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== Day 3 == | == Day 3 == | ||
− | * 10:00- | + | * 10:00-12:00 Lecture: Introduction to Jupyter Notebooks, training an ML model based on a given data and the self-recorded data set on the PC |
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* 12:00-13:00 Lunch break | * 12:00-13:00 Lunch break | ||
− | * 13:00-15: | + | * 13:00-15:00 Hands-On: [[UBISS2024#Task 6: Getting Started with Jupyter Notebook|Task 6: Getting Started with Jupyter Notebook]] Installing Jupyter Notebook for Micropython, controlling LED, reading data, storing data |
+ | * 15:00-15:30 Hands-On: Project specification, Ideation on Project Ideas | ||
* 15:30-16:00 Coffee break | * 15:30-16:00 Coffee break | ||
− | * 16:00-16:30 Hands-On: Presentation | + | * 16:00-16:30 Hands-On: Presentation and discussion of project ideas, group forming (groups of 2 or 3) |
− | * 16: | + | * 16:30-17:00 Lecture: Introduction to ML Libraries (everywhereML) |
+ | * 17:00-18:00 Hands-On: [[UBISS2024#Task 7: Deploy Machine Learning Models|Task 7: Deploy Machine Learning Models]] Implementing a basic model using everywhereML | ||
== Day 4 == | == Day 4 == |