MIS275 - Decision Analytics
Unit details
Year: | 2024 unit information |
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Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit Chair: | Trimester 2: Lasitha Dharmasena |
Prerequisite: | MIS171 |
Corequisite: | Nil |
Incompatible with: | Nil |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 1.5 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour on-campus seminar each week |
Educator-facilitated (scheduled) learning activities - online unit enrolment: | 1 x 1.5 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week |
Content
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.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Apply decision models and modern optimisation techniques to conceptualise and represent a business scenario. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Apply optimisation software tools to find optimal decisions for a given business scenario. | GLO3: Digital literacy |
ULO3 | Interpret and analyse the results; investigate the assumptions of the decision model. | GLO4: Critical thinking |
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
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Assessment 1: (Individual) Case Study: Data analysis with written report (Analytical) | Data analysis file plus 800 words | 20% | Week 6 |
Assessment 2: (Individual) Case Study: Data analysis with written report (Analytical) | Data analysis file plus 1200 words | 30% | Week 11 |
End-of-unit assessment task: Written | 2 hours | 50% | End-of-unit assessment period |
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
Hurdle requirement: Achieve at least 50% of the marks available on the end-of-unit assessment to evidence a minimum proficiency in the aligned discipline learning outcomes included in this unit.
Learning Resource
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.
Unit Fee Information
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