Computing

Schedule and Deliverables

DeliverableValueFormatDeadline / DateLate deadline ECF deadline
Coursework100%A single .zip file containing PDF file report, source code & a compressed demo (video).   

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Any material submitted that does not meet format or submission guidelines, or falls outside of the submission deadline could be subject to a cap on your overall result or disqualification entirely.

(M30226)   Internet of Things Coursework

The goal of this coursework is to apply your knowledge and practical skills to design and build an IoT application.

The deliverables of the coursework consist three artifacts: A final report that details the design (70%). A demo of your application (a video recording) along with implementation source code (30%).

Your final report should address but is not limited to the following parts regarding your design:

Introduction: Define the application scenario and the problem — justify why an IoT solution is needed, propose your design and the main functionality, decompose the design into smaller tasks, and give a basic outline of what you proposed to implement. The main tasks and the logic flow should be well justified.

Details of the design: Include any tools, sensors, modules, protocols, platforms, pseudo code, and diagrams — anything that is necessary to clearly explain your IoT system/steps. You are free to go further beyond what you have been provided with for your practical exercises. You need to compare the useful components/sensors/modules before you adopt any of them for your design. Browse the Internet, look for more sensors, identify their operating/working conditions (e.g. power supply), and include them in your design. Describe the communication protocols and application protocols that you will use with detailed data flow and pseudo code. Even though some sensors/functions will not be implemented due to the limited resources, a consistent representation of them in data flow and pseudo code is expected across all stages. If you are considering using a commercial platform as a public broker/server, name the one you want to use and provide evidence of testing the platform. Besides, the technical issues, the cost of your design should be quantitatively evaluated. Justify all your choices for this part.

Implementation: You could implement only a part of your design. It is acceptable for you to have a sophisticated design but without an implementation of the entire design due to the limits on available tools or resources. Basic and advanced requirements for your implementation include:

  • The system functions without errors (basic)
  • Hardware components are well connected (basic)
  • The design/function logic is clear (basic)
  • The demo is self-explanatory and the code is clearly commented (basic)
  • Applying machine algorithms to enable sensory feedback to the project (advanced)

Discussion and conclusions: Summarize the main insights into your design and map your solutions to the defined scenario and problems. Discuss the potential pitfalls, advantages and disadvantages of your design and how your design could be improved. Identify clearly which part you implemented as a tangible output and why the rest are not implemented.

Grading

Grading will be based on the quality of the design (for example: originality, thoroughness, extent of analysis, justification), the clarity of the written report, and the implementation quality based on the demo and code. Ideally, you are encouraged to try something novel or apply ideas out of our workshops to the given problems. You can get a good grade for the design even if your innovative ideas do not work out well, as long as your final report shows evidence of extensive analysis and exploration, provides sound justification for your choices of modules / sensors / methods / platforms, and provide thoughtful reviews / reflections / comparisons on the existing solutions. For the implementation, you are asked to explain the code and logic in your demo (video).

Originality check

The design and implementation should be done all by yourself independently.

Your marks will be capped if the implementation has been proved to have not been done on your own.

The marking criteria below apply for both the design and implementation

●        Introduction 15%

  • Understanding of your application scenario and problem
    • Justification of the need of an IoT solution to your problem
    • Provide the motivation of your design and justification
    • Design decomposition into subsystems/submodules
    • Include your innovative thinking

●        Details of the design 35%

  • Clear description of the chosen solutions/tools for each subsystem/submodule
    • Justification behind the chosen solutions/tools that they are the most appropriate choice to the given scenario
    • Comparison with different modules/sensors/protocols that you may choose as alternatives
    • Clear reference of the tools/sensors, modules, protocols, platforms (where you found them)
    • Use pseudo code or code with syntax to demonstrate the functions in each subsystem/submodule (applicable to all subsystems/submodules including the ones not to be implemented)
    • Use flowchart/diagram to intuitively demonstrate the logic, data flow (control command + actuator signals) of your finalized design
    • The working conditions of your design
    • The design is both innovative and practical
    • Cost estimation of your design/implementation

●        Implementation of your design 30%

  • The implementation of the whole design or part of your design
    • The implementation is functioning well without errors
    • The hardware components are well connected without obvious pitfalls
    • The logic in your functions is clear during the demo
    • The code can be well explained by you in the demo
    • The implementation is not trivial or singly run on the code given to you in previous practicals.
    • The innovative part of the implementation including, but not limited to data fusion, human factor, user interface.

●        Discussion 15%

  • Summary of your design
    • Map your solutions to the given scenario and problem
    • Potential pitfalls, advantages, disadvantages
    • Alternative solutions and suggestions
    • Future work/direction to improve the current solutions

●        References 5%

  • Including conference papers, journal papers, and URLs for any external code or data used.

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