Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year It will be activated in the A.Y. 2025/2026
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1 module among the following2 modules among the following1 module among the following
- A.A. 2024/2025 Complex systems and social physics - Network science and econophysics - Statistical methods for business intelligence not activated
- A.A. 2025/26 Network science and econophysics not activated1 module among the following2 modules among the followingLegend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Social research (2024/2025)
Teaching code
4S009087
Teacher
Coordinator
Credits
6
Also offered in courses:
- Social research of the course Master's degree in Data Science
Language
English
Scientific Disciplinary Sector (SSD)
SPS/07 - GENERAL SOCIOLOGY
Period
Semester 2 dal Mar 3, 2025 al Jun 13, 2025.
Courses Single
Authorized
Learning objectives
The course aims to offer students an overview of the main paradigms of social research, in order to identify the solutions proposed by these paradigms for ontological, epistemological and methodological questions related to social research. The course is also aimed at providing students with a general framework of the main quantitative and qualitative research techniques, linking them to the specific research questions for which their application is particularly relevant. Finally, the course aims to provide a presentation of the Social Network Analysis (SNA) techniques, in order to train students to the relational analysis of social reality. At the end of the course the student has to show to have acquired the following skills: -ability to identify the most effective social research strategy to deal with a cognitive problem -ability to use, with competence and appropriate language, the techniques of Social Network Analysis (SNA), finalizing them to the operational definition of social reality as a network of relationships and to the identification of the mechanisms that take place in it.
Prerequisites and basic notions
There are no prerequisites
Program
The course will provide students with the ability to learn and apply the qualitative research method, quantitative research techniques and SNA in the field of social research.
The program is divided into the following modules:
Qualitative social research
Quantitative social research
SNA
Each research method will be dealt with a theoretical and practical point of view. They will be applied to analyse specific empirical research questions.
To gain experience with the practical application of these techniques, students will practice using the software most commonly applied in social research.
The course will combine theoretical lectures, data analysis activities and practice in the interpretation of the outputs obtained.
Bibliography
Didactic methods
Lectures and practical activities of data analysis and presentation of results.
Learning assessment procedures
Written/Oral
Evaluation criteria
The final evaluation is the result of three elements:
(1) Practical activity of presenting research (30%).
(2) Practical activity of data analysis and presentation of results (30%).
(3) Oral examination (40%).
For non-attending students, activity (2) must also be supplemented with a written data analysis paper (min 2000 words) (30%).
Exam language
English
