AI in Finance and Quantitative Analysis (MBA, IM, NTPU) (Fall 2023)
(MBA, IM, NTPU) (Global MBA in Finance) (3 Credits, Elective) (M5276)
(1121) [EMI] [Full English Course] (2023.09 - 2024.01)
(Tue, 2, 3, 4, 9:10-12:00)(B3F17)
* [AI in Finance and Quantitative Analysis] In-Person Instruction and Distance Learning.
Google Meet: https://meet.google.com/paj-zhhj-mya
Time: 9:10-12:00, Tuesday (September 11, 2023 - December 26, 2023)
Week Date Subject/Topics
1 2023/09/12 Introduction to Artificial Intelligence in Finance and Quantitative Analysis [ppt] [pdf]
2 2023/09/19 AI in FinTech: Metaverse, Web3, DeFi, NFT, Financial Services Innovation and Applications
3 2023/09/26 Investing Psychology and Behavioral Finance
4 2023/10/03 Event Studies in Finance
5 2023/10/10 National Day (Day off)
6 2023/10/17 Case Study on AI in Finance and Quantitative Analysis I
7 2023/10/24 Finance Theory and Data-Driven Finance
8 2023/10/31 Midterm Project Report
9 2023/11/07 Financial Econometrics
10 2023/11/14 AI-First Finance
11 2023/11/21 Industry Practices of AI in Finance and Quantitative Analysis
12 2023/11/28 Case Study on AI in Finance and Quantitative Analysis II
13 2023/12/05 Deep Learning in Finance; Reinforcement Learning in Finance
14 2023/12/12 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting
15 2023/12/19 Final Project Report I
16 2023/12/26 Final Project Report II
https://web.ntpu.edu.tw/~myday/teaching.htm#1121AIFQA
(MBA, IM, NTPU) (Global MBA in Finance) (3 Credits, Elective) (M5276)
(1121) [EMI] [Full English Course] (2023.09 - 2024.01)
(Tue, 2, 3, 4, 9:10-12:00)(B3F17)
* [AI in Finance and Quantitative Analysis] In-Person Instruction and Distance Learning.
Google Meet: https://meet.google.com/paj-zhhj-mya
Time: 9:10-12:00, Tuesday (September 11, 2023 - December 26, 2023)
Week Date Subject/Topics
1 2023/09/12 Introduction to Artificial Intelligence in Finance and Quantitative Analysis [ppt] [pdf]
2 2023/09/19 AI in FinTech: Metaverse, Web3, DeFi, NFT, Financial Services Innovation and Applications
3 2023/09/26 Investing Psychology and Behavioral Finance
4 2023/10/03 Event Studies in Finance
5 2023/10/10 National Day (Day off)
6 2023/10/17 Case Study on AI in Finance and Quantitative Analysis I
7 2023/10/24 Finance Theory and Data-Driven Finance
8 2023/10/31 Midterm Project Report
9 2023/11/07 Financial Econometrics
10 2023/11/14 AI-First Finance
11 2023/11/21 Industry Practices of AI in Finance and Quantitative Analysis
12 2023/11/28 Case Study on AI in Finance and Quantitative Analysis II
13 2023/12/05 Deep Learning in Finance; Reinforcement Learning in Finance
14 2023/12/12 Algorithmic Trading; Risk Management; Trading Bot and Event-Based Backtesting
15 2023/12/19 Final Project Report I
16 2023/12/26 Final Project Report II
https://web.ntpu.edu.tw/~myday/teaching.htm#1121AIFQA
- 教師: 戴敏育
授課教師:
Min-Yuh Day, Ph.D.
Associate Professor
Graduate Institute of Information Management
National Taipei University
New Taipei City, Taiwan
Office: B8F12
TEL: 886-2-86741111 ext. 66873
Email: myday@gm.ntpu.edu.tw