ZURd0005 Data analysis I

Faculty of Social Studies
Spring 2022
Extent and Intensity
0/2/0. 10 credit(s). Type of Completion: z (credit).
Teacher(s)
Charles Michael Elavsky, Ph.D. (seminar tutor)
doc. Mgr. Jakub Macek, Ph.D. (seminar tutor)
doc. Mgr. et Mgr. Hana Macháčková, Ph.D. (seminar tutor)
Mgr. et Mgr. Alena Pospíšil Macková, Ph.D. (seminar tutor)
prof. PhDr. David Šmahel, Ph.D. (seminar tutor)
Guaranteed by
prof. PhDr. David Šmahel, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Ing. Bc. Pavlína Brabcová
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
In the course, the students will complete internal or external data analysis courses or methodological workshops, respectively (which may include summer schools), relevant to their doctoral thesis. Courses and summer schools should develop analytical skills in selected fields of methodology which are relevant for the individual need of the student. Approvals of courses or summer schools are dependent upon agreement with the supervisor, or after consultation with the program guarantor. Data analysis courses may be repeated, but the student may not complete the same course they has already completed.
Learning outcomes
The course develops learning outcomes No.1, 3, 4, 5 and 6.
Syllabus
  • To complete the course, the student will complete internal or external data analysis courses or methodological workshops, which can include summer schools. It is the student’s responsibility to provide proof of completion of the course including evidence of the hourly workload. On the basis of the document presented, the student gets a credit. Credits will be allocated based on the number of hours to complete the course (1 credit = 25 hours of workload). The credit and the number of credits will be assigned by the student’s supervisor.
Teaching methods
Varies across types of courses
Assessment methods
credit
Language of instruction
Czech
Further Comments
The course is taught each semester.
The course is also listed under the following terms Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.
  • Enrolment Statistics (Spring 2022, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2022/ZURd0005