CS 660 - Special Topics in Artificial Intelligence

Bulletin Description

Advanced topics in artificial intelligence. Specific topics may include but are not limited to: knowledge representation, expert systems and knowledge acquisition, intelligent agents, constraint satisfaction, problem solving and planning, machine learning and inductive logic programming, deductive databases and logic programming, natural language understanding and processing.

Prerequisites

CS 660 or consent of instructor.

Expected Preparation

Strong foundation in logic and artificial intelligence. Other required skills will depend on a specific topic chosen for the course.

Student Learning Outcomes

Mastery of main notions discussed in the course. Familiarity with the current literature in the topic area. Strong preparation for doing independent research work in the topic area. Familiarity with research conducted by the faculty instructor.

Syllabus Information

Week by Week Course Outline:

Will depend on the topic and will be announced by the faculty instructor as early as possible but at least one month before. A significant portion of the course should be devoted to a study and discussion of recent research papers in the area of the topic.

Examinations and Grading:

Exact details about examinations and grading in this course will be determined by the instructor offering the course. Details will be made available in the syllabus at the start of each semester in which the course is offered.

Possible Textbooks:

Research monographs, research papers provided by the faculty instructor, other notes prepared by the faculty instructor.