Type of Credit: Elective
Credit(s)
Number of Students
此一課程主要在介紹身處數位經濟時代的企業與組織,如何進行產業分析及企業決策,協助學者掌握數位經濟的本質與科技應用,將所學之方法、模型與邏輯應用於生技醫療產業。
能力項目說明
教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
---|---|---|
週次 Week |
課程主題 Topic |
課程內容與指定閱讀 Content and Reading Assignment |
教學活動與作業 Teaching Activities and Homework |
學習投入時間 Student workload expectation |
|
課堂講授 In-class Hours |
課程前後 Outside-of- class Hours |
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Week 1
|
Course Introduction & Overview of BIO Industry |
產業分析及生醫產業綜觀(自編講義) |
課後作業 |
4 |
2 |
Week 2
|
Mega trend & Digital Economic Development |
總體環境趨勢與數位經濟發展(自編講義) |
課後作業 |
4 |
2 |
Week 3
|
Corporate issues & Decision-Making Methodology |
企業決策模型 |
課後作業 |
4 |
2 |
Week 4
|
Tools & Models of industry analysis |
產業分析工具 |
課後作業 |
4 |
2 |
Week 5
|
Industry analysis and corporate strategy |
產業策略擬定 |
課後作業 |
4 |
2 |
Week 6
|
Industry analysis & Logical thinking |
產業分析與邏輯思維(自編講義) |
課後作業 |
4 |
2 |
Week 7
|
Guest Speakers |
專家實務演講 |
課後作業 |
4.0 |
0 |
Week 8
|
Group presentation & Exam. |
期末簡報及考試 |
分組報告及考試 |
4.0 |
4 |
|
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授課方式 Teaching Approach |
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講述 Lecture: 60 %;討論 Discussion: 30 %;小組活動 Group Activity:10 %; 數位學習 E-learning: 0 %;其他 Others: 0 %。 |
Participation in class & case study: 50% Final personal repot: 20% |
|
產業分析的12堂課,詹文男等著,資策會產業情報研究所