Class Number: 2717
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| T | 06:00 PM - 09:00 PM | 08/20/2022 - 12/10/2022 | Online | Andrew Reynolds |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/20/2022
End Date: 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
Textbook Status: Required
ISBN: 9780471042228
Title: Elements of Integration & Lebesgue Measure
Author: Bartle
Publish: John Wiley & Sons, Incorporate
Textbook Status: Required
ISBN: 9781118164488
Title: The Elements of Integration and Lebesgue Measure
Author: Bartle
Publish: Wiley
More textbook information including prices
Enrollment Information
- Graduate Division
- Online Synchronous