The following is a schedule of the lectures and presentations for CS 4013/5013 Artificial Intelligence for Spring 2019. This schedule will be updated throughout the semester. All readings are from Artificial Intelligence by Russell & Norvig third edition (blue book) unless otherwise noted.
| Date | Topic | Assigned Reading | Assigned | Due |
|---|---|---|---|---|
| Jan 13 (Week 1: Intro and Agent Design) | Introduction to AI | |||
| Jan 15 | Intelligent agents, Agents and environments |
Ch 2 through 2.3 | ||
| Jan 20 (Week 2: Problem formulation) | Martin Luther King day - holiday | |||
| Jan 22 | Search and problem formulation, Effective knowledge representations |
3.1-3.3 | ||
| Jan 27 (Week 3: Search) | Uninformed search (BFS, DFS, etc) | 3.4 | Project 0: setting up your account
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| Jan 29 | Informed search, Local search |
3.5 | Homework 1: Problem formulation | |
| Feb 3 (Week 4: Search) | Heuristic search, A* |
3.6 | Project 0 | |
| Feb 5 | Snow day! | 3.5,3.6 | Project 1: Intelligent search |
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| Feb 10 (Week 5: Adversaries) | A*, Constructing admissible heuristics |
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Homework 2 | Homework 1 |
| Feb 12 | Local search and search in the real world, Adversarial search | 4.1-4.5 | ||
| Feb 17 (Week 6: Adversaries) | Adversarial search, Alpha-beta pruning |
5.1-5.2, 5.3 |
Homework 2 | |
| Feb 19 | Alpha-beta pruning, Large scale games |
5.4-5.5 |
Project 1 | |
| Feb 24 (Week 7:MCTS, Learning) | Midterm 1 | |||
| Feb 26 | Introduction to learning | 18.1 | Homework 3 | |
| Mar 2 (Week 8: Learning) | Clustering, Nearest neighbor, Kernel regression | 18.6, 18.8 | ||
| Mar 4 | Evolutionary Computation/Genetic Algorithms | 4.1.4 | Project 2: Learning | Homework 3 |
| Mar 9 (Week 9: Learning) | Linear regression, logistic regression, generalized linear models |
18.6, 18.8 |
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| Mar 11 | Decision trees |
18.3 |
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| Mar 14-22 | Spring Break! |
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| Mar 23 (Week 10: Learning): ONLINE | Decision trees |
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Homework 4 | |
| Mar 25: ONLINE | Evaluating learning models, Overfitting, Model interpretation |
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| March 30 (Week 11: CSPs): ONLINE | Constraint satisfaction problems, Solving CSPs (and complex optimization) using learning |
6.1-6.5 | Homework 4 |
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| Apr 1: ONLINE | Dr McGovern out sick |
Project 2 | ||
| Apr 6 (Week 12: Planning): ONLINE | Midterm 2 review, CSPs |
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| Apr 8: ONLINE | Midterm 2 |
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| Apr 13 (Week 13: Multi-agent systems and Planning): ONLINE | Introduction to logic, Introduction to classical planning, Planning, Forward and backwards search | Ch 7, 8 Ch 10 |
Project 3: Planning, Multi-agent systems and tying it all together
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| Apr 15: ONLINE | Planning, Forward and backwards search | Ch 10 | ||
| Apr 20 (Week 14: Multi-agent systems and Planning): ONLINE | Planning and acting in the real-world, Introduction to multi-agent systems | 11 | ||
| Apr 22: ONLINE | Multi-agent systems Alpha star | 11.4 |
HW 5 EC | |
| Apr 27 (Week 15: Multi-agent systems and Planning): ONLINE | AI ethics |
Hello World book (on canvas) |
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| Apr 29 (Course wrapup): ONLINE | Final review | Project 3 | ||
| May 6: ONLINE | Final 4:30-6:30pm |
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