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The general calendar of the courses is provided below (or will be made available here when ready).

• The courses are planned to be run both in the first (end of 2024) and second (beginning of 2025) semesters of academic year 2024/2025

ASM: Applied Statistical Modeling. Chiara Seghieri and Claudio Mazzi, 20h

• First semester: 14.11.2024 - 11.12.2024, 20h (lectures and practicum), 4 weeks.

ASM Calendar:

Date	Time	Topic (may change according to pace of classes)	Location
14/11	15-17	Introduction to the course and to linear regression	Centrale, Aula 2
19/11	14-17	Linear regression: model diagnostics, multiple linear regression	Alliata, Aula 1
25/11	17-20	GLM introduction, logit model	Maffi, Aula 2
29/11	14-17	Probit model, ordinal logit and probit	Centrale, Aula 2
3/12	17-20	Poisson regression and other GLMs	Alliata, Aula 1
9/12	14-17	Random effect models	Alliata, Aula 1
11/12	14-17	Recap and applications	Centrale, Aula 4

[INFORMATION NON UPDATED FOR ASM2] ASM2: Applied Statistical Modeling 2. Valentina Lorenzoni, 20h

• Second semester: xx.02.2025 - xx.03.2025, 20h (lectures and practicum), 4 weeks.

ASM2 Calendar:

Date	Time	Topic (may change according to pace of classes)	Location
14/04	16-18	Introduction to the course and to time-to-event data	Boyl, Aula 1
16/04	16-18	Analysis of time to event data	Boyl, Aula 1
13/05	16-18	Non-parametric Cox regression model	Boyl, Aula 1
20/05	16-18	Parametric regression models for time-to-event data	Boyl, Aula 1
27/05	16-18	Competing risks analysis	Boyl, Aula 1

PDAI: Programming & Data Analytics & AI. Andrea Vandin, 40h

• Module 1, First semester, 20h (14h lectures, 6h practicum), 3 weeks,
• Module 2-PM, Second semester, 20h (14h lectures, 6h practicum), 3 weeks,

PDAI 1

Class	Date	Time	Topic (may change according to pace of classes)	Location
1	MON 11/11/24	15:00-17:00 2 hours	Introduction Console I/O & Variables	Sede centrale, Aula Magna
2	FRI 15/11/24	15:00-18:00, 3 hours	Data types & operations	Boyl, Sala conferenze
3	MON 18/11/24	14:00-17:00, 3 hours	Collections & First taste of plots	Sede centrale, Aula 3
4	FRI 22/11/24	14:00-17:00, 3 hours	Control statements (if, loops) CSV manipulation of COVID-19 data	Sede centrale, Aula 3
5	WED 27/11/24	14:00-17:00, 3 hours	Functions Creation of wordclouds from online news	Sede centrale, Aula 3
6	THU 28/11/24	14:00-17:00, 3 hours	Modules & Exceptions & OOP Applications to economic ABM models	Maffi, Aula 14
7	FRI 29/11/24	14:00-17:00, 3 hours	Brief intro to Advanced libraries for data manipulation (NumPy & Pandas) Application to COVID-19 and Financial data	Sede centrale, Aula Magna

PDAI PM

The calendar of PDAI PM may be subject to change

Class	Date	Time	Topic (may change according to pace of classes)	Location
1	Wed 05/02/25	16:00-18:00	Introduction to Process-oriented Data Science with Disco	Sede centrale, Aula 3
2	Fri 07/02/25	14:00-16:00	Advanced libraries for data manipulation and visualization (Numpy)	Via Maffi, L'EMbeDS Lab (Aula 3)
3	Mon 10/02/25	14:00-17:00	Advanced libraries for data manipulation and visualization (Pandas)	Via Maffi, L'EMbeDS Lab (Aula 3)
4	Wed 12/02/25	14:00-17:00	The Python library for Process Mining: PM4Py PM and Data: Case studies, benchmarks... Data lab	Sede centrale, Aula 3
5	Mon 17/02/25	14:00-17:00	The Python library for Process Mining: PM4Py PM and Data: Case studies, benchmarks... Data lab	Via Maffi, L'EMbeDS Lab (Aula 3)
6	Wed 19/02/25	14:00-17:00	Petri nets and the Alpha Miner Data lab	Boyl, Aula 3
7	Mon 24/02/25	15:00-17:00	Dependency Graphs and Heuristic miner Data lab	Via Maffi, L'EMbeDS Lab (Aula 3)
8	Wed 26/02/25	15:00-17:00	Conformance checking. Data lab	Boyl, Aula 3

SLLD: Statistical Learning & Large Data. Francesca Chiaromonte, 40h

• Module 1, Second semester, 20h (14h lectures, 6h practicum), 3 weeks,
• Module 2, Second semester, 20h (14h lectures, 6h practicum), 3 weeks

SLLD 1

Class	Date	Time	Topic	Lecturer	Location
1	05/02/25	14:00-16:00	Intro, Clustering	Chiaromonte	Sede Centrale, Aula 3
2	06/02/25	16:00-19:00	Clustering	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
3	07/02/25	16:00-19:00	Principal Components	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
4	13/02/25	16:00-19:00	Classification	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
5	14/02/25	16:00-19:00	Non-parametrics, Smoothing	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
6	20/02/25	16:00-19:00	Cross Validation	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
7	21/02/25	16:00-19:00	Resampling	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)

SLLD 2

Class	Date	Time	Topic	Lecturer	Location
1	05/03/25	14:00-16:00	Review Linear and Generalized Linear Models	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
2	06/03/25	16:00-19:00	Ridge and LASSO	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
3	07/03/25	16:00-19:00	Feature Selection	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
4	13/03/25	16:00-19:00	Supervised Dimension Reduction	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
5	14/03/25	16:00-19:00	Feature Screening in Ultra-high Dimension	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
6	20/03/25	16:00-19:00	Subsampling, Partitioning and Rebalancing	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
7	21/03/25	16:00-19:00	Reducing, Selecting and Leveraging Structure	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)
Exam	09/05/25	15:00-19:00	Project Presentations and Discussion	Chiaromonte	Via Maffi, L'EMbeDS Lab (Aula 3)

DMPD: Dynamic models for panel data. Laura Magazzini, 10h

• Second semester, 10h, 2 weeks.