Week | Date | Topic/Read Before Class | Notes |
1 | F, 08/28 | Introduction of class topics and structure
Introduction of students |
ch-00-01-02.pdf |
M, 08/31 | Brief overview of AI
Ch. 01: Introduction Ch. 02: Intelligent Agents Ch. 3, Sections 1 -- 4: Search, Uninformed Search -- review |
ch-03-a.pdf notes |
|
W, 09/02 |
Ch. 3, Sections 1 -- 4: Search, Uninformed Search -- review
Evaluation of uninformed search techniques |
notes |
|
F, 09/04 |
Ch. 3, Sections 1 -- 4: Search, Uninformed Search -- review
Evaluation of uninformed search techniques |
notes |
|
2 | M, 09/07 | No class: Labor Day | |
W, 09/09 | Ch. 3, Sections 1 -- 4: Search, Uninformed Search -- review
Ch. 3, Sections 5 -- 6: Informed (Heuristic) Search -- review |
ch-03-b.pdf notes |
|
F, 09/11 | Ch. 3, Sections 5 -- 6: Informed (Heuristic) Search -- review | notes | |
3 | M, 09/14 | Ch. 3, Sections 5 -- 6: Advanced Topics in Heuristic Search |
ch-03-c.pdf
notes |
W, 09/16 | Ch. 6: Constraint Satisfaction Problems |
ch-06-a.pdf
Sudoku puzzle notes |
|
F, 09/18 | Ch. 6: Constraint Satisfaction Problems
Backtracking Search (DFS) heuristics for CSPs |
notes | |
4 | M, 09/21 | Ch. 6: Constraint Satisfaction Problems
Backtracking Search (DFS) heuristics for CSPs Arc consistency Time complexity of the heuristics defined |
notes |
W, 09/23 |
Michigan Tech Fall 2020 Virtual Career Fair
Career Services Link Ch. 6: Constraint Satisfaction Problems Tree-structured constraint graphs |
notes | |
F, 09/24 | Addition to Ch. 6 - Temporal Constraint Satisfaction Problems
Interval Algebra (IA) |
ch-06-b.pdf
IA-example notes |
|
5 | M, 09/28 | Addition to Ch. 6 - Temporal Constraint Satisfaction Problems
Point Algebra (PA) Simple Temporal Networks (STNs) |
notes
STN example |
W, 09/30 | Addition to Ch. 6 - Temporal Constraint Satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSPs) |
notes | |
F, 10/02 |
Ch. 13 - Quantifying Uncertainty
Notation and probability distributions |
ch-13.pdf
worksheet notes |
|
6 | M, 10/05 |
Ch. 13 - Quantifying Uncertainty
Working with a joint probability distribution table |
worksheet
notes |
W, 10/07 |
Ch. 13 - Quantifying Uncertainty
Working with a joint probability distribution table |
worksheet
notes |
|
F, 10/09 |
Ch. 13 - Quantifying Uncertainty
Conditional probability and the chain rule Independence and conditional independence |
notes | |
7 | M, 10/12 |
Ch. 13 - Quantifying Uncertainty
Example: The Wumpus World Formula Derivation |
notes |
W, 10/14 |
Ch. 13 - Quantifying Uncertainty
Example: The Wumpus World Formula Derivation Probability Calculation |
handout
handout notes |
|
F, 10/16 | No class: Fall Break | ||
8 | M, 10/19 |
Ch. 14 - Probabilistic Reasoning
Conditional Independence |
notes |
W, 10/21 | Exam 1 review | ||
W, 10/21 | Exam 1
Time: 6:00pm - 7:30 pm Zoom proctored |
||
F, 10/23 | Ch. 14 - Probabilistic Reasoning
Section 14.1 Representing Knowledge in an Uncertain Domain Section 14.2 The Semantics of Bayesian Networks Section 14.3 Efficient Representation of Conditional Distributions |
ch14-a.pdf
notes |
|
9 | M, 10/26 | Ch. 14 - Probabilistic Reasoning
Section 14.4 Exact Inference in Bayesian Networks |
notes |
W, 10/28 | Ch. 14 - Probabilistic Reasoning
Section 14.4 Exact Inference in Bayesian Networks Section 14.5 Approximate Inference in Bayesian Networks Sampling from a BBN |
ch14-b.pdf
notes |
|
F, 10/30 | Ch. 14 - Probabilistic Reasoning
Section 14.5 Approximate Inference in Bayesian Networks Sampling from a BBN Rejection sampling Likelihood weighting |
notes | |
10 | M, 11/02 | Ch. 14 - Probabilistic Reasoning
Section 14.5 Approximate Inference in Bayesian Networks Likelihood weighting Markov Chain Monte Carlo simulation: Gibbs Sampling |
handout
notes |
W, 11/04 | Ch. 16 - Making Simple Decisions |
ch-16.pdf
notes |
|
F, 11/06 | Ch. 16 - Making Simple Decisions
Value of Information |
Oil drilling example
notes |
|
11 | M, 11/09 | IAAI Paper Presentations | |
W, 11/11 | IAAI Paper Presentations | ||
F, 11/13 | IAAI Paper Presentations | ||
12 | M, 11/16 | ||
W, 11/18 | |||
W, 11/18 | Exam 2
Time: 6:00pm - 7:30 pm Zoom proctored |
||
F, 11/20 | |||
Break | M, 11/23 | Thanksgiving recess | |
W, 11/25 | Thanksgiving recess | ||
F, 11/27 | Thanksgiving recess | ||
13 | M, 11/30 | AAAI Paper Presentations | |
W, 12/02 | AAAI Paper Presentations | ||
F, 12/04 | AAAI Paper Presentations | ||
14 | M, 12/07 | AAAI Paper Presentations | |
W, 12/09 | AAAI Paper Presentations | ||
F, 12/11 | AAAI Paper Presentations | ||
Finals | No Final Exam |