General Calendar - EMbeDS-education/ComputingDataAnalysisModeling20242025 GitHub Wiki

Overview

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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 2023) and second (beginning of 2024) semesters of academic year 2023/2024

Tentative preliminary schedule

SISS

SISS: Statistical Inference for the Social Sciences. Chiara Seghieri and Costanza Tortù, 20h

  • First semester, 20h (lectures and practicum), 4 weeks.

This course provides a review of the elements of statistical inference, applied to real-world data. Compared to traditional courses on Statistics, this course provides a practice-oriented approach: the course intends to present statistical methodologies while applying them in the analysis of real-world data, with a particular focus on the interpretation of results. The course will be held in italian.

Class Date Time Topic (may change according to pace of classes) Location
1 07/11/23 14:00-17:00 Fundamentals of Statistical Inference Via Maffi, Aula 3 L'EMbeDS
2 09/11/23 15:00-17:00 Point Estimates and Confidence Intervals (A) Via Maffi, Aula 3 L'EMbeDS
3 14/11/23 15:00-17:00 Point Estimates and Confidence Intervals (B) Via Maffi, Aula 3 L'EMbeDS
4 16/11/23 15:00-17:00 Point Estimates and Confidence Intervals (C) Via Maffi, Aula 2 DAF
5 23/11/23 15:00-17:00 Hypotheses Testing Via Maffi, Aula 3 L'EMbeDS
6 28/11/23 14:00-17:00 Linear Regression (A) Via Maffi, Aula 3 L'EMbeDS
7 04/12/23 15:00-17:00 Linear Regression (B) Via Maffi, Aula 3 L'EMbeDS
8 11/12/23 15:00-17:00 Generalized Linear Models (A) Via Maffi, Aula 3 L'EMbeDS
9 12/12/23 15:00-17:00 Generalized Linear Models (B) Via Maffi, Aula 4 DAF

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 Tue 05/11/24 15:00-17:00 2 hours Introduction Console I/O & Variables Centrale, Aula 3
2 THU 07/11/24 15:00-18:00, 3 hours Data types & operations Boyl, Talento all'opera
3 MON 11/11/24 14:00-17:00, 3 hours Collections & First taste of plots Sede centrale, Aula Magna
4 FRI 15/11/24 14:00-17:00, 3 hours Control statements (if, loops) CSV manipulation of COVID-19 data Boyl, Talento all'opera
5 MON 18/11/24 14:00-17:00, 3 hours Functions Creation of wordclouds from online news Centrale, Aula Magna
6 FRI 22/11/24 14:00-17:00, 3 hours Modules & Exceptions & OOP Applications to economic ABM models Boyl, Talento all'opera
7 WED 27/11/24 14:00-17:00, 3 hours Brief intro to Advanced libraries for data manipulation (NumPy & Pandas) Application to COVID-19 and Financial data Centrale, Aula Magna

PDAI PM

Class Date Time Topic (may change according to pace of classes) Location
1 Mon 05/02/24 14:00-16:00 Introduction to Process-oriented Data Science Via Maffi, Aula L'EMbeDS
2 Fri 09/02/24 14:00-16:00 TBD Libraries for Data Manipulation (Pandas 1) & Application to financial and COVID data Via Maffi, Aula L'EMbeDS
3 Mon 12/02/24 14:00-17:00 TBD Libraries for Data Manipulation (Pandas 2) & EDA on Titanic & Assignments Via Maffi, Aula L'EMbeDS
4 Fri 16/02/24 14:00-17:00 TBD Pre-processing & EDA & Project work Via Maffi, Aula L'EMbeDS
5 Mon 19/02/24 14:00-17:00 TBD Unsupervised ML & Project work Via Maffi, Aula L'EMbeDS
6 Fri 23/02/24 14:00-17:00 TBD Supervised ML & Project work Via Maffi, Aula L'EMbeDS
7 Mon 26/02/24 14:00-16:00 TBD Research-driven 1: KNIME Graphical Programming Language Via Maffi, Aula L'EMbeDS
8 Wed 28/02/24 14:00-16:00 TBD Via Maffi, Aula L'EMbeDS

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 05/02/24 16:00-18:00 Intro, Clustering Chiaromonte Via Maffi, Aula L'EMbeDS
2 07/02/24 15:30-18:30 Clustering Chiaromonte Via Maffi, Aula L'EMbeDS
3 08/02/24 15:30-18:30 Principal Components Chiaromonte Via Maffi, Aula L'EMbeDS
4 14/02/24 15:30-18:30 Classification Chiaromonte Via Maffi, Aula L'EMbeDS
5 15/02/24 15:30-18:30 Non-parametrics, Smoothing Chiaromonte Via Maffi, Aula L'EMbeDS
6 21/02/24 15:30-18:30 Cross Validation Chiaromonte Via Maffi, Aula L'EMbeDS
7 22/02/24 15:30-18:30 Resampling Chiaromonte Via Maffi, Aula L'EMbeDS

SLLD 2

Class Date Time Topic Lecturer Location
1 04/03/24 16:00-18:00 Review Linear and Generalized Linear Models Chiaromonte Via Maffi, Aula L'EMbeDS
2 06/03/24 15:30-18:30 Ridge and LASSO Chiaromonte Via Maffi, Aula L'EMbeDS
3 07/03/24 15:30-18:30 Feature Selection Chiaromonte Via Maffi, Aula L'EMbeDS
4 13/03/24 15:30-18:30 Supervised Dimension Reduction Chiaromonte Via Maffi, Aula L'EMbeDS
5 14/03/24 15:30-18:30 Feature Screening in Ultra-high Dimension Chiaromonte Via Maffi, Aula L'EMbeDS
6 20/03/24 15:30-18:30 Subsampling, Partitioning and Rebalancing Chiaromonte Via Maffi, Aula L'EMbeDS
7 21/03/24 15:30-18:30 Reducing, Selecting and Leveraging Structure Chiaromonte Via Maffi, Aula L'EMbeDS
Exam 09/05/24 15:30-18:30 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.