MIS771 - Descriptive Analytics and Visualisation
Unit details
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Previously coded as: | MSQ791 |
| Assumed Knowledge: | The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary. |
| Unit Chair: | Trimester 1: Dilal Saundage Trimester 2: Humza Naseer Trimester 3: Jia Xu |
| Prerequisite: | For S735A students: MIS770 or SIT718 For all other students: MIS770 |
| Corequisite: | Nil |
| Incompatible with: | MAF256 |
| 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 2 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1 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 hour online seminar (recordings provided) each week |
Note:^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only. | |
Content
This unit focuses on the techniques and approaches to analysing business data to support decision making. It covers exploratory data analysis, visualisation of data and evidence-based decision making. The unit aims to give students a broad understanding of statistical approaches used to support business decisions, their limitations, typical application areas, managerial reporting of statistical results and incorporating insights into the business decision-making process. Extensive use is made of software to develop data visualisation and analysis skills and to enhance the appreciation of various techniques studied. The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.
| ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
|---|---|---|
| ULO1 | Solve complex problems using quantitative reasoning skills. | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem-solving |
| ULO2 | Plan, monitor, and evaluate own learning as an analytics professional. | GLO6: Self-management |
| ULO3 | Communicate solutions that inform decision-making and ongoing research to a variety of stakeholders. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication |
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Assessment 1: (Individual) Case Study: Part A: Data Analysis | Part A: Data analysis file Part B: 1500 words | Part A: 10% Part B: 20% | Week 5 |
| Assessment 2: (Individual) Case Study: Part A: Data Analysis | Part A: Data analysis file Part B: 1500 words | Part A: 15% Part B: 20% | Week 9 |
| Assessment 3 (Individual) Case Study: | Part A: Data analysis file Part B: 1000 words Part C: 500 words | Part A: 15% Part B: 10% Part C: 10% | Week 13 |
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.
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: MIS771 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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