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課程名稱 |
產業中的數學模型及其研究方向
Models and Applications of Mathematics in Business and Industries |
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開課學期 |
104-2 |
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授課對象 |
理學院 數學系 |
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授課教師 |
林大溢 |
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課號 |
MATH5802 |
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課程識別碼 |
221 U5640 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
新301 |
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備註 |
總人數上限：60人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1042MATH5802_ |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Section I : Tools and Examples in Big Data and Search
1.Search tools
2.Search tool applications
3.Big Data know how
4.Big Data application examples worldwide
5.Big Data in Government Open Data
Section II: Public Private Partnership
1.Introduction to Public Private Partnership
2.Introduction to BOT/OT/ROT/BOO Models
3.Case study on BOT/OT/ROT/BOO projects
4.Point out the risk and entry barrier of BOT/OT/ROT/BOO projects
5.Learn how to evaluate BOT/OT/ROT/BOO projects
6.Learn how to present a initiative BOT/OT/ROT/BOO projects
7.Learn how to compare BOT/OT/ROT/BOO projects |
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課程目標 |
To introduce students to industrial applications of mathematics, learn how to use the following mathematical tools:
1.Calculus
2.Statistics
3.Matrix
4.Linear Programming |
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課程要求 |
1 上台報告 : 期中、期末各一次，power point file format
2 期末報告 : 期末繳交 Word file format
3 課堂參與 : 課堂提問、討論參與 |
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： 每週三中午12:10~13:00 採預約制 |
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指定閱讀 |
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參考書目 |
1. PPP reports from Europe Investment Bank
2. Developing a best practice framework for implementing public private partnerships (PPP) in Hong Kong
3. Big Data and Transportation understanding and assessing options
4. How Big Data Has Changed Insurance
5. Big Data Challenges and Opportunities for Energy Industry
6. 促進民間參與污水下水道建設(BOT)對地方政府財政影響研究
7. 台灣的ETC及高鐵案個案研究
8. 國立大學BOT財務評估
9. 台灣地區高速公路服務區規劃與經營管理之研究
10. Public-Private Partnerships IMF 2006
11. THE BASIC PUBLIC FINANCE OF PUBLIC-PRIVATE PARTNERSHIPS 2008
12. Analysis of political risks and opportunities in public private partnerships (PPP) in China and selected Asian countries: survey results
13. Developing a risk assessment model for PPP projects in China
14. Public-Private Partnerships in Europe-before and during the financial crisis
15. PFI/PPP, private sector perspectives of UK Transport & Healthcare
16. PPP EQUITY DATABASE
17.Big Data and Analytics for National Security
18.The Coming Big Data Tsunami in Energy Market Analytics
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
課堂參與討論 |
30% |
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2. |
期中上台報告 |
30% |
prepare PPT and give a oral presentation |
3. |
期末上台報告 |
40% |
1.prepare PPT and give a oral presentation 2.a DOC format term report |
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週次 |
日期 |
單元主題 |
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第1週 |
2/24 |
1.course briefing 2.Q and A |
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第2週 |
3/02 |
1.What happens in the real world? 2.Search Tools and Search Tools' applications 3.Mathematics behind the search tools |
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第3週 |
3/09 |
1.What is Big Data? 2.How and Why? 3.Internet and Government |
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第4週 |
3/16 |
Application of Big Data in industries |
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第5週 |
3/23 |
Application of Big Data in industries and introduction to PPP |
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第6週 |
3/30 |
Application of Big Data in industries and PPP |
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第7週 |
4/06 |
1.Application of Big Data and Open Data 2.Cases of PPP |
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第8週 |
4/13 |
PPP and Big Data applied on Google Earth |
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第9週 |
4/20 |
Mid-term report 上台報告 |
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第10週 |
4/27 |
PPP case study: EU and China |
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第11週 |
5/04 |
自主學習週 （不上課） |
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第12週 |
5/11 |
Big Data Challenges |
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第13週 |
5/18 |
PPP case study: Taiwan |
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第14週 |
5/25 |
Guest speaker |
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第15週 |
6/01 |
PPP case study: UK |
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第16週 |
6/08 |
PPP case study: other countries |
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第17週 |
6/15 |
Term-report 上台報告 |