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

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