DevanshKandpal: Bot: wrap bare course codes in wikilinks

2026-04-14T16:42:28Z

Bot: wrap bare course codes in wikilinks

← Older revision		Revision as of 16:42, 14 April 2026
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	\| credit_structure = 3-0-0		\| credit_structure = 3-0-0
	\| pre_requisites =		\| pre_requisites =
	\| overlaps = MTL510		\| overlaps = [[MTL510]]
	}}		}}

	== MTL270 : Measure Integral and probability ==		== MTL270 : Measure Integral and probability ==
	Measurable spaces, measurable sets, measurable functions, measure, outer measures and generation of measure, Lebesgue integration, basic integration theorem, comparison of Lebesgue and Riemann integrals, various modes of convergence of measurable functions, signed measure, Hahn and Jordan decomposition theorems, the Radon-Nikodym theorem, product measures and Fubini's theorem, probability measures and spaces, independent events, conditional probability, theorem of total probability, random variables, distribution and distribution function of a random variable, independent random variable, expectation, convergence in distribution of a sequence of random variables, weak and strong laws of large numbers, Kolmogorov's zero-one law, the central limit theorem, identically distributed summands, the Linderberg and Lyapounov theorems.		Measurable spaces, measurable sets, measurable functions, measure, outer measures and generation of measure, Lebesgue integration, basic integration theorem, comparison of Lebesgue and Riemann integrals, various modes of convergence of measurable functions, signed measure, Hahn and Jordan decomposition theorems, the Radon-Nikodym theorem, product measures and Fubini's theorem, probability measures and spaces, independent events, conditional probability, theorem of total probability, random variables, distribution and distribution function of a random variable, independent random variable, expectation, convergence in distribution of a sequence of random variables, weak and strong laws of large numbers, Kolmogorov's zero-one law, the central limit theorem, identically distributed summands, the Linderberg and Lyapounov theorems.

Prashantt492: Creating course page via bot

2026-03-04T10:14:06Z

Creating course page via bot

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{{Infobox Course
| code = MTL270
| name = Measure Integral and probability
| credits = 3
| credit_structure = 3-0-0
| pre_requisites =
| overlaps = MTL510
}}

== MTL270 : Measure Integral and probability ==
Measurable spaces, measurable sets, measurable functions, measure, outer measures and generation of measure, Lebesgue integration, basic integration theorem, comparison of Lebesgue and Riemann integrals, various modes of convergence of measurable functions, signed measure, Hahn and Jordan decomposition theorems, the Radon-Nikodym theorem, product measures and Fubini's theorem, probability measures and spaces, independent events, conditional probability, theorem of total probability, random variables, distribution and distribution function of a random variable, independent random variable, expectation, convergence in distribution of a sequence of random variables, weak and strong laws of large numbers, Kolmogorov's zero-one law, the central limit theorem, identically distributed summands, the Linderberg and Lyapounov theorems.

MTL270 - Revision history

DevanshKandpal: Bot: wrap bare course codes in wikilinks

Prashantt492: Creating course page via bot