HuskyScheduler
Open the scheduler
CSE 3504: Probabilistic Performance Analysis of Computer Systems: Probabilistic performance analysis
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.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs
- Requirements
- 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.
Spring 2027 sections
Taught by Swapna Gokhale.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 3:30PM - 4:45PM / MoWe | Swapna Gokhale | Storrs | MCHU 205 | 36 of 60 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Swapna Gokhale.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 2:00PM - 3:15PM / MoWe | Swapna Gokhale | Storrs | MCHU 301 | 30 of 50 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
More courses
All CSE courses (Computer Science and Engineering) ยท All UConn subjects