Difference between revisions of "Data Analysis for Smart Agriculture"

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(Detailed course schedule)
(Detailed course schedule)
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|Date || Day || Time || Room || Teacher || Topic
 
|Date || Day || Time || Room || Teacher || Topic
 
|-
 
|-
|16/09/2024 || Monday || 16:30-18:00 || 25.1.5 || ALL || [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]
 
|20/09/2024 || Friday || 14:30-16:00 || 7.1.2 || Filippo Renga || [Principle of Data Strategy]

Revision as of 21:30, 16 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]


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