Computer Science 112 - Computer System Modeling Fundamentals

Institution:

University of California-Los Angeles

Subject:

Description:

Lecture, four hours; outside study, eight hours. Requisite: Statistics 110A. Designed for juniors/seniors. Probability and stochastic process models as applied in computer science. Basic methodological tools include random variables, conditional probability, expectation and higher moments, Bayes theorem, Markov chains. Applications include probabilistic algorithms, evidential reasoning, analysis of algorithms and data structures, reliability, communication protocol and queueing models. Letter grading.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ucla.edu/

Phone Number:

(310) 825-4321

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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