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).

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

Credits

2

Language

English

Class attendance

Free Choice

Location

VERONA

Program

• First day (4 hours – 1CFU): - The reproducibility crisis in scientific research, a new research paradigm - Open science practices: From registered reports to large-scale collaborative projects - Structuring experimental data: rethinking data acquisitions to enable replications. - Multiverse analysis.
• Second day (4 hours – 1 CFU): - Practical simulation of pre-registration - Organization of a data-set according the FAIR principles - Practical simulation of multiverse analysis.

Didactic methods

Full attendance is required. Test with multiple-choice answers at the end of Day 1. Evaluation at the end of Day 2. Possibility of attending Day 1 only.
March 1, 9:00-13.20; 14:30-16:10
March 8, 9:00-13.20; 14:30-16:10
Aula Messedaglia - Chiostro S. Maria delle Vittorie
Moodle link

PhD students

PhD students present in the:
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.