2020 unit information
Classes and seminars in Trimester 2, 2020 will be online.
Last updated: 2 June 2020
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 2 hour class + 1 x 1 hour lab per week.
1 x 2 hour pre-recorded class+ 1 x 1 hour online lab activity per week. Recordings available via the Unit site
This unit focuses on quantitative decision models to improve managerial decision making, using the insights gained from business analytics. Students will apply decision models to make decisions in the domains of finance, supply chain, production planning, resource allocation and distribution networks. Students will learn to interpret and conceptualise different real-life business scenarios as mathematical models, allowing the decision maker to experiment with different decision inputs, and investigate the sensitivity of the outcomes.
Apply decision models and modern optimisation techniques to conceptualise and represent a business scenario.
GLO1: Discipline-specific knowledge and capabilities
Apply optimisation software tools to find optimal decisions for a given business scenario.
Interpret and analyse the results; investigate the assumptions of the decision model.
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement: Achieve at least 50% of the marks available on the examination
The texts and reading list for the unit can be found on the University Library via the link below: MIS275 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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