CQUniversity Unit Profile
COIT20260 Cloud Computing and Internet of Things for Smarter Applications
Cloud Computing and Internet of Things for Smarter Applications
All details in this unit profile for COIT20260 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

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

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 6
Student Contribution Band: 8
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).

Offerings For Term 2 - 2024

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).

Class and 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.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

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

Assessment Grading

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.

Previous Student 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.

Feedback from Unit Coordinator's reflection

Feedback

There is a heavy focus on IBM Cloud, so students do not get exposure to other widely used cloud computing environments

Recommendation

Investigate a pathway to integrate content related to AWS or Azure

Feedback from Reflection from Co-lecturer and Unit Coordinator

Feedback

Constant process change in IBM Cloud results in some laboratory instructions being out of date

Recommendation

The laboratory content will be reviewed at the start of every offering to ensure up-to-date instructions are provided

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 Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4
1 - Written Assessment - 20%
2 - Group Work - 30%
3 - Project (applied) - 50%

Alignment of Graduate Attributes to Learning Outcomes

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
8 - Aboriginal and Torres Strait Islander Cultures

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment - 20%
2 - Group Work - 30%
3 - Project (applied) - 50%
Textbooks and Resources

Textbooks

Prescribed

The Cloud Computing Book The Future of Computing Explained

Edition: First (2023)
Authors: Douglas Comer
Chapman & Hall
ISBN: 9780367706845

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • AWS Academy Student Accounts
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Anwaar Ul-Haq Unit Coordinator
a.anwaarulhaq@cqu.edu.au
Schedule
Week 1 Begin Date: 08 Jul 2024

Module/Topic

Fundamentals of Cloud Computing
and IoT

Chapter

Chapters 1 and 2 

Events and Submissions/Topic

Setting up AWS Cloud Foundations Login

Week 2 Begin Date: 15 Jul 2024

Module/Topic

Cloud-enabling technologies and Virtualization

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

Introduction to AWS cloud Lab 

Week 3 Begin Date: 22 Jul 2024

Module/Topic

Data Centers & Managing Data in the
Cloud

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

LAB : AWS Cloud

Week 4 Begin Date: 29 Jul 2024

Module/Topic

Cloud Architecture and Design
Patterns

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS Cloud Lab

 

Week 5 Begin Date: 05 Aug 2024

Module/Topic

Designing cloud-based Networks

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS  VPC 


Knowledge Check Due: Week 5 Friday (9 Aug 2024) 11:45 pm AEST
Vacation Week Begin Date: 12 Aug 2024

Module/Topic

Session Break

Chapter

Break

Events and Submissions/Topic

Break

Week 6 Begin Date: 19 Aug 2024

Module/Topic

Building Cloud Applications:  Microservices

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS Cloud Lab

Week 7 Begin Date: 26 Aug 2024

Module/Topic

IOT, Edge and Fog Computing

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS IoT TwinMaker

 


Group Activity Due: Week 7 Friday (30 Aug 2024) 11:45 pm AEST
Week 8 Begin Date: 02 Sep 2024

Module/Topic

IoT and Digital Twins 

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS IoT TwinMaker

Week 9 Begin Date: 09 Sep 2024

Module/Topic

Server-less Computing and Lambda Functions

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS Academy Operations Lab 

Week 10 Begin Date: 16 Sep 2024

Module/Topic

Machine Learning on Cloud

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS Academy Machine Learning Foundations-Lab 

Week 11 Begin Date: 23 Sep 2024

Module/Topic

Machine Learning on Cloud II

Chapter

Online resources will be provided on Moodle

Events and Submissions/Topic

AWS Academy Machine Learning Foundations-Lab 

Week 12 Begin Date: 30 Sep 2024

Module/Topic

Revision 

Chapter

Events and Submissions/Topic

Q/A Session

 


Final Activity Due: Week 12 Friday (4 Oct 2024) 11:45 pm AEST
Term Specific Information

We will move from Microsoft Azure to AWS Cloud services and IoT infrastructure and integrate AWS Academy curriculum. For further information, please contact your instructor:

Unit Coordinator: Dr Anwaar Ulhaq (AWS Academy instructor)

Email: a.anwaarulhaq@cqu.edu.au

Assessment Tasks

1 Written Assessment

Assessment Title
Knowledge Check

Task Description

As part of this assessment, students will be invited to enroll in the AWS Academy Cloud Foundations course. Students need to complete any three quizzes (e.g., Module 2 Knowledge Check at the end of Module 2). Each module has a knowledge check. The average score of three quizzes will be scaled to 20% to calculate the mark for this assessment.


Assessment Due Date

Week 5 Friday (9 Aug 2024) 11:45 pm AEST


Return Date to Students

Week 7 Friday (30 Aug 2024)


Weighting
20%

Assessment Criteria

The first four modules are foundational, and students need to complete quizzes for any three of these modules. All students will be invited to enroll, and they should be able to complete the course online. Each quiz contains 10–15 multiple-choice questions, with no time restrictions on each quiz.


Referencing Style

Submission
Online

Submission Instructions
via AWS Academy portal

Learning Outcomes Assessed
  • Evaluate cloud computing concepts and IoT components for smart applications/systems development
  • Analyse the application of cloud computing and IoT technologies in different scenarios


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills

2 Group Work

Assessment Title
Group Activity

Task Description

This group assignment must be completed by a team of three members. The assignment requires selecting a topic from a provided list and conducting research on that topic. You should find scholarly articles (e.g., published journal articles, books, conference papers) and reports on current scientific developments relevant to the topic. The investigation should be conducted in a team environment and requires you to:

Choose a topic from the given list based on the instructions in the assessment specification.
Research multiple scholarly resources to report on the scientific developments relevant to the topic.
Please prepare a six-minute video presentation in which all group members participate. Share the video by providing an online link.
Detailed information about this assignment, including the list of topics and rubrics, will be provided in a detailed assessment description on the unit website in Moodle.


Assessment Due Date

Week 7 Friday (30 Aug 2024) 11:45 pm AEST


Return Date to Students

Week 9 Friday (13 Sept 2024)


Weighting
30%

Assessment Criteria

Detailed information about this assignment, including the list of topics and marking rubrics, will be provided in a detailed assessment description on the unit website in Moodle.


Referencing Style

Submission
Online Group

Learning Outcomes Assessed
  • Evaluate cloud computing concepts and IoT components for smart applications/systems development
  • Analyse the application of cloud computing and IoT technologies in different scenarios
  • Design and develop cloud based smart applications for business solutions


Graduate Attributes
  • Knowledge
  • Communication
  • Research
  • Leadership

3 Project (applied)

Assessment Title
Final Activity

Task Description

This detailed exam assessment will put all subject learning into practice with a focus on three main technologies: IoT, cloud, and spatial digital twins. It has two parts. In Part 1, students will be presented with a business case study and tasked with designing a complete application for a cloud-based implementation. This will include the identification of components, architecture design, security mechanisms, identification of communication protocols, and the selection of cloud services and IoT devices for project delivery.  In Part 2, students must complete three labs from the AWS Cloud Academy course in which they are enrolled. To keep consistency, the  assessment implementation will be based on AWS infrastructure and platform. 


Assessment Due Date

Week 12 Friday (4 Oct 2024) 11:45 pm AEST

Submit via Moodle


Return Date to Students

Upon grade certification


Weighting
50%

Assessment Criteria

The Design and Architecture criterion focuses on assessing the quality of the proposed application design and system architecture. This involves identifying and organizing components effectively, designing a scalable and efficient system structure, and ensuring alignment with industry best practices and standards. Lab Completion evaluates students' practical skills in cloud computing and AWS services through the successful completion of three labs from the AWS Cloud Academy course. This component demonstrates students' ability to apply theoretical knowledge to real-world scenarios, configure cloud environments, deploy applications, and troubleshoot common issues, showcasing their proficiency in cloud technologies and tools.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Design and develop cloud based smart applications for business solutions
  • Deploy a smart application using cloud computing and IoT technologies.


Graduate Attributes
  • Knowledge
  • Cognitive, technical and creative skills
  • Self-management
  • Ethical and Professional Responsibility

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?