智能化生產技術

臺北科技大學 114-2 學期課程，課號 356233。

課程大綱

This course covers a wide range of fundamental technologies pertinent to Industry 4.0-Intelligent production, including a brief history of the industrial revolution, artificial intelligence algorithms, technologies and application examples of the Internet of Things, cloud service systems and information security technologies, big data management, analysis, and application examples, intelligent enterprise and factory management systems and applications, automation and robotics technology and applications, etc.

課程進度

Week 1 Introduction to Intelligent Production Week 2 The Past and Present of Artificial Intelligence Week 3 Principles of Contemporary Artificial Intelligence Week 4 Intelligent enterprise and factory management system and application Week 5 IoT basic technology and application Week 6 Cloud Service System and Information Security Technology Week 7 Mass data management, analysis, and application Week 8 Value creation system Week 9 Mid-term examination Week 10 Special topic: Prognostic Maintenance Week 11 Special topic: IoT in Industry 4.0 Week 12 Special topic: Industrial IoT Week 13 Special topic: Cloud Manufacturing Week 14 Special topic: Digital Twin in Manufacturing Week 15 Special topic: Machine Learning and Data Mining in Manufacturing Week 16 Special topic: Defect Detection Week 17 Special topic: Cyber-Physical Systems Week 18 Final exam

評量方式

Report grade: 60% Mid-term exam: 20% Final exam: 20%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Industry 4.0 - Intelligent Production Technology and Practice, Chih-Hung Li (Teacher's notes) Machine Learning/Tom M. Mitchell/McGraw-Hill Deep Learning/Ian Goodfellow, Yoshua Bengio, Aaron Courville/MIT Press (http://www.deeplearningbook.org)