Skip to main content

Fall 2013 Syllabus

This syllabus is subject to change. In particular, the midterm dates will not be finalized until a week or so into the course.

Note that unreleased project out and due dates are just guesses and will likely change somewhat.

Day Topic Optional Reading Slides Video Assignment Due
Th 8/29 Introduction to AI Ch. 1 1PP · 2PP
4PP · 6PP
Live
Edited
P0: Tutorial 9/6 5pm

Tu 9/3 Agents and Search Ch. 3.1-4 (2e: Ch. 3) 1PP · 2PP
4PP · 6PP
Live
Edited
HW1 (section 0 / solutions)
(section 1 / solutions)
9/11
Th 9/5 A* Search and Heuristics Ch. 3.5-6 (2e: Ch. 4.1-2) 1PP · 2PP
4PP · 6PP
Live
Edited
P1: Search 9/13 5pm

Tu 9/10 Constraint Satisfaction Problems Ch. 6.1 (2e: Ch. 5.1) 1PP · 2PP
4PP · 6PP
Live
Edited
HW2 (section 2 / solutions) 9/18
Th 9/12 CSPs II Ch. 6.2-5 (2e: Ch. 5.2-4) 1PP · 2PP
4PP · 6PP
Live
Edited
   

Tu 9/17 Game Trees: Minimax Ch. 5.2-5 (2e: Ch. 6.2-5) 1PP · 2PP
4PP · 6PP
Live
Edited
HW3 (section / solutions) 9/25
Th 9/19 Game Trees: Expectimax; Utilities Ch. 5.2-5 (2e: Ch. 6.2-5) 1PP · 2PP
4PP · 6PP
Live
Edited
P2: Multi-Agent Pacman 9/27 5pm

Tu 9/24 Markov Decision Processes Ch. 16.1-3 1PP · 2PP
4PP · 6PP
Live
Edited
HW4 (section / solutions) 10/2
Th 9/26 Markov Decision Processes II Sutton and Barto Ch. 3-4 1PP · 2PP
4PP · 6PP
Live
Edited
   

Tu 10/1 Reinforcement Learning Ch. 17.1-3, S&B Ch. 6.1,2,5 1PP · 2PP
4PP · 6PP
Live
Edited
HW5 (section / solutions) 10/9
Th 10/3 Reinforcement Learning II   1PP · 2PP
4PP · 6PP
Live
Edited
P3: Reinforcement Learning 10/11 11:59pm

Tu 10/8 Probability Ch. 13.1-5 (2e: Ch. 13.1-6) 1PP · 2PP
4PP · 6PP
Live Practice Midterm (solutions) 10/12
Th 10/10 Bayes' Nets: Representation Ch. 14.1-2,4 1PP · 2PP
4PP · 6PP
Live    

M 10/14 MIDTERM 1 (6:00-9:00pm)
(no lecture)
      HW6 (section / solutions) 10/23
Th 10/17 Bayes' Nets: Independence Ch. 14.1-2,4 1PP · 2PP
4PP · 6PP
Live    

Tu 10/22 Bayes' Nets: Inference Ch. 14.3, Jordan 2.1 1PP · 2PP
4PP · 6PP
Live HW7 (section / solutions) 10/30
Th 10/24 Bayes' Nets: Sampling Ch. 14.4-5 1PP · 2PP
4PP · 6PP
Live    

Tu 10/29 Decision Diagrams / VPI Ch. 15.1-3, 6 1PP · 2PP
4PP · 6PP
Live HW8 (section / solutions) 11/6
Th 10/31 HMMs: Filtering Ch. 15.2,5 1PP · 2PP
4PP · 6PP
Live P4: Ghostbusters 11/15 5pm

Tu 11/5 HMMs: Wrap-up / Speech Ch. 15.2,6 1PP · 2PP
4PP · 6PP
Live    
Th 11/7 ML: Naive Bayes Ch. 15.2,6 1PP · 2PP
4PP · 6PP
Live    

Tu 11/12 ML: Perceptrons (Part 1) Ch. 15.2,6 1PP · 2PP
4PP · 6PP
Live HW9 (section / solutions) 11/20
          Practice Midterm 2 ( solutions ) 11/22
Th 11/14 ML: Kernels and Clustering Ch. 15.2,6 1PP · 2PP
4PP · 6PP
Live Contest: Pacman Capture the Flag 12/3

Tu 11/19 ML: Neural Networks and Decision Trees   1PP · 2PP
4PP · 6PP
Live    
Th 11/21 Robotics / Language / Vision   1PP · 2PP
4PP · 6PP
Live    

M 11/25 MIDTERM 2 (6:00-9:00pm)
(no lecture)
      P5: Classification 12/13 5pm
Th 11/28 No Class -- Happy Thanksgiving !

Tu 12/3 Robotics / Language / Vision   1PP · 2PP
4PP · 6PP
Live    
Th 12/5 Advanced Topics and Final Contest   1PP · 2PP
4PP · 6PP
  Practice Final ( solutions ) 12/14

F 12/20 FINAL EXAM (8-11am)