Fall 2011: Schedule: CIS3203 and CIS 9603 Artificial Intelligence

based on books:

(AI) David Poole and Alan Mackworth, Artificial Intelligence. Foundations of Computational Agents. Cambridge University Press 2010 website

(ML) Stephen Marsland, Machine Learning: An Algorithmic Perspective.  CRC 2009

(ST) Stanford online course http://www.ai-class.com/

Dr. Longin Jan Latecki       

Chapter

Topic

Homework

Class dates

  Review of probability and statistics  

Aug 31

  Quiz1 (prerequisites), 10%   Sep 7
2 AI Agent Architectures and Hierarchical Control   Sep 14
3 AI

States and Searching

3.1, 3.2, 3.3, 3.4, 3.5

3.6: A^*,

3.7.4: Branch and Bound

3.7.6: Dynamic Programming

How to make a robot reach a target?

A^* running on my robot ppt  movie

Homework 1 due on Oct. 5

Sep 21, 22, 28, 29

4 AI Features and Constraints

Homework 2:  4.6, 4.7, 4.11
due on Oct. 12,
Recommended but not graded: 4.5

Oct. 5, 6, 12
2 ST 2. Problem Solving and Search:
Searching for Solutions, Uniformed Search, Informed (Heuristic) Search, A^*
  Oct. 13
3 ST 3. Probability in AI ch6l2, ch6l3
Bayes Rule, Bayer Network
 

Oct. 19

4 ST 4. Probabilistic Inference ch6l4, ch6l5 sumL4
Exact Inference in Bayes Network, Inference by Sampling

 

Oct. 20
5 ST 5. Machine Learning sumL5
Supervised Learning, Maximum Likelihood, Learning in Bayes Networks, Laplace Smoothing, Naive Bayes and Spam Filtering, Overfitting, Classification vs Regression, Linear Regression, Perceptron, kNN
  Oct. 26
6 ST 6. Unsupervised Learning sumL6
k-means Clustering, EM Clustering, Choosing the number of clusters, Dimensionality Reduction, PCA, Spectral Clustering
  Oct. 27
   Midterm Exam   Nov. 2

7, 8 ST

7. Representation with Logic
8. Planning sumL8

 

Nov.3

9. ST

9. Planning under Uncertainty sumL9
Markov Decision Processes (MDP) and POMDP ppt
  Nov. 9

10. ST

10. Reinforcement Learning sumL10   Nov. 10
11. ST 11. HMMs and Particle Filter sumL11
 Particle Filter Tutorial
  Nov. 16, 17

 13, 14, 15 ST

13. Games sumL13
14. Game Theory sumL14

15. Advanced Planning sumL15

 

Nov. 22

 16. ST

16. Computer Vision I sumL16

 

Nov. 30

 17. ST

17. Computer Vision II:
 3D Vision sumL17

 

Dec. 1

18. ST

18. Computer Vision III:
 Structure from Motion sumL18
 Not required for the final exam  

 

Review

 

Dec. 12, 10-12 & 1-3,  Wachman 1015D

 

Final Exam

 

Dec. 13, 4-6 pm, Wachman 447