General Calendar - EMbeDS-education/ComputingDataAnalysisModeling20242025 GitHub Wiki
Overview
THIS IS A TEMPLATE PAGE WITH OLD INFORMATION. IT WILL BE POPULATED LATER ON
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.