Advanced Courses in Electrical and Computer Engineering

Courses Open to Graduate Students and Advanced Undergraduates

EE 466
Electromagnetics II 3 cr.
(Prerequisite: 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.

EE 470
Control Systems II 3 cr.
(Prerequisite: 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.

EE 474
Communication Theory II 3 cr.
(Prerequisite: 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.

EE 486
Microcontrollers 3 cr.
(Prerequisite: EE 364.)
Microprocessor and Microcontroller evolution, MSI components, Microcontroller-based based system design. Microprocessor and microcontroller organization and architecture, assembly language. Interrupts, memory and peripheral interfacing, A/D and D/A systems.

EE 487
Microcontroller Laboratory 1 cr.
(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.

Courses Open to Graduate Students Only

EE 554
Fuzzy System Theory & Applications 3 cr.
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.

EE 558
Advanced Electronics 3 cr.
(Prerequisite: 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, inverters, choppers, ac/dc motor speed control circuits.

E 560
Computer-Aided Design of Integrated Circuits 3 cr.
(Prerequisite: 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.

EE 562
Random Variables and Random Processes 3 cr.
(MTH 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.

EE 564
(Prerequisite: EE 364)
VHDL (Hardware Description Languages) 3 cr.
Design methodology using hardware programming languages specifically VHDL. Design simulation and synthesis of digital circuits with a focus on FPGA ASIC implementation.

EE565
VHDL: Hardware Description Languages Laboratory 1 cr.
(Co-requisite EE564)
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.

EE 568
Computer Networks 3 cr.
Introduction to computer networks including LAN, MAN, WAN, CAN, OSI and TCP/IP layering protocols. TCP/IP internetworking and their applications will be covered. Simulation tools such as Opnet will be used to evaluate different network designs, architectures, and topologies.

EE 574
Pattern Recognition 3 cr.
(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.

EE 576
Direct Digital Control 3 cr.
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.

EE577
Embedded Systems 3 cr.
(Co-requisite EE579)
Design of embedded systems (hardware & 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.

EE579
Embedded Systems Lab 1 cr.
(Co-requisite EE577)
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.

EE 580
Computer Architecture 3 cr.
(Prerequisite: EE364.)
The design of computational systems and circuits. Investigation of alternative structures for computers.

EE 584
Electromagnetic Compatibility 3 cr.
(Prerequisite: 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.

EE 588
Digital Signal Processing I 3 cr.
(Prerequisite: EE 374.)
Introduction to discrete-time signals and systems. Fourier transforms of discrete-time signals, z-transforms. Digital filters. Implemen-tation using digital signal processors.

EE 590
Digital Signal Processing II 3 cr.
(Prerequisite: 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.

EE 592
Image Processing 3 cr.
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.

EE 594
Advanced Topics in Electrical Engineering 3 cr.
The special topics such as Parallel and Distributed Processing, Ad Hoc Networking will be offered under this course number.

EE 586
Advanced Microprocessors 3 cr.
(Prerequisite: 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.

EE 569
Computer Networking Lab 1 cr.
(co-requisite: EE 568)
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. Students will be able to build and simulate CAN networks using Canoe. The NL will enable students to better understand and get hands-on experiences.

EE 510
Network Security 3 cr.
(Prerequisite: 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.

EE 557
Vehicular Electrical Power Systems 3 cr.
(Prerequisite: EE 358)
The course will cover items like: (a) fundamentals of power electronics, (b) electrical machines (briefly), (c) 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) multiconverter vehicular dynamics and control.

E552:
Sensors & Actuators 3 cr.
Study of fundamental transduction mechanisms of common sensors and actuators. Principles of data acquisition. Use of software tools for data interaction with sensors and actuators. Introduction to micro electro-mechanical systems (MEMs). A key component of this course will be laboratory exercises involving sensors and actuators.

EE 559:
Electronics Manufacturing 3 cr.
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.

EE 549 Graduate Seminar in ECE: 1 cr.
Students will work on projects related to their area 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.