國立中興大學教學大綱
課程名稱 (中) 智慧科技管理(7659)
(Eng.) Intelligent Technology Management
開課單位 EMBA
課程類別 選修 學分 3 授課教師 沈培輝
選課單位 EMBA / 碩專班 授課使用語言 中/英文 英文/EMI 開課學期 1132
課程簡述 ==== You better print this course outline and read it carefully before you add it! ====

==== If you have any doubt to complete the requirements of this course, DON'T ADD! ====

This course intends to give introductory level knowledge in (1) the usages of a few popular intelligent products and services; (2) the essential concepts behind intelligent technology; (3) fundamental concepts for intelligent product/service development; and (4) the personal/business/industrial applications of intelligent technology.

In sequel, this covers a broad range of topics. They include (1) the evolution of technology starting from the 17 century; (2) the evolution of intelligent technology starting from the 1930s; (3) the current intelligent technologies and the related products (resp. services); (4) the evolution of information and communication technologies; (5) the applications of intelligent technologies in the industry; (6) the essential concepts in intelligent technology; (7) fundamental concepts in intelligent technology (resp. product or service) development; and (8) selected advanced topics in intelligent technology management.

****** IMPORTANT NOTES ******
(a) There are projects and assignments to be completed by students. Term project is mandatory. Each student has to complete a term project individually. Assignments will be given every two or three weeks. Assignment submissions are not mandatory. Scores obtained from assignments are bonuses. They are marked up top of your project score.

(b) AI tools, like ChatGPT or Google Bard, are allowed to be used in completion of your project and assignments. However, students have to assure that the contents generated by the tools are correct. Nevertheless, each student has to be so sure that he/she understands all words being generated, especially those technical terms.

(c) Use of any AI tool for paraphrasing is highly recommended.

(d) Students should bring with their paper notebooks to take notes during the lectures.

(e) Code of conducts for this class will be emphasized in the first lecture.

(f) Please do not add this course if (1) you do not know how much effort to be put in completing the project and/or the assignments; (2) you have already planned to skip class during the semester; or (3) you do not want to share any of your experience or knowledge in the class.

(g) iLearning platform is not used for posting teaching materials. All teaching materials are post on the course homepage (https://john.digi-pack.io/IT/ITM2024_Spring.html).
先修課程名稱
課程含自主學習 N
課程與核心能力關聯配比(%) 課程目標之教學方法與評量方法
課程目標 核心能力 配比(%) 教學方法 評量方法
Once a student has completed the course, the student should be able to (1) manage to the use of intelligent technology (resp. product or service), with 'access right' for his/her work; (2) manage to the development of new intelligent technology (resp. product or service) for use; and (3) manage to monitor the 'access right' of the new technology (resp. product or service) being developed.
習作
其他
討論
講授
其他
書面報告
口頭報告
授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週)
週次 授課內容
第1週 (February 23, 2024)

Introducing intelligent technology (resp. AI and machine learning) and its differences with smart technology.
- Question: Are you intelligent?
- Question: What is intelligent technology?
- Question: What is smart technology?
- Question: What are the similarities and differences among AI, intelligent technology and machine learning?
第2週 (March 1, 2024)

Introducing intelligent technology management.
- Question: What is intelligent technology management?
- Question: What is technology management?
- Question: What is operation management?
- Question: What is management?
第3週 (March 8, 2024)

Learning representation (XYZ-to-Text).
- Text-to-Text.
- Image-to-Text.
- Sound-to-Text.
- Video-to-Text.

Introducing generative AI (Text-to-XYZ).
- Text-to-Text.
- Text-to-Image.
- Text-to-Sound.
- Text-to-Video.

Questions.
- Who is going to design the ’text input’?
- Is your ’text input’ precise enough?
- Is your Chinese good enough?
第4週 (March 15, 2024)

Introducing generative AI (Text-to-XYZ).
- Text-to-Text.
- Text-to-Image.
- Text-to-Sound.
- Text-to-Video.

Questions.
- Without Internet access, are you able to use those tools?
- Could you validate if an outcome being generated is correct?
- Could you identify if an image is generated by an AI tool or a human?
第5週 (March 22, 2024)

Technology for information and intelligent infrastructure.
- Evolution of technology.
- Evolution of telecommunication technology.
- Evolution of information technology.
- Evolution of intelligent technology.

Questions.
- What is the impact of steam engine to the industry?
- What is the impact of electricity to the society?
- What are the differences between direct current (DC) and alternating current (AC)?
第6週 (March 29, 2024)

Technology for information and intelligent infrastructure.
- Evolution of technology.
- Evolution of telecommunication technology.
- Evolution of information technology.
- Evolution of intelligent technology.

Questions.
- Four hundreds years ago, would there be any information system in the world?
- Four hundreds years ago, would there be any telecommunication network in the world?
- What are the impact of Cloud technology and GPU to the advancement of AI?
- What does XPU stand for?
第7週 (April 5, 2024: Holiday)

Essential concepts of intelligent technology.
- AI models: Artificial models and nature-inspired models.
- CNN: A biological neuronal network-inspired AI model.
- AlphaGO: An artificial AI model.
- Transformer: An artificial AI model.
- Model building: A parametric estimation problem.
- ’Learning’ (equivalently, training) is in essence a process of model building.

Questions.
- What is ’intelligence’?
- What is ’artificial intelligence’?
第8週 (April 12, 2024)

Essential concepts of intelligent technology.
- AI models: Artificial models and nature-inspired models.
- CNN: A biological neuronal network inspired AI model.
- AlphaGO: An artificial AI model.
- Model building: A parametric estimation problem.
- ’Learning’ (equivalently, training) is in essence a process of model building.

Question.
- Is ’generative AI model’ an artificial model or a nature-inspired model?
第9週 (April 19, 2024)

Mid-Term project progress report.
第10週 (April 26, 2024)

Intelligent technology development.
- Foundational AI model development.
- Application system development.
- Information infrastructure development.
- Intelligent infrastructure development.
- Edge AI development.
第11週 (May 3, 2024)

Applications of intelligent technology in finance.
- Customer segmentation.
- Credit scoring.
- Bankruptcy prediction.
- Stock price prediction.
- Investment portfolio management.

Questions.
- Is AI the only method for solving these problems?
- Are those AI tools for solving these problems are intelligent?
第12週 (May 10, 2024)

Applications of intelligent technology in manufacturing.
- Operations design and operations management.
- Scheduling and planning.
- Quality control.
- Manufacturing execution systems.
- Digital twin.

Questions.
- Is AI able to design a new product?
- Is AI able to design a production process?
- Is AI able to design quality factors?
- Is AI able to design a facility plan?
第13週 (May 17, 2024)

Applications of intelligent technology in manufacturing.
- Operations design and operations management.
- Scheduling and planning.
- Quality control.
- Manufacturing execution systems.
- Digital twin.

Question.
- Is AI able to design a production schedule?
第14週 (May 24, 2024)

Applications of intelligent technology in manufacturing.
- Operations design and operations management.
- Scheduling and planning.
- Quality control.
- Manufacturing execution systems.
- Digital twin.

Questions.
- Is AI able to solve cost reduction?
- What is the difference between ’able to solve’ and ’able to facilitate solving’?
第15週 (May 31, 2024)

Additional topics in intelligent technology management.
- Fuzzy systems, neural networks, genetic algorithms.
- Computational neuroscience.
- Intelligent technology research.
第16週 (June 7, 2024)

Additional topics in intelligent technology management.
- AI ethic and AI safety.
- Generative AI, fake images and fake videos.
- Impact of sustainable development goals (SDGs) in intelligent technology development.
第17週 (June 14, 2024)

Final project presentation.
第18週 (June 21, 2024)

Final project presentation.
學習評量方式
1. Term project (individual)
1.1 - Mid-Term progress report: Written report [20%] and oral presentation [20%].
1.2 - Final report: Written report [30%] and oral presentation [30%].

2. Assignments (individual)
- The scores obtained from assignments are bonus to be marked up on top of your project score.

3. Other bonus (to be announced in the class).

4. Your final score = MAX(100, Project Score + Bonus).
教科書＆參考書目(書名、作者、書局、代理商、說明)
1. Lecture notes on the course homepage.
2. Handouts to be distributed in the class.
3. Notes on the white board (handwritten by Professor John Sum during a lecture).
4. Videos on YouTube.
5. Selected articles from magazines, journals and forums.
課程教材（教師個人網址請列在本校內之網址）
https://john.digi-pack.io/IT/ITM2024_Spring.html
課程輔導時間
By appointment.
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更新日期 西元年/月/日：無 列印日期 西元年/月/日：2025 / 3 / 14
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