CSCI 370 - STOCHASTIC COMPUTING

Institution:

Delaware State University

Subject:

Computer Science

Description:

This course is designed to cover a variety of important topics related to application of stochastic methods in computer science. The course includes theoretical principles necessary to understand use of stochastic methods, including notions of probability, distributions and statistical estimation and testing. The course emphasizes the practical aspects of stochastic methods in fields such as networking and pattern recognition. Mathematical details are covered to a minimal extent, needed to support the main ideas of the introduced algorithms. The students will be provided with hands-on experience in programming stochastic techniques in languages such as C/C++ and Matlab, and overview of statistical software such as SAS and SPSS.

Credits:

3.00

Credit Hours:

Prerequisites:

MTSC 251 AND MTSC 213

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.desu.edu

Phone Number:

(302) 857-6060

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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