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

Info current as 5/16/2024
Days Times Room Meeting Dates Instructor
W  6:00 PM  -  9:00 PM  Online 1/21/2023 - 5/19/2023

Status: Open
Class Number: 2526
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 1/21/2023 - 5/19/2023
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 5
Available Seats: 25
Wait List Capacity: 0
Wait List Total: 0

Enrollment Information

  • Graduate Division
  • Synchronous online