Course: Methods of Data Processing and Analysis in Social Science Research

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Course title Methods of Data Processing and Analysis in Social Science Research
Course code KAE/92ASV
Organizational form of instruction Seminary
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Stoklasa Jan, Mgr. et Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
  • Homework for Teaching - 75 hours per semester
  • Semestral Work - 25 hours per semester
  • Attendace - 10 hours per semester
  • Preparation for the Exam - 15 hours per semester
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Student performance, Dialog

Recommended literature
  • viz oddíl Studijní opory.
  • Hendl, J. (2005). Kvalitativní výzkum: základní metody a aplikace. Praha: Portál.
  • HENDL, J. (2004). Přehled statistických metod zpracování dat. Praha: Portál.
  • RAGIN, Charles. (2000). Fuzzy-Set Social Science. Chicago.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Economic and Managerial Studies (16) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Arts Study plan (Version): Economic and Managerial Studies (16) Category: Economy - Recommended year of study:-, Recommended semester: -