SylabUZ
Course name | Predicting social behavior |
Course ID | 05.5-WP-SocP-PSB-23 |
Faculty | Faculty of Social Sciences |
Field of study | WNS - oferta ERASMUS / Sociology |
Education profile | - |
Level of studies | Second-cycle Erasmus programme |
Beginning semester | winter term 2024/2025 |
Semester | 1 |
ECTS credits to win | 6 |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Class | 15 | 1 | - | - | Credit with grade |
The aim of the course is to familiarize students with the basic statistical methods that enable the conduct of analyzes that allow the prediction of social behavior. During the classes, students will also get acquainted with the statistical software that is used at the Institute of Sociology of the University of Zielona Góra
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Working with a computer, working with data, gamification methods. Individual student work (e.g. reading and analysis) according to the teacher's instructions. |
Outcome description | Outcome symbols | Methods of verification | The class form |
Achieve at least 50% points from tasks
depending on the topic chosen while working with the student
lecturer's own materials
Modified by dr Magdalena Pokrzyńska (last modification: 22-04-2024 16:57)