Fall Quarter, 2000
Syllabus/Schedule:
For Fall quarter, we will miss only one class due to holiday: Thursday, Nov 23 is Thanksgiving.This schedule is subject to change, especially in the later parts of the quarter. Changes may appear here, but will always be also sent via email to all enrolled students. Handouts (listed in weeks 4 and 5) are available for purchase at the Engineering Copy Center. The ECC is in the Engineering Tower, on the plaza level, facing away from Aldrich Park.
Week |
Readings/Due dates |
Topics |
Sept 26 & 28 |
Text, chapter 1 (and optionally, chpt. 26) |
What is artificial intelligence? What are some modern examples of AI? Related fields: philosophy, psychology, mathematics, computer engineering, etc. AI from a rational agent perspective. Agent architectures and programs. |
Oct 3 & 5 |
Text, chpts 3 & 4. Skip end of section 4.1 (proofs of A* behavior).
Skip end of section 4.3, the SMA* algorithm. |
Principles of Search: Goal and problem formulation. Types
of search problems. Abstraction. |
Oct 10 & 12 |
Text, chpt 5.1 - 5.4. |
Advanced search methods: Iterative deepening A* (IDA*), constraint satisfaction
methods, Genetic algs? Simulated annealing? (Time permitting) |
Oct 17 & 19 |
Handout: Luger and Stubblefield: pp. 47-67, & 75-78. |
Logic: Propositional calculus, predicate calculus. Inference: Modus ponens,
unification, forward chaining, backward chaining. |
Oct 24 & 26 |
Handout: Luger & Stubblefield: pp. 207 - 231. |
Building knowledge-based systems (expert systems). Expert system shells.
Discussion of the CLIPS
expert system tool.
|
Oct 31 & Nov 2 |
Text, chpt 11. Skip sections 11.6 and 11.7. QUIZ #2: KR, logic
& planning, Oct 31. |
More on planning. Introduction to Uncertainty, Probability and Decision making. |
Nov 7 & 9 |
Text, chpt 18.1 - 8.3 (thru p. 540) and chpt 19.1 - 19.3. (optionally,
19.4 & 19.5) |
Deductive vs. Inductive learning, prior knowledge, performance estimation.
Decision trees. |
Nov 14 & 16 |
Text, chpt 22, only thru section 22.4 |
Finish Machine learning; Introduction to Natural language processing; syntactic parsing |
Nov 21 |
Text, chpt 23, except section 23.2 |
Speech Understanding, NL generation, NL understanding, NL Parsing. Message
understanding, discourse understanding, ambiguity. Grammars for NLP. |
Nov 28 & 30 |
QUIZ #3: Machine learning & NLP, Nov 28. |
Overview of AI; Review for final exam |
Dec 7 | Final Exam, Dec 7, 1:30pm - 3:30pm. |