CS 5811
Advanced Artificial Intelligence

Course description:

Course topics include current topics in artificial intelligence including agent-based systems, learning, planning, use of uncertainty in problem solving, reasoning, and belief systems.
Prerequisite: CS4811

Instructor

Dr. Nilufer Onder
Office: 309 Rekhi CS Hall
Phone: (906) 487 1641
Office Hours: MW 11:00am-11:59am, and whenever needed.
I understand that the office hour times I list might not fit your schedule. Feel free to stop by or send e-mail for questions. If you'd like you can set up an appointment by sending me an e-mail message. Make sure to include the times you can meet.

Textbook

Artificial Intelligence: A Modern Approach Third edition by Stuart Russell and Peter Norvig Prentice Hall Series in Artificial Intelligence, 2010

Please check out the book's web site.
I will ask you to read sections from this textbook. I will also be assigning exercises from it.
This is the latest edition of the book. It came out in 2010. I will be handing out extra references as we go into advanced topics.

Grading

Assignments and paper presentation	40%
Project	20%
Exam 1	20%
Exam 2	20%

The final grade will be calculated using a sliding scale using the percentages above.

Class attendance:

Please send me an e-mail message if you know that you are going to miss a class or if you have missed a class.

Assignments---information and policy:

All the assigments should be submitted/handed-in at or before the beginning of class on the due date. Late submissions are not accepted unless you notify me in advance. Even so, late submissions may lose points to maintain fairness of grading.

While discussion with others is permitted and encouraged for homework assignments, the final work should be done individually. You are allowed to build on material supplied in the class. You are not allowed to work in groups for the assignments. The answers, comments, and programs must be the original work of the author. I will be asking for the complete list of references you have used in completing the assignment.

If copying, plagiarism, or unauthorized collaboration is suspected, the case will be turned to the Dean of Students' office with supporting evidence (see the paragraph below on "Academic Integrity").

Exams---information and policy:

The exams will be held in the evening to be able to give more time.

There will be no make-up exams. In the case of very unusual circumstances (e.g., death in the family, severe illness with doctor's written note), please let me know and we can work something out.

Academic Integrity:

If copying, plagiarism, or unauthorized collaboration is suspected, the case will be turned to the Dean of Students' office with supporting evidence. After this, the decision is made by the Dean. The procedure is explained in the MTU Academic Integrity Policy (this is required reading!). More tips and information can be found at the Dean of Students' page. The "Featured Links" on that page include a link to a 12 minute video presentation called "Academic Integrity at Michigan Tech - What Students Need to Know." Note that we have a departmental policy of reporting the suspected cases to the Department Chair's office.

Required Background

I will assume that you know Java or C++ and can read/analyze larger code. Lisp is not required for this course. But it's a neat language to learn. You may choose to your implementation in any language but then you might not be able to use the supplied code. Please see me if you have concerns about the choice of a programming language. Please see me if you have concerns about the choice of a programming language.

Affirmative Action and ADA

Michigan Technological University complies with all federal and state laws and regulations regarding discrimination, including the Americans with Disabilities Act of 1990. If you have a disability and need a reasonable accommodation for equal access to education or services at Michigan Tech, please call the Dean of Students Office, at 487-2212. For other concerns about discrimination, you may contact your advisor, Chair/Dean of your academic unit or the Affirmative Programs Office, at 487-3310.