Program Overview

Course Specification

The current and official versions of the course specifications are available on the web.

CSC8380 Designing Networks

Overview

Network design comprises deciding what routing and transmission resources are needed to provide communication services to a community or organisation, how it should be configured, and planning future upgrades. This advanced course provides the skills for practitioners to continue to grow their expertise over a wide range of present and future networking technologies.

Staffing

• Course Coordinator: Mostfa Albdair

Requisites

• Pre-requisite: CSC8540

Course Learning Outcomes

On completion of this course, students should be able to:

1. Analyse community or business requirements and choose appropriate technologies to address these requirements;
2. Utilise network design tools to design high performance, robust and reliable networks;
3. Configure and manage advanced routing protocols, including the Border Gateway;
4. Use network virtualization to configure and conduct experiments with networks;
5. Use tunnelling, Virtual Private Networks and software defined networks;
6. Apply the ACS code of ethics and relevant cultural competencies to professional practice;
7. Identify workflows and network team-based collaboration in application development, IT management and in general, and apply them to guide network design and evolution;
8. Identify and critically assess emerging trends in network technology and network designs which make use of them.

Topics

1. | Advanced routing protocols | 15.00
2. | Router protocol redistribution | 10.00
3. | Border Gateway Protocol | 10.00
4. | Multipath routing | 5.00
5. | Advanced switching | 15.00
6. | Tunnelling, VPNs and SDN | 5.00
7. | Network automation | 10.00
8. | Network virtualization | 10.00
9. | Advanced network design | 15.00
10. | Emerging trends and the ACS code of ethics and relevant cultural competencies in network design | 5.00

Text and Materials Required

There are no texts or materials required for this course.

Student Workload Expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks.

Assessment Details

Approach | Type | Description | Group
Assessment | Weighting (%) | Course learning outcomes
---|---|---|---|---|---
Assignments | Design | Design 1 | No | 10 | 1,2,6
Assignments | Written | Problem Solving | No | 10 | 3,4
Assignments | Design | Design 2 | No | 30 | 4,5
Assignments | Written | Report | Yes | 50 | 1,2,3,4,5,6,7,8

Course Details

• Units: 1
• School or Department: School of Mathematics, Physics & Computing
• Grading basis: Graded
• Course fee schedule: Not specified
• Semester: Semester 2, 2023
• Mode: Online