Data Analysis for Smart Agriculture
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Revision as of 23:36, 21 September 2022 by Matteo (Talk | contribs) (Created page with "__FORCETOC__ The following are last-minute news you should be aware of ;-) * 22/09/2022: on Friday 23/09/2022 there will be no lecture * 12/09/2022: the course starts today...")
The following are last-minute news you should be aware of ;-)
* 22/09/2022: on Friday 23/09/2022 there will be no lecture * 12/09/2022: the course starts today!!!
Contents
Course Aim & Organization
Teachers
The course is composed of a blending of lectures and labs by the course teacher and a teaching assistant.
- Matteo Matteucci: the teacher from DEIB
- Filippo Renga: the teacher from DIG
- Riccardo Bertoglio: the teaching assistant
Course Program
Detailed course schedule
Lecture are:
* On Monday, in room 25.1.1, starts at 16:30 ends at 18:00 * On Friday, in room 25.1.4, starts at 14:30 ends at 16:00
A detailed schedule follows:
| Date | Day | Time | Room | Teacher | Topic |
| 12/09/2022 | Monday | 17:30-19:00 | 25.1.1 | Matteo Matteucci | Course Intro |
| 16/09/2022 | Friday | 14:30-16:00 | 25.1.4 | Filippo Renga | Smart Agrifood Scenario |
Course Evaluation
The course is intended to be a hands-on practical project course, students are expected to face a project "in group" and the project should
Course Slides
Here the slides used during classes
- [Course Intro] by Matteo Matteucci and Filippo Renga
- [Smart Agrifood Scenario] by Filippo Renga
- [Principles of Data Strategy] by Filippo Renga
