Assessment Brief

Submission and feedback dates

Submission deadline: Before 14:00 on 09/05/2024

Eligible for 48 hour late submission window

Marks and Feedback due on: 06/06/2024

N.B. all times are 24-hour clock, current local time (at time of submission) in the UK

Submission details

Module title and code: UFCFLJ-15-M Linked, Open Data and the Internet of Things

Assessment type: Project

Assessment title: Design and prototype a smart thing

Assessment weighting: 100% of total module mark

Size or length of assessment: 2000 words

Module learning outcomes assessed by this task:

1. Implement and evaluate Ontology Web Language (OWL) based ontologies using industry standard tools and create Resource Description Framework (RDF) models conforming to these.

2. Contrast and critique the uses of linked, open data in industry and be fully conversant with best practices in enabling Linked Open Data.

3. Create semantic models in an appropriate language and using appropriate tools.

4. Create optimised semantic web queries to extract data from the semantic web and subsequently visualise results in novel situations.

5. Synthesise evidence on technical challenges, developments and enabling technologies surrounding the development of the Internet of Things (IoT).

Completing your assessment

What am I required to do on this assessment?

This is an individual assignment requiring you to design and build a smart thing, a sensor node, using an Arduino and sensor(s) of your choosing. Data recorded over a representative period of time will be uploaded to ThingSpeak where it can be visualised. You will also add suitable “thing description” metadata to augment the data. This will be accompanied by a 2000 word write-up, explaining your approach and your reflections upon it.

 

Your report will cover the following points:

· Include a cover page with your name and student ID.

· Describe the hardware design of a smart thing that you have constructed, using the Arduino and a specific sensor (or sensors).

· Include your code in an appendix to your report.

· Upload a representative set of data to the cloud, using ThingSpeak (MathWorks, Inc, 2021), and share a link to your channel.

· You will use the W3C Web of Things (WoT) JSON-LD Thing Description (W3C, 2020) to create channel metadata.

· Your report should include data visualisations of your ThingSpeak channel.

· Use reflective writing.

· Use UWE Harvard referencing throughout.

 

Sharing your ThingSpeak channel

1. Create your channel at thingspeak.com

2. In Channels > MyChannel > select your channel

3. On the ‘Sharing’ tab select “Share channel view with everyone.”

4. Open the ‘public view’ tab

5. Copy the URL in the browser address bar into your report.

 

Where should I start?

You will create your own IoT smart sensor node, upload your data to the cloud, then make it available as Linked Open Data using suitable metadata.

What do I need to do to pass?

The pass mark is 50%.

How do I achieve high marks in this assessment?

Students will be assessed on their ability to express their design in a report of approximately 2,000 words excluding references. References should be provided and presented in UWE Harvard style. Students will be assessed on their ability to explain their design choices clearly and succinctly.

How does the learning and teaching relate to the assessment?

The practical sessions will give you space to develop your smart thing hardware, software, and metadata.

What additional resources may help me complete this assessment?

You will find relevant references in Blackboard's Reading Lists.

What do I do if I am concerned about completing this assessment?

UWE Bristol offer a range of Assessment Support Options that you can explore through this link, and both Academic Support and Wellbeing Support are available.

For further information, please see the Academic Survival Guide.

How do I avoid an Assessment Offence on this module? ²

Use the support above if you feel unable to submit your own work for this module.

Avoid collusion, and explain things in your own words (not those of a machine).

Marks and Feedback

Your assessment will be marked according to the following marking criteria.

· Hardware design of a smart thing that you have constructed, using Arduino and sensor(s) (20%)

· Clear, commented Arduino software (20%).

· Your data will be available in the cloud, in a ThingSpeak channel (20%).

· Your thing description metadata, added as ThingSpeak metadata (20%).

· Clarity of your write-up and reflections (20%).

You can use these to evaluate your own work before you submit.

INDIVIDUAL	Needs work (0-49%)	Pass (50-59%)	Merit (60-69%)	Excellent (70-100%)
Hardware (20%)	Little or no attempt at describing the hardware design.	Reasonable hardware design, no pictures.	Good explanation of your hardware design, including pictures.	Great introduction and background. Excellent description of your hardware design.
Software (20%)	No link to software, poor designed or uncommented.	Poor software design or weak comments. Little explanatory text.	Good software and comments. Good description.	Software design evidencing thinking outside the box.
Data (20%)	No data available.	Some data available, but small unrepresentative sample. Little explanatory text.	Good data available with good visualisations. Good accompanying explanation.	Representative data from multiple related sensors. Great explanatory text.
Metadata (20%)	No metadata available, or formatting issues.	Reasonable metadata available on ThingSpeak, no formatting problems. Perhaps incomplete.	Good metadata thing description, fully described. Good accompanying explanation of the underlying RDF model.	Excellent thing description describing your smart thing and its sensors, published on ThingSpeak.
Write-up (20%)	Poorly explained, or way off word count.	Reasonable explanatory text, but weak on reflection.	Good explanatory text throughout, and structured reflection.	Excellent explanatory text and Harvard referencing.