數據驅動創新實踐Digital Transformation(國際班)
教師: 胡詠翔
2023/10/01~2023/11/15
(報名結束)

摘要

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.



課程目標

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.

授課教師

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

課程進度表

單元 1:Introduction to the course and 2045 Next Singularity

單元 2:Data-driven innovation cases

單元 3:Digitization, digital transformation, and digital reengineering

單元 4:Tutorial on creating posters and presentations

單元 5:Workflow redesign with AI and data integration (Part 1)

單元 6:Workflow redesign with AI and data integration (Part 2)

單元 7:Midterm exam

單元 8:Farewell to Excel - Visualizing data from raw data

單元 9:Data visualization - Five-step process + guidance for final project

單元 10:Hands-on practice (1) - Power BI

單元 11:Hands-on practice (2) - Finding key influential factors from customized feature quality

單元 12:Hands-on practice (3) - Creating dashboards

單元 13:Evaluating "ethical" models for data-driven decision-making

單元 14:Big data and employment opportunities

單元 15:Exam

課程內容

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.

通過標準


課程及格標準:60分滿分:100分

先修科目或先備能力

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.