Lectures

Lecture Schedule

Week

Day

Date

Topic (Reading)

Due

1

W

19-Jan

Welcome & Intro (ppt) (ch. 2)

F

21-Jan

Probability (ppt) (ch. 12)

2

M

24-Jan

Naïve Bayes (ppt) (20.2.1-2,23.1.1)

Quiz 1

W

26-Jan

Evaluation & Generalization (ppt) (19.1-4,23.1.4)

Proj 1(a)

F

28-Jan

Learning (ppt) (19.1-4)

3

M

31-Jan

Perceptron (ppt) (19.6.4)

MP1

W

2-Feb

Linear Regression (ppt) (19.6.1-3)

Proj 1(b)

F

4-Feb

Logistic Regression (ppt) (19.6.5,21.2.2)

4

M

7-Feb

Two-Layer Neural Net (ppt) (21.1.1)

Quiz 2

W

9-Feb

PyTorch (ppt) (Pytorch tutorial)

Proj 2(a)

F

11-Feb

Back-Propagation (ppt) (21.2.2)

5

M

14-Feb

Computer Vision (ppt) (25.3.1,25.4,21.3)

MP2

W

16-Feb

Security & Privacy (ppt) (27.3.2)

Proj 2(b)

F

18-Feb

Exam 1 Review (ppt)

6

M

21-Feb

Exam 1: AI in Episodic Environments

Exam 1

W

23-Feb

Search (ppt) (3.1-4)

F

25-Feb

A* Search (ppt) (3.5)

7

M

28-Feb

Heuristics (ppt) (3.6)

Quiz 3

W

2-Mar

Constraint Satisfaction (ppt) (ch. 6)

Proj 3(a)

F

4-Mar

Partially Observable Search (ppt) (4.4)

8

M

7-Mar

Bayesian Networks (ppt) (13.1-3)

MP3

W

9-Mar

Learning a Bayesian Network (ppt) (20.3.2-3)

Proj 3(b)

F

11-Mar

Hidden Markov Models (ppt) (14.1)

9

M

21-Mar

HMM Inference (ppt) (14.2-3)

Quiz 4

W

23-Mar

Part of Speech Tagging (ppt) (23.1.6 and JM8)

Proj 4(a)

F

25-Mar

Recurrent Neural Nets (ppt) (21.6)

10

M

28-Mar

Causal Networks (ppt) (13.5)

MP4

W

30-Mar

Fairness & Bias & Trust (27.3.3-4) (ppt)

Proj 4(b)

F

1-Apr

Exam 2 Review (ppt)

11

M

4-Apr

Exam 2: AI in Sequential Environments

Exam 2

W

6-Apr

Game Theory (ppt) (18.2.1-2)

F

8-Apr

No lecture: EOH

12

M

11-Apr

Minimax and Alpha-Beta (ppt) (5.1-3)

Quiz 5-Agent

W

13-Apr

Stochastic Games (ppt) (5.4-5)

Proj 5(a)

F

15-Apr

Markov Decision Processes (ppt) (17.1-3)

13

M

18-Apr

Model-Based RL (ppt) (22.1-2)

MP5

W

20-Apr

Model-Free RL (ppt) (22.3)

Proj 5(b)

F

22-Apr

Deep Reinforcement Learning (ppt) (22.4)

14

M

25-Apr

Actor-Critic Deep RL (ppt) (22.5)

Quiz 6

W

27-Apr

Robots (ppt) (26.1-3)

Proj 6

F

29-Apr

Configuration Space (ppt) (26.4-5)

15

M

2-May

Ethics and Autonomy (ppt) (27.3.1;5-7)

MP6

W

4-May

Final Exam Review (ppt)

16

F

13-May

Final Exam, 8:00-11:00am

Final Exam