MIS362 - Social Media Analytics and Data Driven Innovation
Unit details
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 2: Rachelle Bosua |
| Prerequisite: | One MIS coded unit |
| 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 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 2 hour on-campus seminar each week |
| Educator-facilitated (scheduled) learning activities - online unit enrolment: | 1 x 1 hour class recorded lecture provided each week and 1 x 2 hour online seminar (recordings provided) in weeks 1-10 |
Content
This unit introduces students to the nature of social media and its cultural politics. It familiarises students with software tools for accessing, analysing, and visualising social media data. It also explores (1) the implications of accessing social media data; (2) the benefits and problems with analysing social media data in real time; (3) the approaches to analysing social media data for trends and patterns; and (4) the approaches for social media data-driven innovation in organisations.
| ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
|---|---|---|
| ULO1 | Identify and analyse the innovation potential and risks of applying social media analytics tools in an organisational setting. | GLO1: Discipline specific knowledge and capabilities |
| ULO2 | Present arguments in written and oral form about the innovation potential and impact of social media data in an organisational setting. | GLO2: Communication |
| ULO3 | Apply analytics tools to identify, explain and produce visualisations associated with patterns in social media data. | GLO3: Digital literacy |
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Assessment 1: (Individual) Case Study (Report) | 1000 words | 20% | Week 5 |
| Assessment 2: (Individual) Part A: Report (Analytical) Part B: Presentation (Video Recording) (Online) | Part A: 2000 words Part B: 6 minutes | Part A: 30% Part B: 10% | Weeks 10 and 11 |
| End-of-unit assessment task: Written | 2 hour | 40% | 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.
Learning Resource
The texts and reading list for the unit can be found on the University Library at the link here: MIS362 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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