Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


To be able to explain and use basic methods of statistical signal processing and apply them to various problems in engineering, data analytics and multisensor systems.

Credits: 5

Schedule: 06.09.2022 - 08.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Visa Koivunen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    Estimation, optimal and adaptive filtering, sensor array processing and multisensor systems

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Lectures, exercises and an exam. Taking the exam may require passed exercises.

  • valid for whole curriculum period:

    5 cr = 133 h

    Lectures, Exercises, Exam approximately 30 h, Independent studying (homeworks, preparing for exam, etc.) approximately 103 h

    Attendance in some contact teaching may be compulsory.


Substitutes for Courses
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure


Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II