NCHU Course Outline
Course Name (中) 科技創新管理研討(8162)
(Eng.) Special Topics in Technology Management
Offering Dept Graduate Institute of Technology Management
Course Type Elective Credits 3 Teacher 張樹之
Department Graduate Institute of Technology ManagementPh.D Language English Semester 2025-SPRING
Course Description *Chinese teaching videos covering major class materials and teaching contents will be provided on the iLearning platform to assist and enhance the learning effect of English teaching.

This course provides doctoral students with interdisciplinary background and theoretical depth in the emerging discipline of technology management, focusing on the business applications and challenges of technological innovation and innovative technologies in the digital economy. The course is fundamentally interdisciplinary and inevitably draws on emerging knowledge and experience in economics, information technology, technology management and business administration. From the perspective of emerging technologies and business management, lecture contents of this course may cover important topics such as financial technology, business services, online investing, and artificial intelligence. In addition, we will discuss with the whole class and select important and influential emerging technology topics covered by this course. Through careful and focused study of emerging technology management and practice, students will further strengthen their knowledge and skills for subsequent practical applications and academic research.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
This course is designed to help PhD students learn emerging technology topics by covering selected (1) emerging technology topics (such as artificial intelligence, AI), (2) business application areas (such as stock investment), and (3) stock investment experiments (such as the online simulation game for stock trading). After students study, experiment, comprehend and complete planned course materials in a fun and easy way, they will become skillful and knowledgeable about emerging technology topics (such as AI) and develop their best practices to harvest the benefits of emerging technology applications.
topic Discussion/Production
Discussion
Lecturing
Exercises
Written Presentation
Attendance
Oral Presentation
Other
Internship
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 (*This is a tentative draft of the course content: it may be fine-tuned in the future.）
1) Introduction (Emerging Technology and Technology Management)
2) Course Syllabus
3) Emerging Technology: (1) FinTech, (2) Big Data, (3) Artificial Intelligence, (4) ChatBot for Stock Investment
Week 2 1. AI: Fundamental of Artificial Intelligence
2. Investing: Chapter 1 (The Investment Environment)
Week 3 1. AI: Introduction to GPT, ChatGPT, Google Bard, Bing AI, and more
2. Investing: Chapter 2 (Financial Market and Transactions)
Week 4 1. AI: (1) ChatGPT 3.5 and ChatGPT 4; (2) ChatGPT Tutorial; (3) Learn from Geek
2. Investing: Chapter 3 (Investment Information and Securities Transactions)
Week 5 1. AI: The use of ChatGPT 3.5 and ChatGPT 4; How to use ChatGPT? Setting up ChatGPT account, and more
2. Investing: Chapter 4 (Return and Risk)
Week 6 1. AI: The use of Microsoft Bing with ChatGPT 4 for free
2. Investing: Chapter 5 (Portfolio Management)
Week 7 4/1: Spring Break (No classes today, Compensatory leave for NCHU anniversary and sports games)
Week 8 1. AI: The use of ChatGPT for stock investing
2. Investing: Chapter 6 (Common Stock - Stocks and Stock Market)
Week 9 1. AI: Analyzing stocks by using ChatGPT
2. Investing: Chapter 7 (Analyzing Common Stocks)
Week 10 1. AI: The use of ChatGPT for stock selection and valuation
2. Investing: Chapter 8 (Stock Valuation)
Week 11 1. AI: The use of ChatGPT for technical analysis
2. Investing: Chapter 9 (Technical Analysis, Market Efficiency, and Behavioral Finance)
Week 12 1. AI: Developing the better methods/procedures to use ChatGPT for stock trading (1)
2. Investing: Chapter S1 (Technical Analysis - Moving Average, K-Line, Trend Line, Pattern Analysis, The Dow Theory and more)
Week 13 1. AI: Developing better methods/procedures to use ChatGPT for stock trading (2)
2. Investing: Chapter S2 (Technical Analysis - The Elliott Wave Theory, Recap of Technical Analysis, Stock Ratios and Indicators, and more)
Week 14 1. AI: Developing my own methods/procedures to use ChatGPT for stock trading
2. Investing: Chapter S3 (Technical Analysis - Volume Analysis, Price-Volume Relationship in Stock Analysis, Trading Rules, Empirical Study, and more)
Week 15 1. AI: Advancing my ChatGPT based methods/procedures for stock trading
2. Investing: Developing my methods/procedures to use ChatGPT for stock trading
Week 16 Final Review
Week 17 Wall Street Movie: The Big Short (Self-directed learning by watching English movie)
Week 18 Recent Updates to AI Tools: ChatGPT 4, ChatGPT 5, Bard, and more (Self-directed learning through designated course materials)
Evaluation
1 Class Participation 10%
2 Quizzes and/or Course Projects 40%
3 Stock Trading Experiment Results 50%
Textbook & other References
Textbooks
1. Due to the rapid development and changes in emerging technologies and international markets, there is no textbook for this Special Topics in Technology Management course. Instead, the class will construct its own textbook through a combination of assigned readings, lecture topics, web resources, academic articles and topic discussions.
2. Additional materials will be announced in class and iLearning platform.

References
Based on the topics chosen in the course, we will fill in and update corresponding reference bibliographies to construct the textbook with teaching materials. As an example of the topic “stock investment and AI”, the following is a series of reference books and journal articles we will use:
1.Smart, S.B., and Zutter, C.J. (2020), Fundamentals of Investing 14/e (Global Edition), ISBN: 9781292316970, Pearson. (General Agent: Yeh Yeh Book Gallery). http://www.yehyeh.com.tw/bookeng.aspx?mode=dbview&sysid=00107412
2.Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo and potential future development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122-1136.
3.Ozdemir, S. (2023). Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs. Addison-Wesley Professional.
4.Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62.
5.Various online resources about ChatGPT 3.5 and ChatGPT 4, such as the learning guides available at https://www.geeksforgeeks.org/what-is-chatgpt/
6.Other materials to be determined in class.
Teaching Aids & Teacher's Website
The NCHU iLearning platform
Office Hours
17:00~17:50, after class on Tuesday; or by appointment.
Sustainable Development Goals, SDGs
09.Industry, Innovation and Infrastructureinclude experience courses：N
Please respect the intellectual property rights and use the materials legally.Please repsect gender equality.
Update Date, year/month/day：2025/01/16 19:00:28 Printed Date, year/month/day：2025 / 1 / 22
The second-hand book website：http://www.myub.com.tw/