ZURn6402 Data Analysis Internship

Faculty of Social Studies
Spring 2020
Extent and Intensity
0/0/2. 10 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Mgr. Jakub Macek, 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
Prerequisites (in Czech)
ZURn6302 Statistical Analysis
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course covers a compulsory internship of 6 weeks (ie at least 240 hours). The course is designed for the student specialization "Media Research and Analytics" and takes the form of an internship in research agencies or analytical departments of media organizations. Students are engaged in analytical activities and participate in projects and routine work at the organization providing the internship.
Learning outcomes
The student will:
- Have direct experience of non-academic research
- better understand the functioning of non-academic research projects
- able to participate in teamwork
Syllabus
  • 1. Administration of the internship
  • 2. Internship
  • 3. Consultations of the internship with the assigned tutor (one of the teachers of the department)
  • 4. Internship report
Literature
  • K předmětu není přiřazena literatura.
Teaching methods
internship, consultations
Assessment methods
confirmation of the internship, attendance to consultations, report
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2020/ZURn6402