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

BASIC LEVEL STATISTICS  (2023/2024)

Docenti

Margherita Brondino, Elisa Menardo , Elisa Menardo

Crediti

2,5

Lingua di erogazione

Inglese

Frequenza alle lezioni

Scelta Libera

Seminari 0

Obiettivi di apprendimento

The course aims to provide the expertise that is required to perform base-level statistical analysis, both descriptive and inferential, for research purposes. The course mainly targets human sciences, also with the aid of open source statistical software (JAMOVI).

Programma

1. Introduction to empirical research (measurement issues, research designs, data collection) (4 hours)
2. Introduction to statistics: Descriptive statistics and graphical representation (4 hours)
3. Null hypothesis testing, t-test, Chi-square (4 hours)
4. Correlational analysis, Simple and multiple linear regression analysis, and hierarchical regression (4 hours)
5. Exercises on all course contents (2 hours)
6. Test on acquired expertise (2 hours)

Modalità didattiche

The course will be delivered via Zoom; at least 70% attendance is required.
At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area.
Zoom link for all lessons

Lezioni Programmate

Quando Aula Docente Argomenti
giovedì 07 marzo 2024
09:00 - 13:00
Durata: 04:00 		Link Zoom privato per studenti iscritti Margherita Brondino
Elisa Menardo 		BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
martedì 12 marzo 2024
09:00 - 13:00
Durata: 04:00 		Link Zoom privato per studenti iscritti Margherita Brondino
Elisa Menardo 		BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
giovedì 14 marzo 2024
09:00 - 13:00
Durata: 04:00 		Link Zoom privato per studenti iscritti Margherita Brondino
Elisa Menardo 		BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
martedì 19 marzo 2024
09:00 - 13:00
Durata: 04:00 		Link Zoom privato per studenti iscritti Margherita Brondino
Elisa Menardo 		BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
martedì 26 marzo 2024
10:00 - 11:00
Durata: 01:00 		Link Zoom privato per studenti iscritti Margherita Brondino
Elisa Menardo 		BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES
BASIC LEVEL STATISTICS - RECOMMENDED FOR HUMAN SCIENCES