Computer Science 242

Artifical Intelligence

Spring 2024

Instructor: Dan Gildea office hours Tu/Th 11-12pm, 3019 Wegmans

TAs:

  • Shikhar Srivastava
  • Emma Buller ebuller@u
  • Dominic Musumeci dmusumec@u
  • Zhechao Zhao zzhao46@u
  • Siddharth Narsipur snarsipu@u
  • Jaclyn Dron jdron@u
  • Dylan McKellips dmckelli@u
  • Peter Nie jnie7@u

Location: Tu/Th 9:40-10:55am, Wegmans 1400

Prereqs: Data structures and algorithms.

Study sessions:

  • Wegmans 2215 Mondays 4:00pm-5:00pm
  • Wegmans 3307 Tuesdays 4:00pm-5:00pm
  • Wegmans 2215 Wednesdays 11:00am-12:00pm
  • Wegmans 2215 Wednesdays 4:00pm-5:00pm
  • Wegmans 2215 Thursdays 4:00pm-5:00pm

Projects

Required text: Stuart Russell and Peter Norvig, Artificial Intelligence, A Modern Approach, 4th ed. (2020).

If you want to add the class, complete the first project, and then email it to gildea@cs along with a note including your year and major.

Syllabus

DateTopicReading
1/18 Problem Solving 3.0-3.3.3
1/23 Search Strategies 3.3.4-3.6.1
1/25 Adversarial Search 5.0-5.2.1
1/30 Adversarial Search 2 5.3-5.3.2; 5.5-5.6; 5.7
2/1 Local Search 4.0-4.1
2/6 Local Search 2 4.3-4.4; 4.2, 4.5
2/8 Midterm 1
2/13 Constraint Satisfaction 6.0-6.5
2/15 Propositional Logic 7.0-7.4
2/20 Propositional Theorem Proving 7.5
2/22 First Order Logic 8.0-8.3
2/27 First Order Theorem Proving 9
2/29 no class
3/5 Midterm 2
3/7 midterm solutions
3/19 Representing Uncertainty 12.0-12.2; 12.2.3
3/21 Uncertain Inference 12.3-12.7
3/26 Bayesian Networks 13.0-13.2.1; 13.3-.3
3/28 no class
4/2 Approximate Inference in Bayesian Networks 13.4; 13.5
4/4 Inference in Temporal Models 14.0-14.2; 14.3
4/9 review / problem solving
4/11 Learning From Examples, Decision Trees 19.0-19.3, 19.4.0
4/16 Linear Regression and Linear Classifiers 19.6, logistic regression
4/18 Neural networks 21.0-21.2, 21.4, 21.5.3, 21.6.1, 24.4.1
4/23 Learning Probabilistic Models 20.0-20.2.2; 20.2.7
4/25 Learning with Incomplete Data 20.3.0, 20.3.4
4/30 Review
Final Exam: Wednesday, May 8, 4-7 p.m, 1400 Wegmans.

Grading

  • Homeworks: 40%
  • Midterms: 25%
  • Final: 35%

gildea @ cs rochester edu
May 8, 2024