General Calendar - EMbeDS-education/ComputingDataAnalysisModeling20242025 GitHub Wiki

Overview


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

Tentative preliminary schedule

ASM

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

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

The course aims at providing students with methodological and applied background on statistical models for analysing data with different types of response variables. The course has a practice-oriented approach with applications in the context of social sciences and practical examples using R software.

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

PDAI

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 Mon 05/02/25 16:00-18:00 Introduction to Process-oriented Data Science Sede centrale, Aula 3
2 Fri 07/02/25 14:00-16:00 TBD Sede centrale, Aula 4
3 Mon 10/02/25 14:00-17:00 TBD Via Maffi, Aula L'EMbeDS
4 Fri 12/02/25 14:00-17:00 TBD Sede centrale, Aula 3
5 Mon 17/02/25 14:00-17:00 TBD Via Maffi, Aula L'EMbeDS
6 Fri 19/02/25 14:00-17:00 TBD Boyl, Aula 3
7 Mon 24/02/25 15:00-17:00 TBD Via Maffi, Aula L'EMbeDS
8 Wed 28/02/25 15:00-17:00 TBD Sede centrale, Aula 3

SLLD

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 Sede Centrale, Aula 3
3 07/02/25 16:00-19:00 Principal Components Chiaromonte Sede Centrale, Aula 4
4 13/02/25 16:00-19:00 Classification Chiaromonte Sede Centrale, Aula 3
5 14/02/25 16:00-19:00 Non-parametrics, Smoothing Chiaromonte Sede Centrale, Aula 2
6 20/02/25 16:00-19:00 Cross Validation Chiaromonte Via Maffi, Aula L'EMbeDS
7 21/02/25 16:00-19:00 Resampling Chiaromonte Via Maffi, Aula L'EMbeDS

SLLD 2

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

DMPD

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

  • Second semester, 10h, 2 weeks.