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3504. Probabilistic Performance Analysis of Computer Systems

3.00 credits

Prerequisites: CSE 2050 or 2100; CSE 2500; STAT 3025Q or 3345Q or 3375Q, or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors.

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.

Last Refreshed: 31-MAR-23 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Spring 2023 Storrs In Person Wei, Wei 001 Reg MoWeFr 11:15am‑12:05pm
UTEB 150 79/70
Waitlist Spaces: 25
Fall 2023 Storrs In Person Gokhale, Swapna 001 Reg TuTh 2:00pm‑3:15pm
FSB 025 21/60