基本素養 Basic Literacy
The aim is to emphasize dignity and values of humanity, and cultivate self-confidence.
The aim is to learn rules of law education and develop working manner and ethics with honor and tolerance.
The aim is to learn to adore life and to show care for the vulnerable.
The aim is to acquire knowledge and develop capabilities in learning foreign languages and aggressively joining international academic activities.
The aim is to acquire knowledge and capabilities in intelligent manufacturing information and systems.
The aim is to acquire knowledge and developing capabilities in e-Manufacturing infrastructure.
The aim is to apply Information and System technology into industry for improving the efficiency and performance of manufacturing technology.
The aim is to acquire knowledge and develop capabilities of independently thinking, analyzing, and solving problems in manufacturing information and systems.
The aim is to acquire knowledge to analize research results.
The aim is to acquire knowledge of efficient communications for crossing research area through professional language expression.
The aim is to acquire knowledge of reading and writing professional papers.
The aim is to acquire knowledge of leadership for team working and innovative design.
The aim is to acquire knowledge and develop capabilities of solidifying team-working spirit, and acquire knowledge of practical techniques and communication for system integration in the innovative manufacturing information and systems.
課程概述 Course Description本課程提供有關智慧製造的深入描述和功能，並通過智慧工廠自動化（iFA）系統平台演示各種行業中實際的智慧製造應用程序和實現。它為學生提供了廣闊的視野，並探索了智慧製造的未來趨勢，以實現所有產品幾乎零缺陷的目標 – 工業4.1的願景。本課程介紹了iFA智慧製造系統，該系統應用了多個先進的資訊與通訊（ICT）技術，例如物聯網（IoT）、邊緣運算（EC）、雲端運算（CC）、巨量資料(Big Data)、和新一代虛擬化技術(Docker及Kubernetes)等來建構一個先進製造物聯雲(AMCoT)平台，然後就可在此平台上建構各式智慧化應用模組。本課程亦介紹了三種先進的智慧化應用模組[即，全自動虛擬量測（AVM），智慧型預測保養（IPM）、和智慧型良率管理（IYM）]。最後，本課程並介紹運用iFA系統平台所建構完成的各式製造業之智慧製造應用案例。
This course provides in-depth descriptions and functions about Intelligent Manufacturing, and also demonstrates the actual Intelligent-Manufacturing applications and implementations in various industries by virtue of the Intelligent Factory Automation (iFA) System Platform. It provides students with a broad view and explores future trends of Intelligent Manufacturing for achieving the goal of nearly Zero Defects of all the products – the vision of Industry 4.1. The course introduces an Intelligent Manufacturing platform - iFA, which leverages several advanced information-and-communication (ICT) topics such as Internet of Things (IoT), Edge Computing (EC), and Cloud Computing (CC), that consist of cyber-physical systems (CPS) in both the cloud and the factory. The course presents three advanced intelligent prediction technologies [i.e., Automatic Virtual Metrology (AVM), Intelligent Predictive Maintenance (IPM), and Intelligent Yield Management (IYM)], which are highly useful to manufacturing industries and are more consistent with the name of Intelligent Manufacturing. The course covers Intelligent Manufacturing application cases of various manufacturing industries.
課程學習目標 Course Objectives
課程進度 Progress Description
|進度說明 Progress Description|
|1||Chapter 1:Evolution of Automation and Development Strategies of Intelligent Manufacturing with Zero Defects|
|2||Chapter 2: Data Acquisition and Preprocessing|
|3||Chapter 2: Data Acquisition and Preprocessing|
|4||Chapter 3: Communication Standards|
|5||Chapter 3: Communication Standards|
|6||Chapter 4: Cloud Computing, Internet of Things, Edge Computing, and Big Data Infrastructure|
|7||Chapter 5: Docker and Kubernetes|
|8||Chapter 6: Intelligent Factory Automation (iFA) System Platform|
|9||Chapter 7: Advanced Manufacturing Cloud of Things (AMCoT) Framework|
|10||Chapter 7: Advanced Manufacturing Cloud of Things (AMCoT) Framework|
|12||Chapter 8: Automatic Virtual Metrology (AVM) & Chapter 11: Application Cases of Intelligent Manufacturing (AVM)|
|13||Chapter 8: Automatic Virtual Metrology (AVM) & Chapter 11: Application Cases of Intelligent Manufacturing (AVM)|
|14||Chapter 9: Intelligent Predictive Maintenance (IPM) & Chapter 11: Application Cases of Intelligent Manufacturing (IPM)|
|15||Chapter 9: Intelligent Predictive Maintenance (IPM) & Chapter 11: Application Cases of Intelligent Manufacturing (IPM)|
|16||Chapter 10: Intelligent Yield Management (IYM) & Chapter 11: Application Cases of Intelligent Manufacturing (IYM)|
|17||Chapter 10: Intelligent Yield Management (IYM) & Chapter 11: Application Cases of Intelligent Manufacturing (IYM)|
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
Survey of the conntent relevant to SDGs
This course is relevant to these items of SDGs as following:
- 工業、創新與基礎建設 (Industry Innovation and infrastructure)
有關課程其他調查 Other Surveys of Courses1.本課程是否規劃業界教師參與教學或演講? 否
Is there any industry specialist invited in this course? How many times? No
Are there any internships involved in the course? How many hours? No
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No