{"id":3112,"date":"2022-02-28T16:38:59","date_gmt":"2022-02-28T07:38:59","guid":{"rendered":"http:\/\/www-dsc-vm.naist.jp\/dsc_naist\/?page_id=3112"},"modified":"2024-04-15T13:55:27","modified_gmt":"2024-04-15T04:55:27","slug":"program","status":"publish","type":"page","link":"https:\/\/www-dsc.naist.jp\/dsc_naist\/en\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<h2>Lecture and Seminar Information<\/h2>\n<p>The Data Science Program is designed to allow students to take many cross-disciplinary courses that span the areas of data science, bioinformatics, and materials informatics. For details, please check the course classifications in the <a href=\"https:\/\/edu-portal.naist.jp\/\">syllabus<\/a>.<\/p>\n<p>Note that the following courses are <strong>required<\/strong><br \/>\nFundermentals of Data Science (3039) 4\/18 &#8211; 5\/7<br \/>\nData Science (4105) 6\/1 &#8211; 7\/26<br \/>\nData Science PBL 1 (5013) Late Jul. (TBD) &#8211; <br \/>\nData Science PBL 2 (5014) Late Oct. (TBD) &#8211;<\/p>\n<p>The course requirements for the Data Science program for the 2024 academic year are listed below.<\/p>\n<p>Please note that course requirements depend on your program.<\/p>\n<p>In the Data Science Program, students must take,<\/p>\n<ul>\n<li>(i) One course from &#8220;Introduction to Information Science and Engineering,&#8221; &#8220;Introduction to Bioscience,&#8221; or &#8220;Introduction to Materials Science and Engineering,&#8221; in the same area as your laboratory;<\/li>\n<li>(ii) One course in either &#8220;Biology with data science&#8221; or &#8220;Materials Informatics&#8221;<\/li>\n<li>(iii) One course from &#8220;Sequential Data Modeling,&#8221; &#8220;Visual Media Processing I,&#8221; &#8220;Data Mining,&#8221; &#8220;Multidimensional Signal Processing,&#8221; &#8220;Natural Language Processing,&#8221; &#8220;Mathematical Models in Biology,&#8221; &#8220;Advanced Techniques in Bioscience,&#8221; &#8220;Statistics and Mathematics in Bioscience,&#8221; &#8220;Light and Information Devices Special&#8221;.<\/li>\n<\/ul>\n<p>In total, \u00a0three Core subjects must be completed.<\/p>\n<p>About other individually scheduled practical training, lectures, and off-campus courses, please see below for detailed information,<\/p>\n<p><a href=\"https:\/\/www-dsc.naist.jp\/dsc_naist\/dsc-pbl\/\">Data Science Project Based Learning I, II<\/a><\/p>\n<p><a href=\"https:\/\/www-dsc.naist.jp\/dsc_naist\/en\/event_taxonomy\/ds-invited-talk\/\">Special Lectures in Data Science<\/a><\/p>\n<p><a href=\"https:\/\/www-dsc.naist.jp\/dsc_naist\/duex\/\">Kansai Consortium for Data-related Human Resource Development (in Japanese)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lecture and Seminar Information The Data Science Program is designed to allow students to take many cross-disc [&hellip;]<\/p>\n","protected":false},"author":53,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"en_US","_original_post":"http:\/\/www-dsc-vm.naist.jp\/dsc_naist\/?page_id=1311","_links_to":"","_links_to_target":""},"acf":[],"_links":{"self":[{"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/3112"}],"collection":[{"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/users\/53"}],"replies":[{"embeddable":true,"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/comments?post=3112"}],"version-history":[{"count":15,"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/3112\/revisions"}],"predecessor-version":[{"id":5263,"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/3112\/revisions\/5263"}],"wp:attachment":[{"href":"https:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/media?parent=3112"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}