Overview

Students will use a cloud platform to create well-architected deployments of distributed applications that are secure, scalable, reliable and cost optimised.

Requisites

Prerequisites

50 credit points in a Computer Science, Data Science, Cyber Security, Information Technology, Information Systems, Engineering or Artificial Intelligence related degree or (or any associated Double or Honours degree)

Antirequisites
COS10034 Cloud Computing
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026
Teaching Period 3
Location
Online
Start and end dates
02-November-2026
07-February-2027
Last self-enrolment date
15-November-2026
Census date
01-December-2026
Last withdraw without fail date
22-December-2026
Results released date
02-March-2027
Semester 1
Location
Hawthorn
Start and end dates
01-March-2027
30-May-2027
Last self-enrolment date
14-March-2027
Census date
30-March-2027
Last withdraw without fail date
20-April-2027
Results released date
06-July-2027
Teaching Period 2
Location
Online
Start and end dates
05-July-2027
03-October-2027
Last self-enrolment date
18-July-2027
Census date
03-August-2027
Last withdraw without fail date
24-August-2027
Results released date
26-October-2027
Semester 2
Location
Hawthorn
Start and end dates
02-August-2027
31-October-2027
Last self-enrolment date
15-August-2027
Census date
31-August-2027
Last withdraw without fail date
21-September-2027
Results released date
07-December-2027

Unit learning outcomes

On successful completion of this unit students will be able to:

  1. Evaluate cloud computing features, deployment models and value for specified application requirements
  2. Create and manage cloud services using a cloud management platform
  3. Design and implement a cloud-based web site that is reliable, scalable, secure and cost effective
  4. Compare architectural solutions for common Web applications and justify their suitability based on specified requirements

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
Lecture		 2.00  12 weeks  24
On-Campus 
Class		 2.00  12 weeks  24
Unspecified Activities
Various		 8.50  12 weeks  102
TOTAL     150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 20 - 30% 2,3 
ProjectGroup 20 - 30% 2,3,4 
TestIndividual 20 - 30% 1,2,3,4 
Tutorial ExercisesIndividual 20 - 30% 2,3,4 

Content

  • Cloud Computing features, models of deployment and platforms
  • Cloud services for computation, data storage, security and networking
  • Using a cloud management console to configure cloud services on a distributed cloud platform
  • Setting up virtual servers and files systems on a cloud platform
  • Creating a secure network of services in a Virtual Private Cloud
  • User identity management and access control
  • Data storage and database services in the cloud
  • Automated monitoring, scaling and load balancing of services
  • Infrastructure setup automation
  • Web content distribution and caching
  • Server-less cloud computing
  • Architectures for highly available solutions

Graduate Attribute – Digital Literacies: Information literacy

Graduate Attribute – Digital Literacies: Technical literacy

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.