| Date |
Topic |
Reading |
Out |
Due |
| August 22 |
Introduction |
Chapter 1-2 |
|
|
| August 24 |
Lisp tutorial |
lisp-lesson1.lisp |
|
|
| August 26 |
Lisp tutorial 2 + Agents |
|
Project 1 out |
|
| August 29 |
Uninformed Search |
Chapter 3 |
|
|
| August 31 |
Uninformed search 2 |
Chapter 3 |
|
|
| September 2 |
Informed search |
Chapter 4 |
Sample Problems 1 |
Sample Problems 1 Solutions |
| September 5 |
Informed search + heuristics |
Chapter 4 |
|
|
| September 7 |
Simulated annealing |
Chapter 4 |
|
|
| September 9 |
Simulated annealing 2 |
Chapter 4 |
|
Project 1 due |
| September 12 |
Constraint Satisfaction Problems |
Chapter 5 |
|
|
| September 14 |
Game playing |
Chapter 6 |
Sample Problems 2 |
Sample Problems 2 Solutions |
| September 16 |
Isolation project thoughts |
Chapter 6 |
|
|
| September 19 |
Game Playing 2 |
Chapter 6 |
Project 2 out
| |
| September 21 |
Robotics |
Guest lecture Tucker Balch |
|
|
| September 23 |
Computer Vision |
Guest lecture Jim Rehg |
|
|
| September 26 |
Genetic Algorithms |
Chapter 4.3 |
|
|
| September 28 |
Propositional Logic |
Chapter 7 |
|
|
| September 30 |
First Order Logic |
Chapter 8 |
Sample Problems 3 |
Sample Problems 3 Solution |
| October 3 |
Inference |
Chapter 9 |
|
|
| October 5 |
Inference2 |
Chapter 9 |
Sample Problems 4 |
Sample Problems 4 Solution |
| October 7 |
Representation, Reasoning, and Review |
Chapter 10 |
|
Project 2 due |
| October 10 |
Mid-term |
Chapters 1-10 |
|
|
| October 12 |
Planning |
Chapter 11 |
Sample Problems 5 |
Sample Problems 5 Solution |
| October 14 |
Planning2 (Drop Day) |
Chapter 11+12 |
Project 3 out |
Tournament submissions due |
| October 17 |
Fall Recess |
|
|
|
| October 19 |
Guest Lecture |
Chapter 12 |
|
|
| October 21 |
Partial Order Planning |
Chapter 12 |
Sample Problem 5B |
Sample Problems 5B Solution |
| October 24 |
Probability |
Chapter 13 |
|
|
| October 26 |
Probability |
Chapter 13 |
|
|
| October 28 |
Probability, Bayes's Nets |
Chapter 14 + 15 |
Sample Problems 6 |
Project 3 due
Sample Problems 6 Solution |
| October 31 |
Probability, Bayes's Nets |
Chapter 14 + 15 |
|
|
| November 2 |
Probability, Bayes's Nets |
Chapter 14 + 15 |
Project 4 out |
|
| November 4 |
Bayes's Nets, MCMC, utility functions |
Chapter 14, 16.3 |
|
|
| November 7 |
Bayes's Nets, MCMC, utility functions |
Chapter 14, 16.3 |
|
|
| November 9 |
HMM intro, generalization vs. overfitting |
class notes (Chapter 15, parts 20, parts 23) |
|
|
| November 11 |
HMMs, language recognition (speech, sign, handwriting) |
class notes (Chapter 15, parts 20, parts 23) |
|
|
| November 14 |
Neural Nets |
Chapter |
|
Project 4 due |
| November 16 |
Decision treees |
Chapter 18 |
|
|
| November 18 |
Markov Decision Processes |
|
|
|
| November 21 |
Computer Vision |
Chapter 24 |
Sample Problems 7 |
Sample Problems 7 Solution |
| November 23 |
Cross Validation, Leave-one-out training, Maximum Liklihood, MAP |
Chapter 20 |
Project 5 out |
|
| November 25 |
Thanksgiving Break |
|
|
|
| November 28 |
Maximum Liklihood, MAP |
Chapter 20 |
|
|
| November 30 |
k-NN, Minimum Description Length, PCA/LDA/ICA |
Chapter 20 |
Sample Problems 8 |
Sample Problems 8 Solution |
| December 2 |
MPD, POMDP, PCA/LDA/ICA, Mahalanobis distance, ADABoost |
Chapter 17+18, class notes |
|
|
| December 5 |
Communication + Natural Language |
Chapter 22 |
|
|
| December 7 |
Grand AI projects |
notes |
|
|
| December 9 |
Review - Last day of classes |
book |
|
Project 5 due |
| December 15 |
Final exam 8-10:50 (Thurs.) |
book + notes |
|
|