Difference between revisions of "Data Analysis for Smart Agriculture"

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|09/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Riccardo Bertoglio|| [Pandas]
 
|09/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Riccardo Bertoglio|| [Pandas]
 
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|13/10/2023 || Friday || 14:30-16:00 || 7.1.2 || Matteo Matteucci|| [Data Sources]
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|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]
 
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|16/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci|| [Regression]
 
|16/10/2023 || Monday || 16:30-18:00 || 25.1.4 || Matteo Matteucci|| [Regression]

Revision as of 15:53, 13 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 -- -- No Lecture --
10/11/2023 Friday 14:30-16:00 7.1.2 ALL [Project Brainstorming]
13/11/2023 Monday 16:30-18:00 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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 25.1.4 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

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