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

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Session Section Class # Type Days Time Location Instructor Course Details [Key]
E1 1 4125 LEC TTH  6:00 PM  -  7:15 PM  Bell Tower 1704 Jorge Garcia Course Open Class Details Extended University Class In Person Class

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