Term: Spring, 2017
Class Hours: 3:30 PM - 4:45 PM, TR.
Room: 238 Streibel
Instructor: Dr. M. Eunjin Kim
Office: 215 Streibel
Office Hours: 12:30 pm - 3:00 pm. TR
Prerequisites: CSci 242. Algorithms and Data Structures
Intelligence: A Modern Approach, 3rd Ed.
by S. Russell and P. Norvig
Prentice-Hall Academic, 2009.
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: https://learn.aero.und.edu
§ 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.
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.