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These studies are available for the following degree students:</p><ul><li>Bachelor's Degree Programme in Mathematics</li><li>Master's Degree Programme in Mathematics</li><li>Bachelor's Degree Programme in Mathematics (Subject Teacher)</li><li>Master's Degree Programme in Mathematics&nbsp;(Subject Teacher)</li><li>Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)</li><li>Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)</li><li>Doctoral Programme in Mathematics and Statistics</li><li>Doctoral Programme in Mathematics and Science (Specialication in Mathematics)</li><br></ul>","fi":"<p>Tämä opintojakso on tarjolla Matematiikan syventävät opinnot -ristiinopiskeluverkostossa. Verkoston opinnot ovat tarjolla seuraaville opiskelijoille:</p><ul><li>Matematiikan kandidaattiohjelma</li><li>Matematiikan maisteriohjelma</li><li>Matematiikan aineenopettajien kandidaattiohjelma</li><li>Matematiikan aineenopettajien maisteriohjelma</li><li>Matematiikan, kemian tai fysiikan aineenopettajan ja luokanopettajan kandidaattiohjelma (matematiikan opintosuunta)</li><li>Matematiikan, kemian tai fysiikan aineenopettajan ja luokanopettajan maisteriiohjelma (matematiikan opintosuunta)</li><li>Matematiikan ja tilastotieteen tohtoriohjelma</li><li>Matemaattisten tieteiden ja luonnontieteiden tohtoriohjelma (matematiikan opintosuunta)</li><br></ul>"},"cooperationNetwork":{"abbreviation":"matematiikansyventavat","name":{"en":"Cross-institutional studies in advanced courses in mathematics and statistics","fi":"Matematiikan ja tilastotieteen syventävien kurssien ristiinopiskelu","sv":"Korsstudier i fördjupade kurser i matematik och statistik"}}}],"gradeScaleId":"sis-0-5","outcomes":{"en":"Student will become familiar with the basics of computational statistics methods.","fi":"Opiskelija tutustuu laskennallisten tilastollisten menetelmien perusteisiin.","sv":"Opiskelija tutustuu laskennallisten tilastollisten menetelmien perusteisiin."},"tweetText":null,"content":{"en":"Be familiar with computational statistics methods with examples. The course examines, among other things, the simulation type approach to various statistical problems, the Monte Carlo error, and the bootstrap method.","fi":"Tutustutaan laskennallisen tilastotieteen menetelmiin esimerkein. Kurssilla tarkastellaan simulointilähestymistapaa erilaisiin ongelmiin, käsitellään satunnaismenetelmien Monte Carlo -virhettä ja tutustutaan muun muassa saapasremmimenetelmään (bootstrap).","sv":"Tutustutaan laskennallisen tilastotieteen menetelmiin esimerkein. Kurssilla tarkastellaan simulointilähestymistapaa erilaisiin ongelmiin, käsitellään satunnaismenetelmien Monte Carlo -virhettä ja tutustutaan muun muassa saapasremmimenetelmään (bootstrap)."},"additional":{"en":"The course is held every year. Students majoring in statistics can complete the course already in the third academic year (B.Sc. phase) before starting advanced studies, where many courses make use of the methods of this course.\r\n\r\nIf you wish to complete the course in English, please contact the person in charge of the course.","fi":"Opintojakso järjestetään joka vuosi. Tilastotieteen pääaineopiskelijat voivat suorittaa kurssin jo kolmantena lukuvuotena (LuK-vaiheessa) ennen syventävien opintojen aloittamista, joissa monien kurssien yhteydessä hyödynnetään tämän kurssin menetelmiä."},"prerequisites":{"en":"Knowledge on statistical inference (intermediate level courses TILM3561 and TILM3707). A short summary on the essential topics in those courses is given in TILM3627/TILM3597 Statistical learning: Boot camp.\r\n\r\nIn addition, some statistical programming course, such as TILM3708 Statistical Programming and Visualisation.","fi":"Tilastotieteen aineopintojen pakolliset kurssit, erityisesti Tilastollinen päättely I (TILM3561) ja II (TILM3707). Sivuaineopiskelijat ja väitöskirjatutkijat voivat suorittaa myös kurssin TILM3627/TILM3597 Statistical learning: Boot camp, jonka yhteydessä kerrataan tiivistetysti tilastotieteen aineopintojen keskeisiä sisältöjä.\r\n\r\nLisäksi jokin ohjelmointikurssi, kuten erityisesti TILM3708 Tilastollinen ohjelmointi ja visualisointi."},"compulsoryFormalPrerequisites":[],"recommendedFormalPrerequisites":[],"literature":[],"learningMaterial":null,"completionMethods":[]}],"prerequisiteCourseUnit":[],"prerequisiteModule":[]},"prerequisiteCourseUnitPage":{"nodes":[]},"prerequisiteModulePage":{"nodes":[]},"parentModulePage":{"nodes":[]}},"pageContext":{"type":"courseUnit","locale":"en","title":"Introduction to Computational Statistics","id":"otm-8a4bab50-a90d-3acd-8c88-8b608f2f7618","code":"TILM3618","prerequisiteCourseUnitIds":[],"prerequisiteModuleIds":[],"parentModuleIds":[],"curriculumPeriodStartDate":"2026-08-01","curriculumPeriodEndDate":"2027-08-01","coordinatingOrgIds":[],"searchable":false,"searchTags":null,"organisationIds":["otm-69f8ea31-de0c-3050-ab2a-e571fbab1f95"],"organisations":[],"attainmentLanguages":[],"hasSummerStudies":false,"teachingPeriods":[],"cooperationNetworkDirection":"INBOUND","hasCooperationNetworkSettings":true,"hasAvoinTeaching":false}}}