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APPLIED PROBABILITY

Module code: HM804
Credits: 5
Semester: S
Department: HAMILTON INSTITUTE
International:

	Overview
	Statistics, Summaries, events, probability, random variables, expectation, Markov chains; Limit theorems including modes of convergence, law of large numbers, central limit theorem; representative examples of modern applications from the sciences and engineering, including branching processes and information theory.

	Learning Outcomes
	On successful completion of the module, students should be able to: describe and discuss the foundations and key results of modern probability and information theory in an integrated format describe contemporary applications of probability pursue independent research in these topics

Teaching & Learning methods

Assessment

	Pre-Requisites
	Registered PhD student; Advanced Calculus; Basic Linear Algebra; some knowledge of real analysis and basic probability

	Co-Requisites
	None

	Timetable
	This timetable is not currently available, please contact the Hamilton Institute Department.

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