Data Management Law PG (11532.1)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|
|0.125||3||Faculty Of Business, Government & Law|
|Discipline||Study level||HECS Bands|
|Canberra Law School||Post Graduate Level|| Band 4 2021 (Commenced After 1 Jan 2021)
Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905)
Band 5 2021 (Commenced Before 1 Jan 2021)
Learning outcomesAfter successful completion of this unit, students will be able to:
1. Evaluate the legal and policy challenges of digital data for government from a global perspective responsive to sustainability, diversity, and innovation;
2. Apply regulatory frameworks for the government management of data to solve complex problems with advanced cognitive, technical and communication skills; and
3. Demonstrate effective research, communication, and legal reasoning skills as well as ethical, self-reflective professional judgement in drafting professional documents relating to data management.
Graduate attributes1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
3. UC graduates are lifelong learners - be self-aware
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
There are no set texts. A detailed Suggested Reading guide will be provided prior to commencement of the unit. The Canvas module for each session will feature a range of articles, chapters, judgments and other material.
Submission of assessment items
Extensions & Late submissions
All three assessment items must be submitted via the relevant drop box on the Canvas site.
Special assessment requirements
All three assessment items must be undertaken in order to pass the unit.
Note that the unit is taught on an intensive basis and that substantial extensions will only be available in exceptional circumstances.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Note that the unit is taught on an intensive basis for graduate students. It is the equivalent of a standard whole-of-semester unit.
The unit is delivered online. Participation in workshops is encouraged but not mandatory. All sessions are recorded. Handouts will be available on Canvas.
Required IT skills
Work placement, internships or practicums
Detailed guidance about all three assessment items, including use of AGLC4 and assessment criteria, will be available on Canvas in Week 1.