CSC242
Fall 2018 - TR 1525-1640 - Wegmans 1400
Mon Day DOW Special Class Lecture Unit Topic AIMA Project Poole & Mackworth
8 30 R 1 0 Intro
9 4 T 2 1.1 Search Problem Solving 3.0-3.3.1 3.1-3.4
9 6 R 3 1.2 Search Strategies 3.3.2-3.6 3.5-3.6
9 11 T 4 1.3 Adversarial Search 5.0-5.2.1 11.0-11.3
9 13 R 5 1.4 Adversarial Search 2 5.3-5.4.2; 5.5-5.6; 5.7-5.9 fyi
9 18 T 6 1.5 Local Search 4.0-4.1 4.7
9 20 R 7 1.6 Local Search 2 4.3-4.4; 4.2, 4.5 fyi
9 25 T 8 Exam Project 1 due
9 27 R 9 2.1 Representation Constraint Satisfaction 6.0-6.4 4.0-4.6
10 2 T 10 2.2 Propositional Logic 7.0-7.4 5.0-5.1
10 4 R 11 2.3 Propositional Inference 7.5 5.2-5.3
10 9 T 12 2.4 First-Order Logic 8.0-8.3; 8.1.1-8.1.2 fyi 13.0-13.3
10 11 R 13 2.5 First-Order Inference 9 13.4-13.5
10 16 T Fall Break
10 18 R 14 Exam Project 2 due
10 23 T 15 3.1 Uncertainty Representing Uncertainty 13.0-13.2; 13.2.3 fyi 8.0-8.2
10 25 R 16 3.2 Uncertain Inference 13.3-13.6
10 30 T 17 3.3 Bayesian Networks 14.0-14.2, 14.4-14.4.3 8.3-8.4
11 1 R 18 3.4 Approximate Inference in Bayesian Networks 14.5; 14.7 fyi 8.6
11 6 T 19 3.5 Inference in Termporal Models 15.0-15.3 8.5
11 8 R 20 Exam Project 3 due
11 13 T 21 4.1 Learning Learning From Examples, Decision Trees 18.0-18.3, 18.4.0 7.0-7.3.1
11 15 R 22 4.2 Linear Regression and Linear Classifiers 18.6 7.3.2-7.4
11 20 T 23 TBD TBD
11 22 R Thanksgiving
11 27 T 24 4.3 Neural Networks 18.7-18.7.4 7.5
11 29 R 25 4.4 Learning Probabilistic Models 20.0-20.2.2; 20.2.5 fyi 10.3-10.3.1
12 4 T 26 4.5 Learning with Incomplete Data 20.3-20.3.4 10.3.2-10.3.3
12 6 R 27 Exam Project 4 due
12 11 T 28 TBD TBD
12 19 W Final Exam: Wednesday, December 19, 0830