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Applied signal processing

Individual course

Max amount of FITech students: 20 adult learners

Course contents

  • basics of signal processing, dynamic systems and 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 analyse sound and signal processing methods, and
  • independently study and analyse 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 organised as independent studies 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 (10) topics. By the end of the course, the student submits a recorded presentation and its self-assessment based on the given assessment rubrics.

You can attend the course lectures either in class or on Zoom (recordings available, no mandatory attendance). The course also includes exercises that can be done independently or in class.

The course schedule will be available in the study guide (see link below).

Completion methods

You can complete the course fully online, but you can also attend the teaching sessions on campus.

Course completion requires:

  • answering ten (10) quizzes
  • submitting ten (10) weekly assignments
  • recording a presentation, and writing a self-assessment of the presentation.

The course doesn’t have an exam. The submitted assignments are graded after the course. After grading students have a chance to update assignments that do not meet the minimum requirements yet.

More information in the University of Vaasa study guide.

You can get a digital badge after completing this course.

Responsible teacher

University of Vaasa
Janne Koljonen

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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ICT studies
5G technology
Course code:
Study credits:
0 €
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Host university:
University of Vaasa
Who can apply:
Adult learner
Teaching method:
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General prerequisites:
Some knowledge in digital signals, signal processing and/or the related mathematics (e.g, Fourier transform) and programming.
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