COIT20260 - Cloud Computing and Internet of Things for Smarter Applications

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.


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 2 - 2024

Term 2 - 2024 Profile
Term 3 - 2024 Profile

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

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Previous Feedback

Term 1 - 2022 : The overall satisfaction for students in the last offering of this course was 66.67% (`Agree` and `Strongly Agree` responses), based on a 50.00% response rate.

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: Unit Coordinator's reflection
Cloud based smart application development and deployment are not covered in the lectures.
Incorporate cloud based smart application development and deployment topics into the lectures.
Action Taken
The unit has incorporated laboratory exercises where students need to learn smart application development and deployment.
Source: Unit Coordinator's reflection
In Assessment 3, students need additional time to complete the report after completing cloud application development.
Divide Assessment 3 in two parts: Part A - Cloud Application Development and Deployment, and Part B - Report, and set different due dates for each part.
Action Taken
Assessment three was offered as a group assignment to address this challenge.
Source: Unit Coordinator's reflection
There is a heavy focus on IBM Cloud, so students do not get exposure to other widely used cloud computing environments
Investigate a pathway to integrate content related to AWS or Azure
Action Taken
In Progress
Source: Reflection from Co-lecturer and Unit Coordinator
Constant process change in IBM Cloud results in some laboratory instructions being out of date
The laboratory content will be reviewed at the start of every offering to ensure up-to-date instructions are provided
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
Advanced Level
Professional 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
Advanced Level
Professional Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment
2 - Group Work
3 - Project (applied)