Graduate Catalog 2007-2008
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 486 Microcontrollers
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 364



Microprocessor and microcontroller evolution, MSI components, microcontroller-based system design. Microprocessor and microcontroller organization and architecture, assembly language. Interrupts, memory, and peripheral interfacing, A/D and D/A systems.
30000

EE 487 Microcontroller Laboratory
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 486
Co-requisite: EE 486


Familiarity with microprocessor/microcontroller development and training systems: memory, I/O CPU. Assembly language. Hardware and software experiments. Microcontroller design projects involving design, prototyping and construction.
10000

EE 510 Network Security
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 568
or equivalent


This course explores the world of network security. It presents all of the practical principles, methods and technology necessary to construct an effective network defense in depth. Upon leaving this course students will be able to execute every common form of professional intrusion detection and response including pen testing, network attack/defense and host and network based IDS and policy enforcement. Students will do hands-on work in the lab with all common elements of network hardware and software.
30000

EE 520 Autonomous Mobility Robotics
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Engineering Programming, calculus and differential equations, probability, and linear algebra/matrix algebra


Autonomous Mobility Robotics is concerned with the theory and applications associated with the development of mobile robots that possess sensors and local intelligence sufficient to operate independently in constrained environments. Topics are selected from the four sub-areas of perception, localization, cognition, and motion control.
33000

EE 549 Graduate Seminar in Electrical and Computer Engineering
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Permission of Instructor


Students will work on projects related to their areas of interests. The instructor will provide a list of topics to choose from. This course should be taken by graduate students in the final year of study.
1 or 20000

EE 552 Real-Time Control Systems
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:




Fundamentals of real-time control systems simulation: plant modeling, controller design real-time simulation analysis using MATLAB/SIMULINK, and Hardware-in-the-loop (HIL) systems and applications.
30000

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 557 Vehicular Electrical Power Systems
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 358



The course will cover items like:(a) fundamentals of power electronics, (b) electrical machines (briefly), © automotive power systems, (d) electric hybrid vehicles, and fuel cell based vehicles, (e) modeling techniques for automotive electric and hybrid vehicles, (f) automotive motor drives for vehicular applications, (g) multi-converter vehicular dynamics and control.
30000

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 559 Electronics Manufacturing
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:




This course provides the student with a broad foundation in electronics manufacturing. Mainstream technologies included silicon semiconductor and FR4 circuit board manufacturing, electronics packaging, automated assembly and solder processes are examined in detail. Circuit board design methodology with a focus on design for cost optimization is stressed throughout. Electronics packaging, interconnection and thermal management are investigated. Design verification, and manufacturing hand-off conclude the course.
00000

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

Prerequisites:

MRH 427 or equivalent


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

Prerequisites:
EE 364



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

EE 565 VHDL (Hardware Description Languages) Laboratory
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Co-requisite: EE 564


Focus on VHDL for synthesis on FPGA and PSOC devices. Altera and/or Xilinx device description. Hardware projects utilizing FPGA development boards and/or stand-alone system implementations.
10000

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 Computer 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.
100

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 577 Embedded Systems
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Co-requisite: EE 579


Design of embedded systems (hardware and software); advanced topics include behavioral/subsumption programming, multitasking, real-time systems, and programming the 68HS12 in Forth, C, and assembly languages. An open-ended embedded system design project which requires consideration of alternatives, economic and aesthetic constraints, and detailed system description is compulsory.
30000

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

Prerequisites:

Co-requisite: EE 577


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:
EE 364



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 366



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 586 Advanced Microprocessors
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:
EE 486



Treatment of the architecture and organization of 16-bit and 32-bit microprocessors and microcomputers. Design of microcomputers which include dynamic memory, cache memories, interfacing, coprocessors, direct memory, access (DMA), serial and parallel processors.
30000

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. Digital filters. Implementation using digital signal processors.
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

EE 599 EE Masters Thesis
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Graduate Standing


Research, study and other activity appropriate to the Electrical Engineering masters thesis. Students should consult the Electrical Engineering Department for thesis format requirements.
1-30000

EE 799 EE Doctoral Dissertation
Credit HoursRecitation/Lecture HoursStudio HoursClinical HoursLab Hours

Prerequisites:

Permission of Department Chairperson


Research, study and other activity appropriate to the doctoral dissertation. Students should consult the Electrical Engineering Department for format requirements.
1-90000

College of Business Administration

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College of Health Professions & McAuley School of Nursing

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