課程介紹
HR Analytics is designed to help students use data to improve people-related decisions. Students will build hands-on skills to analyze data in ways that complement the frameworks and intuitions they would normally use to guide HR management decisions. At a deeper level, students in any job, organization, or industry context will sharpen their ability to think critically through the lens of rigorous analytics.
教科書:
  • Isson J.P., & Harriott, J.S. (2016). People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent. New Jersey, NJ: John Wiley & Sons.
課程活動
期末報告40%:  針對教材中任一章節提出應用的提案,以PPT輔助進行10分鐘TED式口頭分享,10分鐘與老師及其他同學答辯。分數由每位同學與老師共同評分。報告前一天23:59,以組為單位上傳PPT至本學習平台作業區。

課堂參與 60%: 每周每組輪流導讀教材指定章節的重點,限時30分鐘簡報,20分鐘QA,分數由同學與老師共同決定。全班同學在上課前皆須預習該周指定的文章。若指定導讀者沒有準有備導讀,該課堂討論與參與成績以零分計。導讀者須在報告前一天晚上23:59以前,將導讀內容以PPT格式上傳至"作業區"。
 
註: 其他同學針對導讀的同學,並須提出至少1個問題,並進行導論。在下課前30分鐘,將問題與討論結論,上傳1張PPT Slide至作業區。

加分項: 課代因協助課務,學期總分加5分。經計算,若學期總分超過100分,以100分計算。
 
 
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