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Additional Course Descriptions 2008-2009

CS 525D Data Visualization (Fall 08)

Instructor: M. Ward

This course presents the fundamental concepts and techniques for effective presentation of numeric data in an interactive graphical form.  Topics to be covered include human visual perception, the structure and characteristics of data, techniques for mapping data to graphical entities and attributes, interactive tools for exploratory visual data analysis, and techniques for evaluating the quality of visualizations.  Students will be expected to implement a number of visualization algorithms as well as do projects involving the use of commercial and public-domain visualization tools.  (Prerequisite: a graduate or undergraduate course in computer graphics.)

CS 525P Intelligent Pedagogical Agents (Spring 09)

Instructor: N. Heffernan (This course has been replaced by CS 525E)

 

CS 525E Empirical Method for Artificial Intelligence (Spring 09)

Instructors: N. Heffernan & J. Beck

This course will focus on research design and evaluation techniques for computer scientists. It will enable you to properly conduct studies and interesting experiments. Some background in AI is a plus. See instructor if you have not taken AI please. The text will be Paul Cohen's text: Empirical Methods for Artificial Intelligence. The class is Tue & Friday 12-1:20 in SL 123.

CS 525U Intelligent User Interfaces (Spring 09)

Instructor: C. Rich

We have exhausted the potential of current WIMP (windows, icons, menus and pointer) interfaces to make computational systems easier for people to use. This course will focus on the application of techniques from artificial intelligence, such as knowledge representation, machine learning, planning and natural language processing, to create intelligent user interfaces that learn, teach and adapt to the user. Topics studied will include programming by example, social recommender systems, collaborative interfaces, affective (emotion) computing and human-robot interaction. The course will include reading of current research papers and an implementation project. (Prequisites: CS 4341 and CS 3041, equivalent graduate courses, or familiarity with basic techniques in artificial intelligence and human-computer interaction.)

 

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Last modified: January 14, 2009 17:25:51