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Predicting social behavior - course description

General information
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
Course information
Semester 1
ECTS credits to win 6
Course type obligatory
Teaching language english
Author of syllabus
  • dr Tomasz Kołodziej
  • dr Justyna Nyćkowiak
Classes forms
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

Aim of the course

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

Prerequisites

-

Scope

  • Data and database construction - principles and consequences of methodological choices
  • Describing data - basic measures
  • Methods of data transformation for the needs of selected analyses
  • Relationships and connections between data

Teaching methods

Working with a computer, working with data, gamification methods. Individual student work (e.g. reading and analysis) according to the teacher's instructions.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Achieve at least 50% points from tasks

Recommended reading

depending on the topic chosen while working with the student
lecturer's own materials

Further reading

Notes


Modified by dr Magdalena Pokrzyńska (last modification: 22-04-2024 16:57)