Unit Outline

Internet of Things (IoT) is a rising set of technologies that provides access to a large quantity of data through sensors. IoT enables users to visualize and monitor aspects of their environments that would otherwise be impossible manually. The ability to connect devices to the internet allows humans to have access to data in real-time. Today, there are standard web-based technologies that allow users to visualize IoT data on web browsers or apps. The cost of microcontrollers has gone down in recent years, and many communication mechanisms have emerged. This unit aims to introduce you to Web Development for IoT and related modern technologies like Blockchain and Digital twins. The objective is to increase your awareness of the role of IoT in our society and its potential that derives from increasing data-sharing activities. This unit also seeks to develop critical thinking while considering the Internet of Things and, based on practical field components, provide you with the opportunity to deploy your own IoT web applications.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

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


1.	explain the uses of sensor networks and the technologies used to build IoT.
2.	design, build and deploy efficient IoT web applications that are fit for purpose.
3.	determine appropriate web technologies and data formats for effective IoT communication
4.	effectively evaluate, process and visualise the data from sensors for a professional audience.

Requisites


REQUISITE TYPE	REQUISITES
Pre-requisite	KIT502

Alterations as a result of student feedback

Nil.

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	Quiz 1	Week 7	20 %	LO1, LO2, LO3, LO4
Assessment Task 2:	Assignment 1: IoT System	Week 8	25 %	LO1, LO2, LO3
Assessment Task 3:	Quiz 2	Week 13	20 %	LO1, LO2, LO3, LO4
Assessment Task 4:	Assignment 2: Analyzing and Reporting on Data	Week 14	25 %	LO2, LO3, LO4
Assessment Task 5:	Weekly work	Refer to Assessment Description	10 %	LO1, LO2, LO3, LO4

Assessment details

Assessment Task 1: Quiz 1

Task Description:

Quiz 1 will be held to examine the student's understanding of the unit's core knowledge. It will assess students' understanding of the theoretical aspects of the unit content, with some questions being program-oriented to evaluate students' problem-solving ability quickly. Quiz 1 will be in Week 7 Lecture Period (based on Weeks 1 - 6)

Task Length:

1-hour quiz 50 marks with 10-20 questions.

Due Date:

Week 7

Weight:

20 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Create programs based on knowledge of the IoT systems	LO1, LO2, LO3, LO4
2	Accurately answer questions related to theoretical knowledge of hardware used in IoT	LO1, LO2, LO3, LO4

Assessment Task 2: Assignment 1: IoT System

Task Description:

Assignment 1: IoT system

Students will build and test a small IoT system. They have to create a basic web page to view the system status.

Task Length:

8 weeks

Due Date:

Week 8

Weight:

25 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Design a multi-hardware IoT system	LO1, LO2, LO3
2	Design a web application for the IoT system	LO2, LO3

Assessment Task 3: Quiz 2

Task Description:

Quiz will be held to examine the student's understanding of the unit's core knowledge. It will assess students' understanding of the theoretical aspects of the unit content, with some questions being program-oriented to evaluate students' problem-solving ability quickly. Quiz 2 will be in Week 13 Lecture Period (based on Week 7 - 12)

Task Length:

1-hour quiz 50 marks with 10-20 questions.

Due Date:

Week 13

Weight:

20 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Demonstration of knowledge about IoT security	LO2, LO4
2	Demonstration of knowledge about advanced IoT applications	LO1, LO2, LO3, LO4

Assessment Task 4: Assignment 2: Analyzing and Reporting on Data

Task Description:

Assignment 2: Analyzing and Reporting on Data

Students can either run their assignment 1 system to collect data or find data sets from the internet. Once the data set is decided, they will run some given algorithms on it to generate some answers to research questions. These algorithms will then be incorporated in a web application for an IoT System.

Task Length:

5 weeks

Due Date:

Week 14

Weight:

25 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Design an interface for a multi-hardware IoT system	LO2, LO3, LO4
2	Execute algorithms for data analytics and present them in a web application	LO2, LO3, LO4

Assessment Task 5: Weekly work

Task Description:

Weekly Tutorials will engage students in small 2 hour activities where they will be taught the basics of hardware control and interfacing with web technologies. The students should attend all tutorials to be able to understand each individual piece of hardware and the nature of their performance.

Task Length:

2 hours

Due Date:

Refer to Assessment Description

Weight:

10 %

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.

Review of results and appeals

You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.

Required Resources

Required reading materials