CS 557 - Computational Intelligence

Description:
Introducing concepts, models, algorithms, and tools for development of intelligent systems: artificial neural networks, genetic algorithms, fuzzy systems, swarm intelligence, and hybridizations of these techniques. CS 457 and CS 557 are layered courses; students may not receive credit for both.

Prerequisites:
Prerequisite: CS 528.

Credits:
(4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Describe the development of computational and artificial intelligence compared to the Turing Machine and conventional computing.
Demonstrate the basic concepts of learning, classification, pattern recognition, memory, logical operations.
Build neural classifiers and pattern recognition models.
Describe associative memories and their use in clustering, classification, and visualization of very large data sets.
Analyze the computational power of neural networks: which are the limits of neural computing.

Learner Outcomes Approval Date:
2/17/11