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Stochastic Optimisation (MAST90144) // Further information
About this subject
- Overview
- Eligibility and requirements
- Assessment
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Contact information
Semester 1
Further information
- Texts
Prescribed texts
None.
Recommended texts and other resources
Powell, W. B., Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions. Wiley-Interscience, 2022.
Powell, W. B., Sequential Decision Analytics and Modeling: Modeling with Python. Now Foundation and Trends, 2022.
Birge, J. R. and Louvreau, F. Introduction to Stochastic Optimisation, 2nd edition. Springer Science, 2011.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Mathematics and Statistics) - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024