AI & IoT Training Workshop – Mini Project Task
AI & IoT Training Workshop – Mini Project Task
As part of the One-Day Training Workshop on AI and IoT Education: Concepts, Teaching Practices, and Future Directions for a Low-Carbon Future, participants are required to complete a short practical Python coding assignment.
The purpose of this assignment is to assess participants’ understanding of the concepts and practical skills introduced during the workshop. Participants will complete the assigned programming tasks using Python and submit their completed work as a Python (.py) file.
The assignment is intended to encourage participants to translate the knowledge gained during the training into practical application.
Instructions
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Carefully review all coding tasks provided by the trainer.
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Complete the assigned tasks using Python.
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Ensure that your code runs correctly and produces the required output.
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Add brief comments within your code where necessary to explain important steps or logic.
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Combine all assigned tasks into one Python file (
.py), unless otherwise instructed by the trainer. -
Name your file using the following format:
FullName_AI_IoT_Assignment.py -
Upload the completed
.pyfile through the assignment submission section on this website. -
Please review and test your code before submitting the final file.
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Only the final submitted file will be considered for assessment.
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Participants are expected to submit their own work and demonstrate their understanding of the concepts covered during the training.
How You'll Be Graded
The assignment will be graded out of 100 marks according to the following criteria:
| Assessment Criterion | Weight |
|---|---|
| Correctness and functionality of the code | 40% |
| Application of concepts covered during the training | 25% |
| Code structure, readability, and organization | 15% |
| Appropriate use of comments and explanation of logic | 10% |
| Completion of all assigned tasks and adherence to instructions | 10% |
| Total | 100% |
Passing Requirement
Participants must achieve a minimum score of 60% to successfully pass the assignment.
60% and above: Pass
Below 60%: Not Passed
Participants are encouraged to focus not only on producing working code but also on demonstrating a clear understanding of the concepts and techniques introduced during the workshop.
