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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.
 

Field of Education:

 10100 Mathematical Sciences (Narrow Grouping)

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Not Online  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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