查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

112-2 330844 金融科技 1 3.0 3 ▲ 王貞淑
吳建文
翁頌舜雙聯EMBA 12 0 碩一必修，翁-3.30-31, 王-4.13-14, 吳-6.22-23

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-2	330844	金融科技	1	3.0	3	▲	王貞淑吳建文翁頌舜	雙聯EMBA	12	0	碩一必修，翁-3.30-31, 王-4.13-14, 吳-6.22-23

教學大綱與進度：

教師姓名王貞淑　教師諮商時間(Office Hours)

Email wangcs@ntut.edu.tw

最後更新時間 2023-12-25 17:08:37

課程大綱金融科技是近年來新興的產業趨勢，影響的層面非常廣泛，不只是金融方面，更牽涉到新興科技與物聯網。本課程將從不同的角度分析金融科技的技術內容、應用領域及商業模式，並藉由國內外重要金融科技公司發展的經驗做一介紹，希望達到了解並運用此新興科技的目的。本課程內容包括:金融科技概論、金融科技商業模式、金融大數據、P2P 借貸、虛擬貨幣、雲端服務、第三方支付、群眾募資、區塊鏈、跨境電商、程式交易、機器人理財等主題。 FinTech includes two words: Finance and Technology. It is a new trend of industrial field. It has influences on lots of technical fields, not only finance, but also emerging technologies and IoT. This course will analyze FinTech from different angles, such as technology contents, application fields and business models. It also will utilize experiences of leading companies with FinTech to obtain decent knowledge of this new field. The contents of this course include introduction to financial technology, business models of financial technology, finance big data, P2P lending, virtual money, cloud services, third-party payment, crowd funding, blockchain, cross-border e-commerce, program trading, and robotic financial advisory etc.

課程進度 Topic: Topic 1: Data analytics of financial data - Introduction of financial Data analytics and Fintech - Data Analysis, KDD、SEMMA、CRISP-DM - 6 steps of Google data analytics - AI canvas Topic 2: Financial data analytics with open source - Weka Package (http://www.cs.waikato.ac.nz/ml/weka/) - Rapid Miner (https://rapidminer.com/products/studio/) Topic 3: Financial data analysis project - UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets.html) - Kaggle

評量方式與標準 Grade: - Assignment (Weka, Rapid Miner) 30% - Financial Data analytics Project 70%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：否
rapidminer

課程諮詢管道 wangcs@ntut.edu.tw

課程對應SDGs指標

備註

教師姓名	王貞淑　教師諮商時間(Office Hours)
Email	wangcs@ntut.edu.tw
最後更新時間	2023-12-25 17:08:37
課程大綱	金融科技是近年來新興的產業趨勢，影響的層面非常廣泛，不只是金融方面，更牽涉到新興科技與物聯網。本課程將從不同的角度分析金融科技的技術內容、應用領域及商業模式，並藉由國內外重要金融科技公司發展的經驗做一介紹，希望達到了解並運用此新興科技的目的。本課程內容包括:金融科技概論、金融科技商業模式、金融大數據、P2P 借貸、虛擬貨幣、雲端服務、第三方支付、群眾募資、區塊鏈、跨境電商、程式交易、機器人理財等主題。 FinTech includes two words: Finance and Technology. It is a new trend of industrial field. It has influences on lots of technical fields, not only finance, but also emerging technologies and IoT. This course will analyze FinTech from different angles, such as technology contents, application fields and business models. It also will utilize experiences of leading companies with FinTech to obtain decent knowledge of this new field. The contents of this course include introduction to financial technology, business models of financial technology, finance big data, P2P lending, virtual money, cloud services, third-party payment, crowd funding, blockchain, cross-border e-commerce, program trading, and robotic financial advisory etc.
課程進度	Topic: Topic 1: Data analytics of financial data - Introduction of financial Data analytics and Fintech - Data Analysis, KDD、SEMMA、CRISP-DM - 6 steps of Google data analytics - AI canvas Topic 2: Financial data analytics with open source - Weka Package (http://www.cs.waikato.ac.nz/ml/weka/) - Rapid Miner (https://rapidminer.com/products/studio/) Topic 3: Financial data analysis project - UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets.html) - Kaggle
評量方式與標準	Grade: - Assignment (Weka, Rapid Miner) 30% - Financial Data analytics Project 70%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：否 rapidminer
課程諮詢管道	wangcs@ntut.edu.tw
課程對應SDGs指標
備註