Syllabus | Schedule | FAQ | Assignments | My home page |
Section 01: | Monday 04:00 PM - 05:15 PM, Wednesday 04:00 PM - 05:15 PM | Class Number: 7261 for CS 470, 7262 for CS 670 |
McCormick 2nd floor M2-213 (a better classroom) McCormack M02-0415 |
Weeks | Meetings | Topic | Readings & Handouts | Examples & Web Resources |
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1. | Sept. 8, no class, Labor Day (Holiday) | |||
Sept. 9 | Course Administration | |||
2. | Sept. 14 | Introduction to Weka | Slides: Introduction to Weka | |
Sept. 16 | Introduction to AI |
Ch 1 Slide: Introduction to AI |
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3. | Sept. 21 | Solving Problem by Searching |
Ch 3.1 ~ Ch 3.3 Slides: Solving Problem by Searching |
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Sept. 23 | Uninformed Search Strategies |
Ch 3.4 ~ Ch 3.5 Slides: Uninformed Search Strategies |
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4. | Sept. 28 | Uninformed Search Strategies (continued) | ||
Sept. 30 | Uninformed Search Strategies (continued) Informed Search and Exploration |
Ch 4 Slides: Informed Search and Exploration Part I |
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5. | Oct. 5 | Informed Search and Exploration (continued) | ||
Oct. 7 | Informed Search and Exploration
(continued) Pre-Exam Review |
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6. | Oct. 12, no class, Columbus Day (Holiday) | |||
Oct. 14 | Examination | The Official US Time | ||
7. | Oct. 19 | Informed Search and Exploration (continued) | Slides: Informed Search and Exploration Part II | |
Oct. 21 | Informed Search and Exploration (continued) | Slides: Informed Search and Exploration Part III | ||
8. | Oct. 26 | Adversarial Search |
Ch 6 Slides: Adversarial Search |
In-Class Exercises |
Oct. 28 (extended session 2:50 - 5:15 PM) | Examination Review Adversarial Search (continued) Probabilistic Reasoning & Statistical Learning Models |
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9. | Nov. 2 | Probabilistic Reasoning & Statistical Learning Models (continued) |
Ch 13 ~ Ch 14, Ch 20.2 |
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Nov. 4 | Probabilistic Reasoning & Statistical Learning Models (continued) |
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10. | Nov. 9 | No class (make-up class on Oct 28) | ||
Nov. 11, no class, Veterans Day (Holiday) | ||||
11. | Nov. 16 | The Semantic Web and Description Logics | Guest Lecture: Dr. Xindong Wu | |
Nov. 18 | Probabilistic Reasoning & Statistical Learning Models (continued) | |||
12. | Nov. 23 | Classification: Basic Concepts | ||
Nov. 25 | Classification: Basic Concepts (continued) | |||
13. | Nov. 30 | Classification: Basic Concepts (continued) | ||
Dec. 2 | Classification: Nearest-Neighbor Classifiers | |||
14. | Dec. 7 | Classification: Decision Trees | ||
Dec. 9 | Classification: Ensemble Methods | |||
15. | Dec. 14 | Classification: Ensemble Methods (continued) | ||
Dec. 16 | Class Wrap-up |
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