units

FIT5205

Faculty of Information Technology

print version

This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Information Technology

Offered

Not offered in 2016

Synopsis

In the digital world, how we communicate, conduct business and socialize is revolutionising our way of life. The explosion of data and discovery are transforming the way we live and work, altering relationships between government and citizens, businesses and consumers, the researchers and the researched, the public and private sectors, the individual and society. This unit explores how big data analytics can potentially help grow the economy, improve health and education, support national security, protect the environment, enable more energy efficiency, drive innovation and progress, and support more resilient, sustainable communities and cultures. It also addresses the risks associated with the application of big data analytics in government and big business to support greater surveillance of citizen by state and consumers by business, disempower individuals and vulnerable communities, support discrimination, threaten social inclusion, social justice, human and civil rights, self-determination and privacy, and widen the divide between the data haves and have-nots.

The unit will cover: introduction to social, cultural and heritage informatics; building digital media/data ecosystems and using data technologies to achieve the benefits and mitigate the risks of big data; developing socio-legal and policy frameworks to ensure transparency, good governance, accountability and ethical practice; big data rights regimes - rights in data, rights to self determination, privacy rights, access rights, discovery rights, IP and copyright; use of big data to support resilient, sustainable communities and cultures.

Outcomes

At the completion of this unit, students should be able to:

  1. explain social, cultural and heritage informatics;
  2. describe and analyse digital media/data ecosystems;
  3. investigate how to use data technologies to achieve the benefits and mitigate the risks of big data;
  4. investigate how rights in data, rights to self determination, privacy rights, access rights, discovery rights, IP and copyright apply in different contexts/scenarios;
  5. develop socio-legal and policy frameworks and strategies to ensure transparency, good governance, accountability and ethical practice in big data management and use; 6. establish and manage data rights regimes;
  6. eesign and implement systems that use big data to support resilient, sustainable communities and cultures.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours lectures
  • Two hours laboratories

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.

(c.) Additional requirements (all students):

  • A minimum of 8 hours of personal study per week for completing lab/tutorial activities, assignments, private study and revision.

See also Unit timetable information

Co-requisites