CS480 Artificial Intelligence

Course Description

Introduction to computational methods for intelligent control of autonomous agents, and the use of programming paradigms that support development of flexible and reactive systems. These include heuristic search, knowledge representation, constraint satisfaction, probabilistic reasoning, decision-theoretic control, and sensor interpretation. Particular focus will be placed on real-world application of the material. Prerequisites: CS 331 or CS 401 or CS 403.

Course Topics

The following is a tentative and partial list of topics that will be covered in the class:

Artificial intelligence overview
Problem solving - search and constraint satisfaction
Knowledge representation - propositional logic, first-order logic, uncertainty representation
Reasoning - Inference with logic and probabilities
Learning - learning from examples, reinforcement learning

Course Information

Time: Mon - Wed 1:50 - 3:05pm
Location: Wishnick Hall 115
Professor: Mustafa Bilgic
Office: Stuart 228C
Email: mbilgic AT iit.edu
Office Hours: Wed 11am - 12pm (Other times by appointment)

Prerequisites

(CS331 or CS401 or CS403) and MATH474. If you are i) a transfer undergraduate student or ii) a graduate student, and if you think you have the prerequisite but the system doesn't let you register, please contact me.

Course Format and Grading

In my course, the slides often serve only as a guide; I use the white board heavily.

The evaluation will consist of written assignments (~8), a project, a midterm, and a final. The point breakdown is:

Written assignments: 20%
Project: 25%
Midterm: 25%
Final: 30%

Late submission policy: Every late minute will cost you a point.
Collaboration policy: You can discuss the written assignments and the project with your friends; however, everyone has to write their own solutions in their own words. You must include in your submissions the name of the people you collaborated with.
Code of academic honesty: Please read the procedures on academic honesty here. If you violate the academic honesty (such as unauthorized collaboration, cheating, etc.), then depending on the severity of the violation, it can result in i) receiving zero points on the respective assignment, ii) expulsion from the course, iii) suspension of your enrollment at the university, iv) expulsion from the university.
Americans with Disabilities Act (ADA) policy: Reasonable accommodations will be made for students with documented disabilities. In order to receive accommodations, students must obtain a letter of accommodation from the Center for Disability Resources. The Center for Disability Resources (CDR) is located in 3424 S. State St., room 1C3-2 (on the first floor), telephone: 312.567.5744 or disabilities@iit.edu.

Course Material

There is a recommended text book for this course:

Artificial Intelligence: A Modern Approach, 3rd edition, by Stuart Russell and Peter Norvig