Name: Corso di Formazione "Advanced Python"
Start: 2021-10-27T14:00:00+02:00
End: 2021-10-29T13:00:00+02:00
Location: Dipartimento di FIsica e Geologia

Corso di Formazione "Advanced Python"

from Wednesday, October 27, 2021 (2:00 PM) to Friday, October 29, 2021 (1:00 PM)

Monday, October 25, 2021
Tuesday, October 26, 2021
Wednesday, October 27, 2021
2:00 PM Session 1
2:00 PM - 3:45 PM
Room: Aula di Informatica Piano 3
Contributions

2:00 PM Introduction and presentations

2:15 PM Python programming language and structure of the course

3:15 PM First exercises pandas: Facebook advertising data
3:45 PM Coffee
Coffee
3:45 PM - 4:15 PM
Room: Aula di Informatica Piano 3
4:15 PM Session 1
4:15 PM - 6:00 PM
Room: Aula di Informatica Piano 3
Contributions

4:15 PM First exercises pandas: Facebook advertising data ( continue )

5:00 PM IoT: predicting RUL for an electric motor from sensors data
Thursday, October 28, 2021
9:00 AM .: Session 2
Session 2
9:00 AM - 11:00 AM
Room: Aula di Informatica Piano 3
Contributions

9:00 AM Linear regressior

10:30 AM Intermezzo: If you need ROOT
11:00 AM Coffee
Coffee
11:00 AM - 11:30 AM
Room: Aula di Informatica Piano 3
11:30 AM .: Session 2
Session 2
11:30 AM - 1:00 PM
Room: Aula di Informatica Piano 3
Contributions

11:30 AM Logistic Regressor
1:00 PM Launch
Launch
1:00 PM - 2:15 PM
Room: Aula di Informatica Piano 3
2:15 PM Session 4
2:15 PM - 4:00 PM
Room: Aula di Informatica Piano 3
Contributions

2:15 PM Introduction to ML
4:00 PM Coffee
Coffee
4:00 PM - 4:30 PM
Room: Aula di Informatica Piano 3
4:30 PM Session 4
4:30 PM - 6:00 PM
Room: Aula di Informatica Piano 3
Contributions

4:30 PM Introduction to ML ( continue )

5:00 PM pytest and TDD
Friday, October 29, 2021
9:00 AM Session 5
9:00 AM - 11:00 AM
Room: Aula di Informatica Piano 3
Contributions

9:00 AM Tensorflow: predictions on images
11:00 AM Coffee
Coffee
11:00 AM - 11:30 AM
Room: Aula di Informatica Piano 3
11:30 AM Session 5: Session 5
Session 5
11:30 AM - 1:00 PM
Room: Aula di Informatica Piano 3
Contributions

11:30 AM Tensorflow: predictions on images

12:30 PM Concluding remarks and thank you

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