SIT325 - Advanced Network Security
Unit details
| Year: | 2023 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Waurn Ponds (Geelong), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 2: Keshav Sood |
| Prerequisite: | SIT202 |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Typical study commitment: | Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities - campus: | 1 x 3 hour active class per week. |
| Scheduled learning activities - online: | Online independent and collaborative learning including 1 x 2 hour online workshop per week, weekly drop-in sessions. |
Content
A strong understanding of networking is critical for cyber security. This unit will provide students in the network security minor the advanced understanding of networks needed for success in the field. The unit will cover a range of advanced and emerging technologies, such as Software Defined Networks, Internet of Things, and AI based networking.
| ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
|---|---|---|
| ULO1 | Analyse and mitigate network and security issues in embedded wireless devices, Internet of Things networks, and emerging networking platforms such as Software Defined Networks. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Use standard tools to investigate and debug network and security problems in large scale heterogenous networks. | GLO1: Discipline-specific knowledge and capabilities |
| ULO3 | Implement algorithms for packet routing, load balancing and quality assurance for extremely high bandwidth networks and explain trade-offs for adjusting these algorithms. | GLO1: Discipline-specific knowledge and capabilities |
| ULO4 | Simulate large scale and heterogenous networks using virtualization tools and analyse performance characteristics of algorithms and network topologies. | GLO1: Discipline-specific knowledge and capabilities |
These Unit Learning Outcomes are applicable for all teaching periods throughout the year.
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Learning portfolio | Tasks include the production of a range of artefacts (code, reports, presentations etc.), along with written critique and reflection. | 100% | Week 11 |
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
The texts and reading list for the unit can be found on the University Library via the link below: SIT325 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
Click on the fee link below which describes you: