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Unit (2019)

Information on this page, including unit offerings, is from the 2019 academic year.

Data Resources Management (ICT616)

School School of Engineering and Information Technology
Credit Points 3
Availability MURDOCH: S1-internal, S2-internal
Teaching Timetables Murdoch S1
Murdoch S2
Description This unit looks at the information available in corporate databases as a significant strategic resource. It focuses on those issues involved in managing and strategically exploiting data, including discovery of trends and patterns and new knowledge creation. Topics include: the nature of the data resource and the intelligent enterprise; data distribution and architectures; data administration; planning, design, and exploitation of the data resource; knowledge management, and issues of data ownership and security.
Unit Learning Outcomes Upon completion of this unit, students should be able to:
ULO1. Demonstrate an understanding of the terminology, principles, tools and techniques of data resources management.
ULO2. Describe and explain how organisations use data resources management as a strategy for meeting organisational goals.
ULO3. Identify the data management issues that arise from current trends in the field of Information Technology.
ULO4. Review case studies and articles describing real-world events, and situate these in the context of Data Management to suggest the best practices to employ.
Timetabled Learning Activities Lectures/workshops: 3 hours per week.
Unit Learning Experiences The approach to learning in this unit is based on constructivist learning - in which you integrate the new material with your own interests, background and career objectives. You will learn through weekly workshops, as well as via self-directed online discussions and forums. There are readings for each topic and you are expected to have obtained and made use of them before class in order to be able to contribute to the discussion of the weekly topic. Students are strongly encouraged to raise relevant issues from their experience to create an interactive learning environment.
Assessment As a unit with a practical focus, there is more emphasis on ongoing assessment during the semester. You will be assessed on the following
Contribution to class and online discussions (15%)
Database Assignment (20%)
Research Project (25%)

Examination (40%)

Written feedback is provided for all submitted work. Verbal feedback is provided in class on a weekly basis either individually or as a group depending on the task.
Prerequisites Enrolment in a graduate-level IT course.
Appears in these Courses/Majors:
see individual structures for context
Graduate Diploma in Data Science (GradDipDataSci)
Graduate Diploma in Engineering (GradDipEng)
Graduate Diploma in Information Technology Management (GradDipITMan)
Master of Business Administration + Master of Information Technology (Data Science) (MBA)+(MIT) [New in 2019]
Master of Engineering (ME)
Master of Information Technology (MIT)
Doctor of Information Technology (DIT)
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.


Unit Coordinator
Dr Polychronis Koutsakis
Senior Lecturer

Murdoch Campus
t: 9360 6475
e: p.koutsakis@murdoch.edu.au
o: 245.1.012 - Science and Computing, Murdoch Campus
Unit Contacts

MURDOCH: S1-Internal
MURDOCH: S2-Internal
Dr Polychronis Koutsakis
Senior Lecturer

Murdoch Campus
t: 9360 6475
e: p.koutsakis@murdoch.edu.au
o: 245.1.012 - Science and Computing, Murdoch Campus
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