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CS 540 - Introduction to Artificial Intelligence
Section 1
Spring 2013
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CS 540 Syllabus
| Week | Starting | Topics | Readings |
| 1 | 1/23 | Introduction, intelligent agents, captchas, problem solving as search | Chapters 1 and 2 |
| 2 | 1/28 | Uninformed search | 3.1 - 3.4 |
| 3 | 2/4 | Informed (heuristic) search | 3.5, 3.6 |
| 4 | 2/11 | Local search:
Hill-climbing, simulated annealing, genetic algorithms | 4.1 |
| 5 | 2/18 | Game playing, constraint satisfaction | 5.1 - 5.3, 6.1 - 6.3 |
| 6 | 2/25 | Machine learning: Neural networks, support vector machines | Intro to machine learning, 18.1, 18.2, 18.6.3, 18.6.4, 18.7, 18.9, SVM paper |
| 7 | 3/4 | Machine learning: Decision trees | 18.3 - 18.4 |
| 8 | 3/11 | Midterm Exam, Probabilistic reasoning: Uncertainty | 13 |
| 9 | 3/18 | Probabilistic reasoning: Bayesian networks | 14.1, 14.2, 14.4, Bayes net paper |
| 3/25 | SPRING BREAK |
| 10 | 4/1 | Bayesian networks | |
| 11 | 4/8 | Speech recognition | 15.1 - 15.3, 23.5, HMM tutorial |
| 12 | 4/15 | Computer vision |
18.10 |
| 13 | 4/22 | Logical reasoning: Propositional logic | 7.1, 7.3 - 7.5 |
| 14 | 4/29 | Logical reasoning: First-order logic | 8.1 - 8.3 |
| 15 | 5/6 | Logical reasoning | |
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