MIS772 - Predictive Analytics
Unit details
Year | 2025 unit information |
---|---|
Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit Chair: | Trimester 1: Rens Scheepers Trimester 2: Arman Kaldi Trimester 3: Arman Kaldi |
Prerequisite: | For S735A students: MIS770 or SIT718 For all other students: MIS770 |
Corequisite: | Nil |
Incompatible with: | Nil |
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour on-campus practical experience (laboratory) each week |
Educator-facilitated (scheduled) learning activities - online unit enrolment: | 1 x 2 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week |
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. |
Note:^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only. |
Content
The ‘information age’ has combined with the widespread adoption of digital technology to turn information into a key business asset. Businesses and governments now have access to massive volumes of data and require skills and expertise in making sense of this information for strategic decision making. This unit will provide students with the knowledge and skills to build predictive models and use data mining tools with ‘Big Data’. Students will be given the opportunity to gain hands-on experience with one of the most widely used predictive analytics software tools globally.
Learning Outcomes
ULO | These are the Unit Learning Outcomes (ULOs) for this unit. At the completion of this unit, successful students can: | Alignment to Deakin Graduate Learning Outcomes (GLOs) |
---|---|---|
ULO1 | Explain predictive analytics concepts and techniques. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Analyse multifaceted real-world business problems, and subsequently propose appropriate analytic solutions using a combination of predictive techniques. | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem solving |
ULO3 | Construct and evaluate integrated predictive analytic solutions using contemporary analysis tools. | GLO1: Discipline-specific knowledge and capabilities |
ULO4 | Prepare reports that effectively communicate your solution(s) to business problems. | GLO2: Communication |
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
---|---|---|---|
Assessment 1: (Individual) Case Study: Data analysis with written Report (Business) | Data analysis file plus 500 words | 15% | Week 4 |
Assessment 2: (Individual) Case Study: Data analysis with written Report (Analytical) | Data analysis file plus 2500 words | 35% | Week 9 |
End-of-Unit Assessment: 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 MIS772 can be found via the University Library.
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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