CSC481 – Artificial Intelligence
3 Credit Hours
Instructor: Dr. Richard Wyatt, Associate Professor of Computer Science
Text book, title, author, and year
Other Supplemental Materials
A number of papers by/on: Jack Copeland, Stuart Shapiro, Drew McDermott, Allen Newell and Herbert Simon, Eliza.
Specific course information
brief description of the content of the course (catalog description)
Artificial Intelligence (AI) is concerned with the replication or simulation on a machine of the complex behaviors associated with intelligence. Topics will be drawn from any of those comprising the field of AI such as agent architectures, automatic truth maintenance, constraint satisfaction, expert systems, fuzzy logic, games, genetic algorithms, knowledge representation, machine learning, neural networks and connectionism, natural language processing, planning, reasoning, robotics, search, theorem proving, and vision. Projects requiring coding will focus on an AI language such as Common Lisp or Prolog.
prerequisites or co-requisites
Prerequisite: CSC 220: Foundations of Computer Science and CSC 241: Data Structures and Algorithms
indicate whether a required, elective, or selected elective course in the program
specific outcomes of instruction Students will demonstrate:
explicitly indicate which of the student outcomes listed in Criterion 3 or any other
outcomes are addressed by the course.
Course addresses Student Outcomes (a), (b), (c), and (i).