{"id":129,"date":"2022-01-07T15:39:40","date_gmt":"2022-01-07T15:39:40","guid":{"rendered":"https:\/\/math-sites.uncg.edu\/statistics-reu\/?page_id=129"},"modified":"2025-01-27T16:25:26","modified_gmt":"2025-01-27T21:25:26","slug":"reu-2020","status":"publish","type":"page","link":"https:\/\/math-sites.uncg.edu\/statistics-reu\/reu-2020\/","title":{"rendered":"STATS REU May 23- July 31, 2020"},"content":{"rendered":"

\"NSF<\/strong>Complex Data Analysis using Statistical and Machine Learning Tools<\/h2>\n

UNC Greensboro, one of the campuses of the University of North Carolina System, will offer a 10-week REU program from May 23 \u2013 July 31, 2020 for 8 nationally recruited undergraduate students from mathematical sciences. The program is funded by an\u00a0NSF grant DMS-1950549.<\/strong><\/p>\n

The focus of the program will be on\u00a0Complex Data Analysis using Statistical and Machine Learning Tools.\u00a0<\/strong>The eight students will be divided into 4-5 research teams of up to 2 students, each headed by a team of faculty Mentors. Students will be able to choose from a wide range of Projects covering topics such as high dimensional data analysis, subdata selection, machine learning, robust data analysis, and data confidentiality.<\/p>\n

Emphasis during the training will be on both theory and applications. In addition to focused research on these topics, the program will offer participants a broad professional development training. As part of the training, students will undertake trips to major research centers in NC such as SAS, SAMSI (Statistical and Applied Mathematical Sciences Institute), and the Joint School of Nano Science and Nano Engineering.<\/p>\n

The program will include plenty of social activities such as weekly dinners, movies, visits to regional lakes and parks, and picnics etc. Students will live in apartment style Housing on campus with each apartment accommodating 3-4 students divided by gender.<\/p>\n

For Information, contact Program Director Dr Sat Gupta by email at\u00a0sngupta@uncg.edu<\/a>, or the Mathematics and Statistics Department at\u00a0math_sci@uncg.edu<\/a>\u00a0or\u00a0kryoung3@uncg.edu<\/a>. You may also call Katelyn at 336-334-5836.<\/p>\n","protected":false},"excerpt":{"rendered":"

Complex Data Analysis using Statistical and Machine Learning Tools UNC Greensboro, one of the campuses of the University of North Carolina System,…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-reu.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-129","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/pages\/129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/comments?post=129"}],"version-history":[{"count":5,"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/pages\/129\/revisions"}],"predecessor-version":[{"id":386,"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/pages\/129\/revisions\/386"}],"wp:attachment":[{"href":"https:\/\/math-sites.uncg.edu\/statistics-reu\/wp-json\/wp\/v2\/media?parent=129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}