220078 SE SE Advanced Data Analysis 3 (2022W)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 19.09.2022 09:00 to We 21.09.2022 18:00
- Deregistration possible until Mo 31.10.2022 23:59
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
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
- interpret the results of statistical analysis on data involving time series and panel data;
- visualize and run statistical analysis on longitudinal data with R