Introduction to Cyber Security
Credit points
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
VU Brisbane
VU Sydney
Prerequisites
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
In this unit, you’ll learn the essential tools and strategies used to defend digital systems against modern cyber threats. Learn how to detect vulnerabilities, configure secure environments, and evaluate real-world risks using ethical hacking practices. With a strong focus on hands-on skills, you'll gain confidence using industry tools and protocols in simulated security scenarios. By the end of the unit, you’ll be equipped to assess and secure networked systems: preparing you for future roles in cyber security and related fields.
Learning Outcomes
On successful completion of this unit, students will be able to:
- Investigate system vulnerabilities and assess the effectiveness of security tools to strengthen networked systems;
- Analyse a system for deploying appropriate security solutions including security policies and practices;
- Design and develop a security solution given a set of constraints individually and as part of a team; and
- Exhibit hacking methodologies in consideration of ethical and professional standards.
Assessment
For Melbourne campuses
Assessment type: Laboratory Work | Grade: 20%
In class practical test with verified live interaction.
Assessment type: Project | Grade: 40%
Design and implementing a security solution (derived from real world/industry applications)
Assessment type: Test | Grade: 40%
Test (solving practical problems derived from real word/industry applications) Invigilated in class.
Laboratory Work: Conducted under supervision, students complete real-time data analysis, coding, or modelling tasks. Execution is observed, and outcomes are verified through live checks or oral Q&A to ensure individual performance.
Project: Includes structured milestone reviews and in-class progress checks. Individual contributions are logged, validated, and justified through recorded peer review or demonstration to ensure authenticity.
Case Study: Students apply concepts to unpredictable data science scenarios. Responses are evaluated based on reasoning, method selection, and outcome justification, with an in-class component or oral defence verifying understanding.
Required reading
Other selected readings are provided on VU Collaborate.
Recommended reading: Mark Ciampa. CompTIA Security+ Guide to Network Security Fundamentals 8th Ed Cengage Learning
As part of a course
This unit is studied as part of the following course(s):