hajim urcs
Computer Science @ Rochester

CSC242: Introduction to Artificial Intelligence
Spring 2013

Syllabus

This syllabus is subject to change! Check back often!

DOW Mon Day Special Theme Topic AIMA Project
Thu Jan 17 Introduction Introduction 1
Tue 22 Search Problem Solving 3.0-3.3.1
Thu 24 Search Strategies 3.3.2-3.6
Tue 29 Project #1 #1: Game-Playing
Thu 31 Local Search 4.0-4.1
Tue Feb 5 Adversarial Search 5.0-5.2.2
Thu 7 Adversarial Search 2 5.3-5.4.2 #1 Due Mon Feb 11
Tue 12 Stochastic and Partially Observable Games 5.5-5.6; 5.7-5.9 fyi
Thu 14 Representation Constraint Satisfaction 6.0-6.4
Tue 19 Propositional Logic 7.0-7.4 #2: Reasoning
Thu 21 Propositional Inference 7.50
Tue 26 First-Order Logic 8.0-8.3; 8.1.1-8.1.2 fyi
Thu 28 First-Order Inference 9 #2 Due Mon Mar 4
Tue Mar 5 Midterm Review
Thu 7 MIDTERM BL106
Tue 12 Spring break
Thu 14 Spring break
Tue 19 Uncertainty Probabilistic Reasoning 13.0-13.2; 13.2.3 fyi
Thu 21 Probabilistic Inference 13.3-13.6 #3: Uncertainty
Tue 26 Bayesian Networks 14.0-14.2
Thu 28 Inference in Bayesian Networks 14.4-14.4.1, 14.5; 14.7 fyi
Tue Apr 2 Uncertainty Over Time 15.0-15.3
Thu 4 Decision Making 16.0-16.1; 16.2-16.3, 16.5 fyi; 17.0-17.1; 17.2-17.3, 17.5 fyi #3 Due Fri Apr 5
Tue 9 Learning Learning From Examples 18.0-18.4 #4: Learning
Thu 11 Learning Methods 18.6; 18.7-18.9 fyi
Tue 16 Learning Probabilistic Models 20.0-20.2.2; 20.2.5 fyi; 20.3-20.3.4
Thu 18 Reinforcement Learning 21.0-21.3; 21.5 fyi #4 Due Fri Apr 19
Tue 23 Posters 1
Thu 25 Posters 2
Tue 30 Final Review
Fri May 10 16:00 FINAL EXAM BL106

Last update: Tuesday, 08-Jan-2013 14:14:49 EST