• [LOz] Design and develop internet of things solutions through the selection and evaluation of relevant technical literature, selection and use of relevant laboratory equipment and simulation software

1. Module code & title

ELE3006M- Internet of Things and Smart Electronics

2.  Assessed

learning outcomes

• [LO1] Apply knowledge of internet of things and smart electronics to the design and deployment of a range of consumer electronic solutions.
• [LO2] Design and develop internet of things solutions through the selection and evaluation of relevant technical literature, selection and use of relevant laboratory equipment and simulation software recognising their limitations.
• [LO3] Evaluate how changes within the internet of things sector impact on design methodologies and demonstrate principles of secure data storage and analysis.
• [LO4] Demonstrate an ability in producing high quality technical reports and academic papers and communicate with both technical and non-technical audiences.
• [LO5] Create and maintain appropriate risk assessments by identifying, evaluating, and mitigating various risks as required to execute and complete a project.

3. Assessment title

Assessment < IoT Project Design and Implementation >

4. Contribution to final module mark (%)

65%

5. Description of assessment task

This is Assessment < IoT Project Design and Implementation > and is an

<individual> assignment.

You are required to complete the Project, an Academic Paper and participate on a Project Exhibition as detailed below:

Project:

It challenges you to design an IoT prototype product (hardware/software) within a tightly constrained set of software tools and hardware components. The major objective is for you to develop proficiency with a contemporary programming language and use it to programme a state- of-the-art micro-controller to interface with sensors/actuators, a display, and IoT platforms, as required. Apart from interface and size issues, IoT consumer electronics present some of the toughest design and engineering challenges in all of the technology.

Academic Paper:

You are required to write a short high quality Academic paper on the project (5 pages, IEEE conference style template) and must use Latex. As part of the academic paper, you should briefly examine how changes within the IoT domain impact on design methodologies specifically to your project. Data processing and analysis are key aspect of your IoT prototype, and you should demonstrate feasible security features as well as data processing analysis.

Project Exhibition:

To assess the project, you are also required to participate on a Project Exhibition. You will be required to create a short presentation (5 slides maximum) that highlights the key aspects of your project. During the presentation, you will also give a physical demonstration of your project and hold a high-level technical discussion.

6. Assessment submission instructions

This submission is: Individual work (delete as appropriate)

All work should be submitted by the deadline stated. Any late submissions will be subject to a lateness penalty in line with the University policy.

In cases of technical issues please email your assessment to: sepssubmissions@lincoln.ac.uk by the above deadline. Please include the module code and coursework title in the email subject.

Please note that links will NOT be accepted under any circumstances.

7. Date for return of mark and feedback

Please see the Hand In Dates.xls spreadsheet.

Note: all marks awarded are provisional until confirmed by the Board of Examiners.

8. Feedback format

A feedback rubric will be uploaded to Blackboard GradeCentre 15 working days following the coursework submission. Marks will be available in Gradecentre at this time

9. Use of Artificial Intelligence (AI) in this assessment

See box 11.

10. Marking criteria for assessment

A Criterion Reference Grid (CRG) is used to evaluate your learning against a set of pre-defined criteria.

Please note that all work is assessed according to the University of Lincoln Management of Assessment Policy and that marks awarded are provisional on Examination Board decisions which take place at the end of the Academic Year.

11. Important Information on Dishonesty, Plagiarism and AI Tools

University of Lincoln Regulations define plagiarism as `the passing off of another person`s thoughts, ideas, writings or images as one`s own…’. Examples of plagiarism include the unacknowledged use of another person`s material whether in original or summary form. Plagiarism also includes the copying of another student`s work`. Plagiarism is a serious offence and is treated by the University as a form of academic dishonesty. For more information on examples of Academic Offences, please see the Academic Offence Guidance. 

The use of AI tools: Not Permitted (delete as appropriate)

Please note, if you use AI tools in the production of assessment work where it is not permitted, then it will be classed as an academic offence and treated by the University as a form of academic dishonesty.

Students are directed to the University Regulations for details of the procedures and penalties involved.

For further information, see www.plagiarism.org