CSE 471/598 Lecture Notes (Fall 2003)

• Week 1: Intro; Intelligent agent design nifty 2001

• Week 2: Agent architectures. Problem Solving Agents,Uninformed Search

• Week 3: Informed Search. A*, IDA*, inventing heuristics

• Week 4: Local Search; MDPs begin

• Week 5: MDPs, Games/Adversarial Search (begin)

• Week 6: Games/Adversarial Search; RTA*; Using DP to get heuristics; Start of Planning

• Week 7: Planning

• Week 8: Knowledge Representation. Entailment. Inference. Prop logic.

• Week 9: Midterm + SAT.

• Week 10: DPLL+CSP; FOPC start.

• Week 11: FOPC--Writing sentences; Herbrand bases etc; Genaralized modus ponens and backward chaining.

• Week 12: (one class) Resolution Theorem Proving. Uncertainty start

• Week 13: Discrete variable probabilistic reasoning; Bayes Nets

• Week 14: Inference with Bayes Nets (monte carlo methods); Learning start

• Week 15: Learning: Sample complexity; Bias-Variance tradeoffs, Decision Trees, Neural Nets

• Week 16: Learning: Multi-layer nets; Bayes net learning. Interactive Review
  • Adieu with Oscar Schindler schtick..

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• Lisp recitation..
  • Dribble file from the lisp recitation 1
  • Dribble file from the lisp recitation 2
  • The flow chart of the lisp evaluator
• Slides from Sreelakshmi's project 1 recitation [Sep 19, 2003]
• Slides from Sreelakshmi's project 3 recitation [Oct 28, 2003]