Teaching Activities Catalogue - Academic Year 2022-2023
Activities ex D.M. 226/2021 - ARCHIVE- Dottorati
- Archivio dei corsi della Scuola di dottorato 2022-23
Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).
Latest update: September 21st, 2023
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.
Activities are also listed in the online calendar.
Teaching Activities ex DM 226/2021: Linguistic Activities
| 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 B2 |
|---|---|
| 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) |
| Notes |
The course is organised by the CLA. For information, students will have to contact the CLA offices. The course is split in two half-year periods: |
| Title | ITALIAN LANGUAGE COURSE FOR NON-NATIVE ITALIAN SPEAKERS |
|---|---|
| CFUs | 2.5 |
| Notes | The course is organised by the CLA. For information, students will have to contact the CLA offices. |
Areas:
1. Macroarea Arts and Humanities: 1 module, 15 hours
Lecturers: Dora Renna
Delivery dates:
10, 11, 12 January 2023 (9.45 - 12.00, 10 min. break)
Aula SMT.08, Santa Marta, Veronetta
13 January 2023 (9.45 - 12.00, 10 min. break)
Aula SMT.06, Santa Marta, Veronetta
2. Macroarea Law and Economics: 1 module, 15 hours
Lecturers: Emanuela Tenca
Delivery dates:
10, 11, 12, 13 January 2023 (9.45 - 12.00, 10 min. break)
Aula 1.16, Istituto Ex-Orsoline, Veronetta
3. Macroarea Life and Health Sciences: 1 module, 15 hours - 1st session
Lecturers: Mary Birkett
Delivery dates:
10, 11, 12, 13 January 2023 (9.45 - 12.00, 10 min. break)
Aula 3, Piastra Odontoiatrica, Borgo Roma
3. Macroarea Life and Health Sciences: 1 module, 15 hours - 2nd session
Lecturers: Jessica Jane Nocella
Delivery dates:
25, 26, 27, 30 January 2023 (9.45 - 12.00, 10 min. break)
Aula 2, Piastra Odontoiatrica, Borgo Roma
4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 1st session
Lecturers: Daniela Vescio
Delivery dates:
10, 11, 12, 13 January 2023 (9.45 - 12.00, 10 min. break)
Aula 3, Piastra Odontoiatrica, Borgo Roma
4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 2nd session
Lecturers: Flaminia Malvezzi Campeggi
Delivery dates:
10 January 2023 10.45 - 13.00
11 January 2023 10.45 - 13.00
12 January 2023 9.45 - 12.00; 14.00 - 16.15
Aula E, Istituti Biologici Blocco A, Borgo Roma
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 2021/22 edition, two 15-hour sessions will be organised for Area 3 and for Area 4.
Areas:
1. Macroarea Arts and Humanities: 1 module, 15 hours
Lecturers: Dora Renna
Delivery dates:
16, 17, 18, 19 January 2023 (9.45 - 12.00, 10 min. break)
Aula SMT.03, Santa Marta, Veronetta
2. Macroarea Law and Economics: 1 module, 15 hours
Lecturers: Emanuela Tenca
Delivery dates:
16, 17, 18, 19 January 2023 (9.45 - 12.00, 10 min. break)
Aula SMT.11, Santa Marta, Veronetta
3. Macroarea Life and Health Sciences: 1 module, 15 hours - 1st session
Lecturers: Mary Birkett
Delivery dates:
16 January 2023 (9.45 - 12.00, 10 min. break)
Aula A, Lente Didattica, Borgo Roma
17 January 2023 (9.45 - 12.00, 10 min. break)
Aula A, Lente Didattica, Borgo Roma
18, 19 January 2023 (9.45 - 12.00, 10 min. break)
Aula E, Lente Didattica, Borgo Roma
3. Macroarea Life and Health Sciences: 1 module, 15 hours - 2nd session
Lecturers: Jessica Jane Nocella
Delivery dates:
16, 17, 18, 19 January 2023 (9.45 - 12.00, 10 min. break)
Aula F, Istituti Biologici Blocco A, Borgo Roma
4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 1st session
Lecturers: Daniela Vescio
Delivery dates:
16, 17, 18, 19 January 2023 (9.45 - 12.00, 10 min. break)
Aula A, Istituti Biologici Blocco A, Borgo Roma
4. Macroarea Natural Sciences and Engineering: 1 module, 15 hours - 2nd session
Lecturers: Flaminia Malvezzi Campeggi
Delivery dates:
16 January 2023 14.00 - 16.15
19 January 2023 9.30 - 13.00
Aula B, Istituti Biologici Blocco A, Borgo Roma
20 January 2023 14.00 - 16.15
Aula Dal Forno, Istituti Biologici Blocco A, Borgo Roma
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 2021/22 edition, two 15-hour sessions will be organised for Area 3 and for Area 4.
| Content description (in common for all Areas) | |||
|---|---|---|---|
|
Focus on writing skills and style |
Focus on language Focus on citation strategies |
Focus on texts |
Focus on texts with practice and peer review |
| Content description (in common for all Areas) | |||
|---|---|---|---|
|
Focus on Public Speaking |
Focus on software support Developing slides/frames |
Presentation of slides / frames 1 Focus on question and answer sessions |
Focus on language for data presentation Presentation of slides / frames 2 |
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
Lecturers
• Prof.ssa Margherita Pasini, Univr
• Prof.ssa Margherita Brondino, Univr
• Dott.ssa Elisa Menardo, Univr
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)
Calendar
4 October 2022, 9.00-13.00, lesson 1
18 October2022, 9.00-13.00, lesson 2
8 November 2022, 9.00-13.00, lesson 3
22 November 2022, 9.00-13.00, lesson 4
29 November 2022, 9.00-11.00, lesson 5
6 December 2022, 9.00-11.00, final test
Duration: 20 hours
CFU: 2.5
Course objectives:
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).
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.
| Title |
BASIC LEVEL STATISTICS |
|---|---|
| CFUs | 2.5 |
| Language | English |
| Notes | Basic level statistics is organised in modules 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. |
AVAILABLE MODULES
| Title |
INTRODUCTION TO PROBABILITY (MODULE I) |
|---|---|
| Lecturer | Prof. Marco Minozzo (Univr) |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| Enrolment requirements |
There are not particular learning requirements. It is advisable that students have already been introduced (though at an elementary level) to probability and statistics. 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. |
| When/where |
5 October 2022, 14:00-16:00 - Zoom 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. |
| 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. |
| Title |
INTRODUCTION TO PROBABILITY (MODULE II) |
|---|---|
| Lecturer | Dott.ssa Claudia Di Caterina (Univr) |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
|
Enrolment requirements |
There are not particular learning requirements. It is advisable that students have already been introduced (though at an elementary level) to probability and statistics. 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. |
| When/where |
13 October 2022, 10:00-12:00 Moodle link |
|
Modules Contents |
- Discrete random variables, binomial distribution. |
|
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. |
| Title |
INTRODUCTION TO STATISTICAL INFERENCE |
|---|---|
| Lecturer | Prof. Marco Minozzo (Univr) |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| When/where | 22 February 2023, 14:00-18:00 24 February 2023, 14:00-18:00 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. |
| Title |
STATISTICAL ANALYSIS WITH R - MODULE I |
|---|---|
| Lecturer | Dott.ssa Erica Secchettin |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| When/where |
July 25, 9:00 - 12:00 |
| 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. |
| Title |
VALIDITY AND RELIABILITY OF MEASUREMENTS AND DIAGNOSTIC TESTS |
|---|---|
| Lecturer | Dr. Alessandro Marcon (Univr) |
| Teaching hours | 4 |
| CFUs | 0.5 |
| Language | English |
| When/where |
28 March, 10.00-12.00
29 March, 10.00-12.00
Aula Roberto de Marco, Istituti Biologici B |
| Notes |
Lessons will be delivered in presence + Zoom; full attendance is required. |
| 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 LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
Lecturers:
• Prof.ssa Margherita Pasini, Univr
• Prof.ssa Margherita Brondino, Univr
• Dott.ssa Elisa Menardo, Univr
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)
Calendar
10 January 2023, 9.00-13.00, lesson 1
17 January 2023, 9.00-13.00, lesson 2
24 January 2023, 9.00-13.00, lesson 3
31 January 2023, 9.00-11.00, lesson 4
7 February 2023, 9.00-11.00, lesson 5
14 February 2023, 9.00-11.00, final test
Duration: 20 hours
CFUs: 2.5
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 (JAMOVI).
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.
| Title |
INTERMEDIATE STATISTICS |
|---|---|
| CFUs | 2.5 |
| Language | English |
| Notes | Intermediate level statistics is organised in modules 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. |
AVAILABLE MODULES
| Title |
STATISTICAL ANALYSIS WITH R – MODULE II |
|---|---|
| Lecturer | Dott.ssa Erica Secchettin |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| When/where |
August 2, 16:00 - 17:00 All lessons: Aula 4 - Borgo Roma - Lente Didattica |
| 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. |
| Title |
DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER |
|---|---|
| Lecturer | Prof. Giuseppe Verlato (Univr) |
| Teaching hours | 4 |
| CFUs | 0.5 |
| Language | English |
| When/where | 27 March 2023, 14.00 - 18.00 Aula informatica Istituti Biologici Blocco A 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. |
| Title |
GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODEL |
|---|---|
| Lecturer | Dott.ssa Lucia Cazzoletti (Univr) |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| When/where |
27 April 2023 h.14.30-16.30
2 May 2023 h.14.30-16.30
9 May 2023 h.14.30-16.30
18 May 2023 h.14.30-16.30
Aula Roberto De Marco, Ist. Biologici Blocco B, Ala nuova.
|
| Notes | Lessons will be delivered in presence and via Zoom. Full attendance is required. |
| Course objectives | 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: - To extend the linear regression model to models that can handle a binary, count and a non-Gaussian response. Course topics include: logistic regression, Poisson regression, log-linear models, contingency tables. - To deal with over-dispersion in the data. |
| Title |
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 |
12 June 2023 h. 14:00-18:00
13 June 2023 h. 14:00-18:00
14 June 2023 h. 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 |
| Title |
STUDY DESIGN IN OBSERVATIONAL AND EXPERIMENTAL RESEARCH |
|---|---|
| Lecturer | Dr. Alessandro Marcon (Univr) |
| Teaching hours | 8 |
| CFUs | 1 |
| Language | English |
| When/where |
4 April, 10.00-12.00
5 April, 10.00-12.00
11 April, 10.00-12.00
|
| 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. |
| Title |
INTRODUCTION TO META-ANALYSIS, FOCUSED ON MEDICAL RESEARCH (LITERATURE REVIEW, DATA COLLECTION, DATABASE CONSTRUCTION) |
|---|---|
| Lecturer | Prof. Giuseppe Verlato (Univr) |
| Teaching hours | 4 |
| CFUs | 0.5 |
| Language | English |
| When/where | 28 June 2023, 14.00 - 18.00 Auletta De Marco, Istituti Biologici 2 Blocco B Zoom link |
| Notes | Lessons will be delivered in presence. 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. |
| Title |
APPLICATION OF META-ANALYSIS TO THE |
|---|---|
| Lecturer | Prof. Giuseppe Verlato (Univr) |
| Teaching hours | 4 |
| CFUs | 0.5 |
| Language | English |
| When/where | 30 June 2023, 14.00 - 18.00 Aula informatica, Istituti Biologici Blocco A Zoom link |
| Notes | Lessons will be delivered in presence. Full attendance is required. |
| Course objectives | 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 | ||||
|---|---|---|---|---|---|
| Lecturer | Prof. Marco Rospocher | ||||
| Teaching hours | 16 | ||||
| CFUs | 2.5 | ||||
| Language | English | ||||
| When/where |
13 February 2023, 10:00-13:00 All lessons will be delivered at Aula WIN, Polo Didattico Giorgio Zanotto |
||||
| 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: |
||||
| Notes | At least 75% attendance is required. The course involves practical exercises; at most 24 students will be admitted. To be admitted to the course, students have to fill the form available at https://forms.office.com/r/8ZCh908RPW" |
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| Title | ACADEMIC WRITING IN LATEX | ||||
|---|---|---|---|---|---|
| Lecturer | Dr. Guido Gonzato | ||||
| Teaching hours | 12 | ||||
| CFUs | 2 | ||||
| Language | English | ||||
| When | September 5, 6, 7, 8 2023 9:00 - 12:00 |
||||
| Where | Lessons delivered via Zoom. At least 75% attendance is required. Zoom link |
||||
| Learning outcomes |
Students will learn to write academic material (article, thesis, poster, presentation) in LaTeX. |
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| Title | ACADEMIC PRESENTATION | ||||
|---|---|---|---|---|---|
| Lecturer | Prof. Graziano Pravadelli | ||||
| Teaching hours | 4 | ||||
| CFUs | 1 | ||||
| Language | English | ||||
| When/where |
1 June 2023, 16:30-18:30
Aula T.04, Ca' Vignal 3
5 June 2023, 9:00-11:00
Sala Verde (Piramide) - Ca' Vignal 3 |
||||
| 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. 100% attendance is required to obtain credits. | ||||
| Title | BASI DI DATI SCOPUS E WEB OF SCIENCE | ||||
|---|---|---|---|---|---|
| Lecturer | Prof. Matteo Cristani | ||||
| Teaching hours | 6 | ||||
| CFUs | 1 | ||||
| Language | English | ||||
| When/where |
27 March 2023, 11:00 - 13:00 |
||||
Research management and Enhancement
| Title | The Marie Sklodowska-Curie Postdoctoral Fellowships |
|---|---|
| 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? | April – May 2022 (the date of the webinar depends on the opening of the 2022 Marie Sklodowska-Curie Postdoctoral Fellowships Call) |
| 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 |
|---|---|
| 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? | May - June 2022 |
| Where? | Event delivered via Zoom |
| 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 |
|---|---|
| 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 |
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 |
|---|---|
| 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 |
ETHICS IN ACADEMIA: FROM DOING RESEARCH TO BEING A RESEARCHER |
|---|---|
| Lecturer | Prof.ssa Paola Cesari; Prof.ssa Silvia Savazzi (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento, UNIVR), Prof.ssa Alessandra Minello (UNIPD) |
| Teaching hours | 3 |
| CFUs | 1 |
| Language | English |
| When/where | 22 February 2023, 9.15 - 12.15 Zoom link |
| Notes | Full attendance is required to obtain the credits. |
| Programme: | • Ethics in science: what's right and what's wrong (1 hour) Prof.ssa Silvia Savazzi • Unveiling academic gender blindness: obstacles and possible solutions (1 hour) Prof.ssa Alessandra Minello • The importance of publishing high quality research papers (1 ora) Prof.ssa Paola Cesari. |
| Learning objectives | This seminar will address the different pitfalls that a young researcher can run into during their career. Problems related to the ethics of doing research will be addressed: from conception to publication and dissemination; from interpersonal relationships to gender equality. |
| 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 |
|---|---|
| Lecturers | Prof.ssa Michela Rimondini, Prof.ssa Isolde Martina Busch (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento) |
| Teaching hours | 4 |
| CFUs | 1 |
| Language | English |
| When/where | 6 June 2023, 9:00-13.00 New Zoom link |
| Notes | Registration is required at this link: https://docs.google.com/forms/d/e/1FAIpQLScIradwioiFNdUshOlP5L_G9tg93KaPFCWra-gqLjUlrVt1Kg/viewform?usp=sf_link Full attendance is required to obtain the credits. |
| Programme | • 9.00-10.00 Introduction and Video Testimonials Experiences and advice from senior and junior researchers Prof.ssa Michela Rimondini • 10.00-12.00 Raising Self-awareness on personal vulnerabilities and psychological resources in order to face Phd challenges Prof.ssa Michela Rimondini • 12.00-13.00 How to recognize and manage emotional distress Prof.ssa Mirella Ruggeri |
| Learning objectives | - Raise awareness of the role of work well-being for the productivity of the individual and the work group. - Encourage the process of recognizing personal expectations with respect to the PhD program and its intrinsic challenges. - Promote the process of individual awareness of their vulnerabilities and psychological resources in order to face the aforementioned challenges. - Describe the main strategies for coping with stress and provide the main rudiments for recognizing emotional distress and indications on how to manage it |
| Title |
SEMINARIO INFORMATIVO DELLA CONSIGLIERA DI FIDUCIA |
|---|---|
| Lecturer | Dott.ssa Francesca Torelli |
| Teaching hours | 4 |
| CFUs | 1 |
| Language | Italian |
| When/where | 23 May 2023, 9.30 - 13.30 Zoom link sent to applicants |
| Notes | Full attendance is required to obtain the credits. |
| Programme: | Il seminario, in lingua italiana, con il supporto di slides e altro materiale in lingua inglese, verterà sulle seguenti tematiche: - discriminazione - molestie sessuali - vessazioni |
| 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 |
| CFUs | 2.5 |
| Language | English |
| When/where | 2 May 2023, 14:30 -16:30 5 May 2023, 14:30 -16:30 9 May 2023, 14:30 -16:30 12 May 2023, 14:30 -16:30 16 May 2023, 14:30 -16:30 19 May 2023, 14:30 -16:30 23 May 2023, 14:30 -16:30 26 May 2023, 14:30 -16:30 Aula Osculati, Istituti Biologici (in presence only) |
| Notes | 75% attendance is required to obtain the credits. |
| Learning objectives | 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 any computer 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. |
| Title | CORSO INTRODUTTIVO DI CHIRURGIA ROBOTICA |
|---|---|
| Lecturers | Gianluigi Califano (UNINA) Paolo Fiorini (UNIVR – Corso di Dottorato in Informatica) |
| Teaching hours | 24 |
| CFUs | 6 |
| Language | Italiano / English |
| When/where |
6 December 2022, 17.00 - 19.00 |
| Notes | 60% attendance and a final test are required to obtain credits.The course will be delivered via Zoom. |
| Learning objectives | The course aims to provide students with basic knowledge about robotic systems applied to surgery; it covers evolution of the technology, what is available today in the operating room, and future outlook. |
| 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 | June 16 2023, 14:00-18:00 Auletta della sezione di Anatomia e Istologia, Istituti Biologici II |
| Notes | Full attendance (in presence only) is required to obtain the credits. |
| Learning objectives | 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 |
11 Novembre 2022, 9.30 - 11.30 |
| Notes | Full attendance is required to obtain the credits. |
| Learning objectives | 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) |
| Teaching hours | 8 |
| CFUs | 2 |
| Language | Italiano |
| When/where | 17 Maggio 2023, 14:30 - 17:50 24 Maggio 2023, 14:30 - 17:50 7 piano di Neurologia, auletta di Neurofisiopatologia |
| Learning objectives | Il corso è destinato a Dottorandi che per il proprio ambito di ricerca siano interessati ad approfondire gli aspetti clinici delle principali patologie demielinizzanti del sistema nervoso centrale. I partecipanti avranno la possibilità di apprendere le caratteristiche cliniche e diagnostiche fondamentali della sclerosi multipla e della neuromielite ottica e le principali nozioni sul contesto generale delle malattie demielinizzanti del sistema nervoso centrale utili alla loro diagnosi differenziale. Programma: - lezione 1: sclerosi multipla - lezione 2: neuromielite ottica (NMOSD) - lezione 3: diagnosi differenziale delle malattie demielinizzanti del sistema nervoso centrale |
| Notes |
To ensure effective lessons, at most 10 students will be admitted. |
| Title | ENERGY COST OF HUMAN: ONE OF THE DETERMINANTS OF BEST PERFORMANCES IN HUMANS |
|---|---|
| Lecturer | Prof. Carlo Capelli (Corso di Dottorato Neuroscienze, Scienze psicologiche e Psichiatriche, Scienze del Movimento) |
| Teaching hours | 4 |
| CFUs | 1 |
| Language | English |
| When/where |
January 9, 11:30 - 16:30 |
| Notes | Italiano |
| Learning objectives |
1) Lectures on Principles of human bioenergetics and determinants of the energy cost of human terrestrial locomotion; The students, at the end of seminar, should understand the main physiological determinants of the economy of human locomotion and of maximal performances in some forms of human locomotion. |
| Title | MICROSCOPIA IN CAMPO CHIARO E FLUORESCENZA (BASIC COURSE) |
|---|---|
| Lecturer | Proff. Cristiano Rumio, Emiliano Descrovi |
| Teaching hours | 8 |
| CFUs | 2 |
| Language | English |
| When/where |
Session 1: June 20 2023, 09:00-18:00 |
| Notes |
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 for each session. |
| Learning objectives |
Basic principles of image formation in microscopy; manual setting of bright-field microscope (Kohler configuration) and fluorescence microscopy; image acquisition with digital camera. |
| Title | MICROSCOPIA CONFOCALE (ADVANCED COURSE) |
|---|---|
| Lecturer | Proff. Cristiano Rumio, Emiliano Descrovi |
| Teaching hours | 4 (theory, open to all) + 3 (practice) |
| CFUs | 2 (1 for theory, 1 for practice). CFUs for the theoretical part can be attributed regardless of attendance of the practical part. |
| Language | English |
| When/where |
Theory, open to all: |
| Notes |
The course comprises a theoretical part (4 hours, open to all students) and a practical part (3 modules, 3 hours each). At most 4-5 students will be admitted for each slot. The whole course will take place on two consecutive days. |
| Learning objectives | Basic principles of fluorescence confocal microscopy; tecniques of 2D and 3D confocal imaging; basics of image analysis. |
| Title | BUILD YOUR BUSINESS MODEL CANVAS |
|---|---|
| Lecturer | Organised by INVITALIA |
| Teaching hours | 6 |
| CFUs | 1.5 |
| Language | English |
| When/where | 7 June 2023, 9:00 - 16:00 Aula SMT.02 - Veronetta - Santa Marta |
| Notes |
The course will be delivered in dual mode although participation in presence is strongly recommended. Some details on the main objectives and contents:
Main contents
|
| Learning objectives | Target competency: entrepreneurship |