{"id":null,"code":"DTEK2093","name":{"valueFi":"Machine Learning Health Technology Project","valueEn":"Machine Learning Health Technology Project","valueSv":"Machine Learning Health Technology Project"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534716189,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"","valueEn":"To learn the principles and limitations of machine learning and AI approaches for biosignals and health data. To learn how to build machine learning models suitable for these data types. To learn how to derive predictions from the analysis results. To learn how to improve the analysis/prediction accuracy by fusing different data sources. To develop practical skills in biosignal analysis by doing hands-on exercises.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"","valueEn":"Feature extraction and machine learning methods are discussed in the context of health and biosignal data. Machine learning models suitable for different data types are reviewed. The methods learned during the course are applied in practice on different datasets – including electrocardiogram (ECG), electroencephalogram (EEG), and seismocardiogram (SCG) signals – to investigate their benefits as well as their limitations.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"","valueEn":"Lectures, Group work, Final project, Presentation","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"","valueEn":"Lectures (6h), Studying the course materials (20h), Discussion session (2h), Final project preparation and group work (80h), Writing the final project report (12h), Presentation sessions (6h)","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"In English","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"DTEK0042 Acquisition and Analysis of Biosignals, TKO_3103 Data analysis and knowledge discovery","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"Hyväksytty/Hylätty","valueEn":"Pass/Fail","valueSv":"Pass/Fail"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Assessment criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Assessment criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Assessment criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kielet","valueEn":"Languages","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":""}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Lääketieteellinen tekniikka ja terveysteknologia","valueEn":"Biomedical Engineering and Health Technology","valueSv":"Biomedical Engineering and Health Technology"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Tuukka Panula","valueEn":"Tuukka Panula","valueSv":"Tuukka Panula"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}