EE 454 Fuzzy System Theory & Applications
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 466 Electromagnetics II
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 470 Control Systems II
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 474 Communication Theory II
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 486 Microcontrollers
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 364
For international graduate students only
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. | 3 | 0 | 0 | 0 | 0 |
EE 487 Microcontroller Laboratory
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 486
International graduate students only
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. | 1 | 0 | 0 | 0 | 0 |
EE 510 Network Security
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
not to be taken by electrical engineering students
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. | 3 | 0 | 0 | 0 | 0 |
EE 520 Autonomous Mobility Robotics
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
MTH 372
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. | 3 | 3 | 0 | 0 | 0 |
EE 549 Graduate Seminar in Electrical and Computer Engineering
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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 2 | 0 | 0 | 0 | 0 |
EE 552 Real-Time Control Systems
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
E 322
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. | 3 | 0 | 0 | 0 | 0 |
EE 554 Fuzzy System Theory & Applications
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 557 Vehicular Electrical Power Systems
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 354
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. | 3 | 0 | 0 | 0 | 0 |
EE 558 Advanced Electronics
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 559 Electronics Manufacturing
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 0 | 0 | 0 | 0 | 0 |
EE 562 Random Variables and Random Processes
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 388
MTH 427
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. | 3 | 0 | 0 | | |
EE 564 VHDL (Hardware Description Languages)
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 264
Design methodology using hardware programming languages specifically VHDL. Design simulation and synthesis of digital circuits with a focus on FPGA ASIC implementation. | 3 | 0 | 0 | | |
EE 565 VHDL (Hardware Description Languages) Laboratory
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 1 | 0 | 0 | 0 | 0 |
EE 568 Computer Networks
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 264
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. | 3 | 0 | 0 | | |
EE 569 Computer Networking Laboratory
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
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. The NL will enable students to better understand and get hands-on experiences. | 1 | 0 | 0 | | |
EE 574 Pattern Recognition
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 576 Direct Digital Control
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
E 322
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. | 3 | 0 | 0 | | |
EE 577 Embedded Systems
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
Prerequisite: EE 386/486; 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. | 3 | 0 | 0 | 0 | 0 |
EE 579 Embedded Systems Lab
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 1 | 0 | 0 | | |
EE 580 Computer Architecture
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 264
The design of computational systems and circuits. Investigation of alternative structures for computers. | 3 | 0 | 0 | | |
EE 584 Electromagnetic Compatibility
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 586 Advanced Microprocessors
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 577
EE 579
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. | 3 | 0 | 0 | 0 | 0 |
EE 588 Digital Signal Processing I
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 388
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. | 3 | 0 | 0 | | |
EE 590 Digital Signal Processing II
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 3 | 0 | 0 | | |
EE 592 Image Processing
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
Prerequisites:
EE 388
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. | 3 | 0 | 0 | | |
EE 594 Advanced Topics in Electrical Engineering
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab Hours |
The special topics such as Parallel Processing, Distributed Processing, Neural Networks, etc. will be offered under this course number. | 3 | 0 | 0 | | |
EE 599 EE Masters Thesis
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 1-3 | 0 | 0 | 0 | 0 |
EE 799 EE Doctoral Dissertation
| Credit Hours | Recitation/Lecture Hours | Studio Hours | Clinical Hours | Lab 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. | 1-9 | 0 | 0 | 0 | 0 |
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