本課程目標是讓學生能夠了解大數據相關技術與議題，包含大數據計算環境建置、雲端計算架構與服務建置、大數據資料倉儲到資料分析技術。並透過社群計算與社群媒體分析方法，架構系列大數據應用實例探討、模擬並進行小組專題製作，藉以加強學生在大數據時代的實作能力，讓學生實際接觸大數據應用。
The purpose of this course is to enable students to understand large data-related technologies and topics, including large data computing environment construction, cloud computing architecture and service construction, and large data data transfer to data analysis technology. Through social computing and social media analysis methods, a series of large-data application examples are explored, simulated and group topics are produced through social computing and social media analysis methods, so as to enhance students' practical ability in the large-data era and allow students to actually contact large-data applications.
1. O'Neil, Cathy,Schutt, Rachel,Doing data science :Sebastopol, CAO'Reilly,2014.
2. Lam, Chuck.Hadoop in action /Greenwich, Conn. :Manning Publicationsc, 2011.
3. Capriolo, Edward.Rutherglen, Jason.Wampler, Dean.Programming Hive /1st ed.Sebastopol, CA :O'Reilly & Associates, 2012.
1. O'Neil, Cathy, Schutt, Rachel, Doing data science :Sebastopol, CAO'Reilly, 2014.
2. Lam, Chuck.Hadoop in action /Greenwich, Conn. :Manning Publicationsc, 2011.
3. Capriolo, Edward.Rutherglen, Jason.Wampler, Dean.Programming Hive /1st ed.Sebastopol, CA :O'Reilly & Associates, 2012.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時成績(出席、參與及作業)平時成績(出席、參與及作業) Regular achievements (attendance, participation and work) |
40 | |
| 期末論文報告/專題發表期末論文報告/專題發表 Final commentary report/project release |
60 |
