Theory of Probability

APMA 2630 S01 [CRN: 16039]

A one-semester course that provides an introduction to probability theory based on measure theory. The course covers the following topics: probability spaces, random variables and measurable functions, independence and infinite product spaces, expectation and conditional expectation, weak convergence of measures, laws of large numbers and the Central Limit Theorem, discrete time martingale theory and applications.
Term
Fall 2017
Credit Hours
1
Maximum Enrollment
999
Primary Instructor
Instructor
Meetings
13:00 - 14:20 Tue, Thu - from Sep 6, 2017 to Dec 21, 2017
Exam Group Code
10