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Coursework Specification – Module Details
| Module Code |
UFCFLJ-15-M |
| Module Title |
Linked, Open Data and the Internet of Things
|
| Year |
|
| Component/Element Number |
B/CW1 |
| Total number of assessments for this module |
2 |
| Weighting |
50% |
| Total Assignment Time |
40 hours |
| Element Description |
Coursework (2000 words)
|
Contents
Contents
Module Details...................................................................................... 1
Dates.................................................................................................. 1
Feedback............................................................................................. 1
Contents...............................................................................................2
Section 1: Overview of Assessment...........................................................3
Section 2: Task Specification....................................................................3
Section 3: Deliverables............................................................................4
Section 4: Marking Criteria...................................................................... 4
Section 5: Feedback mechanisms............................................................. 4
Bibliography...........................................................................................6
Section 1: Overview of Assessment
This assignment assesses the following module learning outcomes:
- Consuming and visualizing IoT sensor node data.
- Ontological modeling for the web of things
This individual assignment is worth 50% of the overall mark for the module.
You will 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.
This coursework will demonstrate your ability to work practically with hardware, software, and metadata.
You will submit your coursework via Blackboard by the due date. The assignment is described in more detail in section 2.
All the technologies that you will need for your coursework will be explained during the practical sessions.
If you have questions about this assignment, please post them to the discussion board on Blackboard.
Section 2: Task Specification
The Approach to Citizen sensing (bristolapproach.org, 2018) is about empowering people to design and build their
own smart sensors using cheap open hardware and free software platforms. Sensor data is often lost in cyberspace,
so we aim to capture information about the data being collected, and create connections between different datasets.
This coursework is about creating your own IoT smart sensor node, uploading your data to the cloud, and making it
available as Linked Open Data using suitable metadata.
Your report will cover the following points:
-
Describe the hardware design of a smart thing that you have constructed, using the
Arduino and a specific sensor (or sensors).
- Share your software on the Arduino Create Web Editor.
- 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.
The practical sessions will give you space to develop your smart thing hardware, software, and metadata
Section 3: Deliverables
Students will be assessed on their ability to express their design in a report of
approximately 2,000 words excluding references. This should be written in accordance with the
word count policy http://www1.uwe.ac.uk/aboutus/policies.aspx assuming a ±10% tolerance. Any references should be
presented in UWE Harvard style. Students will be assessed on their ability to explain their design choices clearly
and succinctly.
Sharing your Arduino Create Web Editor code.
- Create a sketch containing your code in the Web Editor
-
Select Sketchbook in the menu to the left > Click on the pull-down menu next to the sketch name >
Share Sketch… > change the visibility to public
3. Copy the link into your report.
Sharing your ThingSpeak channel
- Create your channel at thingspeak.com
- In Channels > MyChannel > select your channel
- On the ‘Sharing’ tab select “Share channel view with everyone.”
- Open the ‘public view’ tab
5. Copy the URL in the browser address bar into your report.
Section 4: Marking Criteria
Marks will be awarded according to the extent to which you demonstrate the following (weightings shown in brackets):
-
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 reflection (20%).
Section 5: Feedback mechanisms
Formative feedback will be provided if submitted well before the final deadline.
Appendix 1 – Individual Marking Criteria
|
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.
|
The quoted price covers up to
3000 words
.
For custom requirements, please use the options below:
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