13001 (v.2) Measure and Probability 501


 

Area:Department of Mathematics and Statistics
Credits:25.0
Contact Hours:3.0
Lecture:3 x 1 Hours Weekly
Prerequisite(s):302298 (v.2) Mathematics 302 or any previous version
Syllabus:Measure and measurable functions, Integration, Lebesgue measure and integration on the real line, Monotone convergence theorem, Fatou's lemma, Dominated convergence theorem, spaces and properties. Decomposition of measures, Radon-Nikodym theorem, Riesz Representation theorem, Product measures, Fubini Theorem. Application to probability theory - conditional expectation, Martingales, Limit theorems.
 
YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  

 

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