{"id":null,"code":"MTEK0035","name":{"valueFi":"Machine Learning for Materials Science","valueEn":"Machine Learning for Materials Science","valueSv":"Machine Learning for Materials Science"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[{"code":"KEKE","title":{"valueFi":"Kestävä kehitys","valueEn":"Sustainable development","valueSv":"Sustainable development"}},{"code":"YRI1","title":{"valueFi":"Yrittäjyysosaaminen","valueEn":"Entrepreneurship skills","valueSv":"-"}}],"createdAt":1790534746092,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"","valueEn":"Subject-specific competence:\r\nAfter the course, the student can identify research questions in materials science that can be solved by machine learning. They can explain basic data analysis and select suitable representations as input for ML. They can evaluate which ML methods might be best for tackling different materials science problems, and how to improve model performance. They can plan and carry out a ML project on materials data. \r\n\r\nTransferable skills:\r\nAfter the course, the student will gain experience with problem solving, critical thinking and data analytics. They will practice team work, collaboration and scientific communication. They will gain project management skills, practice data visualization and presentation. They will acquire IT skills with computer software for simulations and material visualisation. They will exercise critical thinking, peer and self evaluation and gain experience with giving and receiving feedback.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"","valueEn":"Machine learning (ML) techniques enable us to infer relationships from a large amount of seemingly uncorrelated input data. Their predictive power has made them central to product development in IT and we already use them in daily life (Amazon, Netflix, etc.). Materials science has recently benefited from a number of ML applications to materials discovery and design (featuring unsupervised learning, tree models, neural networks regression methods, and Bayesian optimisation) that promise to accelerate development of novel sustainable technologies. \r\n\r\n\"Machine learning for Materials Science\" is a project-led lecture course for graduate students who wish to acquire key skills in this cross-disciplinary research field. Introductory lectures on materials science and machine learning will be followed by hands-on exercises and a research project. The research work will be carried out in mixed teams (free choice of topic) and provides ideal opportunities for learning on realistic materials science datasets (experimental or computational). The target of the project work is to get hands-on experience in this field and explore the performance of different ML methods on different datasets, which already constitutes an important contribution to the field and the career of course participants.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"","valueEn":"Attending lectures and participating in discussions, completing exercises and project work, participating in peer evaluation and self-evaluation.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"","valueEn":"Lectures, group discussions, hands-on exercises, project work, peer and self evaluation.","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"Scientific publications, books, videos and hands-on exercises.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"It is recommended that the students complete a minimum of 120 ECT in a BSc degree in Mechanical or Materials Engineering, Physics, Chemistry or Computer Science before taking this course.\r\n\r\nNOTE: MTEK0035 is offered every second year and will next be available in 2025-2026.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"Course is suitable for students of natural sciences and technology. Some Python programming skills are needed for project implementation, can be learned during the course.","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"0-5","valueEn":"0-5","valueSv":"0-5"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"","valueEn":"Class attendance, exercise sheets, completion of project, learning diary","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":"Materiaalitekniikka","valueEn":"Materials Engineering","valueSv":"Materials Engineering"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Milica Todorovic","valueEn":"Milica Todorovic","valueSv":"Milica Todorovic"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"Kestävä kehitys, Yrittäjyysosaaminen","valueEn":"Sustainable development, Entrepreneurship skills","valueSv":"Sustainable development, -"}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}