Signal processing and time-series analysis
Individual course
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
Responsible teacher
Contact person for applications
Data analytics
Degree student
