List of Credits for Graduation

Academic Year 2019, Master Program, Department of Industrial Engineering and Management

YearSemesterRequired
Elective
Course IDCourse NameCreditsHoursLevelNote
1 1 3705035 Journal Study and Discussion 1.0 2    
1 1 3707001 Thesis 3.0 3 1 / 2  
1 1 1400510 Advanced Practical English 0.0 2    
1 1 3705033 Graduate On-Site Research 3.0 18    
1 1 3705036 Industrial Engineering and Management Workshop (I) 1.0 2    
1 1 3706025 Experimental Designs 3.0 3  
1 1 3706029 Research Methodology 3.0 3   ■□
1 1 3706040 Industrial Robot 3.0 3  
1 1 3706078 Scheduling Theory 3.0 3  
1 1 3706090 Internet entrepreneurial management 3.0 3  
1 1 3714011 Cognitive Human Factors 3.0 3  
1 1 3715003 Taguchi Quality Engineering 3.0 3  
1 1 3715011 OPERATIONS MANAGEMENT 3.0 3  
1 1 3725009 Practices and applications of TRIZ innovative thinking 3.0 3  
1 1 3725012 Introduction to IoT 3.0 3  
1 1 3725013 VR/AR applications in workspace and its design 3.0 3  
1 1 3725014 User Experience Data Collection and Analysis 3.0 3  
1 1 3725015 E-commerce management 3.0 3  
1 1 3735002 Supply Chain Coordination Management 3.0 3   ◎□
1 1 3735005 Scientific learning and Applications 3.0 3  
1 1 3735006 Advanced Statistics with Applications 3.0 3  
1 1 3735007 Advanced Engineering Economics 3.0 3  
1 1 3735008 Advanced Statistics 3.0 3  
1 1 3735009 Data Pattern Recognition and Classification 3.0 3  
1 1 3736001 Industry Analysis 3.0 3  
1 1 3736017 E-Business Management 3.0 3  
1 1 3736029 Project Investment Analysis 3.0 3  
1 1 3736034 Numerical Methods 3.0 3   ■□
1 1 3736035 Applications of Artificial Neural Networks 3.0 3  
1 1 3737002 Advanced Operations Research 3.0 3  
1 2 3705034 Business Ethics 1.0 2    
1 2 3707001 Thesis 3.0 3 2 / 2  
1 2 3705009 Machine Learning 3.0 3  
1 2 3705014 Human-Computer Interaction 3.0 3  
1 2 3705037 Industrial Engineering and Management Workshop (Ⅱ) 1.0 2    
1 2 3706024 Artificial Intelligence 3.0 3  
1 2 3706034 Logistics Management 3.0 3  
1 2 3706041 The Principles and Applications of Machine Vision 3.0 3   □◎
1 2 3706082 E-Business 3.0 3  
1 2 3706084 Inventory Theory 3.0 3  
1 2 3706085 Robotic Integrated Manufacturing 3.0 3  
1 2 3706087 Supply Chain and Logistic Management 3.0 3   ◎□
1 2 3706098 Advanced Applied English 0.0 2    
1 2 3707009 Optimization Methodology 3.0 3  
1 2 3715002 Innovative Product R&D Management 3.0 3  
1 2 3715007 The applications of TRIZ creative method 3.0 3  
1 2 3715008 Fab Operation Management and Advanced Manufacturing Technology 3.0 3  
1 2 3715009 Reliability Engineering 3.0 3  
1 2 3715012 AR/VR Practice of Manufacturing and Workspace Design 3.0 3  
1 2 3723065 Industry 4.0 Information System 3.0 3  
1 2 3725001 automated inspection system 3.0 3  
1 2 3725004 Internet Marketing 3.0 3   □◎
1 2 3725010 Psychophysics and Signal Detection Theory 3.0 3  
1 2 3725016 Electronic Commerce;EC 3.0 3  
1 2 3725017 Practice of Intelligent Manufacturing Execution System 3.0 3  
1 2 3735003 Multi Objectives Decision Making 3.0 3  
1 2 3735004 Artificial Intelligence and Machine Learning with Applications 3.0 3  
1 2 3736018 Project Management 3.0 3  
1 2 3736036 Seminar on Learning productivity 3.0 3  
1 2 3736038 Network Models and Integer Programming 3.0 3  
1 2 3737003 Quality Management 3.0 3  

Note :
1. Minimum number of credits for the master degree: 35 credits
2. Required courses: 8 credits, including 6 credits from Master Thesis and 2 credits from Journal Study and Discussion; elective courses: 27 credits.
3. The master students can take at most 12 credits in other departments and institutes in National Taipei University of Technology or other universities.
4. The master students who did not obtain the bachelor degree from Industrial Engineering or related programs must take two of five courses: Production Planning and Control, Quality Management, Operations Research, Work Study, and Human Factors. The final scores of the two selected courses must exceed 70.
5. The courses are divided into three professional categories: Production Management and Manufacturing Services, E-Industry and the Application of Information, and Management Science and Decisions. The master students must take at least 4 courses from one of the three categories. Graduate On-Site Research belongs to all of the three categories.
6. The master students who enrolled in and after the academic year of 2009 must satisfy the degree requirement in English capability. The detailed information of the requirement can be found on the website of the department.
7. Each graduate student shall pass the minimum English proficiency requirement(s) for graduation, and shall all meet the criteria of the English proficiency tests set by the department (if any). Students may refer to the department websites for their English proficiency criteria set by each department.
8.The above table of courses is applied to the master students enrolled in the academic year of 2019.