Electrical and Computer Engineering

This is an entry-level course on wireless communications, especially we will discuss how machine learning impacts the design of wireless systems. The goal is to teach fundamental and core techniques that enable physical layer wireless communications.

This course aims to provide an instruction to basic principles and tools for the analysis and design of control systems. It is intended for general graduate students in engineering and science. Topics to be covered include concepts, examples and designs of feedback, system modeling, linear and nonlinear dynamic behaviors, stability analysis, frequency domain analysis and design, transfer functions, PID control, and robustness of control systems.

Provides a working knowledge of the analysis and design of linear automatic control systems using classical methods. Introduces state space techniques; dynamic models of mechanical, electrical, hydraulic and other systems; transfer functions; block diagrams; stability of linear systems, and Nyquist criterion; frequency response methods of feedback systems design and Bode diagram; Root locus method; System design to satisfy specifications; PID controllers; compensation using Bode plots and the root locus. Powerful software is used for system design. Cross-listed as MAE 6610. Prerequisite: ECE 3750 or instructor permission.

Studies linear dynamical systems emphasizing canonical representation and decomposition, state representation, controllability, observability, stability normal systems, state feedbacks and the decoupling problem. Representative physical examples. Cross-listed as MAE 6620. Prerequisite: APMA 6150, ECE 6851, or instructor permission.

Detailed study of graduate course material on an independent basis under the guidance of a faculty member.

Formal record of student commitment to project research under the guidance of a faculty advisor. A project report is required at the completion of each semester. May be repeated as necessary.

A guided teaching experience for Ph.D. students, with selected teaching assignments and directed performance evaluation, under the supervision of a faculty member, as a part of Ph.D. training designed for students' development of independent teaching skills.

A second level graduate course covering a topic not normally covered in the graduate course offerings. Topics usually reflect new developments in electrical and computer engineering and are based on student and faculty interests. Prerequisite: Instructor permission.

An in-depth treatment of digital communications techniques and performance. Topics include performance of uncoded systems such as Mary, PSK, FSK, and multi-level signaling; orthogonal and bi-orthogonal codes; block and convolutional coding with algebraic and maximum likelihood decoding; burst correcting codes; efficiency and bandwidth; synchronization for carrier reference and bit timing; baseband signaling techniques; intersymbol interference; and equalization. Prerequisite: ECE 6711.

Detailed study of graduate course material on an independent basis under the guidance of a faculty member.

For master's students.

Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.

For doctoral students.

Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.