MATH 512 - Probabilistic Methods
Description
Hours: Three hours lecture per week Prerequisites: Admission to the MS Mathematics Program or MS Computer Science Program Introduction to probabilistic methods. Topics include: sigma algebras, measures, integrals, Lebesgue measure, main convergence results and the change of variable results for integrals. Probabilistic methods in computational sciences are studied. Fall 2012 course number changed from MATH 510 to MATH 512.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| T | 6:00 PM - 9:00 PM | Online | 8/20/2022 - 12/10/2022 | Andrew Reynolds |
Status: Open
Class Number: 2717
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 8/20/2022 - 12/10/2022
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 5
Available Seats: 10
Wait List Capacity: 10
Wait List Total: 0
Textbook / Other Materials
Status: RequiredISBN: 9780471042228
Title: Elements of Integration & Lebesgue Measure
Publisher: John Wiley & Sons, Incorporate
Author: Bartle
Status: Required
ISBN: 9781118164488
Title: The Elements of Integration and Lebesgue Measure
Publisher: Wiley
Author: Bartle
More textbook information including prices
Enrollment Information
- Graduate Division
- Synchronous online