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SOUTHEAST MISSOURI STATE UNIVERSITY DEPARTMENT OF Computer Science COURSE NO. CS490 TITLE OF COURSE Artificial Intelligence REVISION 03/2002 I. CATALOG DESCRIPTION AND CREDIT HOURS OF COURSE: CS490 ARTIFICIAL INTELLIGENCE An introduction to Artificial Intelligence with Lisp and Prolog , covering fundamental constructs and algorithms, knowledge representations and advanced topics. Prerequisite(s): CS350 Data Structures and Algorithms (4). II. PREREQUISITE(S): CS350 Data Structures and Algorithms. III PURPOSE OR OBJECTIVE OF THE COURSE: Students will learn: A. the fundamental concepts, constructs and algorithms used in A.I. B. LISP and PROLOG Programming. C. the fundamentals of knowledge representation. IV. EXPECTATIONS OF STUDENTS: Students are expected apply their previous course work to the study of Artificial Intelligence and to be professional in their learning and work in this course. V. COURSE CONTENT OR OUTLINE Because of the nature of the course material, the main topics will be interleaved. The following outline gives the approximate number of class periods devoted to the main categories and topics of the course. A. Introduction to Artificial Intelligence - intelligent agents Lecture 2 Lab CS490 Artificial Intelligence Page 2 VI. B. Problem Solving Problem spaces Matching Heuristics 3 C. Searching 9 D. LISP or Scheme Programming 6 12 E. PROLOG Programming 6 12 F. Knowledge Representation 9 G. Robotics 6 4 E. Other /Advanced Topics (Expert Systems, Natural Language Understanding Perception, Learning, more topics on Knowledge Representation) 2 2 H. Midterms 2 TEXTBOOK(S) AND OTHER REQUIRED MATERIALS OR EQUIPMENT A. Class textbooks: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norwig, Prentice Hall, Inc, 1995 B. Other references: Artificial Intelligence (2ed) by Elaine Rich & Kevin Knight, McGraw-Hill, 1991. LEGO MINDSTORMS Robots, Jonathon Knutsen, O’Reilly, 1999 The Computer Modelling of Mathematical Reasoning by Alan Bundy, Academic Press, 1983 Expert Systems: Principles and Programming, (3ed) Giarratano and Riley, PWS Publishing, 1998 VII. BASIS OF STUDENT EVALUATION (percentages may vary): A. Assignments, labs, Projects 45% B Midterm(s), tests 25% C Participation 5% CS490 Artificial Intelligence Page 3 D Final Examination 25%