CMSC421: Introduction to Artificial Intelligence

Fall 2011 

Schedule (subject to change; in particular, midterm, assignment out and due dates are tentative)

Date Topic Required
Reading
Notes
Out
Due Slides
Sep 1
Introduction and Course Overview
ch 1
H0: turn in at end of class, Solutions; P0: Sep 8
Sep 6
Agents and Search
ch 3.1-4 (2e: ch 3)
Sep 22
Sep 8
Heuristic Search
ch 3.5-6 (2e: ch 4.1-3)
   
Sep 13
Constraint Satisfaction Problems (CSPs)
ch 6.1 (2e: ch 5.1)
 
Sep 15
CSPs and Constraint Propagation II
ch 6.3-5 (2e: ch 5.2-4) 
W1: Search and CSPs Sep 29
Sep 20
Game Playing & Adversarial Search
ch 5.2-5 (2e: ch 6.2-5)
 
 
 
Sep 22
Game Playing & Adversarial Search II
ch 5.2-5 (2e: ch 6.2-5)
 
Oct 6
Sep 27
Utility Theory
ch 16.1-3
 
 
Sep 29
Markov Decision Processes (MDPs) Sutton and Barto Ch. 3-4
 
Oct 13
2PP, 6PP
Oct 4
MDPs II
ch 17.1-3
 
 
Oct 6
MDP III
Oct 20
Oct 11
Reinforcement Learning I Sutton and Barto Ch. 6.1,2,5
 
2PP, 6PP
Oct 13
Reinforcement Learning II
 

 

 
Oct 18
Probability ch 13.1-5 (2e: ch13.1-6)
 
2PP, 6PP
Oct 20
REVIEW  
 
Oct 25
MIDTERM
Oct 27
 Bayes' Nets I
ch. 14.1-2,4, ch. 14.3
 
 
Nov 1
Bayes' Nets II
ch 14.4-5, ch 14.4-5
Nov 10
Nov 3
Bayes' Nets III
 
 
Nov 8
HMMs I
ch15.1-2
 
2PP, 6PP
Nov 10
HMMs II
ch15.3
Nov 22
2PP, 6PP, Probability rules: 2PP, 6PP
Nov 15
Decision Diagrams
ch16.5
2PP, 6PP
Nov 17
Learning I
ch 18.1-18.3
    2PP, 6PP, Exercise Solution
Nov 22
Learning II
ch 20.1-20.2.4
W4: Decision Diagrams, HMMs and Learning Dec 6
 2PP, 6PP
Nov 24
THANKSGIVING -- Happy Turkey Day!
Nov 29
Learning III
ch 18.6.3, 18.7
Dec 12
 2PP, 6PP
Dec 1
Learning IV
ch 18.7-18.8.2
 
 
2PP, 6PP
Dec 6
Finish Learning IV & Hands On P5
 
Dec 8
Final Review
 
Dec 13
Wrap-up
 
2PP, 6PP
Dec 21
FINAL (Wednesday, Dec 21 10:30am-12:30pm -- NOTE THIS IS THE LAST DAY OF FINALS, PLEASE MAKE TRAVEL PLANS ACCORDINGLY)