Digital Data Analytics and Visualisation G (11937.1)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Online On-campus Online real-time |
Bruce, ÃØÃÜÖ±²¥ |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Arts And Design |
Discipline | Study level | HECS Bands |
School Of Arts And Communications | Graduate Level | Band 2 2021 (Commenced Before 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Critically evaluate the origins, role and economic weight of different types of data in the digital information ecosystem;
2. Identify, analyse and use major digital analytics tools (including website activity tracking, social media monitoring, and social media campaign tools);
3. Apply principles of data collection, curation, analysis and visualisation both independently and collaboratively; and
4. Understand the ethical and legal dimensions of the large-scale collection and analysis of data.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
2. UC graduates are global citizens - think globally about issues in their profession
3. UC graduates are lifelong learners - evaluate and adopt new technology
Prerequisites
None.Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2024 | Bruce, ÃØÃÜÖ±²¥ | Semester 2 | 29 July 2024 | Online | Ms Xiaolan Cai |
2024 | Bruce, ÃØÃÜÖ±²¥ | Semester 2 | 29 July 2024 | On-campus | Ms Xiaolan Cai |
2025 | Bruce, ÃØÃÜÖ±²¥ | Semester 2 | 28 July 2025 | On-campus | Ms Xiaolan Cai |
2025 | Bruce, ÃØÃÜÖ±²¥ | Semester 2 | 28 July 2025 | Online real-time | Ms Xiaolan Cai |
Required texts
See Reading List on Canvas
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of ÃØÃÜÖ±²¥ (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Participation requirements
Students are strongly encouraged to take the unmarked weekly quizzes and to participate in online and on-campus discussions.
Required IT skills
None
Work placement, internships or practicums
None