Class

Date

Topic / Link to Slides

Homework

Comments/ Handouts

1

1/27

Intro



2

1/29

Agents



3

2/3

Problem Solving as Search (Covered breadth first, depth first, uniform cost serach, bidirectional search, and iterative deepening search. For more info, see your textbook)


Old Slides

4

2/5

Uninformed Search (Covered A*, Greedy, A)

Project 1 Out


5 
2/10 
Local Search (Hill climbing, gradient ascent, particle swarm optimization, simulated annealing, genetic algorithm)

Homework 1 Out: Russel and Norvig 3.14, 3.15, 3.26(ae only), 4.1

Old Slides

6

2/12

Game Playing (Minimax, Alphabeta, Execptaminimax)
 
Old Slides 
7

2/17

SNOW DAY
 Project 1 Due, Homework 1 Due 
Multiagent pathfinding, Bee Colonly Paper 
8

2/19

Constraint Satisfaction
 

9

2/24

Constraint Satisfaction
 Project 2 Out 

10

2/26

Game Theory
 

11

3/3

Cancelled
 

12

3/5

Midterm
 

13

3/10

Probability Review



14

3/12

Bayes Nets 


15

3/24

Machine Learning 

ML Slides part 1,ML Slides part 2 
16

3/26

Machine Learning 


17

3/31

Cancelled 


18

4/2

Machine Learning 


19

4/7

Logic

Project 3 out, Project 4 out 

20

4/9

Logical Inference 

Logic Slides 
21

4/14

Logical Inference


Inference 
22

4/16

Social Networks 


23

4/21

Reinforcement Learning 
Homework 2


24

4/23

Reinforcement Learning 


25

4/28

Reinforcement Learning 

RL 
26

4/30

TBA 


27

5/5

TBA 


28

5/7

TBA 


29

5/12

Review 

Final exam 
