MATH 587 - Markov Chains and Processes
Description
Hours: Three hours lecture per week Prerequisites: Admission to the Computer Science or Mathematics Graduate Program Topics include: Central Limit Theorem, Law of Large Numbers, Convergence Theorems, Markov Chains and Markov Processes. Applications in other fields, such as bioinformatics and computer science.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| W | 6:00 PM - 8:00 PM | Online | 8/22/2020 - 12/18/2020 | Jorge Garcia |
Status: Open
Class Number: 2958
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 19
Available Seats: 11
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Graduate Division