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)

Phonology

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

Credits

1

Language

English

Class attendance

Free Choice

Learning objectives

The course will provide an overview on the methods to compute sample size necessary to achieve an adequate precision in estimating proportions or an adequate statistical power to compare the means of two independent or dependent samples, or the proportions of two independent samples. The concepts of statistical power, statistical precision, sample size and effect size will be reviewed. Statistical power computations will be illustrated by Excel files and Stata software. Participants will be encouraged to bring power calculation problems, to be used as examples in the class.

Prerequisites and basic notions

Students should have basic knowledge of Mathematics and Statistics.

Program

Confidence interval and precision of the estimate. Methods to compute sample size necessary to achieve an adequate precision in estimating proportions.
Probability of type II error and power of a statistical test. Methods to compute sample size necessary to achieve an adequate statistical power to compare the means of two independent or dependent samples, or the proportions of two independent samples.

When and where

Lessons will take place in the computer room. Statistical power computations will be illustrated by Excel files and Stata software (Stata and R-commander). Participants will be encouraged to bring power calculation problems, to be used as examples in the class.

Learning assessment procedures

A written exam will be administered. Students will have to compute sample size in a given problem.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

The exam will evaluate not only the acquisition of statistical knowledge, but also the ability to adopt it critically to solve health problems.

Criteria for the composition of the final grade

The final mark will be expressed on a scale ranging from 0 to 30. A minimum mark of 18 will be required in order to pass the exam.

Scheduled Lessons

When Classroom Teacher topics
Thursday 02 May 2024
14:00 - 18:00
Duration: 4:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Verlato DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER

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 8314

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

Redolfi Michela

symbol email michela.redolfi@univr.it

Tagliani Marta

symbol email marta.tagliani@univr.it

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 2023/2024.

Documents