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
| Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|
| 1 | 2751 | LEC | W | 6:00 PM - 9:00 PM | Sierra Hall 1111 | Vladimir Makarov |
|
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