| Week # | Monday | Wednesday | Friday |
| 1 | Sept 28: (no classes yet) | Sept 30: Lecture (in EEB 045). Course introduction, definition of intelligence, Turing Test. Assignment 1 (Symbol manipulation in Python) given out. | Oct 2: Lab (in MGH 030). Introduction to Python; interaction; function definition and calling; lists; |
| 2 | Oct 5: Lecture (in EEB 045). Python functions; recursive functions on lists; lambda expressions; mapping; string operations. Example: Sequence prediction. | Oct 7: Lecture (in EEB 045). State-space search: Introduction. Assignment 1 due; Assignment 2 (State-space search) given out. | Oct 9: Lab (in MGH 030). Game playing. |
| 3 | Oct 12: Lecture (in EEB 045). State-space search: Theory and algorithms. | Oct 14: Lecture (in EEB 045). State-space search: Posing problems for state-space search. | Oct 16: Lab (in MGH 030). Interactive State-Space Search. Assignment 2 due. Assignment 3 (Game playing) given out. |
| 4 | Oct 19: Lecture (in EEB 045). State-space search (conclusion). | Oct 21: Quiz (in EEB 045) on state-space search | Oct 23: Lecture (in EEB 045). Follow-up to the quiz. |
| 5 | Oct 26: Class interrupted by fire alarm. Assignment 3 due. Assignment 4 (Logical reasoning) given out. | Oct 28: Lecture (in EEB 045). Knowledge representation with ISA hierarchies. | Oct 30: Lecture (in EEB 045). Propositional logic, modus ponens, perfect induction, and resolution. |
| 6 | Nov 2: Lecture (in EEB 045). Predicate logic. Definitions. Horn-clause resolution and unification. | Nov 4: Lecture (in EEB 045). Predicate logic, continued. Logical encoding. Assignment 4 due. | Nov 6: Lecture (in EEB 045). Interpretations, models, satisfiability. |
| 7 | Nov 9: Lecture (in EEB 045). Logic programming and expert systems using Horn clause resolution in PROLOG. | Nov 11: Veterans Day Holiday (no class) | Nov 13: Lecture (in EEB 045). Probabilistic inference with Bayes' rule. Bayes' networks. |
| 8 | Nov 16: Midterm exam (in EEB 045) | Nov 18: Project planning (in EEB 045) | Nov 20: Lab (in MGH 030). Experiments in image understanding. |
| 9 | Nov 23: Lecture (in EEB 045). Information about project options: the Bayes Net Toolkit, CoSolve. | Nov 25: Lecture (in EEB 045). Image understanding: sampling and quantization, histograms, thresholding, edge detection, segmentation into regions; morphology. | Nov 27: Day after Thanksgiving: no class |
| 10 | Nov 30: Lecture (in EEB 045). Image understanding: the Hough transform, scene labeling, pattern recognition with perceptrons. Assignment 5 given out (Probabilistic reasoning and image understanding). | Dec 2: Lecture (in EEB 045). Neural networks and machine learning: perceptron training and backpropagation. | Dec 4: Lecture (in EEB 045). Natural language understanding I: context-free grammars and parsing. Semantic grammars and Semantics: Case frames. |
| 10 | Dec 7 Lecture (in EEB 045). Big issues and the future of AI: common sense, ontologies, dangers of AI, Asimov's rules of robotics, hopes for AI. Assignment 5 due. | Dec 9: Lab (in MGH 030). Presentations and Demos. | Dec 11: Lab (in MGH 030). Demos |
| Dec 16 (Wednesday): Final Exam, 2:30-4:20 PM. |