課程資訊
課程名稱
 大數據理論及實務應用
Big Data Applications and Theories 
開課學期
 106-2 
授課對象
 理學院  數學系  
授課教師
 林大溢 
課號
 MATH5037 
課程識別碼
 221 U6940 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期三2,3,4(9:10~12:10) 
上課地點
 天數102 
備註
 限本系所學生(含輔系、雙修生)
總人數上限：60人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1062MATH5037_ 
課程簡介影片
 
核心能力關聯
 本課程尚未建立核心能力關連
課程大綱
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課程概述

這個世紀, 當我們生活在大數據資料時代，身為台大學生當然需要且必要知道，不論文字、數字、照片、視訊、音訊、座標、時間、速度、網際網路、行動網路等交織成的數位大數據資料空間，我們可以做什麼？我們應該了解什麼？Big Data, Cybersecurity, and Fintech是我們這門大數據導論的入門介紹目標。  

課程目標
 修完此門課的同學將能夠：
1. 舉出真實世界中大數據的實例和描述大數據的三個關鍵資料來源
2. 運用Google big data tools 發現問題，找出可能的線索與預測
3. 解釋大數據的6V
4. 了解大數據分析的標準五步驟的使用方法
5. 辨別問題是大數據類型或不是？
6. 明瞭大數據計算機模型與程式語言架構：scalable big data analysis.
7. Cybersecurity的基本概念與生活領域涵蓋範疇
8. Fintech的基本概念與課題 
課程要求
 準時出席不缺課
完成指定閱讀
期中與期末上台報告

同學如果做不到, 請勿選此門課程 
預期每週課後學習時數
  
Office Hours
 另約時間 備註： 另約時間備註欄：前一週預約 Wednesday 12:30-13:20 
指定閱讀
 1. Did you know?: 25 facts about big data
2. What Launched the Big Data Era?
3. Applications: What Makes Big Data Valuable?
4. Saving Lives With Big Data
5. Using Big Data to Help Patients
6. Machine-Generated Data: It's Everywhere and There's a Lot!
7. Machine-Generated Data: Advantages
8. Big Data Generated By People: The Unstructured Challenge
9. Big Data Generated By People: How Is It Being Used?
10. Organization-Generated Data: Structured but often siloed
12. Organizaton-Generated Big Data: Benefits
13. Integrating Diverse Data
14. Characteristics of Big Data: Volume, Variety, Velocity, Value, Valence
15. Five P's of Data Science
16. Getting Value Out of Big Data
17. Building a Big Data Strategy
18. The Five P's of Data Science
19. Asking the Right Questions
20. Steps in the Data Science Process: Acquiring, Exploring, Preprocessing, Analysis, Communicating results, turning insights into action
21. What is a Distributed File System?
22. Scalable Computing Over the Internet
23. Programming Models for Big Data
24. Big data tools provided by Google
25. Cybersecurity : fundamentals and issues
26. Financial Technology : concept and issues 
參考書目
 待補 
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 期中簡報及上台報告 
35% 
 1.每位學生須email一份powerpoint 2.同學上台報告 
2. 
 期末簡報及上台報告 
45% 
 1.每位學生須email一份powerpoint 2.同學上台報告 
3. 
 期末報告及課堂表現 
20% 
 1.每位學生須email一份term report in word format 2.課堂提問及參與課程Facebook社群討論 
 
課程進度
週次
日期
單元主題
第1週
 2/28  228國定假日, 放假一天 
第2週
 3/07  Introduction to the course
Discussion: Why are you taking this class? your commitment needed?
 
第3週
 3/14  What launched the Big Data era?
What makes big data valuable?
Discussion: What application area interests you? Saving lives with Big Data
Using Big Data to Help Patients
Meltwater helping Danone
25 facts about big data
Discussion: What application area interests you? Saving lives with Big Data  
第4週
 3/21  Google tools for Big Data
What Launched the Big Data Era?
What Makes Big Data Valuable?
The Key: Integrating Diverse Data 
第5週
 3/28  Spring Break 
第6週
 4/04  Spring break 
第7週
 4/11  Where Does Big Data Come From?
Machine-Generated Data
Big Data Generated By People
Organization-Generated Data
Open Data by Gov and NPO
discussion: Who are you providing data to?  
第8週
 4/18  Characteristics Of Big Data
Characteristics of Big Data - Volume
Characteristics of Big Data - Variety
Characteristics of Big Data - Velocity
Characteristics of Big Data - Veracity
Characteristics of Big Data - Valence
The Sixth V: Value  
第9週
 4/25  Big Data and Cybersecurity  
第10週
 5/02  Mid-term presentation by students : propose your Big Data questions  
第11週
 5/09  Asking the Right Questions
Steps in the Data Science Process
Step 1: Acquiring Data
Step 2-A: Exploring Data
Step 2-B: Pre-Processing Data
Step 3: Analyzing Data
Step 4: Communicating Results
Step 5: Turning Insights into Action
Discussion: Building a Team 
第12週
 5/16  Getting Value out of Big Data
Building a Big Data Strategy
Five Components of Data Science
Discussion: Thinking more deeply about the Ps  
第13週
 5/23  Big Data and Financial Technology  
第14週
 5/30  Big Data cases study : Global Cybersecurity and Fintech 
第15週
 6/06  Big Data cases study : Cybersecurity and Fintech in Taiwan 
第16週
 6/13  term presentation by students : Answers to your Big Data questions 
第17週
 6/20  No class (Hand-out term report)