Doctor of Philosophy in Electrical and Computer Engineering

0402700

Advanced Statistics

(3-0:3)

Topics include hypothesis testing, statistical inference, single and multiple linear regression, logistic regression, parametric and non-parametric statistical tests.

0402701

Advanced Numerical Analysis

(3-0:3)

Initial-value problems for ordinary differential equations. Approximation theory. Numerical solutions of nonlinear systems of equations. Boundary-value problem solution for ordinary differential equations. Numerical solutions to partial differential equations. Engineering applications.

1502702

Advanced Modeling and Simulation

(3-0:3)

This course provides an in-depth exploration of advanced concepts and techniques in simulation and modeling. Topics include foundational principles, such as the classification of systems, physical and mathematical modeling, and the complete modeling and simulation process. Students will delve into discrete event simulation, continuous system modeling, statistical models, and Monte Carlo methods, gaining hands-on experience with pseudo-random number generation and random variate generation. Advanced subjects like modeling complex adaptive systems, queueing systems with Markov processes, and optimization via simulation are also covered.

0402710

Advanced Topics in Control and Automation

(3-0:3)

This course covers the tools and methods for modeling and control systems. The focus will be on system modeling via Lagrange methods, state-space representation, controllability, and observability, controller design using state feedback, pole placement, stability existence, and characterization using the direct Lyapunov method, controller design using the direct Lyapunov method, and basic facts on stochastic systems.

0402711

Advanced Topics in Non-linear Control

(3-0:3)

This course covers the tools and methods for nonlinear control systems. The focus will be on advanced analysis of uncertain nonlinear systems, stabilization of nonlinear systems. Design methodologies for complex interconnected nonlinear systems. Adaptive back-stepping and control-Lyapunov function techniques. Applications of nonlinear and adaptive control design to aerospace and robotic systems.

0402712

Advanced Topics in Power Systems

(3-0:3)

The major focus of this course is to train graduate students for developing research projects related to power system operation, control, and dynamics through lecturing or group projects. Students will study and analyze power system dynamics for active and reactive power flow, frequency and voltage control, voltage and angle stability, power system oscillations. Students will study the transmission system and distribution system control using different controllers including different versions of controllers starting from passive controllers to nonlinear controllers. Students also will learn about advanced power system applications such as distributed generation systems, microgrids, and smart grids. Students are required to use Simulink or other tools for simulation aspects for the projects.

0402713

Advanced Topics in Electric Machines

(3-0:3)

Advanced dynamic modeling and parameters identification of electric machines. New application areas of electric machines, modeling of dynamic loads. Advanced control strategies of electric drive systems, Digital implementation issues of drive systems. Model parameters and uncertainty issues.

0402714

Advanced Power Electronics Applications

(3-0:3)

The major focus of this course is to train graduate students in developing research ability related to the operations of advanced power electronics converters and their modeling, advanced modulations, and control dynamics through lecturing or group projects. The performance of the advanced controllers on the power converter will be discussed for different applications. The necessary concepts are widely reviewed, and a complete model in the Matlab-Simulink environment is developed for obtaining simulation results.

0402715

Advanced Topics in Autonomous Robotics

(3-0:3)

This course covers the tools and methods for kinematics and dynamics and analysis and control for robots. The focus will be on open-chain articulated manipulators, but other types of mechanisms will also be covered, including closed chain manipulators such as multi-fingered hands and parallel robots and nonholonomic systems such as wheeled robots. The emphasis of the course will be on developing a systematic, analytical understanding of the basic principles in the analysis and control of robotic systems.

0402720

Special Topics in Communications

(3-0:3)

Advanced and emerging topics are selected from the area of communications. Contents of the course will be provided one semester before it is offered.

0402721

Information Theory and Coding

(3-0:3)

Entropy and Information, Information Channels, Source Coding, Data compression Algorithm, Channel Coding, Error-Correcting Codes, Block and Cyclic codes, BCH, Reed-Solomon, Golay, and Fire codes. The algebraic decoding algorithms. Convolutional codes, encoding, and decoding algorithms are given—principles of interleaving and concatenation, The principles of Turbo Codes.

0402722

Radiation and Propagation of EM Waves

(3-0:3)

EM radiation principles, polarization, antenna characteristics, dipole, horn and microstrip antennas, antenna arrays, scattering by objects, computational methods, EM wave propagation, waveguides, and optical fibers.

0402730

Advanced Signal Processing

(3-0:3)

Parametric signal modeling. Spectral estimation. Multirate processing of digital signals. Efficient Fourier transform and convolution algorithms. Fundamentals of adaptive signal processing. Short-time Fourier transform. Two-dimensional signal processing. Some advanced topics in filter design.

0402740

Advanced Analog Electronics

(3-0:3)

The course serves as an advanced course for electronics students in analog electronic circuits analysis, design, and simulation. The course will focus on delivering important knowledge about the different models of MOS and BJT transistors and the limits of operations of analog circuits, including noise, distortion, and coupling effects. The course will pass quickly on elementary building circuits like amplifiers, current mirrors, cascade circuits, and op-amp basics to make sure our Ph.D. students digested the operation of these circuits. Then, the course will cover advanced analog circuits like Rail to rail input and output amplifiers, low noise amplifiers, continuous-time filters essentials, and single transistor crystal oscillators in addition to the CMOS ADC and DAC Principles.

0402741

Advanced Digital Electronics

(3-0:3)

VLSI design process; Static and dynamic design; CMOS transistor resistance and capacitance modeling; high-speed gate design, transistor sizing, and logical effort, skewed and symmetric gates; on-chip interconnect types and modeling techniques, cross-talk; sequential logic design and clocking methods, memory and cash design; low power design; design for Manufacturability; design for Testability.

0403750

Cyber Security and Privacy

(3-0:3)

The objective of this course is to expose students to cutting-edge research topics in information security and its applications.

0403751

Artificial Intelligence

(3-0:3)

Topics include fuzzy logic, neural networks, neuro-fuzzy, genetic algorithm, and particle swarm algorithm.

0403751

Special Topics in Software Applications

(3-0:3)

This course covers cutting-edge and advanced topics in software applications. The contents will vary depending on the topic when the course is offered.

0403760

Advanced Multicore Architectures

(3-0:3)

The primary objective of this course is to present a broad overview of current research topics and interesting developments in the field of computer architecture. In this course, we will mostly read and discuss recent key papers from top computer architecture articles encompassing a variety of topics. The course will be based on advanced topics regarding multicore hardware: core design, Homogeneous vs. heterogeneous cores, memory systems, cache coherence protocols, interconnection networks and Network On a Chip (NOC), and parallel algorithms. In addition to performance, the issues of power, energy, temperature, reliability, and resiliency in the face of process variations in multicore environments are discussed.

0403761

Advanced Topics in Embedded Systems

(3-0:3)

Topics include hardware/software embedded systems design using Processing system (PS) and Programming Logic (PL) of modern FPGA boards.

0403770

Special Topics in Communication Networks

(3-0:3)

This course covers cutting-edge and advanced topics in communication networks. The contents will vary depending on the theme chosen at every offering of the course.

0403771

Communication Networks Design and Performance

(3-0:3)

The course focuses on modeling and analyzing communication networks, network protocols and applications, using mathematical tools. Topics include queuing models, network delay analysis, optimal routing, capacity planning, and topology design.

0402780

Contemporary Topics in Electrical Engineering

(3-0:3)

This course covers emerging and advanced topics in the field of Electrical Engineering. The contents will vary depending on the topic.

0402781

Contemporary Topics in Computer Engineering

(3-0:3)

This course covers emerging and advanced topics in the field of Computer Engineering. The contents will vary depending on the topic.