Training and Research

PhD school courses/classes - 2024/2025

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

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, instructions will be sent well in advance. 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: if the information you need is not there, then it means that we don't have it yet. As soon as we get new information, we will promptly publish it on this page.

Summary of training activities

Teaching Activities ex DM 226/2021: Linguistic Activities

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

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

Teaching Activities: Free choice

THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS

Credits: 2

Language: English

Teacher:  Luigina Mortari

DOTTORATO E MERCATO DEL LAVORO: WORKSHOP FORMATIVI PER DOTTORANDI E NEO-DOTTORI DI RICERCA

Credits: 4

Language: Italian
ARE YOU SURE YOU CAN DEFEAT A CHATBOT?

Credits: 1

Language: Italian
MEETING UKRAINE: THE IMPACT OF WAR AND FUTURE OPPORTUNITIES

Credits: 1

Language: Italian
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE

Credits: 2

Language: English

Teacher:  Michele Scandola

Differential diagnosis of demyelinating diseases of the central nervous system

Credits: 2

Language: Italiano; English

Teacher:  Alberto Gajofatto

CSF DYNAMICS: ANATOMICAL AND FUNCTIONAL FEATURES

Credits: 0.5

Language: English

Teacher:  Alberto Feletti

Tecniche di immagine per l'analisi della composizione corporea

Credits: 1

Language: Inglese/English

Teacher:  Carlo Zancanaro

Tecniche di ricerca in neuroscienze: misurare e modulare l'attività neuronale

Credits: 2.3

Language: non prevista

Teacher:  Giuseppe Busetto

EMOTIONS, BELIEFS, AND SKILLS TO FACE CLIMATE CHANGE AND EMBRACE CLIMATE ACTION

Credits: 0.5

Language: English

Teacher:  Isolde Martina Busch

COMPUTATIONAL MECHANISMS UNDERLYING SENSORIMOTOR LEARNING

Credits: 4.5

Language: English

Teacher:  Matteo Bertucco

sleep related disoders: focus on REM and NREM parasomnia and SR movement disorders

Credits: 1.5

Language: italiano o inglese

Teacher:  Elena Antelmi

DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER  (2024/2025)

Teacher

Giuseppe Verlato

Referent

Giuseppe Verlato

Credits

0.5

Language

inglese

Class attendance

Free Choice

Location

VERONA

MoodleMoodle Seminars 0

Learning objectives

Obiettivi:

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

Prerequisites and basic notions

Students should have basic knowledge of Mathematics and Statistics.

Program

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

Didactic methods

Lessons will take place in the computer room. Statistical power computations will be illustrated by Excel files and Stata software (Stata and R-commander). Participants will be encouraged to bring power calculation problems, to be used as examples in the class.
Link zoom: https://univr.zoom.us/j/94331181144?pwd=b1hxSVVvKzBsWUlDWkE0bTllV0tzQT09

Learning assessment procedures

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

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

Assessment

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

Criteria for the composition of the final grade

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

Scheduled Lessons

When Classroom Teacher topics
Wednesday 30 April 2025
14:30 - 18:30
Duration: 4:00 AM 		Istituti Biologici Blocco A - Biblioteca Meneghetti - Informatica Biologici [ - ] Giuseppe Verlato Determination of sample size to achieve a predefined precision or power