{"componentChunkName":"component---src-templates-course-unit-page-tsx","path":"/en/courseunit/ly00dw42/","result":{"data":{"translations":{"edges":[{"node":{"context":{"locale":"fi","code":"LY00DW42","title":"Tiedonlouhinta ympäristötieteessä"},"path":"/fi/opintojakso/ly00dw42/"}},{"node":{"context":{"locale":"en","code":"LY00DW42","title":"Data-Mining in Environmental Science"},"path":"/en/courseunit/ly00dw42/"}}]},"SISU":{"courseUnit":[{"id":"otm-585d9ab9-b9d6-371b-8eb9-7582f23faff5","code":"LY00DW42","name":{"en":"Data-Mining in Environmental Science","fi":"Tiedonlouhinta ympäristötieteessä","sv":"Tiedonlouhinta ympäristötieteessä"},"credits":{"max":5,"min":5},"studyLevel":null,"possibleAttainmentLanguages":[{"name":{"en":"English","fi":"englanti","sv":"engelska"}},{"name":{"en":"Finnish","fi":"suomi","sv":"finska"}}],"responsibleOrganisations":[],"coordinatingOrganisations":[],"curriculumPeriods":[],"cooperationNetworkDirection":"INBOUND","cooperationNetworks":[{"targetGroups":[{"activePhase":null,"educationIds":null,"educationTypes":["urn:code:education-type:degree-education:doctor"],"organisationIds":["jy-ORG-25","jy-ORG-52"],"educationGroupIds":null,"phase1OptionGroupIds":null,"phase2OptionGroupIds":null,"parentOrganisationIds":["jy-ORG-39","jy-ORG-27","jy-ORG-24","jy-ORG-55"],"learningOpportunityIds":null,"phase1OptionChildGroupIds":null,"phase2OptionChildGroupIds":null,"phase1EducationClassificationUrns":null,"phase2EducationClassificationUrns":null}],"description":{"en":"<p>This course is offered through the Network for Doctoral Studies. These studies are available for doctoral degree students studying in the University of Jyväskylä.</p>","fi":"<p>Tämä opintojakso on tarjolla tohtorikoulutusverkostossa. Verkoston opinnot ovat tarjolla Jyväskylän yliopiston tohtoriopiskelijoille.</p>"},"cooperationNetwork":{"abbreviation":"doc-courses","name":{"en":"National doctoral courses","fi":"Kansalliset tohtoriopinnot","sv":"National doctoral courses"}}}],"gradeScaleId":"sis-0-5","outcomes":{"en":"To learn the basic concepts and methods to be used with multivariate environmental data concerning visualization, clustering and predictive modeling.\r\n\r\nThe study unit develops the following generic skills/generic competences: digitalization, internationality, critical thinking, identification and development of expertise, interaction and communication.","fi":"Oppia monimuuttujaisen ympäristötiedon mallintamiseen liittyvät peruskäsitteet ja menetelmät liittyen tiedon visualisointiin, klusterointiin ja ennustemallintamiseen.\r\n\r\nOpintojakso kehittää seuraavia geneerisiä taitoja: Digitalisaatio, Kansainvälisyys, Kriittinen ajattelu, Oman asiantuntijuuden tunnistaminen ja kehittäminen, Vuorovaikutus ja viestintä."},"tweetText":null,"content":{"en":"Rehearsal of math’s and statistics, metrics and transformations for multivariate data, handling missing data Sammon&#39;s mapping, clustering methods, regression modeling of time-series, MLP neural networks, model validation","fi":"Matematiikan ja tilastotieteen kertausta, monimuuttujatiedon metriikat ja tiedon esikäsittely, puuttuvien arvojen korvaaminen, Sammonin kuvaus, klusterointimenetelmät, aikasarjatiedon regressiomallintaminen, MLP-neuroverkot, mallintamisen validointi"},"additional":{"en":"Replaces from 1.8.2025 courses Environmental Data Mining 3710458 and Advanced Course on Environmental Data Mining 3710459 in more compact form.\r\n\r\nOffering data: This study unit is intended for all.","fi":"Korvaa 1.8.2025 alkaen kurssit Environmental Data Mining 3710458 ja Advanced Course on Environmental Data Mining 3710459 tiiviimmässä muodossa.\r\n\r\nTarjontatieto: Avoin kaikille"},"prerequisites":{"en":"Recommended: basics of matrix calculus and statistics (rehearsed in the beginning of the course).","fi":"Matriisilaskenta ja tilastotieteen perusteet (kerrataan kurssin alussa)."},"compulsoryFormalPrerequisites":[],"recommendedFormalPrerequisites":[],"literature":[],"learningMaterial":null,"completionMethods":[]}],"prerequisiteCourseUnit":[],"prerequisiteModule":[]},"prerequisiteCourseUnitPage":{"nodes":[]},"prerequisiteModulePage":{"nodes":[]},"parentModulePage":{"nodes":[]}},"pageContext":{"type":"courseUnit","locale":"en","title":"Data-Mining in Environmental Science","id":"otm-585d9ab9-b9d6-371b-8eb9-7582f23faff5","code":"LY00DW42","prerequisiteCourseUnitIds":[],"prerequisiteModuleIds":[],"parentModuleIds":[],"curriculumPeriodStartDate":"2026-08-01","curriculumPeriodEndDate":"2027-08-01","coordinatingOrgIds":[],"searchable":false,"searchTags":null,"organisationIds":["otm-42edd1ec-1dc5-35c1-b11f-d74a959e96c9"],"organisations":[],"attainmentLanguages":["en","fi"],"hasSummerStudies":false,"teachingPeriods":[],"cooperationNetworkDirection":"INBOUND","hasCooperationNetworkSettings":true,"hasAvoinTeaching":false}}}