MATH 587 - Markov Chains and Processes
Show Details for Open Courses Only
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
Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
---|---|---|---|---|---|---|---|---|
E1 | 1 | 2958 | LEC | W | 6:00 PM - 8:00 PM | Online | Ivona Grzegorczyk | |
E1 | 1 | W | 6:00 PM - 8:00 PM | Online | Ivona Grzegorczyk |
Key for Course Detail Icons
- = Course Open
- = Course Closed
- = Course Details
- = Textbook Info
- = General Education
- = Extended University
- = Service-Learning
- = In Person Course
- = Asynchronous Online Course
- = Synchronous Online Course
- = Synchronous/Asynchronous Course
- = No Cost Course Materials
- = Low Cost Course Materials