SIT384 - Cyber Security Analytics
Unit details
| Year | 2025 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 1: Shang Gao |
| Prerequisite: | SIT102 and SIT182 |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 2 x 1 hour online lectures per week, 1 x 2 hour practical experiences (workshop) per week. |
| Educator-facilitated (scheduled) learning activities - online unit enrolment: | Online independent and collaborative learning including 2 x 1 hour online lectures per week (recordings provided), 1 x 2 hour online practical experiences (workshop) per week. |
| Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
Content
In SIT384 students will learn about the various data analytical methodologies used to investigate cyber security problems. In particular, we will focus on processing and analysing data relevant to cyber security systems and applications. You will be introduced to the scripting techniques and solutions required for data analytics in the context of cyber security. Applying appropriate data analytical methods and solving cyber security problems will be a key practical element of this unit.
Learning Outcomes
| ULO | These are the Unit Learning Outcomes (ULOs) for this unit. At the completion of this unit, successful students can: | Alignment to Deakin Graduate Learning Outcomes (GLOs) |
|---|---|---|
| ULO1 | Identify common formats of data stored and transmitted in the context of cyber security systems and applications. | GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy GLO4: Critical thinking |
| ULO2 | Apply and explain the principles of data analytics including classification, clustering, regression supervised learning and unsupervised learning. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication |
| ULO3 | Implement and test small data analytics solutions to process cyber security data using scripting languages such as Python. | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem solving |
| ULO4 | Justify meeting specified outcomes through providing relevant evidence and critiquing the quality of that evidence against given criteria. | GLO4: Critical thinking GLO6: Self-management |
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Learning portfolio | Python code, Screenshot images, documents, video links | 100% | Week 12 |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
Learning resource
Prescribed text(s): Müller and Guido, 2017, Introduction to Machine Learning with Python: A Guide for Data Scientists, 1st Ed, O'Reilly Media.
The texts and reading list for SIT384 can be found via the University Library.
Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.