysis. Frequency response analysis. Design and compensation techniques. Describing-function analysis of nonlinear control systems. Control system analysis and design using state-space methods.
300

EE 474 Communication Theory II
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 374



Digital communication, probability and random variables, mathematical representation of noise, effect of noise upon system performance, pulse amplitude modulation, multiple pulse detection of signals, detection of signals in colored Gaussian noise, estimation of signal parameters.
300

EE 554 Fuzzy System Theory & Applications
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


A study of the fundamental concepts of fuzzy set theory and its engineering applications. Topics include fuzzy sets and relations, operations on fuzzy sets, fuzzy rules and inference systems, defuzzification methods, selected applications in the area of controls, image processing, etc.
300

EE 558 Advanced Electronics
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 358



The special topics on 1) Design and Applications with operational amplifiers: linear and non-linear op-amp circuits, active filters, DA/AD converters, signal generators and switching capacitors, 2) power electronics: ac switching controllers, inverteres, choppers, ac/dc motor speed control circuits.
300

EE 560 Computer-Aided Design of Integrated Circuits
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
Senior standing.


Introduction to the basic electrical properties and the technology of fabrication of MOS devices. Automatic layout generation, routing and design simulation with CAD tools using digital logic circuit examples. Case study.
300

EE 562 Random Variables and Random Processes
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Probability, random variables, distribution and density functions, functions of random variables, joint distributions and density functions. Random processes, auto-correlation and cross-correlation, linear system response.
300

EE 564 VHDL (Hardware Description Languages)
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Design methodology using hardware programming languages specifically VHDL. Design simulation and synthesis of digital circuits with a focus on FPGA ASIC implementation.
300

EE 568 Computer Networks
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Introduction to computer networks including LAN, MAN, WAN, CAN, OSI and TCP/IP layering protocols. TCP/IP internetworking and their applications are covered. Simulation tools such as COMNET III are used to evaluate different network designs, architectures, and topologies.
300

EE 569 Networking Laboratory
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


The networking laboratory (NL)will provide students with hands-on design, setup, configure, and manage network devices and their applications. In addition, the NL will provide researchers and educators with a controlled environment to validate and evaluate their research, education, and training programs. This lab will educate undergraduate and graduate students about the fundamental design, analysis, operation, control and management of networked systems. The NL will enable students to better understand and get hands-on experiences.
000

EE 574 Pattern Recognition
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
Linear algebra, Probability and Statistics.


Representation of patterns as multi-dimensional feature vectors. Bayesian decision theory. Parameter estimation and supervised learning. Feature selection. Non-parametric techniques. Linear discriminant functions. Unsupervised learning and clustering.
300

EE 576 Direct Digital Control
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Basic theory of sampling and quantizing, z-transform analysis. System error analysis, modeling and optimal design of discrete data systems by performing indices. Stability of discrete data systems and design compensation.
300

EE 579 Embedded Systems Lab
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Students will perform advanced interfacing and development in the lab. They are taught a system design methodology based on top-down principles. A semester design/construction project provides the students with an excellent opportunity to develop strengths in embedded system design, construction, testing, and development.
100

EE 580 Computer Architecture
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
Senior standing.


The design of computational systems and circuits. Investigation of alternative structures for computers.
300

EE 584 Electromagnetic Compatibility
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 486



EMC requirements for electronic system. Signal spectra. Radiated emissions and susceptibility. Conducted emissions and susceptibility. Cross talk. Shielding. Electrostatic discharge. Noise in electronic devices. System design for EMC.
300

EE 588 Digital Signal Processing I
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 374



Introduction to discrete-time signals and systems. Sampling and reconstruction. Frequency domain analysis of signals and systems, Z-transforms. Introduction to digital filters. Experiments in processing real-world signals.
300

EE 590 Digital Signal Processing II
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 588



Multidimensional signal processing. Signal estimation, noise reduction, image restoration and enhancement and pattern recognition. DSP chip architecture, algorithms and programming. IIR and FIR filter design. Deconvolution.
300

EE 592 Image Processing
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


Basic concepts and techniques of digital image processing. Sampling and quantization. Image transforms; image enhancement, restoration and coding. Design, implementation and testing of algorithms and concepts through class projects.
300

EE 594 Advanced Topics in Electrical Engineering
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours


The special topics such as Parallel Processing, Distributed Processing, Neural Networks, etc. will be offered under this course number.
300

College of Business Administration

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College of Health Professions & McAuley School of Nursing

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School of Law

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For more information about UDM, or to apply online, go to www.udmercy.edu/apply.


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