Artificial Intelligence Courses at UMaine
Artificial Intelligence Courses at UMaine

(Last modified 15:08 - Mon Aug 4, 2003)

Introduction to Artificial Intelligence (COS 470/570).
This senior-level/graduate-level is the beginning course for AI offered at UMaine. Junior-level students often take this course, even without the prerequisite (COS 350); see the professor for more information. Entering Ph.D. students should sign up for this course as COS 570; see the professor for more information.

Multiagent Systems (COS 570).
This topics course covers multiagent systems (MAS) and distributed AI. It is often run as a research seminar in which the entire class works together on a publishable (or publishable-quality) paper.

Natural Language Processing (COS 570).
This course is often taught as a research seminar in which the entire class works together on a publishable (or publishable-quality) paper. For example, in the Spring 1999 semester, the class wrote a paper (``Aspects of context for understanding multi-modal communication''; E.H. Turner, R.M. Turner, J. Phelps, C. Grunden, M. Neale, and J. Mailman) that appeared in the Second International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'99).

Topics in AI (COS 570).
COS 570 is the course number currently used for most graduate AI courses; this will change in the future. For now, however, a COS 570 course will almost always be offered in the Spring semester. Sometimes it will be one of the two above, and other times it will be other advanced topics in AI.

COS 598 - Introduction to Expert Systems.
This course has only been taught once. It could be taught again if there is sufficient student interest.