Introduction to Artificial Intelligence

**Meets:** Mondays, Wednesdays, Fridays 3:05-3:55pm in Howey L3

**Instructor: **Prof. Mark Riedl (riedl@cc.gatech.edu)

Office hours: Thursdays: 2:30-4:30pm, TSRB 234

Home | Schedule | Projects | Grading | Resources | Piazza |

- Project 0: Introduction to Python (0% of grade)
**[No due date]** - Project 1: Search (10% of grade)
**[Due Feb. 9, 2014, 11:55pm]** - Project 2: Constraint Satisfaction Problems (10% of grade)
**[Due March 9, 2014, 11:55pm]** - Project 3: Dynamic Bayesian Networks (10% of grade)
**[Due April 6, 2014, 11:55pm]** - Project 4: Neural Network Learning (10% of grade)
**[Due April 27, 2014, 11:55pm]** - Alternative Project 4: Machine Learning Game Competition (10% of grade)
**[Due April 25, 2014, 3:00pm]**(This project can be chosen insteead of the regular project 4. Doing this project enters you into a competition. Note the different deadline--projects will be demoed live from 4-5pm on April 25th, 2014.)

**Codebases for each project can be downloaded from T-square.**

- Missionaries and cannibals (problem | solution)
- Search (problem | solution)
- Search 2 (problem | solution)
- Game of set (CSP) (problem | solution)
- Constraint satisfaction (problem | solution)
- Minimax (problem | solution)
- Expectiminimax (problem | solution)
- Bayes net inference (problem | solution)
- Bayes net inference 2 (problem | solution)
- Markov decision process (problem | solution)
- MDP Value iteration problem from class (problem | solution)
- Decision tree learning (problem | solution)