302375 (v.2) Measure and Probability 401

Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	3.0

The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.

Lecture:	3 x 1 Hours Weekly

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 and Fubini Theorem. Application to probability theory - conditional expectation, Martingales and limit theorems.

To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.

Field of Education:	010101 Mathematics
Funding Cluster:	04 - Mathematics, Statistics
SOLT (Online) Definitions*:	Not Online *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark
Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

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