CSci 384. Artificial Intelligence


Term:   Spring, 2017

Class Hours:   3:30 PM - 4:45 PM, TR.

Room:   238 Streibel

Instructor:   Dr. M. Eunjin Kim


Office:   215 Streibel

Phone:   (701)777-3338

Office Hours:   12:30 pm - 3:00 pm. TR

Prerequisites:   CSci 242. Algorithms and Data Structures

Textbook:   Artificial Intelligence: A Modern Approach,   3rd Ed.
                     by S. Russell and P. Norvig
                     Prentice-Hall Academic, 2009.

Recommended book: 

                                         Artificial Intelligence, 6th Ed.

     George F. Luger

                                         Addison Wesley, 2009.


      Artificial Intelligence in the 21st Century

                                          by S. Lucci and D. Kopec.

                                          Mercury Learning and Information, 2013.

Class Webpage:


§  Midterm:                                 20 %

§  Final Exam:                             20 %

§  Assignments & Quizzes:          25 %

§  Projects                                   30 %

§  Attendance :                             5%

§  Submission to EPSCoR Conf.  +5%  (bonus)

Final Exam:   3:15 PM, May. 11th (Thr.), 2017.

Course Description:

This is an introductory course in Artificial Intelligence designed to provide the students with a broad overview of the field of AI by covering the fundamental issues in AI, both the breadth and depth of the subject. The goal of the course is to understand important problems, concepts, techniques and applications from the field of AI. Topics include: Intelligent Agents; Problem Solving by the Various Search Methods; Constraint Satisfaction Problem; Knowledge Representation, Reasoning and Planning in Logics; The Uncertain Knowledge and Reasoning using Probability;  Machine Learning.  Lectures on these topics will be supported with some problem solving orientated assignments and/or some programming.