COSC 505: Artificial Intelligence

Fall 2004

Primary Texts:

Schedule

Week 
Topic 
Chapters 
     
Week 1  Introduction: What is AI?
1
Week 2  Symbolic Programming and Lisp
 
Week 3  Symbolic Programming and Lisp
 
Week 4  Blind Search: Depth-First, Breadth-First
3.1-3.5
Week 5  Informed Search: Hill-Climbing, Best-First, Genetic Algorithms
4.1-4.3,
Week 6  Admissible Search: Branch-and-Bound, A*; Game Playing
4.1, 6.1-6.3
Week 7  Logic: Propsitional, Resolution
7.3-7.5
Week 8  Logic: Predicate, Unification, First-Order Resolution, Midterm Exam
9
Week 9  Learning: Decision Trees, Ensemble Methods
18.1-18.4
Week 10 Learning: Neural Networks, Perceptron, Back-propagation
20.5
Week 11 Perception: Binary and Grayscale Vision
24
Week 12 Perception: Smoothing, Edge Detection
24
Week 13 Perception: 3D Information, Object Recognition
24
Week 14 Uncertainty: Bayesian Inference Networks
13, 14.1-14.3
Week 15   Uncertainty: Utility Theory; Philosophical Issues in AI
16.2, 26


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