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

Info current as 5/18/2024
Days Times Room Meeting Dates Instructor
M  7:00 PM  -  9:30 PM  Bell Tower 2688 1/20/2018 - 5/19/2018 Jorge Garcia

Status: Open
Class Number: 2746
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 1/20/2018 - 5/19/2018
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 7
Available Seats: 3
Wait List Capacity: 0
Wait List Total: 0

Textbook / Other Materials

Status: Required
ISBN: 9780471042228
Title: Elements of Integration & Lebesgue Measure
Publisher: John Wiley & Sons, Incorporate
Author: Bartle

More textbook information including prices

Enrollment Information

  • Graduate Division