{"id":null,"code":"TBMC1019","name":{"valueFi":"Seminars on Core Competences of Neuroimaging","valueEn":"Seminars on Core Competences of Neuroimaging","valueSv":"Seminars on Core Competences of Neuroimaging"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[{"code":"KEKE","title":{"valueFi":"Kestävä kehitys","valueEn":"Sustainable development","valueSv":"Sustainable development"}}],"createdAt":1790534678365,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"After this course, the student:\r\n- Can perform basic and intermediate neuroimage processing using standard neuroimaging tools.\r\n- Can perform quality control on structural, functional, and diffusion neuroimaging data and output.\r\n- Can perform basic and intermediate statistical modeling using neuroimaging data.\r\n- Can visualize neuroimaging results.\r\n- Knows the basics of command line use and simple scripts.\r\n- Knows the differences between different neuroimaging tools and approaches and how they can affect the results of processing and statistical analysis.\r\n- Recognizes the role of AI tools in neuroimage processing and analysis.","valueEn":"After this course, the student:\r\n- Can perform basic and intermediate neuroimage processing using standard neuroimaging tools.\r\n- Can perform quality control on structural, functional, and diffusion neuroimaging data and output.\r\n- Can perform basic and intermediate statistical modeling using neuroimaging data.\r\n- Can visualize neuroimaging results.\r\n- Knows the basics of command line use and simple scripts.\r\n- Knows the differences between different neuroimaging tools and approaches and how they can affect the results of processing and statistical analysis.\r\n- Recognizes the role of AI tools in neuroimage processing and analysis.","valueSv":"After this course, the student:\r\n- Can perform basic and intermediate neuroimage processing using standard neuroimaging tools.\r\n- Can perform quality control on structural, functional, and diffusion neuroimaging data and output.\r\n- Can perform basic and intermediate statistical modeling using neuroimaging data.\r\n- Can visualize neuroimaging results.\r\n- Knows the basics of command line use and simple scripts.\r\n- Knows the differences between different neuroimaging tools and approaches and how they can affect the results of processing and statistical analysis.\r\n- Recognizes the role of AI tools in neuroimage processing and analysis."}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"This course includes small group work and assignments that cover the most important tools for structural, functional, and diffusion imaging (such as FreeSurfer, SPM, CAT, FSL, fMRIprep, XCP-D, QSIprep) and necessary command line skills to operate these tools (Docker, bash and script writing basics). Furthermore, this course teaches statistical modeling with the output (either built into the neuroimaging tools, such as FSL’s Randomise, or general statistics programs such as R) and visualization of results. The role of AI tools will be incorporated into methodological teaching.\r\n\r\nThe course will also cover latest recommendations on how to promote sustainable development in human neuroimaging data collection and analyses.","valueEn":"This course includes small group work and assignments that cover the most important tools for structural, functional, and diffusion imaging (such as FreeSurfer, SPM, CAT, FSL, fMRIprep, XCP-D, QSIprep) and necessary command line skills to operate these tools (Docker, bash and script writing basics). Furthermore, this course teaches statistical modeling with the output (either built into the neuroimaging tools, such as FSL’s Randomise, or general statistics programs such as R) and visualization of results. The role of AI tools will be incorporated into methodological teaching.\r\n\r\nThe course will also cover latest recommendations on how to promote sustainable development in human neuroimaging data collection and analyses.","valueSv":"This course includes small group work and assignments that cover the most important tools for structural, functional, and diffusion imaging (such as FreeSurfer, SPM, CAT, FSL, fMRIprep, XCP-D, QSIprep) and necessary command line skills to operate these tools (Docker, bash and script writing basics). Furthermore, this course teaches statistical modeling with the output (either built into the neuroimaging tools, such as FSL’s Randomise, or general statistics programs such as R) and visualization of results. The role of AI tools will be incorporated into methodological teaching.\r\n\r\nThe course will also cover latest recommendations on how to promote sustainable development in human neuroimaging data collection and analyses."}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"Small group work (attendance required) and assignments.","valueEn":"Small group work (attendance required) and assignments.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"Small group work (39 hours) and independent work (96 hours).","valueEn":"Small group work (39 hours) and independent work (96 hours).","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"Tutorial materials. Reference articles and resources from the teachers.","valueEn":"Tutorial materials. Reference articles and resources from the teachers.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"","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":"Attendance and completing assignments","valueEn":"Attendance and completing assignments","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":"Master's Degree Programme in Human Neuroscience","valueEn":"MDP in Human Neuroscience","valueSv":"MDP in Human Neuroscience"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Jetro Tuulari, Elmo Pulli","valueEn":"Jetro Tuulari, Elmo Pulli","valueSv":"Jetro Tuulari, Elmo Pulli"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"Kestävä kehitys","valueEn":"Sustainable development","valueSv":"Sustainable development"}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}