This course content is based on the "Future Brain 4.0 Series Course" developed with the support of the Ministry of Education. The main focus is on introducing the digital transformation trend based on smart technology and innovative work processes. It particularly emphasizes how industries can evolve from "digitization" and "digital optimization" to "digital transformation". Through the course, students will learn about the 1. Innovative practice case analysis, 2. Artificial intelligence and digital transformation, 3. Innovative internship - writing transformational copy, 4. Hands-on exercises - data visualization, and 5. Data ethics in driving data-based decision-making in domestic and international industries.
本次國際班課程以國際推廣為目的，只設置一次測驗作為通過標準，且與一般課程不同，並無發行證書。
The international class curriculum for this session is designed for international promotion purposes, and only one test is set as the passing criterion. It is different from regular courses and does not issue certificates.
1. I can understand digital transformation.
2. I can learn about practical applications of digital transformation in the workplace.
3. I can interpret emerging technologies such as big data, artificial intelligence, 5G, IoT, etc., and practice data-driven innovation.
Dr. Hu,Yong-Hsiang
Associate Professor, Center for General Education, National Yunlin University of Science and Technology
Head of Teacher Development Group, Instructional Excellence Center
Ceo of School Affairs Research Center
Unit 1:Introduction to the course and 2045 Next Singularity
Unit 2:Data-driven innovation cases
Unit 3:Digitization, digital transformation, and digital reengineering
Unit 4:Tutorial on creating posters and presentations
Unit 5:Workflow redesign with AI and data integration (Part 1)
Unit 6:Workflow redesign with AI and data integration (Part 2)
Unit 7:Midterm exam
Unit 8:Farewell to Excel - Visualizing data from raw data
Unit 9:Data visualization - Five-step process + guidance for final project
Unit 10:Hands-on practice (1) - Power BI
Unit 11:Hands-on practice (2) - Finding key influential factors from customized feature quality
Unit 12:Hands-on practice (3) - Creating dashboards
Unit 13:Evaluating "ethical" models for data-driven decision-making
Unit 14:Big data and employment opportunities
Unit 15:Exam
This course covers digital transformation, smart technologies, and hands-on implementation of Power BI software. It includes: 1. Analysis of innovative case studies. 2. Artificial Intelligence and digital transformation. 3. Practical exercises in writing transformational content. 4. Hands-on implementation of data visualization.5. Data ethics.
1. This course does not require any background knowledge. It is recommended for students who have previously taken the course "Design Thinking for Big Data" or "When Robots Come to Work: AI Essentials for the Future Workplace".
2. Basic understanding of statistics and data analysis concepts.