Training and Research

PhD school courses/classes - 2024/2025

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum

2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, instructions will be sent well in advance. No confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.

3. When Zoom links are not explicitly indicated, courses are delivered in presence only.

4. All information we have is published here. Please do not enquiry for missing information or Zoom links: as soon as we get new information, we will promptly publish it on this page.

Ambito per Dottorati

Ambito per i Corsi di Dottorato

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Other Free choice activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Credits

1

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course will cover a very important family of models in statistics, the so-called, Generalized Linear Models (GLM). We will study the theoretical aspects of different extensions to the linear regression model framework.

Some concrete goals are:

- To extend the linear regression model to models that can handle a binary, count and a non-Gaussian response. Course topics include: logistic regression, Poisson regression, log-linear models, contingency tables.
- To deal with over-dispersion in the data.

Didactic methods

Le lezioni saranno organizzate in presenza. È richiesta la frequenza del 100%.

Faculty

A C D G I L M P R S T V

Artoni Daniele

symbol email daniele.artoni@univr.it symbol phone-number +39 045802 8465

Cantarini Sibilla

symbol email sibilla.cantarini@univr.it symbol phone-number +39 045802 8199

Cappellotto Anna

symbol email anna.cappellotto@univr.it symbol phone-number +39 045802 8349

Cipolla Maria Adele

symbol email adele.cipolla@univr.it symbol phone-number +39 045802 8314

Delfitto Denis

symbol email denis.delfitto@univr.it symbol phone-number +39 045802 8114

Melloni Chiara

symbol email chiara.melloni@univr.it symbol phone-number +39 045802 8119

Padovan Andrea

symbol email andrea.padovan@univr.it symbol phone-number +39 045 802 8753

Rabanus Stefan

symbol email stefan.rabanus@univr.it symbol phone-number +39 045802 8490

Tomaselli Alessandra

symbol email alessandra.tomaselli@univr.it symbol phone-number +39 045802 8315

Vender Maria

symbol email maria.vender@univr.it symbol phone-number 0458028114

PhD students

PhD students present in the:

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Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2024/2025.

Documents