Signal processing and time-series analysis

Max amount of FITech students: 20

Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.

Course contents

The course covers both traditional signal processing and modern machine learning-based time series analysis.

Learning outcomes

After the course the students

• are able to analyse signals both in time and frequency domains
• master the most important traditional methods as well as modern machine learning methods among signal analysis methods
• are familiar with Fourier transform and understands the basics of digital filtering.

The course also introduces the application areas of signal processing.

Course materials

Lecture slides will be available on course site.

Teaching schedule

Weekly exercises and homework submissions. Exercises can also be submitted without attending the class room exercise sessions. Exam on campus, other parts can be completed online

Completion methods

Colpulsory exercises and exam.

Materials and teaching in English. Instructions, exercise and exam tasks available also in Finnish.

Please check the schedule from the University of Jyväskylä study guide.

You can get a digital badge after completing this course.

data-analytiikka