Syllabus
|
Topic
|
Readings | Assignments | ||
| F, Aug. 31 | What is AI? | Introduction to AI | ||
| T, Sep 4 | Agency and Agents | Introduction to AI | ||
| F, Sep 7 | Uninformed Search Techniques | Chapter 3 Slides | ||
| T, Sep 11 | Programming Allen's Interval Algebra | Allen (1983) | Problem #1 | |
| F, Sep 14 | Informed Search and A* | Chapter 4 Slides | ||
| T, Sep 18 | Constraint Satisfaction Problems | Chapter 5 Slides , and more | ||
| F, Sep 21 | Logic I | Chapter 7 Slides | ||
| T, Sep 25 | First Order Logic | Basic PL and Formal Principles | ||
| F, Sep 28 | Natural Deduction | Natural Deduction in PL and FOL | ||
| T, Oct 2 | Inference and Resolution in Logic | Resolution in FOL | ||
| F, Oct 5 | Unification | Resolution Strategies | ||
| T, Oct 9 | No Class, Brandeis Thursday | |||
| F, Oct 12 | Modal Logic and Review for Exam | Midterm Exam Themes | ||
| T, Oct 16 | MIDTERM | Midterm Exam | ||
| F, Oct 19 | Uncertainty + Probabilistic Reasoning | Chapter 13 Slides | Problem Set #2 | |
| T, Oct 23 | Probabilistic Reasoning II | Chapter 14 Slides | ||
| F, Oct 26 | Learning Theory I | Lecture Slides | Extra Credit for Midterm Exam | |
| T, Oct 30 | Bayesian Inference | Lecture Notes | ||
| F, Nov 2 | Decision Tree Learning: Anna Rumshisky | Decision Tree Slides | ||
| T, Nov 6 | Language I | Natural Language Slides | Problem Set #3 Handed out | |
| F, Nov 9 | Language II | POS-tagging and n-grams | ||
| T, Nov 13 | Guest Lecture: Pengyu Hong | Clustering | ||
| F, Nov 16 | Probabilistic Models for Language | |||
| T, Nov 20 | Information Retrieval | IR Slides | ||
| F, Nov 23 | No Class - Thanksgiving Break | |||
| T, Nov 27 | Guest Lecture: Jordan Pollack | Games and Game Theory | Adversarial Search: Problem Set #4 Handed out | |
| F, Nov. 30 | Guest Lecture: Peter Cariani | Meaning, purpose and epistemic autonomy in evolvable machines | Evolutionary Semiotics | |
| T, Dec 4 | Review/Catchup | |||
| T, Dec 7 | FINAL EXAM | Extra Credit Problems |