教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-2	316871	智能化生產技術	1	3.0	3	★	李志鴻	機電所 製科所 機械自動化外生專班 能源與車輛外生專班 機電博所 機電外國學生專班	59	1	製科所必選課程之一/機電所、製科所、機電博和外生班

教學大綱與進度：

教師姓名	李志鴻　教師諮商時間(Office Hours)
Email	cl4e@mail.ntut.edu.tw
最後更新時間	2023-05-29 14:28:25
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 IoT Fundamental Technologies and Applications: Week 5 Smart Factory Application Examples Week 6 Cloud Service System and Information Security Technology Week 7 Cloud Architecture Security Methods Week 8 Big Data Capture, Storage, and Management Week 9 Mid-term examination Week 10 Application Examples of Big Data Week 11 E-Manufacturing System Architecture Week 12 Manufacturing Execution System (MES) functions and applications Week 13 Analysis of the pros and cons of Manufacturing Execution System (MES) Week 14 Automation and Robotics and Applications: Week 15 Intelligent Control System Week 16 Robot Application Case Study Week 17 Machine Vision System Architecture and Working Principle Week 18 Final exam
評量方式與標準	Report grade: 60% Mid-term exam: 20% Final exam: 20%
使用教材、參考書目或其他	【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：否 Teacher's notes Machine Learning/Tom M. Mitchell/McGraw-Hill Deep Learning/Ian Goodfellow, Yoshua Bengio, Aaron Courville/MIT Press (http://www.deeplearningbook.org)
課程諮詢管道	Place: Room 714-2, Integrated Technology Complex Time: TBA
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