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| Date | Topics | Artificial Intelligence | Additional Readings | Assignment Due in Class | Slides |
|---|---|---|---|---|---|
| January 7 | What is AI? Intelligence? | Chapter 1 and 2 | Brooks, Turing, Sections 1-5 | 1, 1.pdf | |
| January 14 | Search and Game Play | Chapter 3,4 and 6 | 2, 2.pdf | ||
| January 21 | Resource Management Constraint Satisfaction | Chapter 5 | Search and Games | 3, 3.pdf | |
| January 28 | Information Retrieval Nearest Neighbor | Chapter 20.4 | Vector Space, Jurafsky and Martin, p.646-660, PageRank, Hubs and Authorities | Constraints and Genes | 4, 4.pdf |
| February 4 | Learning: Perceptrons Neural Networks | Chapter 20.5 | Nearest Neighbor and IR | 5, 5.pdf | |
| February 11 | Midterm Exam Decision Trees | Chapter 18 | Solutions | 6, 6.pdf | |
| February 18 | Medical Reasoning Managing Uncertainty | Chapter 13,14 | Szolovits | Decision Trees: c4.5 | 7, 7.pdf |
| February 25 | Speech Processing | Bayesian Inference | 8a, 8.pdf | ||
| March 3 | Image Processing | Chapter 24 | Viola and Jones | Spoken Language Models | 9, 9.pdf |
| March 10 | Robotics: Search Subsumption and Roomba | 10, 10.pdf | |||
| March 17 | Final Exam TBD | Optional Homework | Bayes Nets Practice Bayes Nets Solutions DT and NN practice DT and NN Solutions |