| Week | Date | Topic/Read Before Class | Slides | Assignment | Collect |
| 1 | M, 01/11 |
Course overview, go over the syllabus
Brief introduction to AI and intelligent agents Ch. 18, Section 7: Neural Networks Introduction |
ch01-ch02-intro.pdf
ch18-06-07.pdf |
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| W, 01/13 |
Ch. 18, Section 7: Neural Networks (cont'd)
Univariate linear regression |
lecture notes |
hw1: neural networks
assigned (pdf file) |
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| F, 01/15 |
Ch. 18, Section 7: Neural Networks (cont'd)
Perceptron training |
lecture notes
training-sequence training spreadsheet |
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| 2 | M, 01/18 | no class -- Martin Luther King, Jr. Day recess | |||
| W, 01/20 |
Ch. 18, Section 7: Neural Networks (cont'd)
Back propagation learning |
nn-algorithm.pdf
nn-example.pdf lecture notes |
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| F, 01/22 | Ch. 3, Sections 1 -- 4: Search, Uninformed Search |
ch03-a.pdf
lecture notes |
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| 3 | M, 01/25 |
Homework 1 clarification
Ch. 3, Sections 1 -- 4: Search, Uninformed Search (cont'd) |
hw 1 notes | ||
| W, 01/27 |
Homework 1 clarification
Ch. 3, Sections 1 -- 4: Search, Uninformed Search (cont'd) |
hw 1 and search notes | Homework 1 interim report is due | ||
| F, 01/29 | Ch. 3, Sections 1 -- 4: Search, Uninformed Search (cont'd) | ||||
| 4 | M, 02/01 | no class -- Conference | |||
| W, 02/03 | no class -- Conference | Homework 1 XOR network is due | |||
| F, 02/05 | no class -- Winter Carnival | ||||
| 5 | M, 02/08 | Ch. 3, Sections 1 -- 4: Search, Uninformed Search (cont'd) | |||
| W, 02/10 | Ch. 3, Sections 5 -- 6: Informed (Heuristic) Search | ch03-b.pdf |
Homework 2 : search (assigned)
(pdf file) |
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| F, 02/12 | Ch. 3, Sections 5 -- 6: Informed (Heuristic) Search (cont'd) | Homework 1 x2 network is due | |||
| 6 | M, 02/15 |
Ch. 4, Section 1: Local Search Algorithms and Optimization Problems
(Note: the MTU Career Fair is tomorrow, on Tuesday, 2/16.) |
ch04.pdf | ||
| W, 02/17 | Ch. 4, Section 1: Local Search Algorithms and Optimization Problems (cont'd) | ||||
| F, 02/19 |
Ch. 4, Section 1: Local Search Algorithms and Optimization Problems
(cont'd)
Evolutionary Algorithms (Genetic Algorithms and Differential Evolution) |
ch04-evol.pdf | Homework 2 (search) is due | ||
| 7 | M, 02/22 | Ch. 5: Adversarial Search | ch05.pdf | ||
| W, 02/24 | Ch. 5: Adversarial Search (cont'd) |
ch05-examples.pdf
Article about Go game |
hw3: alpha-beta pruning | ||
| F, 02/26 | Ch. 18, Section 3: Learning Decision Trees | ch18-03.pdf | |||
| 8 | M, 02/29 | ||||
| W, 03/02 |
Ch. 19, Section 1: Knowledge in Learning Version space learning |
ch19-01.pdf | hw4: decision trees
( pdf file ) |
Homework 3 (α-β pruning) is due | |
| F, 03/04 | no class | ||||
| -- | M, 03/07 | no class -- Spring recess | |||
| W, 03/09 | no class -- Spring recess | ||||
| F, 03/11 | no class -- Spring recess | ||||
| 9 | M, 03/14 | ||||
| W, 03/16 | |||||
| F, 03/18 | Exam 1
Time: 4:00pm-5:30pm Location: Fisher 131 Sections covered: TBA |
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| 10 | M, 03/21 |
Ch. 18, supplemental Clustering |
clustering.pdf | ||
| W, 03/23 | |||||
| F, 03/25 | Ch. 07 - Logical Agents |
part1.pdf
part2.pdf | hw5: Version Spaces | Homework 4 (decision trees) is due | |
| 11 | M, 03/28 | ||||
| W, 03/30 | Homework 5 (version spaces) is due | ||||
| F, 04/01 |
Ch. 08 - First-Order Logic
Ch. 09 - Inference in First-Order Logic |
ch08.pdf
ch09.pdf |
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| 12 | M, 04/04 | ||||
| W, 04/06 | Ch. 12, Section 6: Dealing with default information | ch12-06.pdf | Homework 6 (logic) is due | ||
| F, 04/08 |
Ch. 13: Quantifying uncertainty
Probabilistic reasoning |
ch13.pdf | |||
| 13 | M, 04/11 | ||||
| W, 04/13 | Homework 7 (uncertainty) is due | ||||
| F, 04/15 | |||||
| 14 | M, 04/18 | Exam 2
Time: 4:00pm-5:30pm Location: Fisher 131 Sections covered: TBA |
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| W, 04/20 | |||||
| F, 04/22 |