TIES3240 Signal Processing and Time-series Analysis (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English, Finnish
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
Description
The course covers both traditional signal processing and modern machine learning-based time series analysis.
Learning outcomes
The student is able to analyze signals both in time and frequency domains. Among signal analysis methods, the student masters the most important traditional methods as well as modern machine learning methods. The student is familiar with Fourier transform and understands the basics of digital filtering. The course also introduces the application areas of signal processing.
Description of prerequisites
Matematiikan perustaidot (kompleksiluvut, matriisit, vektorit ja niiden peruslaskutoimitukset), suositellaan Syväoppinen-opintojaksoa.
Completion methods
Method 1
Description:
Ilmoitetaan toteutuskohtaisesti
Evaluation criteria:
Ilmoitetaan toteutuskohtaisesti
Select all marked parts
Parts of the completion methods
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Participation in teaching (5 cr)
Type:
Participation in teaching
Grading scale:
0-5
Evaluation criteria:
<p>Ilmoitetaan toteutuskohtaisesti</p>
Language:
English, Finnish
Study materials:
Ilmoitetaan toteutuskohtaisesti