Training and Research

PhD Programme Courses/classes - 2023/2024

Rhythm, meter, and syncopation: A linguistic perspective

Credits: 1

Language: English

Teacher:  Gaetano Fiorin (Università di Trieste)

Introduzione ai processi di elaborazione linguistica. Elaborazione linguistica delle parole tabù

Credits: 1

Language: Italiano

Teacher:  Simone Sulpizio (Università di Milano-Bicocca)

Exploring Worldwide Morphosyntax

Credits: 1

Language: English

Teacher:  Neele Harlos (Philipps-Universität Marburg)

Discovering language through vision: Eye-tracking for linguistic research

Credits: 1

Language: English

Teacher:  Marta Tagliani, Michela Redolfi

Clinical and Experimental Neurolinguistics Workshop

Credits: 1

Language: English

Teacher:  Simona Mancini (Basque Center on Cognition, Brain and Language, BCBL)

Speaker categorisation in empirical linguistics

Credits: 1,5

Language: English

Teacher:  Gabriele Pallotti (Università di Modena e Reggio Emilia), Judith Purkarthofer (Universität Duisburg-Essen)

Syntactic microvariation

Credits: 1

Language: English

Teacher:  Alessandra Tomaselli, Cecilia Poletto (Università di Padova, Goethe-Universität Frankfurt)

Language Policy

Credits: 1,5

Language: English

Teacher:  Inna Kabanen (University of Helsinki), Daniele Artoni

Genus, Sexus und Gender am Beispiel des Deutschen, Russischen und Armenischen

Credits: 1

Language: German

Teacher:  Gayane Savoyan

The German Language in America: Bilingualism and Language Contact

Credits: 1

Language: English

Teacher:  Mark L. Louden (The University of Wisconsin-Madison)

Quantitative Methods in Linguistics

Credits: 3

Language: English

Teacher:  Alessandro Vietti (Free University of Bozen-Bolzano)

Origine e sviluppo storico della lingua danese

Credits: 1

Language: Italian

Teacher:  Luca Panieri (Università IULM Milano)

Natural Language Processing for Non-standard Language and Dialects: Challenges and Current Approaches

Credits: 0,5

Language: English

Teacher:  Barbara Plank (LMU München)

Insegnare e imparare il tedesco tra tardo Medioevo e primo Evo moderno

Credits: 0,5

Language: Italian

Teacher:  Marialuisa Caparrini (Università degli Studi di Ferrara)

Data Curation

Credits: 2

Language: English

Teacher:  Massimiliano Canzi (University of Konstanz)

Metaphors and Vaccination

Credits: 0,5

Language: English

Teacher:  Elena Semino (Lancaster University)

Language Comprehension in Dyslexia: Sentence Processing, Linguistic Prediction, and Educational Issues

Credits: 1

Language: English

Teacher:  Paul Engelhardt (University of East Anglia)


Credits: 2,5

Language: English

Teacher:  Birgit Alber (Freie Universität Bozen), Eirini Apostolopoulou (University of Thessaloniki)

Introduction to Conversation Analysis

Credits: 2,5

Language: English, Italian

Teacher:  Daniela Veronesi (Freie Universität Bozen), Elwys De Stefani (Universität Heidelberg)

Introduction to language documentation

Credits: 0,5

Language: English

Teacher:  Peter Austin (SOAS University of London)

PhD school courses/classes - 2023/2024

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

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.

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, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic 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





Class attendance

Free Choice



Learning objectives

The course aims at introducing the participants to R and to some of its most powerful innovations, which have recently reshaped the way the R code is designed. The approach of the course is mainly applicative, and particular attention is devoted to some topics which are becoming more and more relevant in research, and typically entails highly time-consuming activities, such as data manipulation and code documentation. A unified conceptual framework is provided on model fitting, in order to make participants able to cope with different (and new) regression models autonomously and efficiently.This module
introduces the participants to R language and to its basic functions for statistical analysis of data and stochastic simulations.


1. Introduction to R: R and RStudio; working directory and workspace; special values; types and R objects: scalars, vectors, matrices, data.frame, lists; indexes; matrix operations; definition of new functions; the function str and the help of R.
2. Basic statistics with R: factor variables and the cut function; basic statistical functions; frequency tables and basic statistical tests; probability distributions; (pseudo)-random number generators and seeds; introduction to Monte Carlo simulations.

When and where

13 March 2024, 12:00-15:00
Aula E, Istituti Biologici
26 March 2024, 12:00-15:00
Aula 4, Lente Didattica
3 April 2024, 12:00-14:00
Aula E, Istituti Biologici

Lessons will be delivered in presence. At least 75% attendance is required.



Artoni Daniele

symbol email symbol phone-number +39 045802 8465

Cantarini Sibilla

symbol email symbol phone-number +39 045802 8199

Cappellotto Anna

symbol email symbol phone-number +39 045802 8314

Cipolla Maria Adele

symbol email symbol phone-number +39 045802 8314

Delfitto Denis

symbol email symbol phone-number +39 045802 8114

Melloni Chiara

symbol email symbol phone-number +39 045802 8119

Padovan Andrea

symbol email symbol phone-number +39 045 802 8753

Rabanus Stefan

symbol email symbol phone-number +39 045802 8490

Redolfi Michela

symbol email

Tagliani Marta

symbol email

Tomaselli Alessandra

symbol email symbol phone-number +39 045802 8315

Vender Maria

symbol email symbol phone-number 0458028114

PhD students

PhD students present in the:

No people are present.

Course lessons
PhD Schools lessons


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 2023/2024.