Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	331837	Intelligent Production Technology	1	3.0	3	★	LI, CHIH-HUNG	GME GMT IMMA DME 機電外國學生專班	53	3	製科所必選課程之一/機電所、製科所、機械自動化外和

Course Plan：

Instructor	LI, CHIH-HUNG　Office Hours
Email	cl4e@mail.ntut.edu.tw
Last Updated	2024-05-17 11:35:29
Course Objective	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.
Course Schedule	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
Evaluation and grading policy	Report grade: 60% Mid-term exam: 20% Final exam: 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Teacher's notes Machine Learning/Tom M. Mitchell/McGraw-Hill Deep Learning/Ian Goodfellow, Yoshua Bengio, Aaron Courville/MIT Press (http://www.deeplearningbook.org)
The access to curricular consultation	Place: Room 714-2, Integrated Technology Complex Time: TBA See Note below for class arrangements of the 17th and 18th weeks.
The course corresponds to the SDGs
Note	7.可負擔能源 8.就業與經濟成長 12.責任消費與生產 Classes of the 17th and 18th weeks will be online. Please use the following links for the Google Meet sessions to join the classes: 6/14:https://meet.google.com/ocd-gmxa-bww 6/21:https://meet.google.com/atm-ajhm-jtf