{"product_id":"sc26cn07","title":"SC26CN07. Quantitative analysis, visualization, and modelling of detrital geochronology data.","description":"\u003cp\u003e\u003cstrong\u003eFull Title:\u003c\/strong\u003e Quantitative Analysis, Visualization, and Modelling of Detrital Geochronology Data\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePrice:\u003c\/strong\u003e US$90 for non-members; US$75 for professional members; US$45 for student members; US$60 for early career professional members.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eLed by:\u003c\/strong\u003e Joel Saylor; Kurt Sundell; Glenn Sharman; Ryan Nielsen; Chance Ronemus\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eEndorser(s):\u003c\/strong\u003e GSA Sedimentary Geology Division; GSA Structural Geology and Tectonics Division; GSA Geochronology Division; GSA Geoinformatics and Data Science Division; SEPM (Society for Sedimentary Geology)\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eIndustry Track(s):\u003c\/strong\u003e Economic Geology\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e Sat., 10 Oct. 2026\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eLocation:\u003c\/strong\u003e GSA Connects 2026, Denver, Colorado, USA\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eTime:\u003c\/strong\u003e 8 a.m.–5 p.m.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e In-Person\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCEUs:\u003c\/strong\u003e 0.80\u003c\/p\u003e\n\n\u003cp\u003eAlongside the growth in detrital geochronology datasets is a developing body of best practices, techniques, and tools for analyzing these data. This course will introduce participants to the technical background necessary to understand and apply recently developed sample comparison and data analysis techniques, including quantitative intersample comparison, data visualization, and mixture modelling.\u003c\/p\u003e\n\n\u003cp\u003eFollowing a theoretical and hands-on introduction, participants will apply existing tools for the expedited analysis of large datasets. This introduction will familiarize users with working in Python and Matlab, but no coding experience is necessary to participate.\u003c\/p\u003e\n\n\u003cp\u003eParticipants are encouraged to bring their own datasets, if available.\u003c\/p\u003e\n\n\u003cp\u003eFor member-type discounts, please contact \u003ca href=\"mailto:shortcourse@geosociety.org\"\u003eshortcourse@geosociety.org\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp\u003eBy purchasing this item, you are buying a seat for an in-person course.\u003c\/p\u003e\n\n\u003cp\u003eShort courses offer continuing education units (CEUs). One CEU equals 10 hours of participation in an organized continuing education experience under responsible sponsorship, capable direction, and qualified instruction.\u003c\/p\u003e\n\n\u003cp\u003eLearn more about this and other GSA Connects 2026 events.\u003c\/p\u003e\n\n\u003cp\u003eFor additional information, please contact \u003ca href=\"mailto:shortcourse@geosociety.org\"\u003eshortcourse@geosociety.org\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eProduct Code:\u003c\/strong\u003e SC26CN08\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eProduct Category:\u003c\/strong\u003e SHORTC\u003c\/p\u003e","brand":"GSA Online Store","offers":[{"title":"Default Title","offer_id":49449932521701,"sku":"SC26CN07","price":90.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0728\/4070\/8325\/files\/ResizedSC26CN07w-text.jpg?v=1780407194","url":"https:\/\/store.geosociety.org\/products\/sc26cn07","provider":"GSA Online Store","version":"1.0","type":"link"}