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)
Data Curation (2023/2024)
Academic staff
Massimiliano Canzi (University of Konstanz)
Credits
2
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
On successful completion of this module, participants will achieve:
- Confidence with ggplot2 syntax: Gain proficiency in utilizing the ggplot2 syntax, mastering the creation of a wide array of visualizations for effective data representation.
- Tailoring plots to data types: Develop the skill to select and customize appropriate plot types based on the nature of the data, ensuring clarity and relevance in visual communication.
- Best practices in data visualization: Acquire a deep understanding of best practices in data visualization, encompassing principles such as color theory, label clarity, and the avoidance of chartjunk, to produce compelling and accurate visualizations.
- Understanding data curation: Explore the critical concept of data curation, learning how to assess, clean, and manage datasets for optimal analysis and visualization outcomes.
- Data preparation for tasks: Learn the essential techniques for preparing data in the correct format for specific tasks, ensuring that datasets are appropriately structured and refined to meet the requirements of analysis and visualization.
- Extraction of insights from large data: Develop the ability to navigate and extract meaningful information, including means, tables, and other relevant insights, from large datasets, enabling informed decision-making and interpretation of complex data structures.
- Other, TBD
Program
- ggplot2: Understanding the fundamentals of the ggplot2 package. Exploring the grammar of graphics for creating versatile and customized visualizations. Diving into intricate features and advanced customization options within ggplot2. Hands-on exercises to solidify proficiency in constructing complex plots.
- dplyr: Comprehensive coverage of the dplyr package for efficient data manipulation. Mastering essential verbs such as filter, mutate, select, arrange, and summarise. Understanding the power of the pipe operator (%>%) for creating readable and concise data manipulation workflows. Applying pipelining to enhance code readability and reproducibility.
- ggeffects: Exploring the capabilities of the ggeffects package for visualizing marginal effects from statistical models. Understanding how ggeffects enhances the interpretability of complex model results. Utilizing ggeffects for visualizing interaction effects and other nuanced model outcomes.
- Other, TBD
Readings
Some previous knowledge of quantitative methods is required. Because of the limited scope of the course, it’s impossible to tackle more introductory topics from the very start. Participants are expected to know basic concepts in linear regression (e.g. mixed vs non-mixed models, dependent vs independent variables, interactions, intercepts and slopes etc.). The book “Statistics for linguists” from Bodo Winter, 2019, is recommended to brush up on these topics ahead of time.When and where
Univr, aula e orario TBD
Referente: Chiara Melloni (chiara.melloni@univr.it)
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Wednesday 22 May 2024 10:30 - 12:20 Duration: 2:00 AM |
Palazzo di Lettere - Aula D4-Olimpia [3.06 - 3] | Massimiliano Canzi (University of Konstanz) | Data Curation & Visualization in R |
|
Wednesday 22 May 2024 14:00 - 16:00 Duration: 2:00 AM |
Palazzo di Lettere - Aula D4-Olimpia [3.06 - 3] | Massimiliano Canzi (University of Konstanz) | Data Curation & Visualization in R |
|
Thursday 23 May 2024 10:30 - 12:30 Duration: 2:00 AM |
Palazzo di Lettere - Aula D4-Olimpia [3.06 - 3] | Massimiliano Canzi (University of Konstanz) | Data Curation & Visualization in R |
|
Thursday 23 May 2024 14:00 - 16:00 Duration: 2:00 AM |
Palazzo di Lettere - Aula D4-Olimpia [3.06 - 3] | Massimiliano Canzi (University of Konstanz) | Data Curation & Visualization in R |
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
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
Teacher: Dora Renna
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Law and Economics]
Credits: 2,5
Language: English
Teacher: Emanuela Tenca
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
Teacher: Jessica Jane Nocella
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
Teacher: Silvia Velardi
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
Teacher: Monica Antonello
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teacher: Geltrude Daniela Vescio
ENGLISH FOR ACADEMIC WRITING SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
Teacher: Dora Renna
ENGLISH FOR ACADEMIC WRITING SKILLS [Law and Economics]
Credits: 2,5
Language: English
Teacher: Emanuela Tenca
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
Teacher: Jessica Jane Nocella
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
Teacher: Silvia Velardi
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
Teacher: Monica Antonello
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teacher: Geltrude Daniela Vescio
Teaching Activities ex DM 226/2021: Research management and Enhancement
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Arts and Humanities]
Credits: 2,5
Language: Italian
Teacher: Donatella Boni
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Law and Economics]
Credits: 2,5
Language: Italian
Teacher: Luisella Zocca
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Scientific Area]
Credits: 2,5
Language: Italian
Teacher: Elena Scanferla
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
INTRODUCTION TO PROBABILITY (MODULE I)
Credits: 1
Language: English
Teacher: Marco Minozzo
INTRODUCTION TO PROBABILITY (MODULE II)
Credits: 1
Language: English
Teacher: Marco Minozzo
BASIC LEVEL STATISTICS
Credits: 2,5
Language: English
INTRODUCTION TO STATISTICAL INFERENCE
Credits: 1
Language: English
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0,5
Language: English
Teacher: Alessandro Marcon
BASIC LEVEL STATISTICS
Credits: 2,5
Language: Italian
Statistical analysis with R - module I
Credits: 1
Language: Italian
Teacher: Erica Secchettin
Generalized linear models: logistic regression, loglinear model, Poisson model
Credits: 2
Language: English
Teacher: Lucia Cazzoletti
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1,5
Language: English
Teacher: Alessandro Marcon
Calcolo della numerosità campionaria in funzione di una precisione o potenza statistica prefissata
Credits: 1
Language: English
Teacher: Giuseppe Verlato
Introduzione alla meta-analisi per la ricerca biomedica (revisione della letteratura, raccolta dei dati, costruzione del database)
Credits: 1
Language: English
Teacher: Giuseppe Verlato
Applicazioni della meta-analisi in campo epidemiologico e medico
Credits: 1
Language: Inglese
Teacher: Giuseppe Verlato
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1,5
Language: Inglese - English
Teacher: Simone Accordini
INTERMEDIATE STATISTICS [Recommended for Human Sciences]
Credits: 2,5
Language: English
INTERMEDIATE STATISTICS [Tutti i corsi di studio]
Credits: 2,5
Language: English
Statistical analysis with R - module II
Credits: 2
Language: Italian
Teacher: Erica Secchettin
Teaching Activities: Free choice
PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM: WHAT DO WE NEED TO CONSIDER FOR BEING A GOOD SCIENTIST: BEST PRACTICE AND THE ETHICS OF SCIENCE
Credits: 1
Language: inglese
Teacher: Paola Cesari
QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Credits: 2
Language: Italian
Teacher: Roberta Silva
IMPARA IL MARKETING DIGITALE
Credits: 1,5
Language: English
LA COMUNICAZIONE UMANISTICA: OPPORTUNITA' E RISCHI
Credits: 1
Language: Italiano
Italian Poetry abroad
Credits: 1
Language: Italiano
Teacher: Massimo Natale
COSTRUISCI IL TUO BUSINESS MODEL CANVAS
Credits: 1,5
Language: English
APPROCCI E METODOLOGIE PARTECIPATIVE NELLA RICERCA CON GLI ATTORI DEL TERRITORIO
Credits: 1,5
Language: Italian
Teacher: Cristiana Zara
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 1,5
Language: English
Teacher: Chiara Sità
IL SONNO E I SUOI DISTURBI: FOCUS SULLE PARASONNIE E I DISTURBI DEL MOVIMENTO IN SONNO
Credits: 1
Language: English
Teacher: Elena Antelmi
DIFFERENTIAL DIAGNOSIS OF DEMYELINATING DISEASES OF THE CENTRAL NERVOUS SYSTEM
Credits: 2
Language: English
Teacher: Alberto Gajofatto
IMAGING TECHNIQUES FOR BODY COMPOSITION ANALYSIS
Credits: 1
Language: English
Teacher: Carlo Zancanaro
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Credits: 2
Language: English
Teacher: Alberto Scandola
THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Credits: 2
Language: English
THE PATHWAY OF OXYGEN: CAUSE OF HYPOXEMIA
Credits: 1
Language: English
Teacher: Carlo Capelli
Faculty
+39 045802 8465
michela.redolfi@univr.it
marta.tagliani@univr.it
PhD students
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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
| Title | Info File |
|---|---|
Dottorandi: linee guida generali (2023/2024)
|
pdf, it, 118 KB, 12/12/23 |
|
PhD students: general guidelines (2023/2024)
|
pdf, it, 89 KB, 12/12/23 |
|
PhD students: guidelines for editing your personal webpage
|
pdf, it, 434 KB, 12/12/23 |
|
PhD students: handout of first meeting (3 October 2023)
|
pdf, it, 115 KB, 12/12/23 |
