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13001 (v.2) Measure and Probability 501
Area: | Department of Mathematics and Statistics |
Contact Hours: | 3.0 |
Credits: | 25.0 |
Lecture: | 3 x 1 Hours Weekly |
Prerequisite(s): | 302298 (v.2) Mathematics 302 or any previous version
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| 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. |
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | |
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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