MATH 587 - Markov Chains And Processes

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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.

Units: 3.00
Grading: Letter Grade

Info current as 11/23/2024
Section Class # Type Days Time Location Instructor Course Details [Key]
1 2958 LEC W  6:00 PM  -  8:00 PM  Online Jorge Garcia Course Open Class Details Extended University Class Online Class

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