Lecture Materials
In previous quarters I have taught this material using an extensive set of
PowerPoint slides. You can view
the slides here, you may find them a useful addition to the textbook and
classroom discussions. This quarter I will use the whiteboard for most
lectures. Handouts and slides I do use are posted below.
Monday Sep 29 - Introduction & State Space Search
Wednesday Oct 1 - Heuristic Search
Friday Oct 3 - Implementing A*
Monday Oct 6 - Planning as State Space Search
Wednesday Oct 8 - Complexity of Planning
Friday Oct 10 - Planning in Plan Space
Monday Oct 13 - Hierarchical Planning
Wednesday Oct 15 - Introduction to Propositional Logic
Friday Oct 17 - Effective Logical Inference
Wednesday Oct 22 - Local Search and Walksat
Friday Oct 24 - Sat Applications and Resolution
Monday Oct 27 - Prolog
Wednesday Oct 29 - Prolog
Friday Oct 31 - Games I
Monday Nov 3 - Alpha-Beta Pruning, Evaluation Functions, & Chess
Wednesday Nov 5 - Midterm
Friday Nov 7 - Games of Chance
Monday Nov 10 - Probability and Bayes Law
- Slides - ExpectiMax
- Slides from R&N - Chapter 13 (Uncertainty)
- Slides from R&N - Chapter 14 (Probabilistic Reasoning, Part One)
Wednesday Nov 12 - Bayesian Networks
Friday Nov 14 - Exact Inference in Bayesian Networks
- Slides from R&N - Chapter 14 (Probabilistic Reasoning, Part Two)
Monday Nov 17 - Approximate Inference in Bayesian Networks
Wednesday Nov 19 - Introduction to Machine Learning
Friday Nov 21 - Discussion of Spam Filtering Project
Monday Nov 24 - Expectation-Maximization (EM)
Wednesday Nov 26 - Neural Nets
Monday Dec 1 - Neural Nets Continued
Wednesday Dec 3 - Decision Trees
Friday Dec 5 - Decision Trees Continued
Monday Dec 8 - A Sample of Advanced Topics in AI
Wednesday Dec 10 - Philosophical Foundations