Class Number: 3439
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.

Info has been updated in the last 30 minutes
Days Time Date Range Location Instructor
W 07:00 PM - 10:00 PM 01/20/2015 - 05/15/2015 Del Norte Hall 2530 Roger Roybal
Status: Closed
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 01/20/2015
End Date: 05/15/2015
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 12
Available Seats: 0
Wait List Capacity: 0
Wait List Total: 0


Textbook / Other Materials

Textbook Status: Required
ISBN: 0471317160
Title: Real Analysis: Modern Techniques and Their Applica
Author: Folland, Gerald B.
Publish:

Textbook Status: Recommended
ISBN: 0070542341
Title: "Real & Complex Analysis"
Author: Rudin
Publish: McGraw-Hill

Textbook Status: Choice
ISBN: 013143747X
Title: "Real Analysis"
Author: Royden & Fitzpatrick
Publish: Prentice Hall-Pearson

Textbook Status: Choice
ISBN: 0471042226
Title: "The Elements of Integration & Lebesgue Measure"
Author: Bartle
Publish: Wiley Interscience

More textbook information including prices

Enrollment Information

  • Graduate Division


Notes

  • MS MATH
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