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工業工程與經營資訊學系
course information of 113 - 1 | 0872 Intelligent Manufacturing System(智慧製造系統)

0872 - 智慧製造系統 Intelligent Manufacturing System


教育目標 Course Target

培養同學了解智慧製造理論基礎, 了解生產製造之各系統及其整合運用技術的基礎概念, 使學生了解智慧機械之基本架構、內涵、應用範圍與優勢,同時建構學生相關技術之基礎與應用知識,使學生未來能在產業界能快速有效的在智慧製造開發與應用領域持續發展。著重於智慧製造技術基礎介紹,俾能對智慧製造技術建立初步了解,建立未來\應用及研究工業4.0發展的基礎。Cultivate students to understand the theoretical basis of smart manufacturing, understand the various systems of production and manufacturing and their basic concepts of integrated application technology, so that students can understand the basic structure, connotation, application scope and advantages of smart machinery, and at the same time construct the basic and application knowledge of students' related technologies. This will enable students to quickly and effectively develop in the field of smart manufacturing, development and application in the industry in the future. Focus on the introduction of the basics of smart manufacturing technology, so as to establish a preliminary understanding of smart manufacturing technology and establish a foundation for future application and research on the development of industry 4.0.


參考書目 Reference Books

Kaggle大師教您用Python玩資料科學 出版社:碁峰 作者: 石原祥太郎, 村田秀樹
約十篇論文及產業實際案例。
Kaggle teaches you how to play data science with Python Publisher: Gofeng Author: Ishihara Sotaro, Murata Hideki
About ten articles and industry actual cases.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
平時成績平時成績
Regular achievements
30
期中考期中考
Midterm exam
35
期末報告期末報告
Final report
35

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Wednesday/2,3,4[C215]
授課教師 Teacher:藍坤銘
修課班級 Class:工工系2-4
選課備註 Memo:設計生產組
授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 72 person in the class.
目前選課人數為 72 人。

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