{"id":null,"code":"TKO_7093","name":{"valueFi":"Statistical Data Analysis","valueEn":"Statistical Data Analysis","valueSv":"Statistical Data Analysis"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534321523,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"After completing this course, the student is able to\r\n\r\n- describe basic concepts of statistics and data analysis,\r\n- handle data sets programmatically,\r\n- use visualisation and numerical summarisation to explore data sets,\r\n- explain why and how statistical testing is performed,\r\n- choose suitable statistical methods to analyse given data, and\r\n- design and execute basic analysis with real-world data.","valueEn":"After completing this course, the student is able to\r\n\r\n- describe basic concepts of statistics and data analysis,\r\n- handle data sets programmatically,\r\n- use visualisation and numerical summarisation to explore data sets,\r\n- explain why and how statistical testing is performed,\r\n- choose suitable statistical methods to analyse given data, and\r\n- design and execute basic analysis with real-world data.","valueSv":"After completing this course, the student is able to\r\n\r\n- describe basic concepts of statistics and data analysis,\r\n- handle data sets programmatically,\r\n- use visualisation and numerical summarisation to explore data sets,\r\n- explain why and how statistical testing is performed,\r\n- choose suitable statistical methods to analyse given data, and\r\n- design and execute basic analysis with real-world data."}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"This course focuses on practical skills in data analysis. The lectures introduce theoretical concepts and discuss examples of how statistical analysis is performed. Hands-on skills are practised by solving exercises and a project work.\r\n\r\nThe topics of the course include:\r\n\r\n- basic concepts (e.g. statistical variables and statistical testing)\r\n- data handling (e.g. filtering and manipulation of data)\r\n- exploratory analysis (e.g. data summaries and visualisation)\r\n- common statistical tests\r\n\r\nThe overall objective of the course is that the students learn basic knowledge and skills they will need in handling and analysing their own data in the future.","valueEn":"This course focuses on practical skills in data analysis. The lectures introduce theoretical concepts and discuss examples of how statistical analysis is performed. Hands-on skills are practised by solving exercises and a project work.\r\n\r\nThe topics of the course include:\r\n\r\n- basic concepts (e.g. statistical variables and statistical testing)\r\n- data handling (e.g. filtering and manipulation of data)\r\n- exploratory analysis (e.g. data summaries and visualisation)\r\n- common statistical tests\r\n\r\nThe overall objective of the course is that the students learn basic knowledge and skills they will need in handling and analysing their own data in the future.","valueSv":"This course focuses on practical skills in data analysis. The lectures introduce theoretical concepts and discuss examples of how statistical analysis is performed. Hands-on skills are practised by solving exercises and a project work.\r\n\r\nThe topics of the course include:\r\n\r\n- basic concepts (e.g. statistical variables and statistical testing)\r\n- data handling (e.g. filtering and manipulation of data)\r\n- exploratory analysis (e.g. data summaries and visualisation)\r\n- common statistical tests\r\n\r\nThe overall objective of the course is that the students learn basic knowledge and skills they will need in handling and analysing their own data in the future."}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"- project work (individually or in group)\r\n- exam","valueEn":"- project work (individually or in group)\r\n- exam","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"- live and video lectures (30 h)\r\n- weekly exercises and self study (60 h)\r\n- project work (30 h)\r\n- exam (15 h)","valueEn":"- live and video lectures (30 h)\r\n- weekly exercises and self study (60 h)\r\n- project work (30 h)\r\n- exam (15 h)","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"This course cannot be taken if one of the following courses has already been completed: BIOI2241 Introduction to Statistical Analysis, BIMA3105 Statistics in Biomedical Sciences.\r\n\r\nThe course strengthens the following working life skills:\r\n\r\n- problem solving skills\r\n- project management\r\n- communication skills\r\n- cooperation and negotiation skills\r\n- information and communication technology skills","valueEn":"This course cannot be taken if one of the following courses has already been completed: BIOI2241 Introduction to Statistical Analysis, BIMA3105 Statistics in Biomedical Sciences.\r\n\r\nThe course strengthens the following working life skills:\r\n\r\n- problem solving skills\r\n- project management\r\n- communication skills\r\n- cooperation and negotiation skills\r\n- information and communication technology skills","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"- basic programming skills\r\n- basic knowledge in statistics","valueEn":"- basic programming skills\r\n- basic knowledge in statistics","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":"Both the project work and the exam must be successfully completed to pass this course. The grade will be determined by the quality of the project work and the success in the exam.","valueEn":"Both the project work and the exam must be successfully completed to pass this course. The grade will be determined by the quality of the project work and the success in the exam.","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":"Tietojenkäsittelytieteet","valueEn":"Computer Science","valueSv":"Computer Science"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Juho Heimonen, Riku Klén","valueEn":"Juho Heimonen, Riku Klén","valueSv":"Juho Heimonen, Riku Klén"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}