Syllabus

After successfully completing the course, you will be able to:

• Understand theoretical and practical approaches to building intelligent systems.
• Describe and implement searching and scoring algorithms for artificial intelligence.
• Understand how artificial intelligence is used to solve real-world problems.

Course Requirements

This advanced undergraduate course will consist of:

• Midterm                         15% 
• Final exam (in class)   15%
• Projects                          30%
• Final Project                  10%
• Homework                    25%

Late Policy

Up to four late days total on homeworks and projects will be allowed.  Days cannot be subdivided between assignments and will be applied optimally at the end of the semester.

Textbook

The textbook is Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig. 3rd edition.  (2010). 

Special Needs 

Please inform me if you have a disability or other condition that might require some modification of any of these course procedures. You may speak with me after class or during office hours.  For more information, contact Students and Employee Accessibility Services at 401-863-9588 or SEAS@brown.edu.