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STAT405 Probability and Random Processes

Theory and application of probability and random processes.

Paper title Probability and Random Processes
Paper code STAT405
Subject Statistics
EFTS 0.1667
Points 20 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees (NZD) $1,206.91
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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STAT 370, MATH 202 and MATH 203

Teaching staff

Matthew Parry
Martin Hazelton


Recommended reading:

  • Grimmett, G.R and Stirzaker, D.R. (2001) Probability and Random Processes. Oxford University Press (3rd edition)
  • Guttorp, P. (2018) Stochastic modeling of scientific data. CRC press
  • Billingsley, P. Statistical Inference for Markov Processes
  • Jones, P.W. and Smith, P. (2017) Stochastic Processes: An Introduction. CRC press
Graduate Attributes Emphasised

interdisciplinary perspective, lifelong learning, scholarship, communication, critical thinking, ethics, information literacy, research, self-motivation, teamwork
View more information about Otago's graduate attributes.

Learning Outcomes

Students successfully completing this course will:

  • Have knowledge of the mathematical foundations of probability theory
  • Have understanding of the properties of common types of stochastic process models
  • Apply probability and stochastic processes to model random phenomena
  • Demonstrate autonomy and judgement in communicating technical results to others, including non-specialists

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Semester 1

Teaching method
This paper is taught On Campus
Learning management system