105年第2學期-5817 社群網路與大數據專題 課程資訊

評分方式

評分項目	配分比例	說明
平常成績	40
報告	60

教育目標

This course covers concepts and applications of social networks and big data. The fundamentals of social networks and big data are introduced, and case studies of related issues are provided. Literature of recent developments on theoretical, algorithmic and application aspects of big data in social networks will be read. Approaches for big data analytics, such as data processing and visualization and their relations with complex network analysis are studied. Also, R language is used for data analysis and visualization.

基本資料

選修課，學分數：0-3
上課時間：二/10,11,12[ST019]
修課班級：數創碩學程1,2
修課年級：年級以上
選課備註：開放全校碩博生加選

參考書目

1. Big Data Fundamentals Concepts, Drivers & Techniques
by Thomas Erl,Wajid Khattak,and Paul Buhler
Prentice Hall
2. R Programming for Data Science
by Roger D. Peng