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This course provides academic credit for independent Ph.D. thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.

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Seminar presentations on oral and written technical communication skills needed by electrical and computer engineering professionals. Credit for this course may not be used toward the master's degree in ECE.

Introduction to methods used in the real-time operation and control of power systems as well as to the hardware and software technology of energy management systems (EMS). Credit will not be awarded for both ECE 6320 and ECEP 6301.

This course provides an introduction to convex optimization, covering the mathematical fundamentals of convex analysis and duality theory, algorithms, and modelling of practical applications.

Introduction to random signals and processes with emphasis on applications in ECE. Includes basic estimation theory, linear prediction, and statistical modeling.

Course covers a number of programming techniques for distributed and parallel computing and other advanced methods, such as multiprecision arithmetic and nonblocking I/O. Credit not awarded for ECE 4122 and ECE 6122.