Instructor:
Ted Pawlicki office hours on instructor website.
This course is fully online and fully asychronous. Recorded lectures are posted on Blackboard. Reading is manditory. Not everything in the book is covered in lecture. Not everything covered in lecture is in the book. You are responsible for both.
Prereqs: Data structures and algorithms.
Homework Projects . These have strict deadlines.
Required text: Stuart Russell and Peter Norvig, Artificial Intelligence, A Modern Approach, 4th ed. (2020).
Syllabus
The lectures are recorded and posted on Blackboard. The dates are approximate. Since the course is asychronous there is flexibility in when you view the lectures. Exams are on specific days.
Date | Topic | Reading |
5/19 |
Problem Solving |
3.0-3.3.3 |
5/21 |
Search Strategies |
3.3.4-3.6.1 |
5/24 |
Adversarial Search |
5.0-5.2.1 |
5/26 |
Adversarial Search 2 |
5.3-5.3.2; 5.5-5.6; 5.7 |
5/29 |
Local Search |
4.0-4.1 |
5/31 |
Local Search 2 |
4.3-4.4; 4.2, 4.5 |
6/1 |
Homework 1 Due |
|
6/4 |
Constraint Satisfaction |
6.0-6.5 |
6/7 |
Propositional Logic |
7.0-7.4 |
6/10 |
Propositional Theorem Proving |
7.5 |
6/13 |
First Order Logic |
8.0-8.3 |
6/15 |
Homework 2 Due |
|
6/18 |
First Order Theorem Proving |
9 |
6/20 |
Midterm 1 |
|
6/23 |
midterm solutions |
|
6/25 |
Representing Uncertainty |
12.0-12.2; 12.2.3 |
6/28 |
Uncertain Inference |
12.3-12.7 |
6/29 |
Homework 3 Due |
|
6/30 |
Bayesian Networks |
13.0-13.2.1; 13.3-.3 |
7/2 |
Approximate Inference in Bayesian Networks |
13.4; 13.5 |
7/4 |
Inference in Temporal Models |
14.0-14.2; 14.3 |
7/6 |
Homework 4 Due |
|
7/8 |
Learning From Examples, Decision Trees |
19.0-19.3, 19.4.0 |
7/11 |
Midterm 2 |
|
7/14 |
midterm solutions |
|
7/17 |
Linear Regression and Linear Classifiers |
19.6, logistic regression |
7/20 |
Homework 5 Due |
|
7/24 |
Neural networks |
21.0-21.2, 21.4, 21.5.3, 21.6.1, 24.4.1 |
7/27 |
Learning Probabilistic Models |
20.0-20.2.2; 20.2.7 |
7/30 |
Learning with Incomplete Data |
20.3.0, 20.3.4 |
8/1 |
Final Exam |
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Grading
- Homeworks: 40%
- Midterms: 25%
- Final: 35%
pawlicki @ cs rochester edu
May 10, 2025
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