佐治亞理工學(xué)院數(shù)據(jù)科學(xué)基金會(huì)主辦第一所暑期學(xué)校
2023-09-28 13:50:03 來源:中國(guó)教育在線
近年來,越來越多的中國(guó)學(xué)子選擇留學(xué),那其中佐治亞理工學(xué)院數(shù)據(jù)科學(xué)基金會(huì)主辦第一所暑期學(xué)校?本文則針對(duì)這個(gè)問題,為大家整理了資料,接下來咱們就一起往下了解吧。
The Foundation of Data Science Hosts First Summer School
數(shù)據(jù)科學(xué)基金會(huì)主辦第一所暑期學(xué)校
Sep 12 2019
2019年9月12日
Forty advanced graduate students and post-doctoral researchers from across the country gathered on August 5th at the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) to participate in the first Foundation of Data Science Summer School hosted by Georgia Tech.
來自全國(guó)各地的四十名高級(jí)研究生和博士后研究人員于8月5日在H.密爾頓斯圖爾特工業(yè)與系統(tǒng)工程學(xué)院(ISYE)集合,參加佐治亞理工學(xué)院主持的數(shù)據(jù)科學(xué)暑期學(xué)校的第一個(gè)基礎(chǔ)。
The four-day program was organized by A. Russell Chandler III Professor and Director of Georgia Tech’s Transdisciplinary Research Institute for Advancing Data Science (TRIAD) Xiaoming Huo and Harold R. and Mary Anne Nash Early Career Professor and Assistant Professor Yao Xie. Participants were introduced to a theoretical foundation of data science with a selection of application topics. The emphasis was on the foundational concepts of statistics, optimization, and signal processing, and on the applications of these techniques in developing cross-disciplinary research.
這項(xiàng)為期四天的計(jì)劃由羅素·錢德勒三世教授和佐治亞理工大學(xué)推進(jìn)數(shù)據(jù)科學(xué)跨學(xué)科研究所(三合會(huì))、小明霍和Harold R.、Mary Anne Nash早期職業(yè)教授和Yao Xie教授助理組成。參與者被介紹到一個(gè)數(shù)據(jù)科學(xué)的理論基礎(chǔ)和一系列應(yīng)用主題。重點(diǎn)是統(tǒng)計(jì)、優(yōu)化和信號(hào)處理的基本概念,以及這些技術(shù)在跨學(xué)科研究中的應(yīng)用。
“The participating students were exposed to a set of mathematical tools that can potentially be used to derive the fundamental bounds on the performance of various techniques that have been widely adopted in data science,” explained Huo. “While there are many online and physical events (such as bootcamps and summer schools) across the nation that teach data science tools, a summer school that emphasizes the mathematical tools and foundation of data science technique is rare. Therefore, this summer school is unique.”
“參與研究的學(xué)生接觸了一套數(shù)學(xué)工具,這些工具有可能被用來推導(dǎo)數(shù)據(jù)科學(xué)中廣泛采用的各種技術(shù)性能的基本界限,”霍教授解釋說。雖然全國(guó)各地有許多在線和物理活動(dòng)(如自助夏令營(yíng)和暑期學(xué)校)教數(shù)據(jù)科學(xué)工具,但是一個(gè)強(qiáng)調(diào)數(shù)學(xué)工具和數(shù)據(jù)科學(xué)技術(shù)基礎(chǔ)的暑期學(xué)校很少。因此,這所暑期學(xué)校是獨(dú)一無二的?!?/p>
The program was sponsored by TRIAD and the National Science Foundation and featured talks from a wide variety of Georgia Tech faculty including Polo Chau, an associate professor in the School of Computational Science and Engineering, Mark Davenport, an associate professor in the School of Electrical and Computer Engineering, Vladimir Koltchinskii, a professor in the School of Mathematics, and Arkadi Nemirovski, John Hunter Chair and professor in ISyE, in addition to Huo and Xie. Huan Yan (Ph.D. 14), a data scientist at Wells Fargo, brought additional industry perspective to the class.
該計(jì)劃是由三合一和國(guó)家科學(xué)基金會(huì)贊助的,并由包括喬治亞理工學(xué)院在內(nèi)的各種各樣的教師進(jìn)行專題講座,其中包括Polo Chu,計(jì)算科學(xué)與工程學(xué)院的副教授,Mark Davenport,電氣與計(jì)算機(jī)工程學(xué)院副教授,Vladimir Koltchinskii,數(shù)學(xué)學(xué)院教授,阿卡迪·尼米洛夫斯基,約翰·亨特教授,伊斯耶教授,還有霍和謝。富國(guó)銀行(Wells Fargo)數(shù)據(jù)科學(xué)家黃巖(音譯)博士(Ph.D.14)為本課程帶來了更多的行業(yè)視角。
“Based on the feedback from the participants, most of them appreciate the fact that this summer school emphasizes the theoretical aspect of the data science,” said Huo. “They enjoyed the open and interactive atmosphere. Some believe that they are likely to use the ideas that they learned or developed during this summer school in their future work.”
“根據(jù)參與者的反饋,他們中的大多數(shù)人意識(shí)到這個(gè)暑期學(xué)校強(qiáng)調(diào)數(shù)據(jù)科學(xué)的理論方面,”霍說?!八麄兿矚g開放和互動(dòng)的氛圍。一些人認(rèn)為,他們很可能會(huì)利用他們?cè)谑钇趯W(xué)校在未來的工作中學(xué)習(xí)或開發(fā)的想法。
The organizers are likely to continue organizing this type of summer school in 2020. They plan to incorporate more contents, which were recommended by this year’s participants.
主辦單位很可能在2020年繼續(xù)舉辦這類暑期學(xué)校。他們計(jì)劃納入更多的內(nèi)容,這些內(nèi)容是今年參與者推薦的。
About TRIAD
關(guān)于三合會(huì)
TRIAD is a cross-disciplinary institute that was established in 2017 as part of the National Science Foundation’s TRIPODS (Transdisciplinary Research in Principles of Data Science) program. TRIAD unites statistics, mathematics, and theoretical computer science to further develop the foundations of data science. TRIAD brings together senior, mid-career, and junior faculty members, postdoctoral fellows, graduate and undergraduate students, all from Tech’s colleges of Computing, Engineering, and Sciences, and data science practitioners-at-large using focused working groups, national and international workshops, and organized innovation labs.
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