{"id":null,"code":"TÄHT7023","name":{"valueFi":"Statistical Methods","valueEn":"Statistical Methods","valueSv":"Statistical Methods"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534741686,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"","valueEn":"The student will understand basic concepts of statistics and data analysis, be able to: write programs that can be run on real data or self-programmed artificial data; calculate mean, standard deviations, and other statistical parameters; evaluate when normal distribution is a suitable approximation and when other probability distributions are needed; understand the meaning and difference between \"sigma\" and confidence levels; calculate estimates for the confidence levels of a set of measurements; compare statistical parameters from different datasets or to model data; quantify whether a small deviation observed in the data is significant; plan experiment based on statistical requirements for the data; perform a least squares fit to a dataset and critically evaluate when it is a sensible thing to do; evaluate the goodness of fit; understand the basic concepts of a Bayesian analysis method; make a real attempt for a Bayesian analysis solving.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"","valueEn":"Introduction to statistical methods for data analysis and interpretation in astronomy and physics. Measurements and their handling, probability distributions, correlation coefficients, analysis of variances. Error estimation. Least squares methods, other optimization methods. Goodness of fit. Decision making. Introduction to Bayesian methods, Bayesian methods in practice. The course contains a number of computer exercises that require programming.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"","valueEn":"Written exam\r\nParticipation in classroom work\r\nMinimum 50% of exercises and the final exam.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"","valueEn":"Lectures 26 h; \r\nExercises 12 h; \r\nHomework and computational tasks.","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"Course will be organized in autumn 2025.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"Good familiarity with a high-level programming language. \r\nPractical part of the course will be based on Python.","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":"","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":"Tähtitiede","valueEn":"Astronomy","valueSv":"Astronomy"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Sergey Tsygankov","valueEn":"Sergey Tsygankov","valueSv":"Sergey Tsygankov"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}