MATH 512 - Probabilistic Methods

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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.

Units: 3.00
Grading: Letter Grade

Info current as 11/20/2024
Section Class # Type Days Time Location Instructor Course Details [Key]
1 2717 LEC T  6:00 PM  -  9:00 PM  Online Andrew Reynolds Course Open Class Details Course Textbook Information Extended University Class Online Class

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