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040715 UK Zeitreihenanalyse (UK) (2022W)
Continuous assessment of course work
Labels
ON-SITE
Summary
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 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Deregistration possible until Sa 15.10.2022 23:59
Registration information is available for each group.
Groups
Group 1
Ausführliche Kursbeschreibung auf Homepage
http://homepage.univie.ac.at/erhard.reschenhofer/
http://homepage.univie.ac.at/erhard.reschenhofer/
max. 35 participants
Language: German
Lecturers
Classes
Format:
1. Classroom: Explanation of theoretical concepts and illustrative examples
2. Guided self-learning: Online lecture notes and supporting material
3. Projects: Analysis of macroeconomic, financial and climatological data (discussion of results face to face or online)
Group 1: Tuesday, 09:40-11:20, HS3, OMP1
Group 2: Tuesday, 11:20-13:00, HS3, OMP1
Group 2
Ausführliche Kursbeschreibung auf Homepagehttp://homepage.univie.ac.at/erhard.reschenhofer/
max. 35 participants
Language: German
Lecturers
Classes
Format:
1. Classroom: Explanation of theoretical concepts and illustrative examples
2. Guided self-learning: Online lecture notes and supporting material
3. Projects: Analysis of macroeconomic, financial and climatological data (discussion of results face to face or online)
Group 1: Tuesday, 09:40-11:20, HS3, OMP1
Group 2: Tuesday, 11:20-13:00, HS3, OMP1
Information
Aims, contents and method of the course
Assessment and permitted materials
Projects: up to 3 x 7 points
Exercises: up to 2 x 1 points
Proofs: up to 9 x 1 points
Exercises: up to 2 x 1 points
Proofs: up to 9 x 1 points
Minimum requirements and assessment criteria
Grading: 2: 25-28, 3: 21-24, 4: 17-20
Examination topics
Lecture notes on homepage https://homepage.univie.ac.at/erhard.reschenhofer/
Reading list
Brockwell, P. J. and R. A. Davis: Introduction to Time Series and Forecasting, Springer
Association in the course directory
Last modified: Sa 20.08.2022 20:28
Time series operators
Moving average filters
Seasonal adjustment
Cycles
Spectral analysis
Autocorrelation
ARFIMA processes
Parametric spectral analysis
GARCH processes