ITEC 480: Artificial Intelligence
Prerequisites: ITEC 122 and ITEC 324
Credit Hours: (3)
An introduction to the study of intelligence as computation
Detailed Description of Content of Course
1. Artificial Intelligence (AI): its roots and scope
2. The predicate calculus
3. Structures and strategies for state space search
4. Heuristic search
5. Architectures for AI problem solving
6. PROLOG in AI
7. Introduction to AI representational schemes
8. Rule-based, case-based, and model-based systems
9. Building an expert system in PROLOG
10. Reasoning in situations of uncertainty
11. Advanced AI applications and review
Detailed Description of Conduct of Course
Course material is primarily covered in lecture and in the student's reading of both the course text and additional material. Students also implement several projects to deepen their understanding of the problems associated with AI and their solutions. The projects normally are implemented in a language that the instructor deems appropriate. This language is typically studied in a section of ITEC 398 that is taught concurrently with ITEC 480. Currently this language is Prolog.
Goals and Objectives of the Course
Students who complete the course will be able to:
1. Demonstrate an ability to understand and apply AI technology along with its deep roots in the philosophical, mathematical, and computational traditions.
2. Effectively use selected AI applications and design and implement PROLOG programs.
3. Explain and apply AI algorithms and techniques in their rightful place within modern computer science.
4. Describe modern AI practices.
Graded assignments include at least one in-class exam, a final exam, and several projects.
Other Course Information
Review and Approval
May 12, 1994 Reviewed for 1994-95 Edward G. Okie,Chair
Oct. 30, 1996 Prerequisite change Edward G. Okie,Chair
Sept. 25, 2001 Updated John P. Helm, Chair
Revised: June 1, 2012