COIT20282 - Research in Cyber Analytics

General Information

Unit Synopsis

The rapid growth of the Internet has brought with it an exponential increase in the type and frequency of cyber attacks. Data analytics can assist network managers particularly in the monitoring and surveillance of real-time network streams and real-time detection of both malicious and suspicious (outlying) patterns. In this unit, you will exercise your skills and knowledge of data analytics in selecting and deploying effective research techniques specific to the cyber security area. You will be researching on how data analytics can be used for advanced and intelligent cyber security systems for enterprise security. You will identify key sources of data, threats and techniques used by cyber security analysts, and develop skills in using those information sources to make informed decisions on cyber analytics solutions.

Details

Level Postgraduate
Unit Level Not Applicable
Credit Points 6
Student Contribution Band 8
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites There are no pre-requisites for the unit.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

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Residential School No Residential School

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Higher Education Unit Availabilities from Hyperflexible Annual Term - 2022

There are no Higher Education availabilities for this unit on or after Hyperflexible Annual Term - 2022
Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Annotated bibliography 40%
2. Written Assessment 60%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University’s Grades and Results Policy for more details of interim results and final grades

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Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Design a research strategy for solving an organisational problem in cyber analytics
  2. Prioritise information sources, such as research papers, news articles, white papers, and online sources, based on quality and relevance
  3. Develop skills in critically analysing publications
  4. Synthesise information from multiple sources in order to propose solutions to cyber analytics problems.

The Skills Framework for the Information Age (SFIA) defines skills and competencies of ICT professionals. SFIA is used internationally in job descriptions, role profiles and to describe graduate outcomes. This unit contributes to the following workplace skills as defined by SFIA 7 (the SFIA code is included):

  • Information security (SCTY)
  • Data visualisation (VISL)
  • Consultancy (CNSL)
  • Research (RSCH)
  • Emerging technology monitoring (EMRG)
  • Problem management (PBMG)

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4
1 - Annotated bibliography • •
2 - Written Assessment • •
Alignment of Graduate Attributes to Learning Outcomes
• Advanced Level
• Professional Level
Graduate Attributes Learning Outcomes
1 2 3 4
1 - Knowledge • • • •
2 - Communication • •
3 - Cognitive, technical and creative skills • • • •
4 - Research • •
5 - Self-management •
Alignment of Assessment Tasks to Graduate Attributes
• Advanced Level
• Professional Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8