3504. Probabilistic Performance Analysis of Computer Systems
3.00 credits
Prerequisites:
Grading Basis: Graded
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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