CISC 340 - Introduction to Artificial Intelligence

(4 semester hours)
Prerequisites: MATH 310 and C or higher in CISC 233
Description: This course serves as a survey of topics within the broad subject area of artificial intelligence (AI) and is used to establish a foundation for further courses in the subject area. Topics include the historical and cultural foundations of artificial intelligence, theoretical questions which form the basis for study, and approaches to view AI as a form of intelligent searching. There is also special attention given to the fundamental differences in theory and application of a more traditional symbolic approach to AI as well as an introduction to more contemporary methodologies within machine learning. The student will be expected to do independent research on a topic of their choice within the field and present that research to the class at the end of the semester. Offered Spring semester, annually.