Training and Research

PhD school courses/classes - 2023/2024

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

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.

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

Credits

2.5

Language

English

Class attendance

Free Choice

Location

VERONA

Program

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.

Scheduled Lessons

When Classroom Teacher topics
Thursday 02 May 2024
14:30 - 16:30
Duration: 2:30 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Tuesday 07 May 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Friday 10 May 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Tuesday 14 May 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Friday 24 May 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Tuesday 28 May 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Monday 17 June 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction
Friday 21 June 2024
14:30 - 16:30
Duration: 2:00 AM
https://univr.zoom.us/j/92638650019 Giuseppe Bertini Methods of experimental data analysis and report with MATLAB, a gentle introduction

Faculty

B C F G K L M R S T V Z

Battaglia Yuri

symbol email yuri.battaglia@univr.it

Bertoldo Francesco

symbol email francesco.bertoldo@univr.it symbol phone-number +39 045 812 6485

Carrara Elena

symbol email elena.carrara@univr.it

Ciccocioppo Rachele

symbol email rachele.ciccocioppo@univr.it symbol phone-number 045 8124466

Crisafulli Ernesto

symbol email ernesto.crisafulli@univr.it symbol phone-number +39 045 812 8146

Fantin Francesco

symbol email francesco.fantin@univr.it symbol phone-number +39 045 812 3577

Fava Cristiano

symbol email cristiano.fava@univr.it symbol phone-number +39 045 8124732

Fratta Pasini Anna Maria

symbol email annamaria.frattapasini@univr.it symbol phone-number +39 045 8124749

Frulloni Luca

symbol email luca.frulloni@univr.it symbol phone-number 045 8124466

Gatti Davide

symbol email davide.gatti@univr.it

Girolomoni Giampiero

symbol email giampiero.girolomoni@univr.it symbol phone-number +39 045 812 2547

Gisondi Paolo

symbol email paolo.gisondi@univr.it symbol phone-number +39 045 812 2547

Krampera Mauro

symbol email mauro.krampera@univr.it symbol phone-number 0458124034

Lanza Massimo

symbol email massimo.lanza@univr.it symbol phone-number +39 0458425118

Mantovani Alessandro

symbol email alessandro.mantovani@univr.it symbol phone-number 0458127672

Mazzali Gloria

symbol email gloria.mazzali@aovr.veneto.it symbol phone-number +39 045 807 3577

Minuz Pietro

symbol email pietro.minuz@univr.it symbol phone-number +39 045 812 4414

Romano Simone

symbol email simone.romano@univr.it symbol phone-number 0458124414

Rossini Maurizio

symbol email maurizio.rossini@libero.it symbol phone-number +39 045 8126338

Sacerdoti David

symbol email DAVID.SACERDOTI@UNIVR.IT symbol phone-number 0458128159

Targher Giovanni

symbol email giovanni.targher@univr.it symbol phone-number +39 045 6014530

Trifirò Gianluca

symbol email gianluca.trifiro@univr.it symbol phone-number 0458027612

Viapiana Ombretta

symbol email ombretta.viapiana@univr.it symbol phone-number +39 045 812 4049

Zamboni Mauro

symbol email mauro.zamboni@univr.it symbol phone-number +39 045 812 2537

Zoico Elena

symbol email elena.zoico@univr.it symbol phone-number +39 045 812-2537

Zoppini Giacomo

symbol email giacomo.zoppini@univr.it symbol phone-number +39 045 8123115

PhD students

PhD students present in the:

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Course lessons
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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.