This Do-it-Yourself (DIY) course is designed to provide a basic grounding of the Internet of Things (IoT).
- The aim is to equip students with the Data Science skills in order to complete basic IoT-scenario's.
- Providing students with templates and a data-toolkit (code), which can be implemented through popular single board microcontrollers (Arduino / Raspberry Pi).
- Use of Generative AI [Gen-AI] such as Co-Pilot or ChatGPT is encouraged. It's important to make sure that other people are aware that these technologies were used. This can be done by including references or citations in the code or documentation, or by making a statement in the README file or other documentation that the project relies on these technologies. Additionally, it's also a good practice to include information about the limitations and potential biases of the technology in the documentation or code comments.
See: https://github.com/robvdw/CMIDAT01K-DATA-SCIENCE-for-IOT/blob/master/Required_Hardware_2021.md
A hands-on introductory course exploring the Internet of Things form a (Human-Centered) Data Science point of view.
Creating your own IoT data pipeline
- Become familiar with Data Science concepts surrounding IoT applications
- Prepare a (Rapid) prototype for an Internet of Things (IoT) data-pipeline scenario's
- Learn to design and develop simple lightweight IoT-prototypes
- Learn to report on IoT projects (inclusive prototypes + data-pipelines).
This course teaches you the basics of electronics and GPIO interfacing with Python. You will build and experiment with simple electronic circuits that are controlled using Python, and combine this learning to build a simple yet complete internet-controllable IoT application with aid of Data Science concepts and IoT middle-ware such as Thingspeak and dweet.io.
The content of each lesson will become available each week as a PDF document via:
https://github.com/robvdw/CMIDAT01K-DATA-SCIENCE-for-IOT/tree/master/Lessons
Locatie: Wijnhaven 103/105 lokaal:WD 00.034
START dinsdag 14 februari 2023
| lesson | week OP3 | content |
|---|---|---|
| Lesson 01 | week 02 | Discovering the IoT Data Science Domain |
| Lesson 02 | week 04 | Defining project requirements |
| Lesson 03 | week 05 | Learn to write code |
| Lesson 04 | week 06 | Data Science: How to start your own IoT Project |
| Lesson 05 | week 07 | IoT Platforms & MiddleWare |
| Lesson 06 | week 08 | Core IoT Concepts + setting-up your IoT-device |
| Lesson 07 | week 09 | Explaining Grading + Summary + Q & A |
| --------- | week 08/09 | Self study & Project Completion + een-op-een feedback op verzoek via Teams |
- A working prototype that includes software (code), hardware and electronics elements.
- Code (commented) for the application
- Documentation of the project (contributed to a personal GitHub Repository).
- An online demo (video or IoT Platform implementation) of the completed IoT data-pipeline/project.
DEADLINE ===> week 10 OP03 (donderdag 01 februari 2024) collegejaar 2022-2023 <==== OPLEVERING VIA OPDRACHTEN in BRIGHTSPACE CMIDAT01K-2023-VT-OP2 zoals zal worden gecomuniceerd via E-mail en via BrightSpace
This course wil be graded according to the rules and defintions as oulined in:
For those who want to keep up with novel delelopments within the Data Science domain see my Medium.com Blog: https://robfvdw.medium.com