Introduction to computing principles and programming practices with an emphasis on the design, construction and implementation of problem solutions use of software tools.

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

Topics include lexical analysis, parsing, interpretation of sentences, semantic representation, organization of knowledge, inference mechanisms. Newer approaches combining statistical language processing and information retrieval techniques. Credit not allowed for both CS 7650 and CS 4650.

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

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

Independent research conducted under the guidance of a faculty member.

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

"Introduces machine learning based trading strategies. Topics: Information processing, probabilistic analysis, portfolio construction, generation of market orders, KNN, random forests. Credit not awarded for both CS 4646 and CS 7646."

Group discussion of advanced topics in information and computer science. May not be used by computer science majors for degree credit.