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Curricular information is subject to change
On completion of this module students should be able to:
- Demonstrate an understanding of the principles of IoT enabled Agri-Food Production
- Understand the principles of how multisource data is acquired, interpreted, processed and integrated in IoT Systems
- Propose and develop a cloud based IoT sensor that integrates multisource data to create a virtual Agricultural IoT system
Student Effort Type | Hours |
---|---|
Lectures | 10 |
Tutorial | 6 |
Computer Aided Lab | 8 |
Specified Learning Activities | 48 |
Autonomous Student Learning | 52 |
Total | 124 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: A report on the development, objectives, methodology and results of a cloud based IoT sensor that integrates multisource data to create a virtual Agricultural IoT system. |
Week 9 | n/a | Graded | No | 40 |
Presentation: Oral presentation to include objectives and methodology needed to demonstrate the final assignment's Agricultural IoT system. | Week 11 | n/a | Graded | No | 10 |
Class Test: Examination of knowledge related outcomes | 2 hour End of Trimester Exam | n/a | Graded | Yes | 50 |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Feedback individually to students, post-assessment
Pre-and post feedback on assignments and presentations will be provided throughout the semester
Name | Role |
---|---|
Dr Declan Delaney | Lecturer / Co-Lecturer |
Professor Kevin McDonnell | Lecturer / Co-Lecturer |
Online Learning | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Mon 13:00 - 14:50 |
Online Learning | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 15:00 - 15:50 |