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
 107-2 
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/1072MATH5037_ 
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
為確保您我的權利,請尊重智慧財產權及不得非法影印
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
  
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
  
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
 2019/02/20  "Introduction to the course
Discussion: Why are you taking this class? your commitment needed?" 
第2週
 2019/02/27  "What launched the Big Data era?
What makes big data valuable?
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3週
 2019/03/06  "Google tools for Big Data
What Launched the Big Data Era?
What Makes Big Data Valuable?
The Key: Integrating Diverse Data" 
第4週
 2019/03/13  "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5週
 2019/03/20  "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6週
 2019/03/27  Big Data and Cybersecurity 
第7週
 2019/04/03  Spring Break 
第8週
 2019/04/10  Mid-term presentation by students : propose your Big Data questions(1/2) 
第9週
 2019/04/17  Mid-term presentation by students : propose your Big Data questions(2/2) 
第10週
 2019/04/24  "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11週
 2019/5/1  "Getting Value out of Big Data
Building a Big Data Strategy
Five Components of Data Science
Discussion: Thinking more deeply about the Ps" 
第12週
 2019/05/08  Big Data and Financial Technology 
第13週
 2019/05/15  Big Data cases study : Global Cybersecurity and Fintech 
第14週
 2019/05/22  Big Data cases study : Cybersecurity and Fintech in Taiwan 
第15週
 2019/05/29  term presentation by students : Answers to your Big Data questions (1/2) 
第16週
 2019/06/05  term presentation by students : Answers to your Big Data questions (2/2) 
第17週
 2019/6/12  TERM BREAK