新興科技專題
Emerging Technology Seminar
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 新興科技專題 MB110（光復） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The objectives are to launch your career in understanding advanced emerging technology and market trends to lead future R&D and business. The course covers details on Big Data (Hadoop, Spark, Storm), Wearable Technology (Smart Watches), 5G Mobile Communications (1G to 5G), Cloud Computing, AR/VR (Augmented Reality/Virtual Reality). The course contents are for introductory level, but can be aiming at research, design, development, industrial strategic planning, business, administration,and management.
Nil
無備註
教師未提供此項資料
(1) Class Reports (40%) (2) Your Team Application (40%) (3) Class Participation (20%)
Big Data
1. Big Data Analysis 2. Basic R language programming 3. Clustering Analysis
- 講授：
- V
- 示範：
- V
AI and Deep Learning
4. AI and Deep Learning 5. Machine Learning and Deep Learning 6. Basic Python language programming 7. Industrial 4.0 and AI applications
- 講授：
- V
- 示範：
- V
Block Chain
8. Block Chain Technology 9. Block Chain: Basic Essence and Applications
- 講授：
- V
- 示範：
- V
Cloud Computing
10. Cloud computing and applications 11. Enterprise Business Applications (ERP & CRM)
- 講授：
- V
Augmented, Virtual and Mixed Reality
12. This module discusses Virtual Reality (VR), Augmented Reality (AR) and everything inbetween.
- 講授：
- V
Wearable Device
13. Wearable Devices Innovation 14. Wearable Devices Innovation: Technology and Revolution
- 講授：
- V
BioMed
15. Biodesign Innovation 16. Biodesign Innovation: 17.Technology and Revolution
- 講授：
- V
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Overview |
| 第 2 週 | Big Data Analysis |
| 第 3 週 | Basic R language programming |
| 第 4 週 | Clustering Analysis |
| 第 5 週 | AI and Deep Learning |
| 第 6 週 | Machine Learning and Deep Learning |
| 第 7 週 | Basic Python language programming |
| 第 8 週 | Industrial 4.0 and AI applications |
| 第 9 週 | Block Chain Technology |
| 第 10 週 | Block Chain: Basic Essence and Applications |
| 第 11 週 | Cloud computing and applications |
| 第 12 週 | Enterprise Business Applications (ERP & CRM) |
| 第 13 週 | Augmented, Virtual and Mixed Reality |
| 第 14 週 | Wearable Devices Innovation |
| 第 15 週 | Wearable Devices Innovation: Technology and Revolution |
| 第 16 週 | Biodesign Innovation |
| 第 17 週 | Your Team Application |
There is no required textbook basically. However, there is a list of references. 1. Disruptive Technology: Concepts, Methodologies, Tools, and Applications, IGI Global, 2020. 2. Han, Jiawei, Jian Pei, and Micheline Kamber, “Data Mining: Concepts and Techniques. Elsevier, 2011. 3. Thomas N. Duening, Robert A. Hisrich, and Michael A. Lechter (2015) Technology Entrepreneurship, Second Edition: Taking Innovation to the Marketplace, 2nd Edition, Academic Press. 4. Vijay K. Jolly (2011) Commercializing New Technology. 5. W.D. Bygrave and, A. Zacharakis, Entrepreneurship, 2nd Edition, J. Wiley, 2011 And related journal and conference articles.
- 地點
- Professor’s office
- 時間
- 30 minutes before or after class, or by appointment
- 聯絡方式
- Available in NCTU Web site