PHYS 453 - Computational Physics II:Pattern Recognition

Institution:

Abilene Christian University

Subject:

Description:

spring, even years. Introduces pattern recognition methods and applications: decision theory, Principal Component Analysis, neural networks, linear and non-linear discriminant functions, supervised and unsupervised learning, feature extraction, Hidden Markov Models, Kalman Filters, and related methods in the area of applied computing. Prerequisites: MATH 341 and 377 and at least one of PHYS 360, 371, or 491.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.acu.edu

Phone Number:

(325) 674-2000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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