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Stationary stochastic Processes

  • Number of credits 7.5 credits
  • Level Master’s level
  • Starting Autumn Term 2024

About the course

The aim of this course is that the student shall acquire a toolbox containing concepts and models for description and handling of stationary stochastic processes within many different areas, such as, signal processing, automatic control, information theory, economics, biology, chemistry, and
medicine. The mathematical and statistical elements are therefore illustrated using a wide variety of examples from different areas of application.
The course shall also give the student the ability to identify the presence of stationary processes in other courses in the education, use the knowledge of stationary processes in other courses, and translate the concepts and tools between different courses, building on stationary processes.

The course covers models for stochastic dependence, concepts for description of stationary stochastic processes in the time domain such as expectation, covariance, and cross-covariance functions, and concepts of description of stationary stochastic processes in the frequency domain such as effect spectrum and cross spectrum. Some important types of processes are introduced: Gaussian processes, Wiener processes, white noise and Gaussian fields in time and space. The course also covers stochastic processes in linear filters: relationships between in- and out-signals, auto regression and moving average (AR, MA, ARMA), and differentiation and integration of stochastic processes. Finally, the basics in statistical signal processing are introduced, including estimation of expectations, covariance function, spectrum, and applications of linear filters: frequency analysis and optimal filters.

Application and eligibility

Stationary stochastic Processes, 7.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2024 Det finns inga senare terminer för kursen

The information below is only for exchange students

Starts

1 November 2024

Ends

19 January 2025

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

The course requires a total of 90 ECTS including a course in Probability Theory on advanced level minimum 7,5 ECTS. Proficiency in English 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-A5824

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. Notification of admission will be sent in end of May.

Contact us

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Contactperson for the course is:
Study counselor Lars-Daniel Öhman