Concepts, techniques, structures, and strategies for the implementation of interactive software. Considers the architectural and algorithmic principles behind the implementation of interactive software systems and the tools that support them. Credit not awarded for CS 6456 and CS 4470.

This course is intended for graduate students who wish to learn concepts and trends in designing and evaluating interfaces for human-computer interaction. The course will help students gain technical skills, as well as competencies in the design, analysis, and evaluation of interfaces for human-computer interaction in different domains.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Small-group or individual investigation of advanced topics with a faculty member.

Machine learning techniques and applications. Topics include foundational issues; inductive, analytical, numerical, and theoretical approaches; and real-world applications. Credit not awarded for both CS 4641 and CS 7641/CSE 6740/ISYE 6740/ECE 4252.

Final project for students completing a master's degree in the College of Computing. Repeatable for multi-semester projects.

Independent research conducted under the guidance of a faculty member.

Compiler design - front end, middle end and backend involving lexing, parsing, semantic analysis, IR code generation , and back end code generation including register optimization.

"Design and analysis of algorithms on a graduate level, including dynamic programming, divide and conquer, FFT, graph and flow algorithms, RSA, linear programming, and NP-completedness."

"AI techniques with applications to autonomous vehicles. Extensive programming exercises. Topics include probabilistic inference, Kalman/particle filters, planning/search algorithms, PID control, SLAM."

Small-group or individual investigation of advanced topics in computing. Guided study and research.