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Institution:
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University of Connecticut-Tri-Campus
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Subject:
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Description:
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(221) Either semester. Three credits. Prerequisite: CSE 2100; and 2500; and one of STAT 3025Q or 3375Q or MATH 3160. Introduction to the probabilistic techniques which can be used to represent random processes in computer systems. Markov processes, generating functions and their application to performance analysis. Models which can be used to describe the probabilistic performance of digital systems.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(860) 486-2000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Semester
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