Department of Computer Science
Iowa State University
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ComS 474 Elements
of Neural Computation Department of Computer Science Iowa State University |
Schedule:
Lectures: TR 11:00-12:20 IN SWEENEY 1116
Instructor:
Jin Tian
Assistant Professor
Artificial
Intelligence Research Laboratory
Department of Computer Science
Iowa State University
Phone: (515) 294-8433
Email: jtian@cs.iastate.edu
Office: 108 Atanasoff Hall.
Office Hours: MW 2-3pm, or by appointment.
Catalog Description
Elements of Neural Computation - ComS 474 - is a 3-credit, senior undergraduate elective course offered by the Department of Computer Science at Iowa State University every fall. It is available for nonmajor graduate credit.
Prerequisites: 311, 330 or Cpr E 310, Stat 330, Math 165, Engl 105, Sp Cm 212, Com S 342 or comparable programming experience.
Introduction to theory and applications of neural computation and computational neuroscience. Computational models of neurons and networks of neurons. Neural architectures for associative memory, knowledge representation, inference, pattern classification, function approximation, stochastic search, decision making, and behavior. Neural architectures and algorithms for learning including perceptions, support vector machines, kernel methods, bayesian learning, instance based learning, reinforcement learning, unsupervised learning, and related techniques. Applications in Artificial Intelligence and cognitive and neural modeling. Hands-on experience is emphasized through the use of simulation tools and laboratory projects. Oral and written reports.
Textbooks and References
Course Materials