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    Theory and application of probability and random processes.

    About this paper

    Paper title Probability and Random Processes
    Subject Statistics
    EFTS 0.1667
    Points 20 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $1,240.75
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    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


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system
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