The main purpose of the course is that the student should be well aquainted with the basic notions, theory, models and methods for solutions, in time series analysis and spatial statistics. The course covers models for time dependent or spatially dependent data. Such data frequently occurs in financial (e.g. the price development of a merchandise) and scientific (e.g. metheorological observations, radar signales) applications.
The course consists of two parts.
Module 1 (6,5 hp) Theory. The module consists of the general theory of time series, stationary and non-stationary models, e.g. ARMA- and ARIMA-models, prediction of time series, spectral theory, parameter estimation, spectrum and filtration. The part also covers methods for measuring spatial dependence (variogram, covariogram), and techniques for spatial interpolation, especially kriging.
Module 2 (1 hp) Lab Assignments. The module consists of analysis of time series and spatial data using suitable software
The information below is only for exchange students
Starts
20 January 2025
Ends
24 March 2025
Study location
Umeå
Language
English
Type of studies
Daytime,
50%
Required Knowledge
The course requires 90 ECTS including one of the following options or equivalent knowledge
- minimum 12 ECTS in Mathematical Statistiscs or - minimum 6 ECTS in Mathematical Statistics and a course in Transform Methods minimum 7,5 ECTS or - minimum 75 ECTS in Statistics
In all options we also require a course in Basic Caculus minimum 7,5 ECTS. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies.
Selection
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
Application code
UMU-A5831
Application
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.
