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 goal of this course is to enable students to understand big data related technologies and issues, including big data computing environment construction, cloud computing architecture and service construction, big data data warehousing and data analysis technology. Through social computing and social media analysis methods, a series of big data application examples are constructed to discuss, simulate and produce group projects, so as to strengthen students' practical ability in the big data era and allow students to have practical exposure to big 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 Publications, 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) Daily results (attendance, participation and homework) |
40 | |
| 期末論文報告/專題發表期末論文報告/專題發表 Final thesis report/topic presentation |
60 |
