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- 留學(xué)熱線:4000-315-285
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開始日期:
2023年6月10日
專業(yè)方向:
金融商科
導(dǎo)師:
R.C.(埃默里大學(xué) Emory University 終身教授)
課程周期:
7周在線小組科研+5周論文指導(dǎo)
語(yǔ)言:
英文
建議學(xué)生年級(jí):
大學(xué)生
項(xiàng)目產(chǎn)出:
7周在線小組科研學(xué)習(xí)+5周論文指導(dǎo)學(xué)習(xí) 學(xué)術(shù)報(bào)告 EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)(共同一作) 結(jié)業(yè)證書 成績(jī)單
項(xiàng)目介紹:
企業(yè)如何在運(yùn)營(yíng)上具有競(jìng)爭(zhēng)力? 有些公司通過(guò)用穩(wěn)定的產(chǎn)品創(chuàng)新產(chǎn)品或者更快更便宜的服務(wù)使得消費(fèi)者滿意。這通常是操作運(yùn)營(yíng)策略的結(jié)果。數(shù)字化轉(zhuǎn)型推動(dòng)了運(yùn)營(yíng)的精準(zhǔn)化和數(shù)字化。在數(shù)字化技術(shù)推動(dòng)下,生產(chǎn)要素更加精細(xì),運(yùn)營(yíng)流程、匹配更加準(zhǔn)確、恰當(dāng),從而產(chǎn)生新的商業(yè)范式。我們會(huì)學(xué)習(xí)數(shù)字化是如何顛覆公司的物流/供應(yīng)鏈流程。本課程會(huì)探討運(yùn)營(yíng)如何創(chuàng)造和維持競(jìng)爭(zhēng)優(yōu)勢(shì),數(shù)據(jù)驅(qū)動(dòng)的技術(shù)框架,因果推斷、實(shí)驗(yàn)、機(jī)器學(xué)習(xí)等方法,和如何利用數(shù)據(jù)驅(qū)動(dòng)供應(yīng)鏈運(yùn)營(yíng)決策與應(yīng)用。 Digital models transform the rules of operations: supply and demand data are broken down into finer levels and data-driven decisions are able to match supply and demand more efficiently and accurately. In this course, we will learn how digitization reshapes companies in how they operate and compete in new ways. An important goal of this course is to learn data-driven techniques, including causation, field experiment, machine learning, and how to use these techniques to support operations decisions.