Data Analysis for Smart Agriculture
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The following are last-minute news you should be aware of ;-)
* 11/10/2022: Change in the time of 14/10/2022 lecture!! * 09/10/2022: New slides published and links to datasets * 30/09/2022: Detailed final calendar published ... minor changes are expected * 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 |
19/09/2022 | Monday | 16:30-18:00 | 25.1.1 | Filippo Renga | Principles of Data Strategy |
23/09/2022 | Friday | 14:30-16:00 | -- | -- | -- No Lecture -- |
26/09/2022 | Monday | 16:30-18:00 | 25.1.1 | Filippo Renga | Lab on Data Strategy |
30/09/2022 | Friday | 14:30-16:00 | 25.1.4 | Matteo Matteucci | Intro to data analysis |
03/10/2022 | Monday | 16:30-18:00 | 25.1.1 | Riccardo Bertoglio | Python and NumPy |
07/10/2022 | Friday | 14:30-16:00 | 25.1.4 | Riccardo Bertoglio | Pandas |
10/10/2022 | Monday | 16:30-18:00 | 25.1.1 | Matteo Matteucci | Data sources |
14/10/2022 | Friday | 13:30-15:00 | 25.1.4 | Matteo Matteucci | Regression |
17/10/2022 | Monday | 16:30-18:00 | 25.1.1 | Riccardo Bertoglio | Regression lab |
21/10/2022 | Friday | 14:30-16:00 | 25.1.4 | Matteo Matteucci | Classification |
24/10/2022 | Monday | 16:30-18:00 | 25.1.1 | Matteo Matteucci | Clustering |
28/10/2022 | Friday | 14:30-16:00 | 25.1.4 | Riccardo Bertoglio | Classification lab |
31/10/2022 | Monday | 16:30-18:00 | 25.1.1 | -- Holidays -- | -- Holidays -- |
04/11/2022 | Friday | 14:30-16:00 | 25.1.4 | Riccardo Bertoglio | Clustering lab |
07/11/2022 | Monday | 16:30-18:00 | 25.1.1 | -- No lecture -- | -- No lecture -- |
11/11/2022 | Friday | 14:30-16:00 | 25.1.4 | Matteo Matteucci + Filippo Renga + Riccardo Bertoglio | Project brainstorming |
14/11/2022 | Monday | 16:30-18:00 | 25.1.1 | Filippo Renga | Project clinic |
18/11/2022 | Friday | 14:30-16:00 | 25.1.4 | Matteo Matteucci | Project clinic |
21/11/2022 | Monday | 16:30-18:00 | 25.1.1 | Filippo Renga | Data valorization |
25/11/2022 | Friday | 14:30-16:00 | 25.1.4 | Filippo Renga | Project clinic |
28/11/2022 | Monday | 16:30-18:00 | 25.1.1 | Matteo Matteucci | Project clinic |
02/12/2022 | Friday | 14:30-16:00 | 25.1.4 | Riccardo Bertoglio | Project clinic |
05/12/2022 | Monday | 16:30-18:00 | 25.1.1 | Riccardo Bertoglio | Project clinic |
09/12/2022 | Friday | 14:30-16:00 | 25.1.4 | -- Holidays -- | -- Holidays -- |
12/12/2022 | Monday | 16:30-18:00 | 25.1.1 | Matteo Matteucci + Filippo Renga | Project Check |
16/12/2022 | Friday | 14:30-16:00 | 25.1.4 | Matteo Matteucci + Riccardo Bertoglio | Project clinic |
19/12/2022 | Monday | 16:30-18:00 | 25.1.1 | Matteo Matteucci + Riccardo Bertoglio | Project evaluation |
23/12/2022 | Friday | 14:30-16:00 | 25.1.4 | ... | ... |
Course Evaluation
The course is intended to be a hands-on practical project course, students are expected to face a project "in group" ... more details will follow soon
Course Slides
Here the slides used during classes
- [2022/2023] Course Intro by Matteo Matteucci and Filippo Renga
- [2022/2023] Smart Agrifood Scenario by Filippo Renga
- [2022/2023] Principles of Data Strategy by Filippo Renga
- [2022/2023] Intro to Data Analysis by Matteo Matteucci
- [2022/2023] Intro to Regression by Matteo Matteucci
- [2022/2023] Intro to Classification by Matteo Matteucci
- [2022/2023] Intro to Clustering by Matteo Matteucci
- [2022/2023] Data Valorization by Filippo Renga
You can find here the Material for practicals!
Some data sources
The following are some links to data sources which might become handy when working on the projects