CMSC 421
Introduction to Artificial Intelligence
Fall 2003

Approximate Schedule*


This schedule shows for each class session: the topics that will be covered, the required and optional readings and any assignments that are due that day. All homework and programming assignments are due at the beginning of class. THIS SCHEDULE WILL CHANGE, PLEASE CHECK IT REGULARLY!


Session Date Topic Notes Required
Reading
Assignment
slides**
1
Sep 2
Introduction and Course Overview  
ch. 1
 
2
Sep 4
Intelligent Agents & Problem Solving  
ch. 2
3
Sep 9
Search  
ch. 3
 
4
Sep 11
Heuristic Search

 

ch. 4
 
5
Sep 16
Constraint Satisfaction Problems (CSPs)  
ch. 5
 
6
Sep 18
school closed  
 
 
 
7
Sep 23
CSPs  
 
 
 
8
Sep 25
Game Playing  
ch. 6
 
9
Sep 30
KR & Logical Agents  
ch. 7
 
11
Oct 2
Resolution & Theorem Proving  
 
 
10
Oct 7
First Order Logic (FOL)  
ch. 8
 
12
Oct 9
FOL & Theorem Proving  
ch. 9  
 
 
13
Oct 14
FOL & Theorem Proving, Planning  
 
 
 
14
Oct 16
Planning; Review  
ch. 11
 
 
15
Oct 21
Midterm
16
Oct 23
Planning
 
 
 
 
Slides (pdf, ppt) [updated 2PM 10/31]
17
Oct 28
Planning  
ch. 12
 
 
18
Oct 30
Uncertainty  
ch. 13
 
Slides (pdf, ppt)
19
Nov 4
Probabilistic Reasoning  
ch. 14
 
Slides (pdf, ppt)
20
Nov 6
Probabilistic Reasoning  
 
 
 
21
Nov 11
Probabilistic Reasoning cont.  
 
 
 
22
Nov 13
Decision Making under uncertainty  
ch. 16
 
Slides (pdf, ppt)
 
23
Nov 18
Learning  
ch. 18
 
Slides (pdf, ppt)
 
24
Nov 20
Learning  
ch. 19
 
Slides (pdf, ppt)
25
Nov 25
Learning  
ch. 20
 
Slides (pdf, ppt)
26
Nov 27
thanksgiving
27
Dec 2
Learning Guest Lecturer: Reiner Schulz
ch. 20
 
Slides (pdf)
28
Dec 4
Natural Language Processing (NLP)  
ch. 23
 
Slides from R&N (pdf)
29
Dec 9
Robotics  
ch. 25
 
Slides (pdf, ppt)
30
Dec 11
Review  
 
 
 

Monday,
Dec 15
8 - 10 am

Final
 
 

 

Key:
RN = Russell & Norvig, Artificial Intelligence: A Modern Approach
H = homework assignment
P = project

* This schedule is subject to change. There are a number of readings that will be added, and the assignment dues dates are still being tuned. Please check it periodically.

** Lecture-notes are the daily announcements/reminders for each class. The lecture content is in the file with the appropriate topic name. The course slides are based on the course notes of Jean-Claude Latombe at Stanford, Marie desJardins at UMBC, Daphne Koller at Stanford and others.

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