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Spring 2015 Syllabus

This syllabus is subject to change. Note that unreleased project out and due dates are just guesses and will likely change somewhat.

Day Topic Optional Reading Slides Video Assignment Due
Tu 1/20 Introduction to AI Ch. 1 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
Math Self-Diagnostic
P0: Tutorial
(ungraded)
F 1/23 5pm
Th 1/22 Agents and Search Ch. 3.1-4 (2e: Ch. 3) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW1 (section) M 2/2 11:59pm

Tu 1/27 A* Search and Heuristics Ch. 3.5-6 (2e: Ch. 4.1-2) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
P1: Search
Contest 1: Search
F 2/6 5pm
Su 2/8 11:59pm
Th 1/29 Constraint Satisfaction Problems Ch. 6.1 (2e: Ch. 5.1) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW2 (section) M 2/9 11:59pm

Tu 2/3 CSPs II Ch. 6.2-5 (2e: Ch. 5.2-4) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   
Th 2/5 Game Trees: Minimax Ch. 5.2-5 (2e: Ch. 6.2-5) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW3 (section / exam-prep) Tu 2/17 11:59pm

Tu 2/10 Game Trees: Expectimax; Utilities Ch. 5.2-5 (2e: Ch. 6.2-5) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
P2: Multi-Agent Search
Contest 2: Multi-Agent Search
F 2/20 5pm
Su 2/22 11:59pm
Th 2/12 Markov Decision Processes Ch. 16.1-3 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW4 (section / exam-prep) M 2/23 11:59pm

Tu 2/17 Markov Decision Processes II Sutton and Barto Ch. 3-4 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   
Th 2/19 Reinforcement Learning Ch. 17.1-3, S&B Ch. 6.1,2,5 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW5 (section / exam-prep) M 3/2 11:59pm

Tu 2/24 Reinforcement Learning II   1PP · 2PP
4PP · 6PP
PPT
Live
Edited
P3: Reinforcement Learning F 3/6 5pm
Th 2/26 Probability Ch. 13.1-5 (2e: Ch. 13.1-6) 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
Practice Midterm (solutions) Sa 3/7 11:59pm

Tu 3/3 Bayes' Nets: Representation Ch. 14.1-2,4 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
(section / exam-prep)  
Th 3/5 Bayes' Nets: Independence Ch. 14.1-2,4 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   

M 3/9 MIDTERM 1 (6:00-9:00pm)
(no lecture)
      HW6
P4: Bayes Nets
Tu 3/17 11:59pm
F 3/20 5pm
Th 3/12 Bayes' Nets: Inference Ch. 14.3, Jordan 2.1 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   

Tu 3/17 Bayes' Nets: Sampling Ch. 14.4-5 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW7 (section / exam-prep) Tu 3/31 11:59pm
Th 3/19 Decision Networks / VPI Ch. 15.1-3, 6 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   

Tu 3/24 Spring Break          
Th 3/26 Spring Break          

Tu 3/31 Hidden Markov Models Ch. 15.2,5 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW8 (section / exam-prep)
P5: Ghostbusters
M 4/6 11:59pm
F 4/10 5pm
Th 4/2 Particle Filtering and Applications of HMMs Ch. 15.2,6 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
   

Tu 4/7 ML: Naive Bayes Ch. 15.2,6 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
HW9 (section / exam-prep) M 4/13 11:59pm
Th 4/9 ML: Perceptrons Ch. 15.2,6 1PP · 2PP
4PP · 6PP
PPT
Live
Edited
Practice Midterm 2 (solutions) Sa 4/18 11:59pm

Tu 4/14 ML: Kernels and Clustering Ch. 15.2,6 1PP · 2PP
4PP · 6PP
PPT
Live (section / exam-prep)  
Th 4/16 ML: Neural Networks and Decision Trees   1PP · 2PP
4PP · 6PP
PPT
Live    

M 4/20 MIDTERM 2 (6:00-9:00pm)
(no lecture)
      Contest: Pacman Capture the Flag Tu 4/28 11:59pm
Th 4/23 Robotics / Language / Vision   1PP · 2PP
4PP · 6PP
PPT
Live    

Tu 4/28 Robotics / Language / Vision   1PP · 2PP
4PP · 6PP
PPT
Live P6: Classification
(section / exam-prep)
F 5/8 5pm
Th 4/30 Advanced Topics and Final Contest   1PP · 2PP
4PP · 6PP
PPT
  Practice Final (solutions) Sa 5/9 11:59pm

W 5/13 FINAL EXAM (11:30am-2:30pm)