Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2026 360123 Enterprise Digitalization and Transformation 1 3.0 3 ★ KAI-YING CHEN 4IEM3A
4IEM3B 15 0 工管三甲乙丙合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	360123	Enterprise Digitalization and Transformation	1	3.0	3	★	KAI-YING CHEN	4IEM3A 4IEM3B	15	0	工管三甲乙丙合開

Course Plan：

Instructor KAI-YING CHEN　Office Hours

Email kychen@ntut.edu.tw

Last Updated 2025-12-19 07:40:36

Course Objective 當企業在邁向資訊化與自動化的同時，智慧生產工程師需考量如何整合智慧製造與精實生產。本課程的目標在幫助學生瞭解智慧製造在工廠上的應用，學習建構所謂數位導向的企業。 Since business are moving toward information and automation, smart production engineers need to consider how to integrate smart manufacturing and lean production. The goal of this course is to help students understand the application of smart manufacturing in the factory and to learn to build a so-called digitalized enterprise.

Course Schedule week 1-week 3數位優化與轉型 week 4-week 5智慧製造與數位科技(AI)應用 week 6 期中測驗 week 7-week 12 案例簡介 week 13-week 14 製造執行系統介紹與實作 week 15-week 16 案例簡介 week17-week 18 期末分組報告

Evaluation and grading policy 上課與出席40% 期中測驗20% 期末報告40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
自編講義

The access to curricular consultation 透過email address: kychen@mail.ntut.edu.tw

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG11：永續城市與社區（Sustainable Cities and Communities）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Expanding teaching and resources

Note
無

Instructor	KAI-YING CHEN　Office Hours
Email	kychen@ntut.edu.tw
Last Updated	2025-12-19 07:40:36
Course Objective	當企業在邁向資訊化與自動化的同時，智慧生產工程師需考量如何整合智慧製造與精實生產。本課程的目標在幫助學生瞭解智慧製造在工廠上的應用，學習建構所謂數位導向的企業。 Since business are moving toward information and automation, smart production engineers need to consider how to integrate smart manufacturing and lean production. The goal of this course is to help students understand the application of smart manufacturing in the factory and to learn to build a so-called digitalized enterprise.
Course Schedule	week 1-week 3數位優化與轉型 week 4-week 5智慧製造與數位科技(AI)應用 week 6 期中測驗 week 7-week 12 案例簡介 week 13-week 14 製造執行系統介紹與實作 week 15-week 16 案例簡介 week17-week 18 期末分組報告
Evaluation and grading policy	上課與出席40% 期中測驗20% 期末報告40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 自編講義
The access to curricular consultation	透過email address: kychen@mail.ntut.edu.tw
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Expanding teaching and resources
Note	無