CSC 551 - Pattern Recognition

Institution:

Southern Connecticut State University

Subject:

Computer Science

Description:

Prerequisite: MAT 221 or equivalent Theory and applications of statistical, neural and syntac- tical pattern recognition. Topics include Bayesian decision theory, discriminant functions, parametric and non- parametric techniques, multilayer neural networks, decision trees, algorithm-independent machine learning and unsupervised learning and clustering. Scheduled spring semesters every three years. 3 credits.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.southernct.edu

Phone Number:

(203) 392-5200

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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