CSE 471/598 Lecture Notes (Fall 2003)
Week 1: Intro; Intelligent agent design
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..
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]
Last modified: Mon Aug 21 12:28:49 MST 2006