List of Credits for Graduation

Academic Year 2018, Master Program, Graduate Institute of Automation Technology

YearSemesterRequired
Elective
Course IDCourse NameCreditsHoursLevelNote
1 1 6105001 Thesis 3.0 3 1 / 2 @
1 1 6105002 Seminar 1.0 2 1 / 2 @
1 1 3105037 Fuzzy Control 3.0 3 @ @
1 1 6105003 The Software of Mechanical Design Automation 3.0 3 @ @
1 1 6105004 The Software of Electrical Design Automation 3.0 3 @ @
1 1 6105005 Introduction to Automatic System 3.0 3 @ @
1 1 6105006 Man-Machine System 3.0 3 @ @
1 1 6105007 System Dynamic Modeling and Simulation 3.0 3 @ @
1 1 6105008 Artificial Intelligence and Expert System 3.0 3 @ @
1 1 6105009 Computer Algorithms 3.0 3 @ @
1 1 6105010 E-commerce 3.0 3 @ @
1 1 6105011 Advanced Computer-aided Design 3.0 3 @ @
1 1 6105012 Computer Aided Engineering Analysis 3.0 3 @ @
1 1 6105013 Computer Aided Engineering Test 3.0 3 @ @
1 1 6105014 Grey System 3.0 3 @ @
1 1 6105015 Principle for Automation Management 3.0 3 @ @
1 1 6105016 Concurrent Engineering 3.0 3 @ @
1 1 6105025 Design of Solid Models 3.0 3 @ @
1 1 6105026 Pattern Recognition Technology 3.0 3 @ @
1 1 6105033 Advanced Precision Metrology 3.0 3 @ @
1 1 6105036 Mechatronics in Medicine 3.0 3 @ @
1 1 6105037 Rehabilitation Technology 3.0 3 @ @
1 1 6105038 Applied Technology of Digital Signal Processor 3.0 3 @ @
1 1 6105043 Introduction to Embedded System Design 3.0 3 @ @
1 1 6105045 Computer Network 3.0 3 @ @
1 1 6105046 Special Topics in HDL 3.0 3 @ @
1 1 6105047 Design of Micro-Controller systems 3.0 3 @ @
1 1 6105048 Technology Innovation Practice 3.0 3 @ @
1 1 6105051 Design and Manufacturing Technology of Flat Panel Display 3.0 3 @ @
1 1 6105052 The Development and Application of Embedded Multitasking Real-time Kernel 3.0 3 @ @
1 1 6105055 Digital Image Processing 3.0 3 @ @
1 1 6105056 Grey MADM Analysis 3.0 3 @ @
1 1 6105057 Machine Vision and Image Processing Algorithm 3.0 3 @ @
1 1 6105059 Artificial Intelligence 3.0 3 @ @
1 1 6105060 The Advantage Engineering Mathematica 3.0 3 @ @
1 1 6105061 Machine Learning 3.0 3 @ @
1 1 6105063 Advanced Linear System 3.0 3 @ @
1 1 6105064 Nonlinear Control 3.0 3 @ @
1 1 6105065 Research Topics in Smart Living Technologies 3.0 3 @ @
1 1 6105066 Robust Control 3.0 3 @ @
1 1 6105067 Advanced T-S Fuzzy System 3.0 3 @ @
1 1 6105070 Optimal Control 3.0 3 @ @
1 1 6105071 Application and design of engineering software 3.0 3 @ @
1 1 6105072 Graduate On-Site Research 3.0 18 @ @
1 1 6105077 Digital Instrument Control 3.0 3 @ @
1 1 6105080 Intelligent Control 3.0 3 @ @
1 1 6105081 Industrial Networks 3.0 3 @ @
1 1 6105082 Branded Company's Integrated Product Development 3.0 3 @ @
1 1 6105083 Data Analysis and Processing 3.0 3 @ @
1 1 6105084 Modern Control Theory 3.0 3 @ @
1 2 6105001 Thesis 3.0 3 2 / 2 @
1 2 6105002 Seminar 1.0 2 2 / 2 @
1 2 4005029 Advanced Integrated Circuit Fabrication Process and Lab. 3.0 4 @ @
1 2 4005030 Engineering Optimization Methods and Applications 3.0 3 @ @
1 2 4005131 Artificial intelligent and machine learning 3.0 3 @ @
1 2 6105017 Robot Analysis and Design 3.0 3 @ @
1 2 6105018 Advanced Computer-aided Mechanism Analysis 3.0 3 @ @
1 2 6105020 Quality Control and Rrliability Engineering 3.0 3 @ @
1 2 6105021 Design of Automatic Machinery 3.0 3 @ @
1 2 6105022 Fuzzy Control 3.0 3 @ @
1 2 6105023 Neural Network 3.0 3 @ @
1 2 6105024 Design for Virtual Reality 3.0 3 @ @
1 2 6105027 Computer Aided Heat Flow Analysis 3.0 3 @ @
1 2 6105028 Integrated Database for Automatic Operation Line 3.0 3 @ @
1 2 6105029 Clean Room Design 3.0 3 @ @
1 2 6105030 Computer-Aided Integrated Circuit Design 3.0 3 @ @
1 2 6105031 Automatic Optical Metrology and Experiment 3.0 3 @ @
1 2 6105032 3D Reverse Engineering & Techniques 3.0 3 @ @
1 2 6105034 Special topics on designing SCADA Systems 3.0 3 @ @
1 2 6105035 Genetic Algorithms 3.0 3 @ @
1 2 6105039 Digital Control System 3.0 3 @ @
1 2 6105040 Computerized Motion Control 3.0 3 @ @
1 2 6105041 Object-oriented Programming and its applications 3.0 3 @ @
1 2 6105042 Real-time Control System 3.0 3 @ @
1 2 6105044 Embedded System Design and Application 3.0 3 @ @
1 2 6105049 Micro-and Nano-measurement System and Technuques 3.0 3 @ @
1 2 6105050 Advanced Microprocessor System Design 3.0 3 @ @
1 2 6105053 The Design Theory and Application of RFID 3.0 3 @ @
1 2 6105054 Soft Computing 3.0 3 @ @
1 2 6105058 Adaptive Fuzzy Neural Control 3.0 3 @ @
1 2 6105062 Special Topics on T-S Fuzzy Model 3.0 3 @ @
1 2 6105068 Introduction to Optimization 3.0 3 @ @
1 2 6105069 Special Topic in T-S fuzzy control 3.0 3 @ @
1 2 6105076 Experiments and Design for Automatic Systems 3.0 3 @ @
1 2 6105078 Applied Technology of the Internet of Things 3.0 3 @ @
1 2 6105079 Technical English Writing 3.0 3 @ @
1 2 6105085 Evolutionary Computing 3.0 3 @ @
1 2 6105086 Deep Learning 3.0 3 @ @
1 2 6105087 Embedded Industrial Machine Vision 3.0 3 @ @

Note :
1.Minimum graduation credits: 32
2.8 credits for required courses (including 6 credits in Thesis and 2 credits in Seminar, 2 semester); and 24 credits for elective courses.
3.Students need to take at least 15 credits from graduate institute elective courses. Students can only take 9 credits for outside courses of the graduate institute. The above policy can be adjusted for Students from foreign countries.
4.All graduate students are required to reach the minimum level of English proficiency or above as one of the necessary requirements for graduation. The associated English course to be taken by those students as an alternative way to reach the minimum level of English proficiency required for graduation can not be included in 24 credits for elective courses.
5.For more details on the relevant standards of English proficiency, please consult with the website of Graduate Institute of Automation Technology.
6.This curriculum is applied for 2018 class students.