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Revision as of 21:13, 16 September 2024
The following are last-minute news you should be aware of ;-)
* 16/09/2024: The course starts today!
Contents
Course Aim & Organization
Teachers
The course is composed of a blending of lectures and labs by the course teachers and a teaching assistant.
- Matteo Matteucci: the teacher from DEIB
- Filippo Renga: the teacher from DIG
- Mirko Usuelli: the 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A detailed OUTDATED schedule follows:
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
- [2023/2024] Course Intro by Matteo Matteucci and Filippo Renga
- [2023/2024] Principles of Data Strategy by Filippo Renga
- [2023/2024] Smart Agrifood Scenario by Filippo Renga
- [2023/2024] Introduction to projects by Filippo Renga
- [2023/2024] Data valorization by Filippo Renga
- [2023/2024] Intro to Data Analysis by Matteo Matteucci
- [2023/2024] Intro to Regression by Matteo Matteucci
- [2022/2023] Intro to Classification by Matteo Matteucci
- [2022/2023] Intro to Clustering by Matteo Matteucci
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
