220050 SE SE Advanced Data Analysis 2 (2021S)
Continuous assessment of course work
Labels
MIXED
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 22.02.2021 09:00 to We 24.02.2021 18:00
- Deregistration possible until We 31.03.2021 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Die LV ist als Hybride-Lehre geplant!
-
Thursday
11.03.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
18.03.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
25.03.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
15.04.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
22.04.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
29.04.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
06.05.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
20.05.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
27.05.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
10.06.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
17.06.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG -
Thursday
24.06.
11:30 - 13:00
Hybride Lehre
Seminarraum 4, Währinger Straße 29 1.UG
Information
Aims, contents and method of the course
Assessment and permitted materials
Assignments distributed during the course, dealing with demonstrating the understanding of key concepts (30%).
A final data analysis project where participants will apply the knowledge and techniques learned during the course (70%).
A final data analysis project where participants will apply the knowledge and techniques learned during the course (70%).
Minimum requirements and assessment criteria
Ongoing in-class participation is required. The assignments and the final project will be evaluated based on their theoretical and methodological accuracy.
Examination topics
Theoretical knowledge and practical skills will be conveyed in the lectures, tutorials, and required readings.
Reading list
The literature will be made available to participants during the course
Association in the course directory
Last modified: Fr 12.05.2023 00:20
- describe the specificities of time series data and the fundamental concepts of time series analysis;
- interpret common types of analysis of time series;
- visualize and conduct time series analysis with R