Teaching Activities Catalogue - Academic Year 2021-2022
Activities ex D.M. 226/2021- PhD Schools
- Programma dei Corsi della Scuola di Dottorato 2021-22
Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).
Latest update: June 16th, 2022
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.
Activities are also scheduled in the online calendar.
Teaching Activities ex DM 226/2021: Linguistic activities
Content description (in common for all Areas) | |||
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20 January 2022 | 21 January 2022 | 24 January 2022 | 25 January 2022 |
Focus on language: Focus on citation strategies: |
Focus on writing skills and style: 1) Grammar and vocabulary for academic writing: verb tenses; word order; the use of articles; link words; punctuation; 2) Structuring sentences and paragraphs: clarity, coherence and conciseness; hedging and criticising; defining, comparing, evaluating and highlighting. |
Review and Reflection: Focus on introductory texts: |
Focus on abstracts: Analysis and Practice: |
Title | ENGLISH FOR ACADEMIC WRITING SKILLS – (English Advanced Level) Area: Arts and Humanities |
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Lecturer | Dr. Dora Renna |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level C1 |
When and Where? | 20 January 2022, 9:45-12:00 (10 mins break), Room: 2.2 – Veronetta – Palazzo Lettere Nuovo 21 January 2022, 9:45-12:00 (10 mins break), Room: 2.1 – Veronetta – Palazzo Lettere Nuovo 24 January 2022, 9:45-12:00 (10 mins break), Room: 2.2 – Veronetta – Palazzo Lettere Nuovo 5 January 2022, 14:30-16:45 (10 mins break), Room: 2.1 – Veronetta – Palazzo Lettere Nuovo |
Link for registration | https://limesurvey.univr.it/index.php/889528?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC WRITING SKILLS – (English Advanced Level) Area: Law and Economics |
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Lecturer | Dr. Emanuela Tenca |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level C1 |
When and Where? | 20 January 2022, 9:45-12:00 (10 mins break), Room: 2.2 – Veronetta – Palazzo Lettere Nuovo 21 January 2022, 9:45-12:00 (10 mins break), Room: 2.1 – Veronetta – Palazzo Lettere Nuovo 24 January 2022, 9:45-12:00 (10 mins break), Room: 2.2 – Veronetta – Palazzo Lettere Nuovo 5 January 2022, 14:30-16:45 (10 mins break), Room: 2.1 – Veronetta – Palazzo Lettere Nuovo |
Link for registration | https://limesurvey.univr.it/index.php/889528?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC WRITING SKILLS – (English Advanced Level) Area: Life and Health Sciences |
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Lecturer | Dr. Mary Birkett |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level B2 |
When and Where? | 20 January 2022, 9:45-12:00 (10 mins break), Room: Ist. Biologici, Aula A 21 January 2022, 9:45-12:00 (10 mins break), Room: Ist. Biologici, Aula Dal Forno 24 January 2022, 9:45-12:00 (10 mins break), Room: Ist. Biologici, Aula Dal Forno 25 January 2022, 14:30-16:45 (10 mins break), Room: Ist. Biologici, Aula Dal Forno |
Link for registration | https://limesurvey.univr.it/index.php/889528?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC WRITING SKILLS – (English Advanced Level) Area: Natural Sciences and Engineering |
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Lecturer | Dr. Daniela Vescio |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level B2 |
When and Where? | 20 January 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Piramide Cà Vignal 21 January 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Piramide Cà Vignal 24 January 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Piramide Cà Vignal 25 January 2022, 14:30-16:45 (10 mins break), Room: Sala Verde, Piramide Cà Vignal |
Link for registration | https://limesurvey.univr.it/index.php/889528?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Content description (in common for all Areas) | |||
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1 February 2022 | 2 February 2022 | 3 February 2022 | 4 February 2022 |
Focus on Public Speaking: 1) Fears and advice; |
Focus on software support: 1) Why use software?; Developing slides/frames: |
Presentation of slides/frames 1: Focus on question and answer sessions: |
Focus on language for data presentation: 1) Presenting graphs and visuals; Presentation of slides/frames 2: |
Title | ENGLISH FOR ACADEMIC PRESENTATION SKILLS – (English Advanced Level) Area: Arts and Humanities |
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Lecturer | Dr. Dora Renna |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level C1 |
When and Where? | 1 February 2022, 9:45-12:00 (10 mins break), Room: 2.1 – Veronetta – Palazzo Lettere Nuovo 2 February 2022, 9:45-12:00 (10 mins break), Room: 2.3 – Veronetta – Palazzo di Lettere Nuovo 3 February 2022, 9:45-12:00 (10 mins break), Room: T6 – Palazzo di Lingue 4 February 2022, 9:45-12:00 (10 mins break), Room: T6 – Palazzo di Lingue |
Link for registration | https://limesurvey.univr.it/index.php/687575?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC PRESENTATION SKILLS – (English Advanced Level) Area: Law and Economics |
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Lecturer | Dr. Sara Corrizzato |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level B2 |
When and Where? | 1 February 2022, 9:45-12:00 (10 mins break), Room: SMT.10 - Veronetta - Santa Marta 2 February 2022, 9:45-12:00 (10 mins break), Room: SMT.10 - Veronetta - Santa Marta 3 February 2022, 9:45-12:00 (10 mins break), Room: SMT.10 - Veronetta - Santa Marta 4 February 2022, 9:45-12:00 (10 mins break), Room: SMT.10 - Veronetta - Santa Marta |
Link for registration | https://limesurvey.univr.it/index.php/359688?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC PRESENTATION SKILLS – (English Advanced Level) Area: Life and Health Sciences |
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Lecturer | Dr. Mary Birkett |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level B2 |
When and Where? | 1 February 2022, 9:45-12:00 (10 mins break), Room: 1.01 - Borgo Roma - Ca' Vignal 3 2 February 2022, 9:45-12:00 (10 mins break), Room: 1.01 - Borgo Roma - Ca' Vignal 3 3 February 2022, 9:45-12:00 (10 mins break), Room: 1.01 - Borgo Roma - Ca' Vignal 3 4 February 2022, 9:45-12:00 (10 mins break), Room: 1.01 - Borgo Roma - Ca' Vignal 3 |
Link for registration | https://limesurvey.univr.it/index.php/678421?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Title | ENGLISH FOR ACADEMIC PRESENTATION SKILLS – (English Advanced Level) Area: Natural Sciences and Engineering |
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Lecturer | Dr. Daniela Vescio |
Teaching hours | 10 (2.5 per day) + 5 in e-learning mode |
CFUs | 2.5 |
Requirements | English level B2 |
When and Where? | 1 February 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Cà Vignal 2 February 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Cà Vignal 3 February 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Cà Vignal 4 February 2022, 9:45-12:00 (10 mins break), Room: Sala Verde, Cà Vignal |
Link for registration | https://limesurvey.univr.it/index.php/187378?lang=it |
Additional information | 70% attendance and a final assignment are required to obtain the credits. |
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
Title | BASIC LEVEL STATISTICS | ||||
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CFUs | 2.5 (1 CFU = 8 hours) | ||||
Language | English | ||||
Description | The course is structured in modules, which are open to all students but recommended for specific areas. Each student may compose modules according to their interests and acquired knowledge. | ||||
Teaching hours | Each student will attend modules for at least 20 hours |
MODULES RECOMMENDED FOR HUMAN SCIENCES
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? | |
Introduction to empirical research (measurement issues, research designs, data collection) | 4/0.5 | 22/10/2021, 9-13 |
Meeting ID: 818 5521 7757 |
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Introduction to statistics: Descriptive statistics (univariate and bivariate) and graphical representation (Excel and Jamovi) | 8/1 |
As above |
28/10/2021, 9-13 29/10/2021, 9-13 |
As above |
|
Simple and multiple linear regression analysis and hierarchical regression | 8/1 |
As above |
3/11/2021, 9-13 5/11/2021, 9-13 |
As above |
|
Null hypothesis testing t-test, Chi-square One way ANOVA | 8/1 |
As above |
25/11/2021, 9-13 26/11/2021, 9-13 |
As above |
|
Attendance/Assessment | At least 5 meetings (= 20 hours) must be attended in order to achieve 2.5 CFUs. Those who already possess the skills shall take an interview with the teachers. Passing the interview allows the acquisition of the 2.5 CFUs without attendance. Attendance at the course and passing a final exam are required to access the ensuing Intermediate Level Statistics Course. |
MODULES RECOMMENDED FOR ECONOMICS
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? |
Introduction to Probability - module I | 8/1 | 10/11/2021, 14-18 7/11/2021, 14-18 |
Lessons delivered via Zoom, recordings will also be available. Enrollment at |
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Introduction to Probability - module II | 8/1 | Prof. Marco Minozzo | 26/11/2021, 14-18 27/12/2021, 14-18 |
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Introduction to Statistical Inference | 8/1 | Prof. Marco Minozzo | 22/02/2022, 14-18 24/02/2022, 14-18 |
Lessons delivered via Zoom only.
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Statistical Analysis With R - module I | 8/1 | Prof. Flavio Santi |
17/03/2022, 14:30 - 16:30 |
Zoom link (Zoom only) |
MODULE RECOMMENDED FOR LIFE AND HEALTH SCIENCES
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? |
Validity and reliability of measurements and diagnostic tests |
4/0.5 | Prof. Alessandro Marcon |
10/03/2022, 10:00 - 12:00 |
Ist. Biologici 2, blocco B – Aula Roberto de Marco |
Further information about specific modules:
INFORMATION: INTRODUCTION TO PROBABILITY (MODULES I AND II) | |||||
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Lecturer | Prof. Marco Minozzo | ||||
Language |
English |
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Requirements | There are no particular learning requirements. It is advisable that students have already been introduced to probability and statistics, even at an elementary level. It is also advisable that students have some confidence with elementary set theory and mathematical calculus. | ||||
Attendance/ assessment | - Presence to the lessons is not mandatory. - The final assessment will be through a written paper. |
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Lessons | Lessons delivered via Zoom. Recordings will also be available. Information, links and recordings available here after enrolling here. |
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Modules contents |
Module I: |
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Learning outcomes |
Module I: 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 II: |
INFORMATION: INTRODUCTION TO STATISTICAL INFERENCE | |||||
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Lecturer | Prof. Marco Minozzo | ||||
Requirements | There are no particular learning requirements. It is advisable that students have already been introduced to probability and statistics, even at an elementary level. It is also advisable that students have some confidence with elementary set theory and mathematical calculus. | ||||
Attendance/ assessment | - Presence to the lessons is not mandatory. - The final assessment will be through a written paper. |
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Learning outcomes |
- Multidimensional random variables |
INFORMATION: STATISTICAL ANALYSIS WITH R – MODULE I | |||||
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Lecturer | Prof. Flavio Santi | ||||
Requirements | None | ||||
Attendance/ assessment | Full attendance is required. | ||||
Module contents | 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. |
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Learning outcomes |
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. |
INFORMATION: SENSITIVITY, SPECIFICITY, POSITIVE AND NEGATIVE PREDICTIVE VALUES OF A SCREENING TEST. ROC CURVES. COHEN’S KAPPA COEFFICIENT OF AGREEMENT | |||||
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Lecturer | Prof. Alessandro Marcon | ||||
Requirements | None | ||||
Attendance/ assessment |
In presence, 100% attendance required; no exam required. |
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Language | English | ||||
Description |
Validity and reliability of measurements and diagnostic tests: 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. |
Title | INTERMEDIATE STATISTICS | ||||
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CFUs | 2.5 (1 CFU = 8 hours) | ||||
Language | English | ||||
Description | The course is structured in modules, which are open to all students but recommended for specific areas. Each student may compose modules according to their interests and acquired knowledge. | ||||
Teaching hours | Each student will attend modules for at least 20 hours. |
MODULES RECOMMENDED FOR HUMAN SCIENCES
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? |
ANOVA: factorial designs, repeated measures | 4/0.5 | 10/12/2021, 14-18 | ||
Path analysis, Mediation and moderation analysis | 4/0.5 |
As above |
13/01/2022, 9-13 |
As above |
Introduction to Meta-analysis, focused on Human Sciences Research (literature review, data collection, database construction) | 4/0.5 | 14/01/2022, 9-13 |
As above |
|
Application of meta-analysis in social science and humanities fields | 8/1 |
As above |
25/11/2021, 9-13 26/11/2021, 9-13 |
As above |
Exploratory and confirmatory factor analysis | 8/1 | As above | 27/01/2022, 9-13 03/02/2022, 9-13 | As above |
MODULE RECOMMENDED FOR ECONOMICS
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? |
Statistical Analysis With R - module II | 8/1 |
28/04/2022, 14.30 - 16.30; |
MODULES RECOMMENDED FOR LIFE AND HEALTH SCIENCES
TITLE | HOURS / CFUs | LECTURER(S) | WHEN? | WHERE? |
Determination of sample size to achieve a predefined precision or power | 4/0.5 | Giuseppe Verlato | March 15, 17; 15.00 - 17.00 June 13, 15; 15:00 - 17:00 June 21, 23; 15:00 - 17:00 |
Ist. Biologici blocco A - Aula Informatica |
Generalized Linear models: logistic regression, loglinear model, Poisson model | 8/1 | Lucia Cazzoletti | April 21, May 5; 14:30 - 16:30 | Ist. Biologici 2, blocco A – Aula E |
April 28; 14:30 - 16:30 | Aula F - Borgo Roma - Lente Didattica | |||
May 12; 14:30 - 16:30 | Aula F - Borgo Roma - Istituti Biologici Blocco A | |||
Survival analysis: log-rank test, KaplanMeier survival curves, Cox regression model | 12/1.5 | Simone Accordini | June 7-9; 14.00 - 18.00 | Aula informatica - Borgo Roma - Istituti Biologici Blocco A Zoom link |
Study design for observational studies (cross-sectional, cohort, case-control, ecologic) or experimental studies (parallel groups, cross-over, factorial) | 8/1 | Alessandro Marcon |
May 10, 11; 10:00 - 12:00 May 17, 18; 10:00 - 12:00 |
Ist. Biologici 2, blocco B – Aula Roberto de Marco Ist. Biologici 2, blocco A – Aula F |
Introduction to Meta-analysis, Focused on Medical Research (literature review, data collection, database construction) | 4/0.5 | Giuseppe Verlato |
June 13, 15; 15:00 - 17:00 |
Ist. Biologici blocco A - Aula Informatica |
Application of meta-analysis to the epidemiological or medical field | 4/0.5 | Giuseppe Verlato | June 21, 23; 15:00 - 17:00 | Ist. Biologici blocco A - Aula Informatica |
Further information about specific modules:
INFORMATION: ALL MODULES RECOMMENDED FOR HUMAN SCIENCES | |||||
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Lecturers | Prof. Margherita Pasini, Dr. Margherita Brondino, Dr. Elisa Menardo | ||||
Enrolment Requirements | Attendance at the Basic Level Statistics for Human Sciences course and passing the final exam are required to access the Intermediate Level Statistics Course. Those who already possess the skills that are the subject of training for the Basic Course will be able to access the Intermediate Level Course without attending the Basic Course, after an interview with the teachers. | ||||
Attendance/ Assessment | TBD |
INFORMATION: STATISTICAL ANALYSIS WITH R – MODULE II | |||||
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Lecturer | Dr. Flavio Santi | ||||
Requirements | None | ||||
Attendance/ assessment | Full attendance is required. | ||||
Module contents |
1. Standard graphics, advanced graphics and automated reports: R package management; standard R graphics and the grammar of graphics implemented in ggplot2; RMarkdown and an introduction to automated reports. |
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Learning outcomes |
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. |
INFORMATION: ALL THE MODULES RECOMMENDED FOR LIFE AND HEALTH SCIENCES | |||||
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Lecturers | Prof. Giuseppe Verlato, Prof. Simone Accordini, Dr. Lucia Cazzoletti, Dr. Alessandro Marcon | ||||
Requirements | none | ||||
Attendance/ assessment |
In presence, 100% attendance required / No exam |
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Modules contents |
(Prof. Verlato): Determination of sample size to achieve a predefined precision or power 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. (Dr. Cazzoletti): Generalized Linear models: logistic regression, loglinear model, Poisson model 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:
(Prof. Accordini): Survival analysis LEARNING OUTCOMES 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). SYLLABUS 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. The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).
(Dr. Marcon): Study design in observational and experimental research 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. (Prof. Verlato): Introduction to Meta-analysis, Focused on Medical Research (literature review, data collection, database construction) 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. (Prof. Verlato): Application of meta-analysis to the epidemiological or medical field The course will present examples of meta-analyses performed in the medical field, with special reference to: publication/small series bias; prevalence estimates; evaluation of diagnostic tools. |
Title | PYTHON PROGRAMMING LANGUAGE | ||||
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Lecturer | Vittoria Cozza | ||||
Language | English | ||||
Teaching hours | 20 | ||||
CFUs | 2.5 | ||||
When/where |
March 25 2022, 11:00-13:00 Dual mode (in-person and via Zoom). Recordings will be available. Room: TBD Zoom link: https://univr.zoom.us/j/85757694625 |
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Course contents |
Introduction to computer programming. Usage of advanced libraries in order to: |
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Learning outcomes |
The attendees will become able to write exploratory data analysis scripts. Moreover, they will be able to understand and modify python code snippets, for their research needs. |
Title | ACADEMIC WRITING IN LATEX | ||||
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Lecturer | Prof. Enrico Gregorio | ||||
Teaching hours | 12 | ||||
CFUs | 2 | ||||
When | 17, 19, 24, 26 January 2022, 14:30-17:30 | ||||
Where | Dual mode (in-person and via Zoom). Recordings will be available. Sala verde - Ca’ Vignal 3 – Piramide. Zoom link Meeting ID: 823 4163 4622 Passcode: 690326 |
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Course contents | Presentation of the LaTeX system for computer typography and of the basic structure of the language and its features. | ||||
Learning outcomes | Ability to prepare documents in high level typographic format. |
Title | BASI DI DATI SCOPUS E WEB OF SCIENCE | ||||
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Lecturer | Prof. Matteo Cristani | ||||
Requirements | None. | ||||
Attendance | Full attendance is requested. | ||||
Teaching hours | 6 | ||||
CFUs | 1 | ||||
When | 23/03/2022, 14:00 - 16:00 25/03/2022, 14:00 - 16:00 30/03/2022, 14:00 - 16:00 |
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Where | Aula T.04, Ca' Vignal 3 | ||||
Course contents | The course is articulated in three lectures, on three different topics, that will be dealt with in interlacing: how to search for a given literature within the Scopus or Clarivate search engines, how to identify quality references within a search, how to look for a referential set of publications as a starting point of a study in a given area. | ||||
Learning outcomes | The students will finally be able to: 1) Search effectively for literature references in bibliographic search engines; 2) Build a set of relevant papers to be employed in their PhD thesis, and in general when writing scientific material; 3) Explore a given topic to identify the most prominent publications in order to investigate the topic in an initial or in a deep manner. |
Title | ACADEMIC PRESENTATION | ||||
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Lecturer | Prof. Graziano Pravadelli | ||||
Teaching hours | 4 | ||||
CFUs | 1 | ||||
Language | English | ||||
Attendance/assessment | 100% attendance required, in presence. Assessment is not required. | ||||
When | 01/06/2022 09:00-11:00 08/06/2022 09:00-11:00 |
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Where | In person, Aula Magna Gavazzi - Borgo Roma - Ex Area Gavazzi | ||||
Course contents | Presentation outline, Presentation styles, Planning of the overall presentation and of each single slide, Taking care of time and audience, Best practices and errors to avoid. | ||||
Learning outcomes | The student will learn how to organize a presentation by considering its goal, the expected audience and the time constraints |
Title | SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA | ||||
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Lecturer | Dr. Donatella Boni, Elena Scanferla, Luisella Zocca | ||||
Teaching hours | 10 (4 meetings of which 3 in common for all participants; 1 specific for different Areas) | ||||
CFUs | 2.5 | ||||
Language | Italian | ||||
When/where |
1) First meeting (2 hours, Dr. Boni), aimed at all participants: 2) Second meeting (3 hours), differentiated for areas: 3) Third meeting (2 hours, Dr. Zocca), aimed at all participants: 4) Fourth meeting (2 hours), aimed at all participants: End of February 2022 (awaiting further info by the Lecturers) |
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Description | 1) First meeting: “Spazi e servizi delle biblioteche, portale Universe”; 2) Second meeting: “Banche dati e laboratori di ricerca bibliografica per aree disciplinari specifiche”; 3) Third meeting: “Software per la gestione di bibliografie”; 4) Fourth meeting: “Domande e risposte e laboratorio interattivo” |
Teaching Activities ex DM 226/2021: Research management and Enhancement
Title | The Marie Sklodowska-Curie Postdoctoral Fellowships |
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Lecturer | Dr. Alessio Lorenzi and staff of UO Promozione e Sviluppo della Ricerca |
Requirements | For 3rd year students only. |
Teaching hours | 2 hours |
CFUs | 1 |
Language | English |
Attendance/ Assessment | Full attendance and a final test are required to obtain the credits |
When? | May 25th, 14.30 - 16.30 |
Where? | Event delivered via Zoom. |
Description | The webinar is dedicated to the Marie Sklodowska-Curie Postdoctoral Fellowships, one of the most famous funding opportunities under the EU framework programme Horizon Europe for researchers after their PhD. The webinar will introduce the overall objectives of this funding opportunities and present the main features of the call 2022 for the Marie Sklodowska-Curie Postdoctoral Fellowships. It is meant both for researchers with a PhD title as well as PhD candidates in order to be plan their career after the PhD and get acquainted with a typical research grant. |
Title | Introduction to Horizon Europe |
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Lecturer | Dr. Alessio Lorenzi and staff of UO Promozione e Sviluppo della Ricerca |
Requirements | For 3rd year students only. |
Teaching hours | 2 hours |
CFUs | 0.5 |
English | |
Attendance/ Assessment | Full attendance and a final test are required to obtain the credits |
When? | June 22nd,10.00 - 12.00 |
Where? | Event delivered via Zoom and in presence; Aula SMT.02 - Santa Marta Zoom link |
Description | Horizon Europe is the EU funding programme dedicated to research and innovation for the period 2021-2027. The webinar will introduce the PhD candidates to the main features and novelties of Horizon Europe and will offer an overview of its architecture in three pillars: Excellent Science (which includes the well-known European Research Council grants and the Marie Sklodowska-Curie actions), Global Challenges and European Industrial Competitiveness; and Innovative Europe. We will also provide the PhD candidates with hints on how to find information and keep up-to-date to fund their research and so enhance their career. |
Title |
START – UP AND SPIN-OFF: HANDS ON INTELLECTUAL PROPERTY RIGHTS |
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Lecturer | Avv. Stefano Ferro, Ing. Marco Lissandrini |
Requirements | For 3rd year students only. |
Teaching hours | 2 |
CFUs | 1 |
When/where? | 28 April 2022, 09.00:13.00 Sala Verde (Piramide) - Borgo Roma - Ca' Vignal 3 Zoom link |
Module contents |
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. |
Title |
INTELLECTUAL PROPERTY: BASICS OF PATENTS, TRADEMARKS AND DESIGN |
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Lecturer | Avv. Stefano Ferro, Ing. Marco Lissandrini |
Requirements | For 3rd year students only. |
Teaching hours | 2 |
CFUs | 1 |
When/where? | 28 April 2022, 09.00:13.00 Sala Verde (Piramide) - Borgo Roma - Ca' Vignal 3 |
Module contents |
How to use Intellectual Property rights for fostering and protecting innnovation, distinctiveness and reputation. |
Free choice activities
Title | SEMINARIO SUGLI ORGANI DI GARANZIA IN MATERIA DI PARI OPPORTUNITÀ E PREVENZIONE DI FENOMENI DI DISCRIMINAZIONE O DI MOBBING |
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Lecturer | Dr. Francesca Torelli (Consigliera di Fiducia) |
Teaching hours | 3 |
CFUs | 1 |
When/where? | 11 May 2022 10.00 - 13.00 Aula Vettore - Borgo Roma - Lente Didattica |
Title | SEMINARI E LABORATORIO SULL'ETICA DELLA RICERCA |
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Lecturers | Proff. Consoli, Pasini, Badino, Silva |
Teaching hours | 8 hours |
CFUs | 2 (0.5 per seminar) |
When? | - 4 November 14:30-16:30 (Prof. Consoli) - 11 November 14:30-16:30 (Prof. Pasini) - 29 November 14:30-16:30 (Prof. Badino) - 16 December 14:30-16:30 (Prof. Silva) |
Where? | TBD |
Title | PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM: DEVELOPMENT AND ENHANCEMENT OF PERSONAL STRATEGIES AND ATTITUDES THAT PREDISPOSE TO PROFESSIONAL SATISFACTION AND ETHICAL COLLABORATION - ETHICAL CONSIDERATIONS FOR DISSEMINATING RESEARCH FINDINGS |
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Lecturers | Ovada (Pavia), Metitieri (Ospedale Pediatrico Anna Meyer di Firenze) |
Teaching hours | 6 hours |
CFUs | 1 |
When? | 17 February 2022 |
Where? | https://univr.zoom.us/j/81083467731?pwd=M0hRajFyZTVteU00blU3VVJBUFVIZz09 |
Title | COMUNICARE LA SCIENZA: IL RUOLO DEI RICERCATORI E IL RAPPORTO TRA ESPERTI, CITTADINI E ISTITUZIONI |
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Lecturers | Prof. Bucchi (University of Trento) |
Teaching hours | 2 hours |
CFUs | 0.5 |
When? | October 26, 2021 |
Where? | TBD |
Title | AGENDA DELL’ORGANIZZAZIONE DELLE NAZIONI UNITE 2030 |
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Lecturers | Prof.ssa Laura Calafà, Dott.ssa Venera Protopapa |
Teaching hours | 4 |
CFUs | 1 |
When/where? |
April 14 2022, 12.00 - 14.00 |
Title | DATA ANALYSIS AND REPORT WITH MATLAB |
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Lecturer | Prof. Bertini |
Teaching hours | 16 |
CFUs | 2 |
Language | English |
When/where? |
7 June 2022, aula Dal Forno (Istituti Biologici) |
Title | MICROSCOPIA IN CAMPO CHIARO E FLUORESCENZA |
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Lecturer | Nikon Corp. |
Teaching hours | 8 |
CFUs | 2 |
When/where? | 29 June 2022, 9.00 - 17.30 Aula E, Ca' Vignal 1, Borgo Roma |
Note |
The course comprises a theoretical part and a practical part; 5-7 microscopes are available to students. Attendance is limited to at most 14 students. |
Title | CORSO AVANZATO DI MICROSCOPIA CONFOCALE |
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Lecturer | Nikon Corp. |
Teaching hours | 7 hours theory + 4 hours practice for a limited number of students |
CFUs | 1.5 thory; 0.5 practice |
When/where? |
21 September 2022, Aula H CV II, 9.00 - 18.00 |
Title | DIGITAL HUMANITIES AS PRACTICAL-THEORETICAL PART OF THE HUMANITIES |
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Lecturer | Prof. Øyvind Eide (Universität zu Köln) |
Teaching hours | 2 |
CFUs | 0.5 |
When/where? | 19 November 2021, 10-12 am |
Title | DANTE E LA POLITICA: BIOGRAFIA E TEORIA |
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Lecturer | Prof. Massimo Cacciari |
Teaching hours | 2 |
CFUs | 0.5 |
When/where? | 20 December 2021, 5.30 pm |
Title | USING TECHNOLOGY TO ENHANCE PUBLIC ENGAGEMENT |
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Lecturer | Katherine Astbury (University of Warwick, UK) |
Teaching hours | 2 |
CFUs | 0.5 |
When/where? | 25 May 2022, 16:40 - 18:40 T.6 - Veronetta - Palazzo di Lingue |
Module contents |
This hands-on, interdisciplinary session will look at how to make the most of technology for taking research outside the university. We will cover topics such as online exhibitions, virtual talks and panel discussions, and how to make the most of social media. All disciplines welcome and no previous experience required. |
Title | Workshop formativi per dottorandi e neo-dottori di ricerca |
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Lecturers | TBD |
Teaching hours | (4 modules. 1 CFU/module) (enrolment only for 2nd and 3rd year students) |
CFUs | 4 |
When/where? |
8-9, 22-23 November 2021, 11 a.m.-1 p.m. |
Title | PUBLIC SPEAKING |
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Lecturers | Prof. Gianluca Mainino, University of Pavia |
Teaching hours | The Course consists of a on-site meeting of 5 frontal hours followed by a second meeting of additional 3 hours of remote follow up and 2 hours of personalized coaching in which PhD students can interact with the lecturer via email discussing in a more personalized way. Total number of hours 10. Number of CFUs 2 (calculated on the total of teaching hours: 8). |
Language | Italiano |
Requirements | There is no specific requirement for participation. The maximum limit of PhD students is related to the capacity of the classroom and the covid directives of the University and will be updated. |
CFUs | 2 |
Attendance | For the acquisition of training credits is necessary to attend the first meeting that is expected to have a duration of 5 hours. There are no final exams. |
When/where? |
Friday 9 September 2022, 10.00 -13.00 (break) 14.00 – 17.00; Aula D - Istituti Biologici, blocco A Friday 23 September 2022, 11.00 -13.00 (break) 14.00 – 16.00; Aula Dal Forno - Istituti Biologici, blocco A |
Learning Outcomes | The ability to effectively communicate ideas is usually considered a natural activity not deserving of specific learning, while it is true today more than ever that, in the context of the university in general and of research in particular, communication has assumed an increasingly important role and requires skills and abilities that should be developed and, consequently, find a position in a modern PhD curriculum, according to the communication needs imposed both by the work market and by a possible academic career. This meeting aims to provide participants with essential public speaking techniques and strategies that are required for effective communication. |