Text:

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th ed.), George F. Luger, Addison-Wesley, 2002.

Course Description

Artificial Intelligence is the subfield of computer science concerned with automating tasks that would require "intelligence" if performed by people. AI is a highly eclectic field, with roots in mathematics, logic, psychology, philosophy, and engineering. The goal of this course is to introduce and survey the field of Artificial Intelligence, paying special attention to foundational concepts and theories. In addition, current trends and approaches in AI research will be studied.

Specific goals for the course are:

• To survey the field of Artificial Intelligence, including major areas of study and research (e.g., reasoning, planning, understanding)
• To study the foundational concepts and theories that underlie AI, including search, knowledge representation, and sub-symbolic models.
• To contrast the main approaches to AI: symbolic vs. emergent.
• To provide practical experience developing AI systems using the functional programming language Scheme.

Required Work

There will be five to seven homework assignments spread throughout the term. These assignments will cover concepts and problems from class and the readings, and may involve writing and modifying AI programs in Scheme. Assignments are due at the beginning of class on the date specified. Late assignments will receive 75% of full credit if they are handed in within one week of the specified due date. After one week, no credit will be given. In addition, students will be expected to independently research a topic in AI and present that topic to the class. There will be weekly quizzes, a midterm exam and a cumulative final exam (see the schedule below for exam dates).

There is no specific attendance policy for the course, although it is expected that absences will leave the student unprepared for tests and assignments. Quizzes and tests will not be rescheduled except in extreme circumstances. However, the lowest quiz grade will be dropped.

Grades will be determined as follows:

At the minimum, traditional grading cutoffs will apply. That is, 90% is guaranteed an A, 87% is guaranteed a B+, etc. Depending on class performance, some shifting of grades (in an upward direction only) may occur as final letter grades are assigned.

Policy on Collaboration

The college policy on cheating and plagiarism is spelled out in the Student Handbook. In addition to this, the following guidelines hold pertaining to programs. Programs are to be the sole work of the student -- collaboration on the design or coding of a program is not allowed. Students may seek debugging assistance or clarifications on assignments using the class mailing list: csc550@creighton.edu.

Repeat: All student interactions regarding homework assignments must take place via the class mailing list!

Tentative Schedule