CIS 471/571
Syllabus
Fall 2011



Instructor

Art Farley, 362 Deschutes Hall, 346-3414

Class Meets

Tu,Th -- 10:00 - 11:20; 203 Condon

Office Hours

W -- 10:30-12:00, or by appointment

Course Goals

CIS-471/571 presents an introduction to basic questions, representations, and algorithms in the field of
artificial intelligence. The course is organized into units on intelligent agent architectures,
problem solving and planning, game playing, knowledge representation and reasoning,
and machine learning. We will develop or extend programs to explore some of the
concepts covered in the course.

Text

T: Artificial Intelligence: A Modern Approach, 3rd Edition, by Stuart Russel and Peter Norvig, Prentice Hall, 2010.

Course Requirements

The work in the course will consist of




Topic Schedule

Week Topic Reading
Week 1 Unit I: AI and Symbolic Agents T:Chapters 1 , 2, Chapter 2
Week 2 Unit II: Problem Solving: Paths and Plans T: Chapters 3 & 4 & 10.1-10.2
Week 3 Unit II: Problem Solving: Constraint Satisfaction T: Chapter 6 , CS
Week 4 Unit III: Game Playing T: Chapter 5
Week 5 Unit IV: Reasoning & Representation: Logical Approaches T: Chapters 7.1-7.5 , 8 & 9
Week 6 Unit IV: Reasoning & Representation: Ontologies and Uncertainty T: Chapter 12 & 13
Week 7 Unit V: Machine Learning: Structural Approaches T: Chapters 18 & 19
Week 8 Unit V: Machine Learning: Statistical Approaches T: Chapters 20.1-2
Week 9 Review, Midterm, Thanksgiving
Week 10 Unit VI: AI: The Future and Ethical Issues Chapter 26
Finals Week Projects: Thursday, 8 December, 8:00


Lectures


Course Resources


AI in the News, Fall 2011