Course Syllabus Cs 469

Course Syllabus CS 469 (467) Special Topics in Artificial Intelligence Instructor: Sukree Sinthupinyo Office Hour: Monday 10:00-12:00, Wednesday 11:00-12:30 Week # 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Title Introduction to our course, Logic Programming (1) Logic Programming (2) Logic Programming (3) Introduction to Machine Learning, Supervised Learning Bayesian Decision Theory Parametric Methods Clustering Decision Tree Linear Discrimination Neural Network Local Models Hidden Markov Models Reinforcement Learning Genetic Algorithm Data Mining

Grading: Midterm: Final: Homework = 30: 40: 30 F: [0, 40) D, D+: [40, 50) C~: 50~ Website: Please update the information on http://ideacstu.blogspot.com References: [1] T.M. Mitchell. Machine learning. McGraw-Hill, 1997. [2] E.Alpaydin. Introduction to Machine Learning. MIT Press, 2004. [3] I.H.Witten. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Morgan Kaufmann, 2005.