COIT20260 - Cloud Computing and Internet of Things for Smarter Applications

Showing: 2026 HE Term 1
General Information

Unit Synopsis

Emerging technologies, such as cloud computing and the Internet of Things (IoT), enable you to rapidly design, develop and deploy smart applications. In this unit, you are introduced to the software, devices, and techniques supporting these technologies. You will learn the fundamentals of cloud computing as well as various cloud environments and services, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). You will use a Platform as a Service (PaaS) cloud environment, gaining practical experience in designing, developing and deploying smarter cloud-based applications.

Details

Level Postgraduate
Unit Level 9
Credit Points 6
Student Contribution Band SCA Band 2
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Pre-requisite units: COIT20245 Introduction to Programming and COIT20246 ICT Services Management

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2026

Term 1 - 2026 Profile
Online
Term 2 - 2026 Profile
Online
Term 3 - 2026 Profile
Online

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Written Assessment 20%
2. Group Work 30%
3. Project (applied) 50%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

Previous Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Student Evaluations
Feedback:
Tutorials need to be updated to ensure students have access to the AWS and Azure platforms, aligning with tutorial requirements.

Recommendation:
The introductory tutorials will be updated with clear instructions to ensure students have their AWS and Azure accounts ready for tutorial activities.

Action Taken:
The tutorial materials, including the introductory tutorial, have been updated to better support students’ access to the AWS and Azure platforms.
Source: Unit Coordinator's reflection
Feedback:
There is a lack of coherence between the unit title, learning outcomes, and assessments.

Recommendation:
Revise the unit's learning outcomes and assessments.

Action Taken:
In Progress
Source: Unit Coordinator’s reflection
Feedback:
The coverage of the unit is too broad, covering smart application development, cloud computing, and the Internet of Things (IoT).

Recommendation:
An update unit proposal has been approved in line with the recommendation. The IoT content will be removed.

Action Taken:
In Progress
Unit Learning Outcomes

On successful completion of this unit, you will be able to:

  1. Evaluate cloud computing concepts and IoT components for smart applications/systems development
  2. Analyse the application of cloud computing and IoT technologies in different scenarios
  3. Design and develop cloud based smart applications for business solutions
  4. Deploy a smart application using cloud computing and IoT technologies.

The Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.

This unit contributes to the following workplace skills as defined by SFIA 7 (the SFIA code is included)

  • Systems design (DESN)
  • Systems integration and build (SINT)
  • Programming/software development (PROG)
  • Testing (TEST)
  • Release and deployment (RELM)
  • Application support (ASUP)
  • Solution architecture (ARCH)
  • IT infrastructure (ITOP)
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4
1 - Written Assessment
2 - Group Work
3 - Project (applied)
Alignment of Graduate Attributes to Learning Outcomes
Professional Level
Advanced Level
Graduate Attributes Learning Outcomes
1 2 3 4
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
Alignment of Assessment Tasks to Graduate Attributes
Professional Level
Advanced Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 8
1 - Written Assessment
2 - Group Work
3 - Project (applied)