| Date |
Topic |
AIMA Textbook Reference |
Lec. 1
W 2/8 |
Introduction to AI |
Ch 1, Ch 2 |
Rec. 1
F 2/10 |
Probability Review
Probability Handout / Solutions |
13.2 - 13.5 |
Lec. 2
M 2/13 |
Logic: Propositional
Project 1: Out
AIMA Lecture Slides
|
7.1 - 7.4 |
Lec. 3
W 2/15 |
Logic: Proof and Satisfiability
AIMA Lecture Slides
|
7.5 - 7.7 |
Rec. 2
F 2/17 |
Logic
Logic Handout / Solutions |
|
Lec. 4
T 2/21
Mon Sched |
Probabilistic Inference
AIMA Lecture Slides
|
13.3 - 13.6 |
Lec. 5
W 2/22 |
Bayes Nets: Representation
Project 1: Due, Project 2: Out
AIMA Lecture Slides
|
14.1 - 14.2 |
Rec. 3
F 2/24 |
Bayes Nets
Bayes Nets Handout / Solutions |
|
Lec. 6
M 2/27 |
Bayes Nets: Independencies
Lecture Slides
Bayes Nets Practice Problems |
14.4 |
Lec. 7
W 2/29 |
Bayes Nets: Approximate Inference
Project 2A: Due
AIMA Lecture Slides
|
14.5 |
Rec. 4
F 3/2 |
Bayes Nets, Approximate Inference
Bayes Nets Handout 2 / Solutions
|
|
Lec. 8
M 3/5 |
HMMs
AIMA Lecture Slides
|
15.1 - 15.3
|
Midterm 1
W 3/7 |
MIDTERM 1 (In class)
Quiz 1 / Solutions
|
|
Rec. 5
F 3/9 |
HMMs and Search Review
HMMs and Search Review Handout
|
3.3 - 3.4 |
Lec. 9
M 3/12 |
Planning and Search
Lecture Slides
|
3.5 - 3.7, 10.1 - 10.2 |
Lec. 10
W 3/14 |
Planning and Search
Project 2B: Due, Project 3: Out
Lecture Slides
|
3.5 - 3.7, 10.1 - 10.2 |
Rec. 6
F 3/16 |
Planning and Search
Planning and Search Handout / Solutions
|
|
Lec. 11
M 3/19 |
Search: Motion planning
Lecture Slides
|
|
Lec. 12
W 3/21 |
Search: CSP
Project 3A: Due
Lecture Slides
|
6.1 - 6.6 |
Rec. 7
F 3/23 |
Motion Planning and CSPs
Motion Planning and CSPs Handout / Solutions
|
|
Break
M 3/26-3/30 |
SPRING BREAK |
|
Lec. 13
M 4/2 |
Adversarial Search
Lecture Slides
|
5.1-5.5 |
Lec. 14
W 4/4 |
MDP: Defintion
Project 3B: Due
Lecture Slides (part 1)
Lecture Slides (part 2)
|
16.1 - 16.3, 17.1 |
Rec. 8
F 4/6 |
Games & Utility
Games and Utility Handout / Solutions
|
|
Lec. 15
M 4/9 |
MDP: Solution
Lecture Slides
|
17.2 - 17.3 |
Lec. 16
W 4/11 |
Reinforcement Learning
Project 3C: Due
Lecture Slides
|
21.1 - 21.3 |
Rec. 9
F 4/13 |
MDPs
MDPs Handout / Solutions
|
|
Holiday
M 4/16 |
Patriots Day |
|
Midterm 2
W 4/18 |
MIDTERM 2 (In class)
Quiz 2 / Solutions
|
|
Rec. 10
F 4/20 |
Linear Algebra Review
Linear Algebra Handout / Solutions
|
|
Lec. 17
M 4/23 |
Learning: Intro and Decision Trees
Lecture Slides
|
18.1 - 18.4 |
Lec. 18
W 4/25 |
Learning: KNN, Naive Bayes
Project 4: Out
Lecture Slides
|
18.8.1 - 18.8.3 |
Rec. 11
F 4/13 |
Learning: Decision Trees and Naive Bayes
Decision Trees and Naive Bayes Handout / Solutions
|
|
Lec. 19
M 4/30 |
Learning: Linear classifiers
Lecture Slides
|
18.6.3 - 18.6.4 |
Lec. 20
W 5/2 |
Learning: SVM
Project 4A: Due
Lecture Slides
|
18.9 |
Rec. 12
F 5/4 |
Classification
Classification Handout / Solutions
|
|
Lec. 21
M 5/7 |
Learning: Regression
Lecture Slides
|
18.6 - 18.8 |
Lec. 22
W 5/9 |
Learning: Wrapup
Project 4B: Due
Lecture Slides
|
|
Rec. 13
F 5/11 |
Regression
Regression Handout / Solutions
|
|
Lec. 23
M 5/14 |
Guest Lecture: Prof. Tommi Jaakkola
Lecture Slides
|
|
Lec. 24
W 5/16 |
Guest Lecture: Prof. Regina Barzilay
Lecture Slides
|
|
Final
M 5/21 |
FINAL: May 21, 9AM, Ice Rink |
|
