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.

LEARNING OUTCOMES

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: 04.09.2024 - 11.12.2024

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

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • 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.

Workload
  • valid for whole curriculum period:

    Lectures, Exercises, Exam, Independent studying (homeworks, preparing for exam, etc.)

    Attendance in some contact teaching may be compulsory.

DETAILS

Study Material
  • valid for whole curriculum period:

    Handout

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I - II
    2025-2026 Autumn I - II