![]() ![]() Interdisciplinary perspective, lifelong learning, scholarship, communication, critical thinking, ethics, information literacy, research, self-motivation, teamwork View more information about Otago's graduate attributes. Demonstrate autonomy and judgement in communicating technical results to others, including non-specialists.Apply probability and stochastic processes to model random phenomena.Have understanding of the properties of common types of stochastic process models.Have knowledge of the mathematical foundations of probability theory.Students successfully completing this course will: (2017) Stochastic Processes: An Introduction. Stirzaker, Probability and Random Processes, 3rd ed., Oxford Univ. Statistical Inference for Markov Processes Random Processes, 2nd ed., Mc-Graw-Hill, 1990. (2018) Stochastic modeling of scientific data. Prerequisite STAT 370, MATH 202 and MATH 203 Teaching staff ![]() Schaums Outline of Theory and Problems of Probability, Random Variables, and. Tuition Fees for international students are elsewhere on this website. GRIMMETT Statistical Laboratory, University of Cambridge and DAVID R. Otago's commitment to social responsibility Incoming Exchange and Study Abroad studentsĬhat with our current international students Pacific Island Health Professional Students Association Pacific at University of Otago Wellington Va'a o Tautai student support - Division of Health Sciences ![]()
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