CS 486/686 Introduction to Artificial Intelligence

Learning goals
Schedule
Date
Lecture
Quiz
Assignments
Monday, May 6
L1: Introduction to CS 486/686 and AI
Slides
Wednesday, May 8
L2: Intelligent Agents, Intro to Search
Agents Slides (Updated on Thu May 9)
Search Intro Slides (up to slide 12)
Monday, May 13
L3: Uninformed Search and Heuristic Search
Slides: Problem Formulation and Uninformed Search
Notes: Uninformed Search (Solutions)
Slides: Informed Search (ended on slide 11)
Notes: A* Search (Solutions) (Updated May 13)
Wednesday, May 15
L4: Heurisit Search and Constraint Satisfaction Problems
Slides: Informed Search (starting from slide 12)
Slides: CSP
Quiz 1 covering L1 and L2
Monday, May 20
Victoria Day. No lecture.
Tuesday, May 21
Assignment 1 posted
Wednesday, May 22
L5: Constraint Satisfaction Problems
Slides: CSP, Arc Consistency and Backtracking Search (combined 2 sets of slides)
Notes: Arc Consistency and Backtracking Search (Solutions)
Monday, May 27
L6: Local Search
Slides: Local Search (up to slide 25)
Notes: Local Search (Solutions)
Wednesday, May 29
L7: Local Search
Slides: Local Search (starting from slide 26)
Notes: Local Search (Solutions)
Quiz 2 covering L3, L4, and L5
Monday, June 3
L8: Intro to Learning, Decision Trees
Slides: Intro to Learning
Slides: Intro to Decision Trees
Notes: Decision Trees (Solutions)
Tuesday, June 4
Assignment 1 due
Wednesday, June 5
L9: Decision Trees
Slides: Constructing Decision Trees
Slides: Extending Decision Trees
Notes: Decision Trees (Solutions)
Quiz 3 covering L6 and L7
Friday, June 7
Project Proposal due
Monday, June 10
L10: Extending Decision Trees, Intro to Neural Networks
Slides: Extending Decision Trees
Notes: Decision Trees (Solutions)
Slides: A brief history of deep learning
Wednesday, June 12
L11: Neural Networks
Notes: Neural Networks (Solutions)
Slides: Learning Neural Networks
Notes: Learning Neural Networks (covered up until the middle of the back propagation algorithm)
Quiz 4 covering L8 and L9
Monday, June 17
L12: The back-propagation algorithm, Probabilities and Independence
Slides: Probabilities
Notes: Learning Neural Networks
Wednesday, June 19
L13: Probabilities and Independence
Slides: Independence
Notes: Probabilities and Independence (Solutions)
Quiz 5 covering L10 and L11
Monday, June 24
L14: Introduction to Bayesian Networks
Slides: Intro to Bayesian Networks
Notes: Constructing a Bayesian Network
Tuesday, June 25
Assignment 2 due
Wednesday, June 26
L15: Variable Elimination Algorithm
Slides: Variable Elimination Algorithm
Notes: Variable Elimination Algorithm (Solutions)
Quiz 6 covering L12 and L13
Tuesday, July 2
L16: Variable Elimination Algorithm, Hidden Markov Models
Slides: Hidden Markov Models
Wednesday, July 3
L17: Hidden Markov Models
Notes: Inference in Hidden Markov Models
Quiz 7 covering L14 and L15
Monday, July 8
L18: Statistical Learning
Notes: Statistical Learning
Wednesday, July 10
L19: Learning a Naive Bayes Model - The EM Algorithm
Notes: The EM Algorithm
Quiz 8 covering L16 and L17
Thursday, July 11
Assignment 3 due
Monday, July 15
L20: Decision Networks
Slides: Intro to Decision Networks
Notes: Decision Networks (Solutions)
Wednesday, July 17
L21: Markov Decision Process
Notes: Intro to Markov Decision Processes (Solutions)
Thursday, July 18
Project Milestone Report due
Monday, July 22
L22: The Value Iteration Algorithm
Slides: The Value Iteration Algorithm
Notes: The Value Iteration Algorithm (Solutions)
Wednesday, July 24
L23: Game Theory
Slides: Game Theory
Notes: Game Theory
Quiz 10 covering L18 and L20
Monday, July 29
L24: Game Theory
Slides: Game Theory
Notes: Game Theory (Solutions)
Tuesday, July 30
Assignment 4 due