MIS362 - Social Media Analytics and Data Driven Innovation
Unit details
| Year: | 2021 unit information |
|---|---|
| Important Update: | Unit delivery will continue to be provided in line with the most current COVIDSafe health guidelines. This may include a mix of on-campus and online activities. To find out how you are impacted, please check your unit sites for announcements and updates. Unit sites open one week prior to the start of each Trimester/Semester. Thank you for your flexibility and commitment to studying with Deakin in 2021. Last updated: 4 June 2021 |
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 2: Kristijan Mirkovski |
| Prerequisite: | For D366 and M340 students: MIS171 All other students: NIL |
| 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. |
| Scheduled learning activities - campus: | 1 x 1 hour class and 1 x 2 hour seminar per week |
| Scheduled learning activities - cloud: | 11 x 1 hour class (recordings provided) and 10 x 2 hour online seminar |
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 |
| ULO2 | Present convincing arguments in written and oral form about the innovation potential and impact of social media data in an organisational setting. | GLO2 |
| ULO3 | Apply analytics tools to identify, explain and produce visualisations associated with patterns in social media data. | GLO3 |
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
| Assessment 1: (Individual) Case Study Report | 1500 words | 20% | Week 5 |
| Assessment 2a: (Individual) Social Media Analysis Report | 3000 words | 25% | Week 10 |
| Assessment 2b: (Individual) Video Presentation | 10 minutes | 5% | Week 11 |
| 48-hour assignment | 48 hours | 50% | Exam 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 mark available for Part 3
Learning Resource
Texts and reading lists for units can be found on the University Library via the following link. 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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