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

A B C D F G L M O P R S T Z

Antoniazzi Franco

symbol email franco.antoniazzi@univr.it symbol phone-number +39 045 812 7811-7131

Bencivenga Maria

symbol email maria.bencivenga@univr.it symbol phone-number +39 045 812 7053

Conci Simone

symbol email simone.conci@univr.it

De Santis Daniele

symbol email daniele.desantis@univr.it symbol phone-number +39 045 812 4251 - 4097

Ferrante Giuliana

symbol email giuliana.ferrante@univr.it symbol phone-number 045/8127858

Gaudino Rossella

symbol email rossella.gaudino@univr.it symbol phone-number +39 045 812 7121

Gottin Leonardo

symbol email leonardo.gottin@univr.it symbol phone-number +39 045 812 7250

Lombardo Giorgio

symbol email giorgio.lombardo@univr.it symbol phone-number +39 045 812 4867

Luciani Giovanni Battista

symbol email giovanni.luciani@univr.it symbol phone-number +39 045 812 3337

Maffeis Claudio

symbol email claudio.maffeis@univr.it symbol phone-number +39 045 812 7664

Onorati Francesco

symbol email francesco.onorati@univr.it symbol phone-number 045/8121945

Pedrazzani Corrado

symbol email corrado.pedrazzani@univr.it symbol phone-number +39 045 812 6719

Pietrobelli Angelo

symbol email angelo.pietrobelli@univr.it symbol phone-number +39 045 812 7125

Ribichini Flavio Luciano

symbol email flavio.ribichini@univr.it symbol phone-number +39 045 812 2039

Rungatscher Alessio

symbol email alessio.rungatscher@univr.it symbol phone-number +39 045 812 3307

Ruzzenente Andrea

symbol email andrea.ruzzenente@univr.it symbol phone-number +39 045 812 4464

Salvia Roberto

symbol email roberto.salvia@univr.it symbol phone-number +39 045 812 4816

Schweiger Vittorio

symbol email vittorio.schweiger@univr.it symbol phone-number +39 045 812 4311

Trevisiol Lorenzo

symbol email lorenzo.trevisiol@univr.it symbol phone-number +39 045 812 4023

Zaffanello Marco

symbol email marco.zaffanello@univr.it symbol phone-number +39 045 812 7126

Zotti Francesca

symbol email francesca.zotti@univr.it symbol phone-number +39 045 812 6938

PhD students

PhD students present in the:

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Course lessons
PhD Schools 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.