{"id":458,"date":"2019-08-01T18:14:31","date_gmt":"2019-08-01T09:14:31","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/smartse\/?p=458"},"modified":"2022-05-13T18:16:08","modified_gmt":"2022-05-13T09:16:08","slug":"participants-for-the-waseda-university-smart-se-program-global-development-and-cooperation-project-in-data-analytic%e3%80%80waseda-university-students-only","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/smartse\/news\/458","title":{"rendered":"Participants for the Waseda University Smart SE program \u201cGlobal development and cooperation project in data analytic\u201d\u3000(Waseda University Students Only)"},"content":{"rendered":"

\u201cGlobal development and cooperation project in data analytics\u201d<\/strong><\/p>\n

Purpose of the project:<\/strong><\/p>\n

The Purpose of this project is for overseas graduate students to have the experience of \u2018working with adult engineers from different cultures and fields on issues regarding \u201cMachine learning\u201d and \u201cData analytics\u201d in a team environment in English.<\/p>\n

This is a good opportunity to connect with working professionals from the SmartSE program whose background is in cutting-edge ICT.<\/p>\n

Content:<\/strong><\/p>\n

Participants will form a team to analyze given dataset (or systems) in software systems development and operation by adopting Machine Learning and related data analytics techniques, and finally demonstrate the result at the end of the project course.<\/p>\n

\u203bNon-credit course<\/p>\n

Date:<\/strong><\/p>\n

Sat, Sep 28th 2019, 13:00-19:00<\/p>\n

Sun, Sep 29th 2019, 8:30-17:30<\/p>\n

Place:<\/strong><\/p>\n

1st<\/sup>\u00a0Floor, GCS Center (Green Computing Systems Center),<\/p>\n

Waseda University, 27 Waseda-Machi, Shinjuku-ku, Tokyo 162-0042<\/p>\n

Access<\/a><\/p>\n

Details<\/strong>\uff1a<\/strong><\/p>\n

Language:<\/strong>\u3000English<\/p>\n

Expected number of international graduate students:<\/strong>\u30004-7 persons<\/p>\n

Smart SE\u00a0<\/strong>students (working professionals):<\/strong>\u30005-8 persons<\/p>\n

International students who can apply:\u3000<\/strong>Any Waseda University graduate (or undergraduate) student who has already learned the basics of Machine learning and can speak English.<\/p>\n

Transportation expenses:<\/strong>\u00a0\u3000Actual expenses provided.\u203bKitakyushu Campus students only.<\/p>\n

Accommodation expenses:<\/strong>\u00a0\u3000Provided a maximum of 8,000 yen.\u203bKitakyushu Campus students only.<\/p>\n

Professors in charge:<\/strong><\/p>\n

Hironori Washizaki, Kazunori Sakamoto, Naohiko Tsuda (Waseda University) (To Be Confirmed)<\/p>\n

Guest\u00a0<\/strong>professor<\/strong>:<\/strong><\/p>\n

Prof. Yann-Ga\u00ebl Gu\u00e9h\u00e9neuc (Concordia University, Canada) (To Be Confirmed)<\/p>\n

\uff1c\uff1c Schedule \uff1e\uff1e<\/strong><\/p>\n

Sat, Sep 28th 2019<\/strong><\/p>\n

13:00-14:30 Team building, brief explanation on analytics and given dataset (or systems)<\/p>\n

14:40-16:10 Analysis and development by team 1<\/p>\n

16:20-17:50 Analysis and development by team 2 and wrap-up of 1st day<\/p>\n

18:00-19:00 Casual get together<\/p>\n

Sun, Sep 29th 2019<\/strong><\/p>\n

8:30-10:00 Analysis and development by team 3<\/p>\n

10:10-11:40 Analysis and development by team 4<\/p>\n

12:40-14:10 Analysis and development by team 5<\/p>\n

14:20-15:50 Team presentation and discussion<\/p>\n

16:30-17:30 Team presentation and discussion (cont.); Project wrap-up<\/p>\n

Click here to apply.<\/strong><\/a><\/p>\n

\u203b Application deadline: August 20, 2019 (Tuesday)<\/strong><\/p>\n

\u203b Please note that you may not be able to participate if there are a large number of applications<\/strong>.<\/p>\n

\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a\uff0a<\/p>\n

\u30b9\u30de\u30fc\u30c8\u30a8\u30b9\u30a4\u30fc\u300c\u30b0\u30ed\u30fc\u30d0\u30eb\u958b\u767a\u5b9f\u7fd2\u300d\u3000\u53c2\u52a0\u8005\u52df\u96c6\uff0f\u65e9\u7a32\u7530\u5927\u5b66\u5b66\u751f\u9650\u5b9a<\/strong><\/p>\n

\u958b\u50ac\u76ee\u7684\uff1a<\/strong>\u3000\u7570\u6587\u5316\u3084\u7570\u9818\u57df\u306e\u958b\u767a\u8005\u3068\u82f1\u8a9e\u3067\u8b70\u8ad6\u3057\u3001\u30c1\u30fc\u30e0\u3067\u6a5f\u68b0\u5b66\u7fd2\u3084\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u53d6\u308a\u7d44\u3080\u4f53\u9a13\u3092\u76ee\u7684\u3068\u3057\u3066\u3001\u30b9\u30de\u30fc\u30c8\u30a8\u30b9\u30a4\u30fc\u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u304a\u3051\u308b\u65b0\u8a2d\u79d1\u76ee\u300c\u30b0\u30ed\u30fc\u30d0\u30eb\u958b\u767a\u5b9f\u7fd2\u300d\u3078\u306e\u5f53\u8a72\u5206\u91ce\u7559\u5b66\u751f\u306e\u53c2\u52a0\u3092\u547c\u3073\u639b\u3051\u3001\u5b9f\u65bd\u3059\u308b\u3002<\/p>\n

\u30b9\u30de\u30fc\u30c8\u30a8\u30b9\u30a4\u30fc\u3067\u5b66\u3076\u6700\u5148\u7aef ICT \u95a2\u4fc2\u306e\u793e\u4f1a\u4eba\u3068\u4ea4\u6d41\u3057\u3001\u30b3\u30cd\u30af\u30b7\u30e7\u30f3\u3092\u6301\u3064\u826f\u3044\u30c1\u30e3\u30f3\u30b9\u3067\u3059\u3002<\/p>\n

\u5b9f\u65bd\u5185\u5bb9\uff1a<\/strong>\u3000 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3084\u904b\u7528\u306b\u304b\u304b\u308f\u308b\u4e0e\u3048\u3089\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u984c\u6750\u3068\u3057\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u9069\u7528\u7b49\u3092\u901a\u3058\u305f\u5206\u6790\u3084\u4e88\u6e2c\u306b\u30c1\u30fc\u30e0\u3067\u53d6\u308a\u7d44\u307f\u3001\u305d\u306e\u6210\u679c\u3092\u307e\u3068\u3081\u3066\u6700\u5f8c\u306b\u767a\u8868\u3059\u308b\u3002<\/p>\n

\u203b\u975e\u6b63\u898f\u79d1\u76ee\u3067\u3059\u3002<\/p>\n

\u65e5\u7a0b\uff1a<\/strong>\u30002019\u5e749\u670828\u65e5(\u571f)13:00-17:50\u300129\u65e5(\u65e5) 8:30-16:40-17:30<\/p>\n

\u5834\u6240\uff1a<\/strong>\u3000\u65e9\u7a32\u7530\u5927\u5b66\u30b0\u30ea\u30fc\u30f3\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u958b\u767a\u30bb\u30f3\u30bf\u30fc1F\u3000\u30a2\u30af\u30bb\u30b9<\/a><\/p>\n

\u8a73\u7d30\uff1a<\/strong><\/p>\n

\u4f7f\u7528\u8a00\u8a9e\uff1a<\/strong>\u3000\u82f1\u8a9e<\/p>\n

\u52df\u96c6\u4eba\u6570\uff08\u7559\u5b66\u751f\uff09\uff1a<\/strong>\u30004-7\u540d<\/p>\n

\u30b9\u30de\u30fc\u30c8\u30a8\u30b9\u30a4\u30fc\u793e\u4f1a\u4eba\u53d7\u8b1b\u751f\u306e\u53c2\u52a0\u4eba\u6570\uff1a<\/strong>\u30005-8\u540d<\/p>\n

\u52df\u96c6\u5bfe\u8c61\u3068\u306a\u308b\u7559\u5b66\u751f\uff1a<\/strong>\u3000\u4e0b\u8a18\u306e\u524d\u63d0\u6761\u4ef6\u3092\u6e80\u8db3\u3059\u308b\u65e9\u7a32\u7530\u5927\u5b66\u6240\u5c5e\u306e\u5927\u5b66\u9662\u751f\uff08\u304a\u3088\u3073\u5b66\u90e8\u5b66\u751f\uff09\u3002<\/p>\n

\u524d\u63d0\u6761\u4ef6\uff1a<\/strong>\u3000\u6a5f\u68b0\u5b66\u7fd2\u306e\u57fa\u790e\u3092\u5b66\u7fd2\u6e08\u307f\u3067\u3042\u308b\u3053\u3068<\/p>\n

\u4ea4\u901a\u8cbb\uff1a<\/strong>\u3000\u5b9f\u8cbb\u652f\u7d66\u3000\u203b\u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9\u306e\u5b66\u751f\u9650\u5b9a<\/p>\n

\u5bbf\u6cca\u8cbb\uff1a<\/strong>\u3000\u652f\u7d66\uff08\u4e0a\u96508\u5343\u5186\uff09\u3000\u203b\u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9\u306e\u5b66\u751f\u9650\u5b9a<\/p>\n

\u62c5\u5f53\u8b1b\u5e2b\uff1a<\/strong>\u3000\u9df2\u5d0e\u5f18\u5b9c\u3001\u5742\u672c\u4e00\u61b2\u3001\u6d25\u7530\u76f4\u5f66\uff08\u65e9\u7a32\u7530\u5927\u5b66\uff09\uff08\u4e88\u5b9a\uff09<\/p>\n

\u30b2\u30b9\u30c8\u8b1b\u5e2b\uff1a<\/strong>\u3000Prof. Yann-Ga\u00ebl Gu\u00e9h\u00e9neuc (Concordia University, Canada)\uff08\u4e88\u5b9a\uff09<\/p>\n

\u53c2\u52a0\u7533\u8fbc\u306f\u3053\u3061\u3089\u304b\u3089<\/strong><\/a><\/p>\n

\u203b\u7533\u8fbc\u7de0\u5207\uff1a2019\u5e748\u670820\u65e5(\u706b)<\/strong><\/p>\n

\u203b\u5fdc\u52df\u591a\u6570\u306e\u5834\u5408\u306f\u53d7\u8b1b\u3067\u304d\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3054\u4e86\u627f\u304f\u3060\u3055\u3044<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cGlobal development and cooperation project in data analytics\u201d Purpose of the project: The Purpose of this pro […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[24],"class_list":["post-458","post","type-post","status-publish","format-standard","hentry","category-news","tag-events"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/posts\/458","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/comments?post=458"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/posts\/458\/revisions"}],"predecessor-version":[{"id":459,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/posts\/458\/revisions\/459"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/media?parent=458"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/categories?post=458"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/smartse\/wp-json\/wp\/v2\/tags?post=458"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}