1 | Week | Date | Topic | Chapter |
---|---|---|---|---|
2 | Week 1 | Jan 4 | Introduction: Reasoning about Beliefs using Logic and Probability Propositional Logic | Ch.1 Ch.2 |
3 | Jan 6 | Probability Calculus and Bayesian Reasoning | Ch.3 | |
4 | Week 2 | Jan 11 | Bayesian Networks: Syntax and Semantics | Ch.4 |
5 | Jan 13 | Modeling: Applications and Techniques | Ch.5 | |
6 | Week 3 | Jan 18 | University Holiday | |
7 | Jan 20 | Inference by Variable Elimination | Ch.6, 10 (not 10.2.2 or later) | |
8 | Week 4 | Jan 25 | Inference by Factor Elimination (Jointree) | Ch.7 |
9 | Jan 27 | Compiling Bayesian Networks | Ch.12 (not 12.3.1 or later) | |
10 | Week 5 | Feb 1 | Approximate Inference by Stochastic Sampling | Ch.15 |
11 | Feb 3 | Midterm | ||
12 | Week 6 | Feb 8 | Maximum Likelihood Learning I | Ch.17 |
13 | Feb 10 | Maximum Likelihood Learning II | Ch.17 | |
14 | Week 7 | Feb 15 | University Holiday | |
15 | Feb 17 | Bayesian Learning I | Ch.18 | |
16 | Week 8 | Feb 22 | Bayesian Learning II | Ch.18 |
17 | Feb 24 | Approximate Inference by Belief Propagation I | Ch.14 | |
18 | Week 9 | Feb 29 | Approximate Inference by Belief Propagation II | Ch.14 |
19 | Mar 2 | Undirected Graphical Models | ||
20 | Week 10 | Mar 7 | Statistical Relational Learning | |
21 | Mar 9 | Review | ||
22 | Week 11 | Mar 16 | Final, Wednesday, March 16, 2016, 11:30 AM - 2:30 PM |