Archivio dei corsi della Scuola di Dottorato 2023-24

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined);
Activities are also listed in the online calendar.
Latest update: July 22nd, 2024

Please read the following very carefully:

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, 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.

Teaching Activities ex DM 226/2021: Linguistic Activities

ENGLISH LEVEL B1

ENGLISH LEVEL B2

ENGLISH LEVEL C1 - RESERVED TO PHD STUDENTS

ITALIAN LANGUAGE COURSE FOR NON-NATIVE ITALIAN SPEAKERS

INFORMATION: ENGLISH FOR ACADEMIC WRITING SKILLS

Areas:

1. Macroarea Arts and Humanities: 1 module, 15 hours
Lecturers: Dr. Dora Renna
Delivery dates and location:
January 9, 2024, 09:40-12:00
January 10, 2024, 09:40-12:00
January 11, 2024, 09:40-12:00
January 12, 2024, 09:40-12:00
Aula SMT.02, Santa Marta

2. Macroarea Law and Economics: 1 module, 15 hours
Lecturers: Dr. Emanuela Tenca
Delivery dates and location:
January 9, 2024, 09:40-12:00
January 10, 2024, 09:40-12:00
Aula SMT.03, Santa Marta
January 11, 2024, 09:40-12:00
January 12, 2024, 09:40-12:00
Aula SMT.06, Santa Marta

3. Macroarea Life and Health Sciences: 1 module, 15 hours - 1st session
Lecturers: Dr. Jessica Jane Nocella
Delivery dates and location:
January 9, 2024, 09:40-12:00
January 10, 2024, 09:40-12:00
January 11, 2024, 09:40-12:00
Aula Dal Forno, Istituti Biologici Blocco A
January 12, 2024, 09:40-12:00
Aula B, Istituti Biologici Blocco A

3. Macroarea Life and Health Sciences: 1 module, 15 hours - 2nd session
Lecturers: Dr. Silvia Velardi
January 23, 2024, 12:30-14:45
January 24, 2024, 12:30-14:45
January 25, 2024, 12:30-14:45
Aula 1, Piastra Odontoiatrica
January 26, 2024, 12:30-14:45
Aula 3, Piastra Odontoiatrica

4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 1st session
Lecturers: Dr. Monica Antonello
Delivery dates and location:
January 9, 2024, 14:30-16:45
January 10, 2024, 14:30-16:45
Sala Verde (Piramide), Ca' Vignal 2
January 11, 2024, 14:30-16:45
January 12, 2024, 14:30-16:45
Aula Dal Forno, Istituti Biologici Blocco A

4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 2nd session
Lecturers: Dr. Daniela Gertrude Vescio
Delivery dates and location:
January 10, 2024, 09:40-12:00
Aula 1 - Roberto Vecchioni - Lente Didattica
January 11, 2024, 09:40-12:00
January 12, 2024, 09:40-12:00
Aula Magna Giorgio De Sandre - Lente Didattica
January 22, 2024, 09:40-12:00
Aula D - Borgo Roma - Istituti Biologici Blocco A

Notes: 25 attendants for each module. Required English certification: C1 (Arts and Humanities), B2 (other Areas). It is extremely important to have the correct minimum level to be able to follow and participate in this course.
CFUs: 2.5 for each module
Required attendance: 10 classroom hours and 10 e-learning hours.

Considering the wide attendance of the 2022/24 edition, two 15-hour sessions will be organised for Area 3 and for Area 4.

INFORMATION: ENGLISH FOR ACADEMIC PRESENTATION SKILLS

Areas:

1. Macroarea Arts and Humanities: 1 module, 15 hours
Lecturers: Dr. Dora Renna
Delivery dates and location:
January 15, 2024, 09:40-12:00
January 17, 2024, 09:40-12:00
January 18, 2024, 09:40-12:00
January 19, 2024, 09:40-12:00
Aula SMT.02, Santa Marta

2. Macroarea Law and Economics: 1 module, 15 hours
Lecturers: Dr. Emanuela Tenca
Delivery dates and location:
January 15, 2024, 09:40-12:00
January 17, 2024, 09:40-12:00
Aula SMT.11, Santa Marta
January 18, 2024, 09:40-12:00
Aula SMT.1, Santa Marta
January 19, 2024, 09:40-12:00
Aula SMT.11, Santa Marta

3. Macroarea Life and Health Sciences: 1 module, 15 hours - 1st session
Lecturers: Dr. Jessica Jane Nocella
Delivery dates and location:
January 15, 2024, 09:40-12:00
January 17, 2024, 09:40-12:00
January 18, 2024, 09:40-12:00
January 19, 2024, 09:40-12:00
Aula E, Lente Didattica

3. Macroarea Life and Health Sciences: 1 module, 15 hours - 2nd session
Lecturers: Dr. Silvia Velardi
Delivery dates and location:
January 15, 2024, 12:30-14:45
January 17, 2024, 12:30-14:45
January 18, 2024, 12:30-14:45
Aula E, Istituti Biologici Blocco A
January 19, 2024, 12:30-14:45
Aula Dal Forno, Istituti Biologici Blocco A

4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 1st session
Lecturers: Dr. Monica Antonello
Delivery dates and location:
January 23, 2024, 14:30-16:45
January 24, 2024, 14:30-16:45
January 25, 2024, 14:30-16:45
January 26, 2024, 14:30-16:45
Aula F, Istituti Biologici Blocco A

4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 2nd session
Lecturers: Dr. Daniela Gertrude Vescio
Delivery dates and location:
January 17, 2024, 09:40-12:00
January 18, 2024, 09:40-12:00
January 19, 2024, 09:40-12:00
Aula F, Istituti Biologici Blocco A
January 22, 2024, 09:40-12:00
Aula D, Istituti Biologici Blocco A

Notes: 25 attendants for each module. Required English certification: C1 (Arts and Humanities), B2 (other Areas). It is extremely important to have the correct minimum level to be able to follow and participate in this course.
CFUs: 2.5 for each module
Required attendance: 10 classroom hours and 10 hours e-learning hours.

Considering the wide attendance of the 2022/23 edition, two 15-hour sessions will be organised for Area 3 and for Area 4.

PROGRAMME: ENGLISH FOR ACADEMIC WRITING SKILLS (ADVANCED ENGLISH)

Content description (in common for all Areas)
Focus on writing skills and style 1) Grammar and vocabulary for academic writing 2) Structuring sentences and paragraphs 3) Levels of formality	Focus on language 1) Active/passive voice 2) Nominalisation and compounds 3) Simple/complex sentences Focus on citation strategies 1) Direct quotations vs. paraphrasing 2) Avoiding plagiarism and linguistic strategies for paraphrasing	Focus on texts 1) Cohesion and coherence 2) Writer positioning in academic texts 3) Summary writing 4) Writing introductions	Focus on texts with practice and peer review 1) Abstracts 2) Academic bios 3) Writing practice and peer review

PROGRAMME: ENGLISH FOR ACADEMIC PRESENTATION SKILLS (ADVANCED ENGLISH)

Content description (in common for all Areas)
Focus on Public Speaking 1) Fears and advice 2) Planning and rehearsal 3) Useful language for sign-posting 4) Non-verbal communication 5) Practice	Focus on software support 1) Why use software? 2) What is available: Prezi vs. Powerpoint Developing slides/frames 1) Make Powerpoint work for you 2) Introduction to Using Prezi 3) Practice	Presentation of slides / frames 1 1) Student Presentations 2) Peer review Focus on question and answer sessions 1) Organise the session to make it work for you 2) Problem solving 3) Practice	Focus on language for data presentation 1) Presenting graphs and visuals 2) Practice Presentation of slides / frames 2 1) Student presentations 2) Question and answer sessions 3) Peer review

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

BASIC LEVEL STATISTICS

Topic	BASIC LEVEL STATISTICS
CFUs	2.5
Language	English
Description	Basic level statistics is organised in modules, described below, that are available to all students. Students may choose the modules to attend according to their knowledge level and interests. Attendance of at least 20 hours is required to obtain credits.

Module	BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
Lecturers	Prof. Margherita Brondino, Univr Dr. Elisa Menardo, Univr
Teaching hours	20
CFU	2.5
Language	English
When/where	March 7, 2024; 9:00-13:00 March 12, 2024; 9:00-13:00 March 14, 2024; 9:00-13:00 March 19, 2024; 9:00-13:00 March 26, 2024; 10:00-11:00 Zoom link will be given to admitted students only.
Notes	The course will be delivered via Zoom; at least 70% attendance is required. At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area.
Module contents	1. Introduction to empirical research (measurement issues, research designs, data collection) (4 hours) 2. Introduction to statistics: Descriptive statistics and graphical representation (4 hours) 3. Null hypothesis testing, t-test, Chi-square (4 hours) 4. Correlational analysis, Simple and multiple linear regression analysis and hierarchical regression (4 hours) 5. Excersises on all course contents (2 hours) 6. Test on acquired expertise (2 hours)
Learning Outcomes	The course aims to provide the expertise that is required to perform base-level statistical analysis, both descriptive and inferential, for research purposes. The course mainly targets human sciences, also with the aid of open source statistical software (JAMOVI).

Module	INTRODUCTION TO PROBABILITY (MODULE I)
Lecturer	Prof. Marco Minozzo (Univr)
Teaching hours	8
CFUs	1
Language	English
When/where	4 October 2023, 14:00-17:00 6 October 2023, 9:00-12:00 18 October 2023, 14:00-16:00 Moodle link
Notes	Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.
Module contents	- Random experiments, events, event trees. - Algebras and sigma-algebras, axiomatic definition of probability, probability spaces, properties of probability. - Conditional probability, Bayes theorem, stochastic independence for events. - Random variables, measurability, cumulative distribution function.
Learning outcomes	The purpose of the modules is to explain, at an intermediate level, the basis of probability theory and some of its more relevant theoretical features. The topics will be illustrated and explained through many examples. Students are expected to acquire the language and the concepts needed to better understand the probabilistic models and the statistical techniques used in their subjects.

Module	INTRODUCTION TO PROBABILITY (MODULE II)
Lecturer	Prof. Marco Minozzo (Univr)
Teaching hours	8
CFUs	1
Language	English
When/where	27 October 2023, 14:00-17:00 10 November 2023, 14:00-17:00 24 November 2023, 14:00-16:00 Moodle link
Notes	Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.
Modules Contents	- Discrete random variables, binomial distribution. - Continuous random variables, density functions. - Transformations of random variables. - Expectation, variance and moments of random variables. - Multidimensional random variables, discrete multidimensional random variables, marginal and conditional distributions, independent random variables. - Linear combinations of random variables. - Introduction to limit theorems, weak law of large numbers.
Learning Outcomes	The purpose of the modules is to explain, at an intermediate level, the basis of probability theory and some of its more relevant theoretical features. The topics will be illustrated and explained through many examples. Students are expected to acquire the language and the concepts needed to better understand the probabilistic models and the statistical techniques used in their subjects.

Module	INTRODUCTION TO STATISTICAL INFERENCE
Lecturer	Prof. Marco Minozzo (Univr)
Teaching hours	8
CFUs	1
Language	English
When/where	26 February 2024, 14:00-17:00 27 February 2024, 14:00-17:00 28 February 2024, 14:00-16:00 Moodle link
Notes	Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.
Course objectives	The purpose of the module is to explain, at an elementary level, the conceptual basis of the classical (frequentist) approach to statistical inference. The topics will be illustrated and explained through many examples. Students are expected to acquire the language and the concepts needed to better understand the inferential procedures required for their subjects.
Programme	- Revision of limit theorems: weak law of large numbers; central limit theorem. - Random samples, sample statistics and sampling distributions; normal and Bernoulli populations; sample mean, sample variance and sample proportion. - Point estimation: estimators, unbiasedness, efficiency, mean square error, consistency. - Interval estimation: pivotal quantity; paradigmatic examples. - Hypothesis testing: type I and type II errors; critical value; confidence level; power; test statistic; observed significance level, paradigmatic examples.

Module	STATISTICAL ANALYSIS WITH R - MODULE I
Lecturer	Dr. Erica Secchettin
Teaching hours	8
CFUs	1
Language	English
When/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
Notes	Lessons will be delivered in presence. At least 75% attendance is required
Course 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.
Programme	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.

Module	VALIDITY AND RELIABILITY OF MEASUREMENTS AND DIAGNOSTIC TESTS
Lecturer	Dr. Alessandro Marcon (Univr)
Teaching hours	4
CFUs	0.5
Language	English
When/where	1 March 2024, 13:00-17:00 Aula Roberto de Marco (Ist. Biologici 2, blocco B, II piano) Zoom link
Notes	Lessons will be delivered in presence + Zoom; full attendance is required. Please note: this course was previously named "Sensitivity, specificity, positive and negative predictive values of a screening test. Roc curves. Cohen’s kappa coefficient of agreement"
Course objectives	The course will provide an overview on the assessment of validity and reliability of diagnostic tests, introducing the concepts of sensitivity, specificity, positive and negative predictive values, and interobserver agreement.

INTERMEDIATE STATISTICS

Topic	INTERMEDIATE STATISTICS
CFUs	2.5
Language	English
Notes	Intermediate level statistics is organised in modules that are available to all PhD School students. Students may choose the modules to attend according to their knowledge level and interests. Attendance of at least 20 hours is required to obtain credits.

Module	INTERMEDIATE LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
Lecturers	Prof. Margherita Brondino, Univr Dr. Elisa Menardo, Univr
Teaching hours	20
CFUs	2.5
Language	English
When/where	April 9, 2024; 9:00-13:00 April 11, 2024; 9:00-13:00 April 16, 2024; 9:00-13:00 April 18, 2024; 9:00-13:00 April 19, 2024; 9:00-13:00 May 7, 2024; 10:00-11:00 Zoom link will be given to admitted students only.
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course objectives	The course aims to provide expertise that is required to perform more advanced statistical analysis, in order to interpret complex data patterns ruled by hidden or observed variables. Further, expertise for the realisation and interpretation of meta-analyses will also be provided. The course mainly targets human sciences, also with the aid of open source statistical software (R and JAMOVI).
Contents	1. ANOVA: One way ANOVA, factorial designs, repeated measure designs, mixed designs (4 hours) 2. Path analysis, Mediation and moderation analysis (4 hours) 3. Exploratory and confirmatory factor analysis (4 hours) 4. Introduction to Meta-analysis, focused on Human Sciences Research (literature review, data collection, database construction) (4 hours) 5. Application of meta-analysis in social science and humanities fields (2 hours) 6. Test on acquired expertise (2 hours)
Notes	The course will be delivered via Zoom; at least 70% attendance is required. At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area. Precedence criteria: 1. enrollment in a course of the Arts and Humanities area; 2. registration order. Intermediate level statistics provides modules that are offered to all students of the PhD School. Students can choose the modules to attend according to their interests and acquired knowledge. Attendance of at least 20 hours is required to obtain credits.

Module	STATISTICAL ANALYSIS WITH R – MODULE II
Lecturers	Dr. Erica Secchettin
Teaching hours	8
CFUs	2
Language	English
When/where	3 April, 14:00-15:00 10 April 2024, 12:00-15:00 23 April 2024, 9:00-11:00 7 May 2024, 9:00-11:00 Aula F, Istituti Biologici
Notes	Lessons will be delivered in presence. At least 75% attendance is required.
Course 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 participant to advanced tools such as graphics, data manipulation and regression analysis with R.

Module	DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER
Lecturer	Prof. Giuseppe Verlato (Univr)
Teaching hours	4
CFUs	1
Language	English
When/where	2 May 2024, 14:00 - 18:00 Aula d'Informatica, Piastra Odontoiatrica Zoom link
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course 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.

Module	GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODE
Lecturer	Prof. Lucia Cazzoletti (Univr)
Teaching hours	8
CFUs	2
Language	English
When/where	19 March 2024, 14.30-16.30 26 March 2024, 14.30-16.30 3 April 2024, 14.30-16.30 24 April 2024, 14.30-16.30 Zoom link
Notes	This course assumes a good understanding of probability and mid-level knowledge of linear regression theory. Teaching forms mainly consist of lectures (8h) and exercises proposed by the teacher. The teaching material (slides of the theoretical lessons) is made available to the students on the e-learning web page of the course (Moodle platform). Lessons will be delivered via Zoom. Full attendance is required.
Course objectives	An introduction to the fundamentals of generalized regression models will be given in this course, with a focus on models for count, binary, and categorical data. These types of response variables are widely used in industrial applications as well as observational and experimental research. Upon successful completion of the course, students will be able to: • Describe the general structure of a GLM and similarities and differences with linear models • Estimate and interpret a logistic regression model • Estimate and interpret a Poisson regression model • Know of issues and some strategies for dealing with overdispersion in some generalised linear models (GLMs)
Programme	The course covers methods for regression analysis of responses that do not follow the normal distribution, especially of discrete responses. We will learn to understand some of the common statistical methods for fitting regression models to such data. In particular, we will consider logistic regression, Poisson regression and log-linear models. The lecture focuses on the development, theoretical justification, and interpretation of these methods.

Module	SURVIVAL ANALYSIS: LOG-RANK TEST, KAPLANMEIER SURVIVAL CURVES, COX REGRESSION MODEL
Lecturer	Prof. Simone Accordini (Univr)
Teaching hours	12
CFUs	1.5
Language	English
When/where	10,11,12 June 2024, 14:00-18:00 Aula informatica Istituti Biologici Blocco A
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course objectives	The course aims at providing the theoretical and practical tools for the analysis of survival data in human populations and the associated risk factors, i.e. skills in the field of epidemiology, biostatistics and computer science applied to the analysis of biomedical data (programming syntax of a statistical software). The course is structured in theoretical and practical lessons (12h) on the use of a statistical software (STATA) for the quantitative analysis of biomedical data.
Programme	- General concepts of survival analysis: endpoint, survival time, survival function, hazard function. - Univariable analysis: Kaplan-Meier estimator, median survival time, Mantel-Haenszel test. - Multivariable analysis: Cox regression model

Module	STUDY DESIGN IN OBSERVATIONAL AND EXPERIMENTAL RESEARCH
Lecturer	Dr. Alessandro Marcon (Univr)
Teaching hours	12
CFUs	1.5
Language	English
When/where	29 March 2024, 13:00-17:00 4 April 2024, 13:00-17:00 Aula Roberto de Marco (Ist. Biologici 2, blocco B, II piano) Zoom link
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course objectives	The course will provide an overview on the main designs applied in observational (cross-sectional, cohort, case-control, ecologic) and experimental (parallel groups, cross-over, factorial) research. Strengths and limitations of these designs will be discussed.

Module	INTRODUCTION TO META-ANALYSIS, FOCUSED ON MEDICAL RESEARCH (LITERATURE REVIEW, DATA COLLECTION, DATABASE CONSTRUCTION)
Lecturer	Prof. Giuseppe Verlato (Univr)
Teaching hours	4
CFUs	1
Language	English
When/where	22 May 2024 , 14:00 - 18:00 Aula d'Informatica, Piastra Odontoiatrica Zoom link
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course objectives	The following topics will be covered: formulation of the review question, searching of literature, quality assessment of studies, data extraction, flow-chart of article selection process, according to PRISMA rules.

Module	APPLICATION OF META-ANALYSIS TO THE EPIDEMIOLOGICAL OR MEDICAL FIELD
Lecturer	Prof. Giuseppe Verlato (Univr)
Teaching hours	4
CFUs	1
Language	English
When/where	29 May 2024, 14:00 - 18:00 Aula di Informatica, Piastra odontoiatrica Zoom link
Notes	Lessons will be delivered in presence + Zoom. Full attendance is required.
Course objectives	The course will provide an overview on the main designs applied in observational (cross-sectional, cohort, case-control, ecologic) and experimental (parallel groups, cross-over, factorial) research. Strengths and limitations of these designs will be discussed.

PYTHON PROGRAMMING LANGUAGE

Title	PYTHON PROGRAMMING LANGUAGE
Lecturer	Prof. Vittoria Cozza (Univr)
Teaching hours	16
CFUs	2.5
Language	English
When/where	May 7, Aula B, Istituti Biologici May 14, Aula E, Istituti Biologici May 28, Aula F, Istituti Biologici June 4, Aula E, Istituti Biologici June 18, Sala Verde, Piramide
Learning outcomes	The course aims to provide students with the basic skills for programming a computer to solve problems using the Python language. At the end of the course the students: • will know the Python data types and data structures; • will know the core programming constructs (sequence, selection, iteration) and how to implement them in Python; • will know how to use functions and organize a Python program according to the procedural programming paradigm; • will be able to write programs that use external Python modules
Notes	At least 75% attendance is required. The course involves practical exercises; at most 24 students will be admitted.

ACADEMIC WRITING IN LATEX

Title	ACADEMIC WRITING IN LATEX
Lecturer	Prof. Enrico Gregorio (Univr)
Teaching hours	12
CFUs	2.5
Language	English
When/where	12 February 2024, 11:00-13:00 19 February 2024, 11:00-13:00 Aula C - Borgo Roma - Ca' Vignal 1 26 February 2024, 11:00-13:00 Aula A - Borgo Roma - Ca' Vignal 1 4, 11, 18 March 2024, 11:00-13:00 Sala Verde (Piramide) - Borgo Roma Zoom link Moodle page Video delle lezioni
Learning outcomes	The student will learn to prepare documents in high level typographic format.
Notes	The course will be delivered in dual mode (in presence and via Zoom). Recordings will be made available.

ACADEMIC PRESENTATION

Title	ACADEMIC PRESENTATION
Lecturer	Prof. Graziano Pravadelli (Univr)
Teaching hours	4
CFUs	1
Language	English
When/where	July 2, 16:00 - 18:00 July 4, 9:30 - 11:30 AUla H, Ca' Vignal 2
Learning outcomes	The student will learn how to organize a presentation by considering its goal, the expected audience and the time constraints.
Notes	The course will be delivered in presence only. Full attendance is required.

BASI DI DATI SCOPUS E WEB OF SCIENCE

Title	BASI DI DATI SCOPUS E WEB OF SCIENCE
Lecturer	Prof. Matteo Cristani (Univr)
Teaching hours	6
CFUs	1
Language	English
When/where	November 15, 2023 - 14:00 - 16:00 November 22, 2023 - 14:00 - 16:00 November 29, 2023 - 14:00 - 16:00 Aula G, Ca' Vignal 2, Borgo Roma Zoom link

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

SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA

Title	SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA
APPLICATIONS	Please apply at the following link (valid for all students): https://limesurvey.univr.it/index.php/123918?lang=it Deadline: November 4, 2023.
Lecturer	Dr. Donatella Boni, Elena Scanferla, Luisella Zocca
Teaching hours	10
CFUs	2.5
Language	Italiano
Where	Zoom / presenza
Programme: ARTS AND HUMANITIES	Referente: Donatella Boni Periodo: novembre / dicembre 2023 First meeting (2h): "I servizi bibliotecari e il portale Universe per la ricerca bibliografica e l’accesso alle fonti cartacee e elettroniche" (incontro rivolto ai dottorandi delle aree linguistico-letteraria, storico-artistica, umanistica), a cura di Donatella Boni Lunedì 13 novembre ore 9:00-11:00 Second meeting (2h 30m): "Risorse online per la ricerca bibliografica in ambito umanistico-letterario", a cura di Donatella Boni: lunedì 20 novembre ore 9:30-12:00 Third meeting (2h 30m): "Approfondimenti discipline specifiche" (in tre incontri distinti: ogni dottorando parteciperà a quello di interesse); a cura di Donatella Boni - Italian and Foreign Literatures/Linguistics: lunedì 27 novembre, 9:30-12:00 - Archaeology, Art History and History: lunedì 4 dicembre, 9:30-12:00 - Human Sciences: lunedì 11 dicembre, 9:30-12:00 Fourth meeting (3h): "Software per la gestione di bibliografie" Unico incontro rivolto ai dottorandi delle aree umanistico-letteraria ed economico-giuridica, a cura di Luisella Zocca martedì 5 dicembre, 8:30-11:30 Aula SMT.03 - Santa Marta Per informazioni sui corsi dell’area umanistico letteraria si prega di contattare Donatella Boni (donatella.boni@univr.it ; tel. 8455) Il seminario sarà erogato in lingua italiana e in modalità a distanza tramite Zoom (tranne l'incontro sui software per la gestione di bibliografie). Non è prevista la registrazione delle sessioni. La partecipazione richiede una pre-iscrizione (gestita dalla Segreteria della Scuola) nella quale gli interessati dovranno indicare l’area disciplinare di interesse e argomento della loro ricerca. Per il conferimento dei crediti è necessaria la frequenza del 100% delle lezioni, pari a 10 ore.
Programme: LAW AND ECONOMICS	Referente: Luisella Zocca Periodo: novembre / dicembre 2023 First meeting: “I servizi bibliotecari e il portale Universe per la ricerca bibliografica e l’accesso alle fonti cartacee e elettroniche” (2h). Incontro rivolto ai dottorandi delle aree economico-giuridica, a cura di Luisella Zocca: mercoledì 8 novembre 8:00-11:00 Aula Ardizzone, Palazzo Zitelle Second meeting: “Risorse online per la ricerca bibliografica” (2h 30m) Giurisprudenza: lunedì 20 novembre 16:30-19:00 Aula Ardizzone, Palazzo Zitelle Economia: martedì 21 novembre 9:00-12:30 Lab. SMS.4, aula informatica Santa Marta - Giurisprudenza (banche dati multidisciplinari di area linguistica italiana tedesca e anglosassone) - Economia (banche dati multidisciplinari per la ricerca economica) Third meeting (2 h 30 m): “Approfondimenti per aree disciplinari specifiche” (in due incontri distinti: ogni dottorando parteciperà a quello della propria area) Giurisprudenza: martedì 28 novembre 8:30-11:00 Aula Trabucchi, Palazzo Zitelle Economia: martedì 28 novembre 16:30-19:00 Lab. SMS.4, aula informatica Santa Marta Fourth meeting (3h): unico incontro rivolto ai dottorandi delle aree umanistico-letteraria ed economico-giuridica: TBD - in presenza “Software per la gestione di bibliografie” (sessione congiunta con i dottorandi di area economico-giuridica); a cura di Luisella Zocca martedì 5 dicembre 8:30-11:30 Aula SMT.03, Santa Marta Per informazioni sui corsi dell’area economico-giuridica si prega di contattare Luisella Zocca (luisella.zocca@univr.it; tel. 8844). Per il conferimento dei crediti è necessaria la frequenza del 100% delle lezioni. La partecipazione richiede una pre-iscrizione (gestita dalla Segreteria della Scuola) nella quale gli interessati dovranno indicare l’area disciplinare di interesse e argomento della loro ricerca.
Programme: SCIENTIFIC AREA	Referente: Elena Scanferla Periodo: 16 novembre / 14 dicembre 2023 First meeting: "I servizi bibliotecari e il portale Universe per la ricerca bibliografica e l’accesso alle fonti cartacee e elettroniche" (2 h 30 m) a cura dello staff Formazione del Polo MST – unico incontro rivolto ai dottorandi dell’Area Biomedica e dell’Area Scientifica: giovedì 16 novembre ore 14:00-16:30 Second meeting: "Le banche dati e le risorse online specifiche per l’ambito biomedico. Prima parte" (2 h 30 m) a cura dello staff Formazione del Polo MST – incontro rivolto solo ai dottorandi dell'Area Biomedica: lunedì 20 novembre ore 14:00-16:30 Third meeting: "Le banche dati e le risorse online specifiche per l’ambito biomedico. Seconda parte" (2 h 30 m) a cura dello staff Formazione del Polo MST – incontro rivolto solo ai dottorandi dell’Area Biomedica: giovedì 23 novembre ore 14:00-16:30 Second meeting: "Le banche dati e le risorse online specifiche per l’ambito scientifico. Prima parte" (2 h 30 m) a cura dello staff Formazione del Polo MST – incontro rivolto solo ai dottorandi dell'Area Scientifica: martedì 28 novembre ore 14:00-16:30 Third meeting: "Le banche dati e le risorse online specifiche per l’ambito scientifico. Seconda parte" (2 h 30 m) a cura dello staff Formazione del Polo MST – incontro rivolto solo ai dottorandi dell’Area Scientifica: lunedì 4 dicembre ore 14:00-16:30 Fourth meeting: "I software per la gestione delle bibliografie" (2 h 30 m) a cura dello staff Formazione del Polo MST - unico incontro rivolto ai dottorandi dell’Area Biomedica e dell’Area Scientifica: giovedì 14 dicembre ore 14:00-16:30 Per informazioni sui corsi dell’area medico scientifica si prega di contattare Elena Scanferla (elena.scanferla@univr.it ; tel. 7669). Per il conferimento dei crediti è necessaria la frequenza del 100% delle lezioni, pari a 10 ore. Il seminario sarà erogato in modalità a distanza tramite Zoom. Non è prevista la registrazione delle sessioni. La partecipazione richiede una pre-iscrizione (gestita dalla Segreteria della Scuola) nella quale gli interessati dovranno indicare l’area disciplinare di interesse e argomento della loro ricerca.

SPIN OFF AND START-UP: HANDS ON INTELLECTUAL PROPERTY RIGHTS

Title	SPIN OFF AND START-UP: HANDS ON INTELLECTUAL PROPERTY RIGHTS
Lecturer	Dott.ssa Valentina Nicolini, Dott. Simone Sprea, Dott. Claudio Nidasio (Liaison Office – Univr)
Teaching hours	2
CFUs	1
Language	English
Where	May 27, 10:00 - 12:00 Sala Verde, Piramide
Notes	The course will be delivered in presence only; full attendance is required.
Learning objectives	The seminar addresses some general issues that come up when high level research faces potential commercial opportunities related to Intellectual Property Rights. Some basic hints are provided, useful when dealing with the commercial side of research, trying to provide PhD student with basic concepts and tools in order to knowingly address the IP issues arising in scientific research.

GESTIONE DELLA RICERCA E VALORIZZAZIONE DEI RISULTATI

Title	THE PRINCIPLES OF PROPOSAL WRITING
Lecturers	Dott.ssa Gabriella Dessole, Dott.ssa Laura Maccari, Dott.ssa Diana Boraschi – Società di Consulenza Innovation Acta
Requirements	For 3rd year students only.
Application	Application link
Teaching hours	2
CFUs	1
When/where	19 February, 9:00-10.45 Zoom link
Language	English
Notes	The course will be delivered via Zoom. 100% attendance is required to obtain credits.

Title	HORIZON EUROPE OVERVIEW
Lecturers	Dott.ssa Gabriella Dessole, Dott.ssa Laura Maccari, Dott.ssa Diana Boraschi – Società di Consulenza Innovation Acta
Requirements	For 3rd year students only.
Application	Application link
Teaching hours	2
CFUs	1
When/where	19 February, 11:15-13.00 Zoom link
Language	English
Notes	The course will be delivered via Zoom. 100% attendance is required to obtain credits.
Programme	• Introduction to Horizon Europe instruments • Suggestion on other international funding schemes to get a Postdoc Position or other job opportunity.

Title	COMMUNICATION & DISSEMINATION IN EUROPEAN PROJECTS
Lecturers	Dott.ssa Gabriella Dessole, Dott.ssa Laura Maccari, Dott.ssa Diana Boraschi – Società di Consulenza Innovation Acta
Requirements	For 3rd year students only.
Application	Application link
Teaching hours	2
CFUs	1
When/where	20 February, 9:00-11:00 Zoom link
Language	English
Notes	The course will be delivered via Zoom. 100% attendance is required to obtain credits.
Programme	• Communication & Dissemination in European projects, an obligation by the Commission that finances them; • Efficient and effective communication and the means to manage it; • Successful case histories in European projects

Free choice activities

ETICA E RICERCA

Title	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
Lecturers	Prof.ssa Paola Cesari, Prof.ssa Silvia Savazzi (UNIVR); Prof.ssa Alessandra Minello (UNIPD)
Teaching hours	3
CFUs	1
Language	English
When/where	22 February 2024, 9:30 - 12:30 Zoom link
Notes	Registration is required at this link. Full attendance is required.
Programme	• 9.30 - Scientific Integrity Principles and Best Practice - Paola Cesari • 10:30 - Ethics in science: what's right and what's wrong - Silvia Savazzi • 11:30 - Alessandra Minello Moodle link
Learning objectives	Promote individual responsibility, that is, doing research in a transparent way, from data collection to the drafting and publication of the work. - Promote public / institutional responsibility, i.e. towards the community in the publication and dissemination of the results of their work.

Title	QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Lecturer	Prof.ssa Roberta Silva, UNIVR e relatori esterni
Teaching hours	8
CFUs	2
Language	English
When/where	28 May 2024, 16:30 – 18:30 30 May 2024, 16:30 – 18:30 24 September 2024, 14:30 - 18:30 Aula SMT.06, Santa Marta Zoom link Application email
Notes	The course will be delivered in presence.
Contents:	The course provides an in-depth study of the issues of research ethics, linking the topic to concrete application in the practical contexts of different disciplines, and has the educational objective of activating in young researchers a critical reflection that has a positive impact on their own professional actions.

DATA ANALYSIS

Title	METHODS OF EXPERIMENTAL DATA ANALYSIS AND REPORT WITH MATLAB, A GENTLE INTRODUCTION
Lecturer	Prof. Giuseppe Bertini (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento)
Teaching hours	16 (8 lessons 2 hours each)
CFUs	2.5
Language	English
When/where	May 2, 7, 10, 14, 17, 24, 28; June 7 Zoom link Registration link
Notes	Attendance of at least 12 hours is required.
Contents:	Matlab is a numerical computing environment and high-level programming language. In the context of biomedical research, Matlab can be used to automate a wide variety of tasks, including record keeping, data analysis, and report generation. Matlab favors scripting, i.e., writing in a text file a sequence of commands that can be executed reliably and consistently. Used properly, this method can be orders of magnitude more efficient and error-proof than interactive sessions with the most common computing platforms (e.g., Excel, SPSS, etc.) A well-tested script can be seamlessly run against any number of datasets and applied to similar experimental situations. Importantly, the scripts themselves represent accurate documentation of the performed analyses. While a relatively steep learning curve is inevitable, especially in the absence of anyc omputer programming background, Matlab can be mastered in small, incremental steps. This mini course is intended as a general introduction to the concept of automated data analysis and report. The Matlab interface and the fundamentals of the scripting language will be presented first. A small set of common data analysis problems will then be tackled in the Matlab environment. Please note that the available time is not sufficient to provide a detailed, in-depth knowledge of the language. My goal is to demystify the technology and provide insight into what can be accomplished and what the main hurdles are. Further training will be required to become fully proficient.

TEMI SPECIFICI

Title	IMAGING TECHNIQUES FOR BODY COMPOSITION ANALYSIS
Lecturer	Prof. Carlo Zancanaro (UNIVR – Corso di Dottorato in Nanoscienze e Tecnologie Avanzate)
Teaching hours	4
CFUs	1
Language	English
When/where	22-23 April 2024, 14:00 - 16:00 Zoom link
Notes	Full attendance is required. Lessons will be delivered via Zoom.
Contents:	Two state-of-the-art methods for body composition analysis (DXA and 3D scanning) will be illustrated in their technical and operational aspects. The most relevant clinical correlations of both methods will also be presented.

Title	IL SONNO E I SUOI DISTURBI: FOCUS SULLE PARASONNIE E I DISTURBI DEL MOVIMENTO IN SONNO
Lecturer	Prof.ssa Elena Antelmi (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento)
Teaching hours	4
CFUs	1
Language	Italiano
When/where	23 and 30 September, 15:00 - 17:00 Auletta di Neuropatologia, Policlinico G.B. Rossi
Notes	The course will be delivered in presence; full attendance is required.
Contents:	Basi neurofisiologiche e caratteristiche cliniche di alcuni disturbi del sonno, in particolare delle parasonnie REM NREM e dei disturbi del movimento sonno relati.

Title	DIFFERENTIAL DIAGNOSIS OF DEMYELINATING DISEASES OF THE CENTRAL NERVOUS SYSTEM
Lecturer	Prof. Alberto Gajofatto (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento, UNIVR)
Teaching hours	8
CFUs	2
Language	English
When/where	13 and 27 March, 14:30-18:30 Neurologia, Ospedale Borgo Roma, Settore F, 7° piano Zoom link
Notes	The maximum number of participants should not exceed 30 to allow for effective interaction. Attendance of at least 50% of the course (at least one out of two lectures) is required in order to receive credits. The course will consist of two lectures of 4h each.
Contents:	- lezione 1: sclerosi multipla e diagnosi differenziale delle malattie demielinizzanti del sistema nervoso centrale - lezione 2: neuromielite ottica (NMOSD) e MOGAD

Title	THE PATHWAY OF OXYGEN: CAUSE OF HYPOXEMIA
Lecturer	Prof. Carlo Capelli (Corso di Dottorato in Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento, UNIVR)
Teaching hours	4
CFUs	1
Language	English
When/where	January 22, 2024, 9.00 - 12:00 Aletta Seminari, edificio ex ISEF, Via Casorati
Notes	4 hours of lectures divided into two modules of 2 hours each. Full attendance is required.
Contents:	Lo scopo di queste due lezioni/seminari è di illustrare quali siano le principali cause di ipossiemia nell’uomo: ipossia, ipoventilazione, diminuità capacità di diffusione polmonare per l’ossigeno, alterazione del rapporto ventilazione – perfusione.

Title	THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Lecturer	Prof.ssa Luigina Mortari (UNIVR), Dott.ssa Rosi Bombieri (UNIVR), Dott. Marco Ubbiali (UNIVR), Dott.ssa Federica Valbusa (UNIVR) – Corso di Dottorato in Scienze Umane
Teaching hours	8
CFUs	2
Language	English
When/where	October 19 2023, 14:00-18:00 October 20 2023, 9:00-13:00 Sala seminari 3 (chiostrino Santa Maria delle Vittorie)
Notes	Full attendance is required.
Contents:	The seminar will present the Empirical phenomenological Method elaborated by Luigina Mortari as an innovative approach for qualitative research. After presenting its theoretical foundation, starting from Husserlian concepts, the seminar will propose three applications of the method in educational and in healthcare fields. The seminar will be structured in 4 modules: • Empirical Phenomenological Method (EPM): theoretical foundation (2 hours): Luigina Mortari • EPM and eidetic research questions: examples of application in the educational field (2 hours): Marco Ubbiali • EPM and narrative research questions: examples of application in the educational field (2 hours): Federica Valbusa • EPM and narrative research questions: examples of application in the healthcare field (2 hours): Rosi Bombieri At the end of the seminar the PhD students will be able to understand the theoretical underpinnings of the choice of a research method, will know the foundation of a method able to investigate the lived experience of people and, after the discussion of three implemented inquiries, will have the possibility to reflect on the concrete instruments and steps for carrying out qualitative research. The faculties will dedicate time for the class debate and will be glad to discuss with the PhD students about their research projects.

Title	OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Lecturer	Dott. Michele Scandola (UNIVR)
Teaching hours	8
CFUs	2
Language	English
When/where	March 1, 9:00-13.20; 14:30-16:10 March 8, 9:00-13.20; 14:30-16:10 Aula Messedaglia - Chiostro S. Maria delle Vittorie Moodle link
Notes	Full attendance is required. Test with multiple-choice answers at the end of Day 1. Evaluation at the end of Day 2. Possibility of attending Day 1 only.
Contents:	• First day (4 hours – 1CFU): - The reproducibility crisis in scientific research, a new research paradigm - Open science practices: From registered reports to large-scale collaborative projects - Structuring experimental data: rethinking data acquisitions to enable replications. - Multiverse analysis. • Second day (4 hours – 1 CFU): - Practical simulation of pre-registration - Organization of a data-set according the FAIR principles - Practical simulation of multiverse analysis.

SKILLS

Title	DOING INTERVIEWS IN QUALITATIVE RESEARCH
Lecturer	Prof.ssa Chiara Sità (UNIVR)
Teaching hours	6
CFUs	1.5
Language	English
When/where	January 16 2024: 10:00-12:00 (introduction) January 22 2024: 9:00-13:00 (workshop) Aula Megalizzi, Palazzo di Lettere Nuovo Moodle link
Notes	The course will be delivered in presence; full attendance is required. Its possible to attend the first day only.
Contents:	Introduction: Interview research design (2 hours): 0.5 CFU Workshop: constructing an interview guide (4 hours): 1 CFU

Title	APPROCCI E METODOLOGIE PARTECIPATIVE NELLA RICERCA CON GLI ATTORI DEL TERRITORIO
Lecturer	Prof.ssa Antonietta De Vita (UNIVR), Francesco Vittori (UNIVR) e Cristiana Zara (UNIVR) (Corso di Dottorato in Scienze Umane)
Teaching hours	6
CFUs	1.5
Language	English
When/where	December 20, 2023 - 9:00 – 15.00 Aula LabSum, Palazzo Zorzi
Notes	The course will be delivered in presence, with at most 25 students.
Contents:	The workshop aims to provide a concrete opportunity to address participatory research approaches and methodologies. Drawing on our own experiences of field research in India, Brazil and Italy over the past decade, we will delve into the theories, practicalities and issues involved in doing participatory research. By sharing and discussing actual research examples and experiences, we will bring out theories of participatory social research, which value the researcher’s experience and positionality, and their relations in - and with - the field. The workshop will involve students’ active participation. Those who intend to participate will be asked to prepare a 3-minute ‘Show & Tell’ presentation to introduce themselves and their PhD project to the group through a photo, an object, a song, or a literary quote they deem representative of their research. They will also be asked to bring something to eat or drink to share with other colleagues during the World Café activity planned for the early afternoon. And a cup.

Title	BUSINESS MODEL CANVAS PILL
Lecturer	Organised by INVITALIA.
Teaching hours	6
CFUs	1.5
Language	English
When/where	June 18, 10:00 - 13:00 Hub Invitalia, Via Campofiore, 19/B, Verona
Notes	The course will be delivered in dual mode; attendance in presence is preferred, as it is highly experiential.
Contents:	Comprendere gli elementi chiave della Imprenditorialità: • capacità di agire sulla base di idee e opportunità e di trasformarle in valori per gli altri • capacità di pensiero critico e l’iniziativa • capacità di lavorare in modalità collaborativa al fine di programmare e gestire progetti che hanno un valore culturale, sociale o finanziario Contenuti principali Conoscere lo strumento del Canvas: • Il Mercato: il cliente e chi mi paga • L’offerta: il valore e per cosa mi pagano • I concorrenti: chi soddisfa il bisogno oggi • Le risorse: cosa so fare e cosa mi serve • Il vantaggio competitivo: differenziazione vs costo • M.e.t.a.: come cresce l’azienda COMPETENZA TARGET: IMPRENDITORIALITÀ

Title	IMPARA IL MARKETING DIGITALE
Lecturer	Organised by INVITALIA.
Teaching hours	6
CFUs	1.5
Language	English
When/where	June 18, 14:00 - 17:00 Invitalia Hub, Via Campofiore 19b, Verona
Notes	The course will be delivered in dual mode; attendance in presence is preferred, as it is highly experiential.
Contents:	Knowing the main digital marketing tools. Choosing the most suitable web marketing tool for your project according to your objectives, target group and budget. Taking the first steps and find the direction to create your own online business strategy. Saving time and money by knowing how to choose reliable strategies and partners. Main contents - How search engines work - What are keywords - What SEO is for and what article marketing is - How to run digital campaigns - How to measure the effectiveness of a campaign - Basics of Social Media Marketing - The Web Marketing mix TARGET COMPETENCE: WEB MARKETING

Title	LA POESIA ITALIANA ALL’ESTERO
Lecturer	Prof. Massimo Natale (UNIVR)
Teaching hours	4
CFUs	1
Language	Italiano
When/where	March 21, 2024, 14:00-18:00 Aula Olimpia, Palazzo di Lettere Zoom link
Notes	Il corso verrà erogato in modalità mista; è richiesta la partecipazione al 100%.
Contents:	Il corso intende proporre un quadro della fortuna della poesia italiana all’estero (Europa e America), concentrandosi in particolare su Leopardi e sul Novecento.

Title	LA COMUNICAZIONE UMANISTICA: OPPORTUNITÀ E RISCHI
Lecturer	Prof.ssa Lucia Rodler (Università di Trento)
Teaching hours	4
CFUs	1
Language	Italiano
When/where	February 29 2024, 14:00-18:00 Aula Olimpia, Palazzo di Lettere Zoom link
Notes	The course will be delivered in dual mode; full attendance is required.
Contents:	La divulgazione umanistica: la cultura umanistica non gode più del prestigio di un tempo. Perché? È una questione di contenuti o di comunicazione? Che differenza c’è tra “divulgazione”, “diffusione” e “disseminazione”? Quali opportunità e quali rischi indicano? Il corso suggerisce alcune risposte e pone altre domande sulla comunicazione pubblica della cultura umanistica.

Teaching Activities Catalogue - Academic Year 2023-24

Teaching Activities ex DM 226/2021: Linguistic Activities

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

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

Free choice activities

Sportello Ateneo

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Title	ENGLISH LEVEL B1
CFUs	2.5
Notes	The course is organised by the CLA. For information, students will have to contact the CLA offices.

Title	ENGLISH LEVEL C1 - Reserved to PhD Students
CFUs	2.5
Hours	90 (50 + 40)
Lecturer	Paul Filippetto Manuela Ponda
Notes	The course is organised by the CLA. For information, students will have to contact the CLA offices. The course is preparatory for the courses "English for Academic Writing/Presentation skills". Attendance is not mandatory, but highly recommended. The course is split in two half-year periods: 1st period (50 hours); final computer-based test is required; 2nd period (40 hours); final written and oral test is required. The course will be delivered via Zoom. Dates and Timetable (Veronetta): Tuesday, 17.00-18.40 and Wednesday, 17.30-19.10; lecturer Paul Filippetto Dates and Timetable (Borgo Roma): Tuesday, 8.30-10.10 and Thursday, 8.30-10.10; lecturer Manuela Pola Ponda First lesson: September 26, 2023.

Teaching Activities Catalogue - Academic Year 2023-24

Teaching Activities ex DM 226/2021: Linguistic Activities

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

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

Free choice activities

Sportello Ateneo

Contatti

Aree Riservate

Infochat Studenti - Assistente Virtuale

InfoChat Studenti