Difference between revisions of "Data Analysis for Smart Agriculture"

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|16/09/2024 || Monday || 16:30-18:00 || 25.1.5 || ALL || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=fb4d321bc2e233c3f022d35881f903bf Course Intro]
 
|16/09/2024 || Monday || 16:30-18:00 || 25.1.5 || ALL || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=fb4d321bc2e233c3f022d35881f903bf Course Intro]
 
|-
 
|-
−
|20/09/2024 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [Principle of Data Strategy]
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|20/09/2024 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=d43307bf17ad62febc945f1a2f775edd Principle of Data Strategy]
 
|-
 
|-
−
|23/09/2024 || Monday || 16:30-18:00 || 25.1.5 || Filippo Renga|| [Data Valorization]
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|23/09/2024 || Monday || 16:30-18:00 || 25.1.5 || Filippo Renga|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=9ed007711a59991ab4ae5819f879cf8b Data Valorization]
 
|-
 
|-
−
|27/09/2024 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga|| [Introduction to projects and examples from past years]
+
|27/09/2024 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga|| Introduction to projects and project groups
 +
|-
 +
|30/09/2024 || Monday || --- || --- || Students|| Use case search ...
 +
|-
 +
|04/10/2024 || Friday || 14:30-16:00 || 7.1.2 || Mirko Usuelli|| [https://politecnicomilano.webex.com/webappng/sites/politecnicomilano/recording/047e8acd0f5243b1bff38995bb782ec2/playback Intro to python]
 +
|-
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|07/10/2024 || Monday || 16:30-18:00 || 25.1.5 || Mirko Usuelli|| [https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/playback/41da2c8c3e02461ba8606bfeaf01fac2 Intro to Panda] and [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=33ab5a6c5d1fdf055ed1cb1e02773ba9 Data Cleaning]
 +
|-
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|11/10/2024 || Friday || 14:30-16:00 || 7.1.2 || Mirko Usuelli|| Data Clinic and Project Clinic
 +
|-
 +
|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 and Data Sources
 +
|-
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|25/10/2024 || Friday || 14:30-16:00 || 7.1.2 || Mirko Usuelli|| [https://politecnicomilano.webex.com/weblink/pmtg/adaf70e54fcc403590f519cdd04c955b Regression with Scikit]
 +
|-
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|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]
 +
|-
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|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 || [Clustering with Scikit]
 +
|-
 +
|25/11/2024 || Monday || 16:30-18:00 || 25.1.5 || Matteo Matteucci + 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
 +
|-
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|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 || Matteo Matteucci + Filippo Renga + Mirko Usuelli || Exam
 
|-
 
|-
 
|}
 
|}
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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
 +
* [[Media:DASA_2024_2025_Data_Valorization.pdf |[2024/2025] Data valorization]] by Filippo Renga
 +
* [[Media:DASA_2024_2025_Projects.pdf |[2024/2025] Introduction to projects]] and [[Media:DASA_2024_2025_Groups.pdf |groups]] by Filippo Renga
  
−
Last year material
+
Last year material for flipped classes!!!
−
* [[Media:DASA_2023_2024_Data_Strategy.pdf |[2023/2024] Principles of Data Strategy]] by Filippo Renga
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<!-- * [[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  
+
−
* [[Media:DASA_2023_2024_Data_Valorization.pdf |[2023/2024] Data valorization]] by Filippo Renga
+
 
* [[Media:DASA_2023_2024_Data_Analysis.pdf |[2023/2024] Intro to Data Analysis]] by Matteo Matteucci
 
* [[Media:DASA_2023_2024_Data_Analysis.pdf |[2023/2024] Intro to Data Analysis]] by Matteo Matteucci
 
* [[Media:DASA_2023_2024_Regression.pdf |[2023/2024] Intro to Regression]] by Matteo Matteucci
 
* [[Media:DASA_2023_2024_Regression.pdf |[2023/2024] Intro to Regression]] by Matteo Matteucci
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You can find here the [https://polimi365-my.sharepoint.com/:f:/g/personal/10104160_polimi_it/EtBdrLCOiXtAgNeKY8ITy1EBwGD2biBGyYyCEdmqVV--Nw?e=ipQVhH Material for practicals!]
 
You can find here the [https://polimi365-my.sharepoint.com/:f:/g/personal/10104160_polimi_it/EtBdrLCOiXtAgNeKY8ITy1EBwGD2biBGyYyCEdmqVV--Nw?e=ipQVhH Material for practicals!]
 +
 +
<!--
 +
https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/f727748222e9103bb3fe005056815a1e/playback?from_login=true
 +
https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/56324a504bf2103cb6afba6a9e22d3c3/playback
 +
https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/d95903004e5e103cbff08649325104d1/playback
 +
https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/55a063f753df103cbe77bada9b8da9ca/playback
 +
https://politecnicomilano.webex.com/recordingservice/sites/politecnicomilano/recording/cae5cd076468103c92ef1a396010afd2/playback
 +
-->
  
 
===Some data sources===
 
===Some data sources===

Latest revision as of 18:17, 18 November 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 project groups
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 Mirko Usuelli Intro to Panda and Data Cleaning
11/10/2024 Friday 14:30-16:00 7.1.2 Mirko Usuelli Data Clinic and Project Clinic
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 and Data Sources
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 [Clustering with Scikit]
25/11/2024 Monday 16:30-18:00 25.1.5 Matteo Matteucci + 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 Matteo Matteucci + 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 for flipped classes!!!

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

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