Back to all courses

Applied signal processing

Individual course

Min amount of FITech students: 4
Max amount of FITech students: 30 (including max. 5 degree students)

Course contents

  • basics of signal processing, dynamic systems and the related mathematics
  • sound synthesis
  • frequency analysis
  • audio signal restoration
  • pitch shift; digital filters
  • sound effects
  • speech recognition
  • vibration analysis
  • signal processing in Matlab

After completing the course the student can

  • explain common sound and signal processing methods in theoretical and practical terms,
  • implement and analyze sound and signal processing methods, and
  • independently study and analyze an advanced topic in signal processing and present and discuss it.

The course develops oral skills (presentation, peer review, english) and IT skills (Matlab, M language).

Teaching methods

The course is organized as independent studying with a given schedule, with some flexibility. Each week the student studies one topic, including answering a quiz and submitting solutions to the exercise. There are ten topics. By the end of the course, the student submits a recorded presentation and its self-assessment based on the given assessment rubrics.

Completion methods

Course completion requires answering ten quizzes, submitting ten weekly assignments, recording a presentation, and writing a self-assessment of the presentation based on the given assessment rubrics. There is no exam.

The submitted assignments are graded after the end of the course, after which the student has a chance to update such assignments that do not meet the minimum requirements yet.

You can get a digital badge after completing this course.


Responsible teacher

University of Vaasa
Janne Koljonen

Contact person for applications

FITech Network University
Monica Sandberg
Start here
Start here
ICT Studies
5G technology
Course code:
0 €
Teaching period:
Application deadline:
Application period has ended
Host university:
University of Vaasa
Study is open for:
Adult learner,
Degree student
Teaching methods:
General prerequisites:
Some pre-knowledge in digital signals, signal processing and/or the related mathematics (e.g, Fourier transform) and programming.
Interested in this course? Subscribe and get updates about the course directly to your email. You can cancel subscription any time you want.