Formazione e ricerca

Attività Formative della Scuola di Dottorato - 2023/2024

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, 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

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

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

Teaching Activities: Free choice

METHODS OF EXPERIMENTAL DATA ANALYSIS AND REPORT WITH MATLAB, A GENTLE INTRODUCTION  (2023/2024)

Docente

Giuseppe Bertini

Referente

Giuseppe Bertini

Crediti

2,5

Lingua di erogazione

English

Frequenza alle lezioni

Scelta Libera

Sede

VERONA

MoodleMoodle Seminari 0

Programma

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.

Lezioni Programmate

Quando Aula Docente Argomenti
giovedì 02 maggio 2024
14:30 - 16:30
Durata: 2.30 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
martedì 07 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
venerdì 10 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
martedì 14 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
venerdì 17 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
venerdì 24 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
martedì 28 maggio 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
venerdì 07 giugno 2024
14:30 - 16:30
Durata: 2.00 		https://univr.zoom.us/j/92638650019 Giuseppe Bertini METHODS OF EXPERIMENTAL DATA ANALYSIS AND REPORT WITH MATLAB, A GENTLE INTRODUCTION

Dottorandi

Dottorandi presenti nel:
Lucrezia Bolla, 1 ottobre 2024

Bolla Lucrezia

symbol email lucrezia.bolla@univr.it
Foto, 14 ottobre 2024

Conti Elisa

symbol email elisa.conti@univr.it
Foto, 15 ottobre 2024

Crescioli Sofia

symbol email sofia.crescioli@univr.it
Foto, 23 ottobre 2024

D'Arrigo Giuseppe

symbol email giuseppe.darrigo@univr.it
Foto_Fonte, 10 ottobre 2024

Fonte Marco

symbol email marco.fonte@univr.it
Lanna FigueiredoHelena

Lanna Figueiredo Helena

symbol Incoming cotutela Cotutela: Incoming student symbol universita Universidade Federal de Minas Gerais
foto profilo, 18 marzo 2024

Masotto Elia

symbol email elia.masotto@univr.it
profile 1, 28 ottobre 2024

Pereira Santos Rodrigues Alice

symbol email alice.pereirasantosrodrigues@univr.it
Lezioni del Corso
Lezioni della Scuola di Dottorato

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Linee guida percorso formativo

Di seguito i file che contengono le Linee guida per il percorso formativo e il regolamento per l'acquisizione dei crediti formativi (CFU) per l'Anno Accademico 2024/2025.

Documenti

Titolo Info File
File octet-stream Dottorandi: Linee guida generali octet-stream, it, 123 KB, 04/11/24
File octet-stream PhD students: General guidelines octet-stream, en, 45 KB, 04/11/24