COM 407 COMPUTATIONAL INTELLIGENCE

Computational methods that display aspects of intelligent behavior observed in humans. Topics may include fuzzy logic, an alternative to traditional formal logic; artificial neural networks, networks of simple arithmetic computing elements that abstractly simulate neurons; and genetic algorithms, based on the laws of survival of the fittest and heredity. How these methods deal with vague, imprecise, and uncertain knowledge; learn from experience; self-organize; and adapt their behavior in response to changing conditions to solve real world problems. Utilization of projects and the discussion of technical papers to cover methods of computational intelligence and their use.

Credits

4

Prerequisite

COM 304, COM 310, COM 316, or COM 320.

Registration Restrictions

Restricted to Computer Science majors and minors.

Enrollment Limit

Enrollment limited to 12 students.