Universität Wien

220078 SE SE Advanced Data Analysis 3 (2022W)

5.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 13.10. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 20.10. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 27.10. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 03.11. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 10.11. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 17.11. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 24.11. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 01.12. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 15.12. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 12.01. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 19.01. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG
  • Thursday 26.01. 09:45 - 11:15 Seminarraum 9, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

Course Objectives and Summary:

This is a data analysis seminar in workshop form focused on the application of principles of advanced statistical modeling in the context of longitudinal data, such as time series and panel data.

By the end of this course, participants will be able to:
- interpret the results of statistical analysis on data involving time series and panel data;
- visualize and run statistical analysis on longitudinal data with R

Assessment and permitted materials

Assessment will consist of take-home exams that will be distributed at some points during the semester and a final data analysis project that you will develop and complete using either your own data or data available to you through an advisor or through a public archive (I do not place any restrictions on the scope of possible data you could use).

Minimum requirements and assessment criteria

Ongoing in-class participation and additional readings are basic requirements. The course will be held in person (as a rule) and active participation will be positively evaluated.

Full details about grading will be given in the first session.

Examination topics

Required knowledge and practical skills will be conveyed in the workshop sessions and tutorials. In addition, participants are expected to read widely on the subject. Here, participants are required to consult the required basic reading and the additional literature in order to successfully complete the assignments.

Reading list

Association in the course directory

Last modified: Mo 17.10.2022 11:10