Difference between revisions of "Data Analysis for Smart Agriculture"

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(Course Slides)
(Detailed course schedule)
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|15/09/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=cbb9ae05c466fa1579c850c51b4863fd Course Intro]
 
|15/09/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=cbb9ae05c466fa1579c850c51b4863fd Course Intro]
 
|-
 
|-
|18/09/2023 || Monday || 16:30-18:00 || 25.1.4 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=a5f7a23f9698e91c2a734e63eb8f676f Principle of Data Strategy]
+
|18/09/2023 || Monday || 16:30-18:00 || 25.1.1 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=a5f7a23f9698e91c2a734e63eb8f676f Principle of Data Strategy]
 
|-
 
|-
 
|22/09/2023 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=79fc42fa1072dadd3a882dbab7187bdc Smart Agrifood Scenario]
 
|22/09/2023 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=79fc42fa1072dadd3a882dbab7187bdc Smart Agrifood Scenario]
 
|-
 
|-
|25/09/2023 || Monday || 16:30-18:00 || 25.1.4 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=9ed007711a59991ab4ae5819f879cf8b Lab of Data Strategy]
+
|25/09/2023 || Monday || 16:30-18:00 || 25.1.1 || Filippo Renga || [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=9ed007711a59991ab4ae5819f879cf8b Lab of Data Strategy]
 
|-
 
|-
 
|29/09/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [Preliminary Project Brainstorming]
 
|29/09/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [Preliminary Project Brainstorming]
 
|-
 
|-
|02/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=26bb6b514ecbcda4cccc2559479270bc Intro to Data Analysis (last year recording)]
+
|02/10/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=26bb6b514ecbcda4cccc2559479270bc Intro to Data Analysis (last year recording)]
 
|-
 
|-
 
|06/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Python and NumPy]
 
|06/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Python and NumPy]
 
|-
 
|-
|09/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Riccardo Bertoglio|| [Pandas]
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|09/10/2023 || Monday || 16:30-18:00 || 25.1.1 || Riccardo Bertoglio|| [Pandas]
 
|-
 
|-
 
|13/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=a1d2fc80ae2e7513eafe6e7b4af36f77 ML Intro and Linear Regression]
 
|13/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=a1d2fc80ae2e7513eafe6e7b4af36f77 ML Intro and Linear Regression]
 
|-
 
|-
|16/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=b2cc12a4ef5349e36cfc1f9e97364dd7 Regression]
+
|16/10/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci|| [https://politecnicomilano.webex.com/politecnicomilano/ldr.php?RCID=b2cc12a4ef5349e36cfc1f9e97364dd7 Regression]
 
|-
 
|-
 
|20/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Lab on Regression]
 
|20/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Lab on Regression]
 
|-
 
|-
|23/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci|| [Classification]
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|23/10/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci|| [Classification]
 
|-
 
|-
 
|27/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Lab on Classification]
 
|27/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio|| [Lab on Classification]
 
|-
 
|-
|30/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Filippo Renga|| [Data Valorization]
+
|30/10/2023 || Monday || 16:30-18:00 || 25.1.1 || Filippo Renga|| [Data Valorization]
 
|-
 
|-
 
|03/11/2023 || Friday || 14:30-16:00 || 7.1.2 || -- || -- No Lecture --
 
|03/11/2023 || Friday || 14:30-16:00 || 7.1.2 || -- || -- No Lecture --
 
|-
 
|-
|06/11/2023 || Monday || 16:30-18:00 || 25.1.4 || -- || -- No Lecture --
+
|06/11/2023 || Monday || 16:30-18:00 || 25.1.1 || -- || -- No Lecture --
 
|-
 
|-
 
|10/11/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [Project Brainstorming]
 
|10/11/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [Project Brainstorming]
 
|-
 
|-
|13/11/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci || [Clustering]
+
|13/11/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci || [Clustering]
 
|-
 
|-
 
|17/11/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio || [Lab on Clustering]
 
|17/11/2023 || Friday || 14:30-16:00 || 7.1.2 || Riccardo Bertoglio || [Lab on Clustering]
 
|-
 
|-
|20/11/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci || [Project Clinic]
+
|20/11/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci || [Project Clinic]
 
|-
 
|-
 
|24/11/2023 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [Project Clinic]
 
|24/11/2023 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [Project Clinic]
 
|-
 
|-
|27/11/2023 || Monday || 16:30-18:00 || 25.1.4 || Filippo Renga || [Project Clinic]
+
|27/11/2023 || Monday || 16:30-18:00 || 25.1.1 || Filippo Renga || [Project Clinic]
 
|-
 
|-
 
|01/12/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci || [Project Clinic]
 
|01/12/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci || [Project Clinic]
 
|-
 
|-
|04/12/2023 || Monday || 16:30-18:00 || 25.1.4 || Riccardo Bertoglio || [Project Clinic]
+
|04/12/2023 || Monday || 16:30-18:00 || 25.1.1 || Riccardo Bertoglio || [Project Clinic]
 
|-
 
|-
 
|08/12/2023 || Friday || 14:30-16:00 || 7.1.2 || -- || -- No Lecture --
 
|08/12/2023 || Friday || 14:30-16:00 || 7.1.2 || -- || -- No Lecture --
 
|-
 
|-
|11/12/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci || [Project Clinic]
+
|11/12/2023 || Monday || 16:30-18:00 || 25.1.1 || Matteo Matteucci || [Project Clinic]
 
|-
 
|-
 
|15/12/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci + Filippo Renga || [Project Checkpoint]
 
|15/12/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci + Filippo Renga || [Project Checkpoint]
 
|-
 
|-
|18/12/2023 || Monday || 16:30-18:00 || 25.1.4 || ALL || [Project Evaluation]
+
|18/12/2023 || Monday || 16:30-18:00 || 25.1.1 || ALL || [Project Evaluation]
 
|-
 
|-
 
|22/12/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [(Optional) Project Evaluation]
 
|22/12/2023 || Friday || 14:30-16:00 || 7.1.2 || ALL || [(Optional) Project Evaluation]

Revision as of 22:30, 17 October 2023


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

* 15/09/2023: 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 25.1.4, 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
15/09/2023 Friday 14:30-16:00 7.1.2 ALL Course Intro
18/09/2023 Monday 16:30-18:00 25.1.1 Filippo Renga Principle of Data Strategy
22/09/2023 Friday 14:30-16:00 7.1.2 Filippo Renga Smart Agrifood Scenario
25/09/2023 Monday 16:30-18:00 25.1.1 Filippo Renga Lab of Data Strategy
29/09/2023 Friday 14:30-16:00 7.1.2 ALL [Preliminary Project Brainstorming]
02/10/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci Intro to Data Analysis (last year recording)
06/10/2023 Friday 14:30-16:00 7.1.2 Riccardo Bertoglio [Python and NumPy]
09/10/2023 Monday 16:30-18:00 25.1.1 Riccardo Bertoglio [Pandas]
13/10/2023 Friday 14:30-16:00 7.1.2 Matteo Matteucci ML Intro and Linear Regression
16/10/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci Regression
20/10/2023 Friday 14:30-16:00 7.1.2 Riccardo Bertoglio [Lab on Regression]
23/10/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci [Classification]
27/10/2023 Friday 14:30-16:00 7.1.2 Riccardo Bertoglio [Lab on Classification]
30/10/2023 Monday 16:30-18:00 25.1.1 Filippo Renga [Data Valorization]
03/11/2023 Friday 14:30-16:00 7.1.2 -- -- No Lecture --
06/11/2023 Monday 16:30-18:00 25.1.1 -- -- No Lecture --
10/11/2023 Friday 14:30-16:00 7.1.2 ALL [Project Brainstorming]
13/11/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci [Clustering]
17/11/2023 Friday 14:30-16:00 7.1.2 Riccardo Bertoglio [Lab on Clustering]
20/11/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci [Project Clinic]
24/11/2023 Friday 14:30-16:00 7.1.2 Filippo Renga [Project Clinic]
27/11/2023 Monday 16:30-18:00 25.1.1 Filippo Renga [Project Clinic]
01/12/2023 Friday 14:30-16:00 7.1.2 Matteo Matteucci [Project Clinic]
04/12/2023 Monday 16:30-18:00 25.1.1 Riccardo Bertoglio [Project Clinic]
08/12/2023 Friday 14:30-16:00 7.1.2 -- -- No Lecture --
11/12/2023 Monday 16:30-18:00 25.1.1 Matteo Matteucci [Project Clinic]
15/12/2023 Friday 14:30-16:00 7.1.2 Matteo Matteucci + Filippo Renga [Project Checkpoint]
18/12/2023 Monday 16:30-18:00 25.1.1 ALL [Project Evaluation]
22/12/2023 Friday 14:30-16:00 7.1.2 ALL [(Optional) Project Evaluation]


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

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