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課程名稱 |
科技管理
Management of Science and Technology |
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開課學期 |
108-1 |
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授課對象 |
管理學院 企業管理組 |
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授課教師 |
江炯聰 |
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課號 |
BA3003 |
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課程識別碼 |
701 33600 |
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班次 |
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學分 |
3.0 |
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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 |
星期二7,8,9(14:20~17:20) |
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上課地點 |
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備註 |
上課教室：管二303教室。
限本系所學生(含輔系、雙修生) 且 限學士班四年級以上
總人數上限：50人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1081BA3003_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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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 |
This course covers three main themes.
Part 1. Innovation and Entrepreneurship
1) Product and Process Innovations
2) Technological Change and Industrial Revolutions
3) Business Models and Profitability
4) Digital Impact and Transformation
5) Venture Capital, Incubation and Clustering
Part 2. Networks and Platform Business
6) + Internet and Internet +
7) Network Effects and Winner Take All or Most
8) Mobility and Cloud
9) Strategy and Business Models of Innovation, Transaction and Hybrid
10) Sharing Economy
Part 3. Artificial Intelligence and Transformation
11) Big Data and Machine Learning
12) Prediction and Decision Making
13) Strategy and Business Models
14) AI + Marketing
15) AI + Finance |
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課程目標 |
This course is primarily designed for the needs of business and engineering students in the strategic management of technological innovation. It seeks to integrate a wide body of managerial approach to coping with the vast challenges and opportunities provided by current technological innovations. |
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課程要求 |
Student evaluation is mainly based on
1) mid-term in-class open-anything exam
2) group final report |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Schilling, M. (2020), Strategic Management of Technological Innovation (6e), McGraw-Hill.
Cusumano, M. et al. (2019), The Business of Platforms, HarperCollins.
Agrawal, A. et al. (2018), Prediction Machines:The Simple Economics of Artificial Intelligence, Harvard Business Review Press.
陳昇瑋 et al. (2019), 人工智慧在台灣, 天下雜誌. |
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參考書目 |
1.https://www.facebook.com/groups/1785598665058445/?ref=bookmarks |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
09/10 |
Part 1. Innovation and Entrepreneurship
1) Product and Process Innovations
Case: Tesla (and Edison)
Guest Speaker: 王斌銓 |
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第2週 |
09/17 |
2) Technological Change and Industrial Revolutions
Case: Elon Musk
Guest Speaker: 王斌銓 |
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第3週 |
09/24 |
3) Business Models and Profitability
Case: Pokemon
Guest Speaker: 王斌銓 |
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第4週 |
10/01 |
4) Digital Impact and Transformation
Case: 華為5G
Guest Speaker: 沈舉三 |
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第5週 |
10/08 |
5) Venture Capital, Incubation and Clustering
Case 孫正義
Guest Speaker 王斌銓
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第6週 |
10/15 |
Part 2. Networks and Platform Business
6) + Internet and Internet +
Guest Speaker: 韓揚銘
Topic: AI Overview and Applications (1/2) |
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第7週 |
10/22 |
7) Network Effects and Winner Take All or Most
Guest Speaker: 韓揚銘
Topic: AI Overview and Applications (2/2) |
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第8週 |
10/29 |
8) Mobility, Cloud and IoT
Guest Speaker: 劉家銘
Topic: Alibaba and 馬雲 |
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第9週 |
11/05 |
9) Strategy and Business Models of Innovation, Transaction and Hybrid
Guest Speaker: 韓揚銘
Topic: New Technologies and AI Applications |
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第10週 |
11/12 |
10) Sharing Economy
Guest Speaker: 韓揚銘
Topic: AI Potential and Commercialization |
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第11週 |
11/19 |
Midterm Exam |
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第12週 |
11/26 |
Part 3. Artificial Intelligence and Transformation
11) Prediction and Decision Making
Guest Speaker: 劉家銘
Topic: FinTech and 螞蟻金服 |
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第13週 |
12/03 |
12) HI (Human Intelligence) and AI
Guest Speaker: 劉家銘
Topic: Industry 4.0 |
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第14週 |
12/10 |
13) AI Development Process and Business Opportunities
Guest Speaker: 沈舉三 韓揚銘 朱師右
Topics: Industry Analysis, Smart City, FinTech |
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第15週 |
12/17 |
14) AI + Marketing
Guest Speaker: 劉澤穎
Topic: MarTech |
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第16週 |
12/24 |
15) Industrial Technology Development
Guest Speaker: 沈舉三
Topic: Smart Systems |
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第17週 |
12/31 |
Group Final Reports |
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第18週 |
01/07 |
Group Final Reports |
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