3504. Probabilistic Performance Analysis of Computer Systems
3.00 credits
Prerequisites: CSE 2050 or CSE 2100; CSE 2500; STAT 3025Q or STAT 3345Q or STAT 3375Q or MATH 3160; open only to students in the College of Engineering.
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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