Difference between revisions of "Data Analysis for Smart Agriculture"

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(Detailed course schedule)
(Course Slides)
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Here the slides used during classes  
 
Here the slides used during classes  
 
* [[Media:DASA_2024_2025_Course_Intro.pdf |[2024/2025] Course Intro]] by Matteo Matteucci and Filippo Renga
 
* [[Media:DASA_2024_2025_Course_Intro.pdf |[2024/2025] Course Intro]] by Matteo Matteucci and Filippo Renga
 +
* [[Media:DASA_2024_2025_Data_Strategy.pdf |[2024/2025] Principles of Data Strategy]] by Filippo Renga
  
 
Last year material
 
Last year material
* [[Media:DASA_2023_2024_Data_Strategy.pdf |[2023/2024] Principles of Data Strategy]] by Filippo Renga
 
 
* [[Media:DASA_2023_2024_SmartAgriFood.pdf |[2023/2024] Smart Agrifood Scenario]] by Filippo Renga  
 
* [[Media:DASA_2023_2024_SmartAgriFood.pdf |[2023/2024] Smart Agrifood Scenario]] by Filippo Renga  
 
* [[Media:DASA_2023_2024_Projects.pdf |[2023/2024] Introduction to projects]] by Filippo Renga  
 
* [[Media:DASA_2023_2024_Projects.pdf |[2023/2024] Introduction to projects]] by Filippo Renga  

Revision as of 13:53, 24 September 2024


The following are last-minute news you should be aware of ;-)

* 16/09/2024: The course starts today!


Course Aim & Organization

Teachers

The course is composed of a blending of lectures and labs by the course teachers and a teaching assistant.

Course Program

Detailed course schedule

Lecture are:

* On Monday, in room 25.1.5, starts at 16:30 ends at 18:00
* On Friday, in room 7.1.2, starts at 14:30 ends at 16:00

A detailed schedule follows:

Date Day Time Room Teacher Topic
16/09/2024 Monday 16:30-18:00 25.1.5 ALL Course Intro
20/09/2024 Friday 14:30-16:00 7.1.2 Filippo Renga Principle of Data Strategy
23/09/2024 Monday 16:30-18:00 25.1.5 Filippo Renga [Data Valorization]
27/09/2024 Friday 14:30-16:00 7.1.2 Filippo Renga [Introduction to projects and examples from past years]
30/09/2024 Monday --- --- Students Use case search ...
04/10/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli [Intro to python]
07/10/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Flipped Class on Data Sources
11/10/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli [Intro to Panda]
14/10/2024 Monday --- --- Students Use case search ...
18/10/2024 Friday --- --- Students Use case search ...
21/10/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Flipped Class on Regression
25/10/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli [Regression with Scikit]
28/10/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci + Filippo Renga Project presentations
01/11/2024 Friday --- --- Students Use case search ...
04/11/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Flipped Class on Classification
08/11/2024 Friday 14:30-16:00 7.1.2 Filippo Renga SAL on Data Sources
11/11/2024 Monday --- --- Students Use case search ...
15/11/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli [Classification with Scikit]
18/11/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Flipped Class on Clustering
22/11/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli [Classification with Clustering]
25/11/2024 Monday 16:30-18:00 25.1.5 Filippo Renga Project clinic
29/11/2024 Friday 14:30-16:00 7.1.2 Matteo Matteucci SAL on Processing
02/12/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Project clinic
06/12/2024 Friday 14:30-16:00 7.1.2 Filippo Renga + Mirko Usuelli Project clinic
09/12/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Project clinic
13/12/2024 Friday 14:30-16:00 7.1.2 Filippo Renga + Mirko Usuelli SAL on Data Value
16/12/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci Project clinic
20/12/2024 Friday 14:30-16:00 7.1.2 Filippo Renga + Mirko Usuelli Exam


Course Evaluation and Project Clinics

The course is intended to be a hands-on practical project course, students are expected to face a project "in group".

During project clinics meeting students have the opportunity to work together on the projects and/or to talk with the teachers discussing advancements and follow-ups.


In this document you can book a slot to talk with a professor. Please consider we will have 25-30 minutes slots, we expect on average 3 to 4 teams per day.

You can always write to us directly (keep all teachers cced) in case you need and express meeting and there are no slots available.

Course Slides

Here the slides used during classes

Last year material

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