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Brief Syllabus

Required Courses

Seminar ( I )

Grade: First Year
Credits: 1
Semester Course or School Year Course: Semester Course

Course Description:

  • To invite professional scholars to host seminars regarding the academic and technical development of digital mechatronic technology and other industrial fields to enhance students’ professional knowledge.
  • To schedule students for project reports to follow up with the students’ thesis subjects, timelines and research outcomes; and to share research findings and experiences with the class in order to enhance the students’ academic writing ability.
  • To have students read and write English papers and essays to raise their English competency to graduation standards.

Teaching Contents: Continuing from Seminar (I) last semester to focus on both Oral Presentation and Paper Writing. Regarding oral presentation, students are to come up to the stage to share their paper writing process with the class. Because the papers may have now reached a certain degree of completion, emphasis will be on their conceptual explanations and oral defense. As for paper writing, the focus will be on having students read relevant research articles and write reports accordingly to enhance their academic writing ability.

Teaching Method: Slides for introduction of principles and applications; Random quizzes for enhancement of interest and attention; Homework and tests for enhancement of learning efficiency.

Control Theory
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course

Digital Mechatronic System Integration
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description:
The application of digital mechatronic system integration is like the human brain. Control Theory and CAD in the first year of the Graduate Program are the basic courses for automation control. Courses in the second year will be focused on the case study of problems that the students may encounter in the industry, such as motor stability, speed control, force control and feedback (sometimes as electric circuits and wind generators relating to system engineering integration.) In general, in terms of automation control and system engineering, mechatronic system integration can be classified into the following four parts: Controller, Sensor, Actuator and Mechanism; for details, refer to Course Schedule.

Digital Signal Processing
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course

Course Description:

  • Introduction to Signal Processing
  • Discrete-Time System Analysis
  • DFT and Spectrum Analysis
  • Electric Filter Specifications and Structures
  • FIR Electric Filter Design
  • Multi-rate Signal Processing

Teaching Contents: The applications of digital signal processing have been developing in the fields of the multimedia processing of sounds, images and videos as well as telecommunications and control and medical engineering. This course will be focused on the conceptual explanations of digital signal processing theory supplemented with our daily experiences of sounds, music and other signal processing examples to encourage students’ interest in learning. Moreover, Matlab programming and the GUI Module will be employed to verify the processing results so that students can have quick and better comprehension of digital signal processing theory and its applications in their research.

Content Description:

  • Introduction to Signal Processing
  • Discrete-Time System Analysis
  • DFT and Spectrum Analysis
  • Electric Filter Specifications and Structures
  • FIR Electric Filter Design
  • Multi-rate Signal Processing


Teaching Method:

Seminar (II)
Grade: Second Year
Credits: 1
Semester Course or School Year Course: Semester Course

Course Description:

  • To invite professional scholars to host seminars regarding the academic and technical development of digital mechatronic technology and other industrial fields to enhance students’ professional knowledge.
  • To schedule students for project reports to follow up with the students’ thesis subjects, timelines and research outcomes and to share research findings and experiences with the class in order to enhance their academic writing ability.
  • To have students read and write English papers and essays to enhance their English competency to graduation standards.

Teaching Content: Continuing from Seminar (I) last semester to focus on both Oral Presentation and Paper Writing. Regarding oral presentation, the students are to come up to the stage to share their paper writing process with the class. Because papers may have now reached a certain degree of completion, the emphasis will be on their conceptual explanations and oral defense. As for paper writing, the focus will be on having students read relevant research articles and write reports to enhance their academic writing ability.

Teaching Method: Slides for introduction of principles and applications; Random quizzes for enhancement of interest and attention; Homework and tests for enhancement of learning efficiency.

Research Methodology
Grade: First Year
Credits: 2
Semester Course or School Year Course: Semester Course

Course Description:
Teaching Method:

Elective Courses
Science and Technology Management Introduction
Grade: First Year
Credits: 2
Semester Course or School Year Course: Semester Course

Course Description: To enhance students’ instant connection to the industry after graduation, to minimize the differences between the fields of academia and industry, and to enhance students’ productivity and competitiveness in the industry with their original academic backgrounds.

  • Introduction to System Engineering
  • System Engineering Procedure and Application
  • Product Reliability and TQM, as well as Customer Satisfaction
  • Configuration Management
  • The Enterprise’s Executive Weapon/ House of Quality and Quality Function Development Matrix
  • The Four Major Loops of the System Engineering Procedure
  • System Testing and Evaluation
  • Risk Assessment and Prevention
  • Case Study
  • From Smiling Curve, OEM, and ODM to Blue Ocean Strategy
  • From Porter Theory to Japan No. 1.
  • The Current Status and Future Outlook of Taiwan’s Industry / Starting from Energy Issue

Teaching Contents: Science and Technology Management has been a well-known field of new economic development since 1992. Science and Technology Management has been considered the critical strength for rapid economic growth for developed countries, developing countries and undeveloped countries. The course is structured as follows: The Role of Science and Technology in Value Creation/ Important Factors in Science and Technology Management/ New Model for Science and Technology Management/ Technology Life Cycle/ Technology Innovation Process/ Competitiveness/ Enterprise Strategy and Technology Strategy/ Technology Transfer/ Case Study in Manufacturing Industry and Service Industry/ Organization Design/ Change Management

Teaching Method: Lectures and Reports

Microelectronic Elements and Manufacturing Technology
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course is divided into two parts – (1) Semiconductor Device Physics Theory; (2) Advanced Semiconductor Technology Application. Regarding Semiconductor Microelectronic Device Physics, the general concept of Semiconductor Materials and Semiconductor Devices will be discussed (such as Transistor-Bipolar; FET; MOS; Bipolar; Capacitance; and Resistance). In addition, the Microelectronics Manufacturing Technology will introduce Single Crystal Growth Technology, Silicon Oxidation Technology and Advanced Photomask Technology, as well as Semiconductor Technology applications on Microelectronic Devices and Theory. This graduate studies-oriented course is very important for graduate students and, in the meantime, indispensable for advanced Nanoelectronics Research.
Teaching Contents: This course will discuss Microelectronics Theory and its application on advanced Semiconductor Technology. Regarding Microelectronics Devices, devices such as Transistor-Bipolar; FET; MOS; Bipolar; Capacitance; and Resistance will be discussed. In addition, the Microelectronics Manufacturing Technology will introduce Single Crystal Growth Technology, Silicon Oxidation Technology and Advanced Photomask Technology, as well as VLSI technology applications on Microelectronic Devices and Theory.
Teaching Method:

Science and Technology (in English)
Grade: First Year
Credits: 2
Semester Course or School Year Course: Semester Course
Course Description:

Wireless Networks
Teaching Method: Class Teaching

Artificial Intelligence
Grade: Frist Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description:

  • Introduction to Intelligent System based on Knowledge
  • Expert System based on Rules: Structure, Efficiency, Reasoning Technology, Conflict Solution, Merits and Demerits and Case Study.
  • Uncertainty Management of Expert System based on Rules: Probability Theory, Bayesian Inference, Certainty Factor and Forecast.
  • Fuzzy Expert System: Fuzzy Sets, Fuzzy Rules, Fuzzy Reasoning, Fuzzy Expert System.
  • Expert System based on Frame: Method and Daemon, Interaction of Frame and Rule and Case Study.
  • Artificial Neural Networks: Preceptors, Multilayer Neural Networks, Hopfield Neural Networks, Bidirectional Associative Memory, and Self-Organized Artificial Neural Networks.
  • Evolutionary Computation: Neural Expert System, Neural Fuzzy System, ANFIS, Evolutionary Neural Networks and Fuzzy Evolutionary System.
  • Hybrid Intelligent Systems: Neural Expert System, Neural Fuzzy System, ANFIS, Evolutionary Neural Networks and Fuzzy Evolutionary System.
  • Knowledge Engineering, Data Mining and Applications.

Teaching Contents:
Teaching Method:

Nanomaterials
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: Course Goal: To cultivate students with the ability to develop expert systems based on rule and frame, as well as to design a fuzzy system, artificial neural networks and exercise a simple genetic calculation after exploring the theoretical knowledge of artificial intelligence.
Content Description:

    • Introduction to Intelligent System based on Knowledge
    • Expert System based on Rules: Structure, Efficiency, Reasoning Technology, Conflict Solution, Merits and Demerits and Case Study.
    • Uncertainty Management of Expert System based on Rules: Probability Theory, Bayesian Inference, Certainty Factor and Forecast.
    • Fuzzy Expert System: Fuzzy Sets, Fuzzy Rules, Fuzzy Reasoning, Fuzzy Expert System.
    • Expert System based on Frame: Method and Daemon, Interaction of Frame and Rule and Case Study.
    • Artificial Neural Networks: Preceptors, Multilayer Neural Networks, Hopfield Neural Networks, Bidirectional Associative Memory, and Self-Organized Artificial Neural Networks.
    • Evolutionary Computation: Neural Expert System, Neural Fuzzy System, ANFIS, Evolutionary Neural Networks and Fuzzy Evolutionary System.
    • Hybrid Intelligent Systems: Neural Expert System, Neural Fuzzy System, ANFIS, Evolutionary Neural Networks and Fuzzy Evolutionary System.
    • Knowledge Engineering, Data mining and Applications.

Virtual System and Virtual Reality
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course aims to develop students’ ability in system analysis and comprehension of virtual skills and practices, as well as to teach them to master software operations when entering the industry by conducting practical system analysis with software programming. It also teaches the students to apply virtual analysis to system properties to minimize the actual variance upon system completion. It also includes virtual reality in which software can be combined with hardware by fast calculations to complete the system interface and exercises as in real world operations.

Virtual System and Virtual Reality
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course aims to develop students’ ability in system analysis and comprehension of virtual skills and practices, as well as to teach them to master software operations when entering the industry by conducting practical system analysis with software. It also teaches students to apply virtual analysis to system properties to minimize the actual variance upon system completion. It also includes virtual reality in which software can be combined with hardware by fast calculations to complete the system interface and exercises as in real world operations.

Robotics Principles and Practice

Electronic Materials
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course is focused on Electronic Materials, Semiconductor Materials, Dielectric Materials, Piezoelectrical Materials and Optical Materials, as well as their applications on Electroceramics and Integrated Circuits as conductor materials.
Teaching Contents: This course focuses on Electronic Materials, Semiconductor Materials, Dielectric Materials, Piezoelectrical materials and Optical Materials, as well as their applications on Electroceramics and Integrated Circuits as conductor materials.
In addition to Semiconductor Materials Technology, Electronic Materials have also made impressive progress in other fields, widely ranging from Material Structures, Semiconductors, Cryoconductors, LCD, Thin-Film Transistors, Integrated Optics, Material Physics or Chemistry, Microelectromechanical Systems, Medical Engineering, and Sensors. The emphasis is on Semiconductor Materials: Crystal Materials, Wafer Manufacturing Materials, Manufacturing Materials, Machinery Manufacturing Materials, Cleanroom and Plant Facility Materials, and Packaging Materials.
Teaching Method: Slides Teaching

Electronic Materials
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course focuses on Electronic Materials, Semiconductor Materials, Dielectric Materials, Piezoelectrical materials and Optical Materials, as well as their applications on Electroceramics and Integrated Circuits as conductor materials.
Teaching Contents: This course focuses on Electronic Materials, Semiconductor Materials, Dielectric Materials, Piezoelectrical Materials and Optical Materials, as well as their applications on Electroceramics and Integrated Circuits as conductor materials.
In addition to Semiconductor Materials Technology, Electronic Materials have also made impressive progress in other fields, widely ranging from Material Structures, Semiconductors, Cryoconductors, LCD, Thin-Film Transistors, Integrated Optics, Material Physics or Chemistry, Microelectromechanical Systems, Medical Engineering, and Sensors. The emphasis is on Semiconductor Materials: Crystal Materials, Wafer Manufacturing Materials, Manufacturing Materials, Machinery Manufacturing Materials, Cleanroom and Plant Facility Materials, and Packaging Materials.
Teaching Method: Slides Teaching

Computer-Aided Design Analysis
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course

Course Description: This course is divided into the three dimensions of CAD Teaching, Research and Simulation and takes place in Computer Classroom 330 in the Dept. of Mechanics. This course aims to train students to practice on case studies of computer simulations with MATLAB, SIMULINK, Labview and Multisim; which will be very important tools for later professional practice in the industry. This course not only systematically introduces the most popular CAD language MATLAB, but also basic MATLAB programming skills, MATLAB engineering solutions, linear system CAD analysis, control system and other Simulink modeling, control system CAD methodology and material selection including controller, feedback controller, multivariable frequency design, PID controller design, optimization controller design, LQG/LTR controller design, adaptive control, fuzzy control, neural networks control, fractional-order control, optimization control and genetic algorithms optimization control.

Teaching Contents: This course is divided into the three dimensions of CAD Teaching, Research and Simulation and uses Computer Classroom 330 in the Dept. of Mechanics. This course aims to train students to practice on case studies of computer simulations with MATLAB, SIMULINK, Labview and Multisim; which are very important tools for later professional practice in the industry. This course not only systematically introduces the most popular CAD language MATLAB, but also basic MATLAB programming skills, MATLAB engineering solutions, linear system CAD analysis, control system and other Simulink modeling, control system CAD methodology and material selection including controller, feedback controller, multivariable frequency design, PID controller design, optimization controller design, LQG/LTR controller design, adaptive control, fuzzy control, neural networks control, fractional-order control, optimization control and genetic algorithms optimization control.

Teaching Method: Computer Simulation in Classroom 330, to make all the students fully understand mechanic and material system design.

Energy Conversion and System Efficiency
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: Ever since the ancient Suirens drilled wood for fire, fire has been applied for the purposes of warmth, cooking, energy conversion and even power for space travel, and has been a force for human civilization, as well as for science and technology. Humankind has learnt to convert natural resources into energy to improve the development of civilization; for example, lightning can release millions of Mev at the maximum power of 1012 w; wind, nuclear energy, biomass energy, solar energy, plant energy and petrochemical energy can all be converted into energy. This course emphasizes energy categories, application and environmental adaption, as well as a wind generator case study using a 1.8 Kw skystream system.
Course Contents: Ever since the ancient Suirens drilled wood for fire, fire has been applied for the purposes of warmth, cooking, energy conversion and even power for space travel, and has been a force for human civilization, as well as for science and technology. Humankind has learnt to convert natural resources into applied energy to improve the development of civilization; for example, lightning can release millions of Mev at the maximum power of 1012 w; wind, nuclear energy, biomass energy, solar energy, plant energy and petrochemical energy can all be converted into energy. This course emphasizes energy categories, application and environmental adaption, as well as a wind generator case study that uses a 1.8 Kw skystream system.
Teaching Method: Class Teaching with Power Point / Video watching and interpretation

Semiconductor Manufacturing Technology Introduction
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description:
Teaching Contents: The semiconductor industry has been a market favorite for the past decade; therefore, this course aims to introduce semiconductor manufacturing processes and quality testing technology, including semiconductor physical properties, semiconductor structure, integrated circuit principles, silicon wafer manufacturing, and silicon wafer acceptance testing. The contents include basic semiconductor theory, an introduction to manufacturing integration, silicon wafer manufacturing, heating manufacturing, lithography technology, basic plasma theory, ion implantation technology, etching manufacturing processes, Chemical Vapor Deposition, dielectric layer and chemical mechanical polishing manufacturing.
Teaching Method:

  • Textbook Teaching with slides
  • Students on-stage presentation-paper study

Science and Technology Law Introduction
Grade: First Year
Credits: 2
Semester Course or School Year Course: Semester Course
Course Description: Introducing basic science and technology laws to enhance students’ comprehension of laws related to science and technology. This course also focuses on research related to media and internet networks, as well as laws related to intellectual property rights, information, communication and investments.
Teaching Contents: 1. The development features and applications of modern science and technology; 2. Laws and basic principles of modern science and technology. In the meantime, to encourage students to ask questions, answer teachers’ questions and assumptions, and share personal opinions and oral presentations: 1. The concepts and advantages of Intellectual Property Rights; 2. The major items of Intellectual Property Rights; 3. Civil Laws and Criminal Laws derived from Science and Technology; 4. Legal issues derived from computers, internet networks and biotech (Genetic engineering).
Teaching method:

  • Basic concepts, research topics and research directions provided by teachers.
  • Research, reports and discussions by students.
  • Discussions and solutions to current practical

problems.
Providing students specific research content with PowerPoint slides. Mainly Chinese teaching materials and some English materials when applicable for students’ learning ability and status. Extracurricular readings according to the course timeline are required. Semester scoring is based on class participation and course comprehension.

Robotic Technology
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: Introductions to Robotic Mechanisms, Dynamics and Intelligent Control. Topics include: 2D and 3D Kinematics, Motion Programming, Robotic Arms and Mobile Robots Mechanism Theory, Multi-rigid-body Dynamics, Control System Design, Actuator, Sensor, Working Model, Human-machine Interface and Embedded System.
Teaching Contents: Introductions to Robotic Mechanisms, including Kinematics, Dynamics, Trajectory Planning, Control Theory, Programming Language and Image Processing.
Teaching Method: Mainly with slides related to textbook content; supplemented with reference articles.

Virtual Reality Technology
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: Introduction to the principles and applications of “Image Simulation and Machine Vision”, including Introduction to Image Signal Processing, Virtual Reality Simulation (2D image, Monochrome, Multicolor), Pattern Recognition, Machine Vision Feedback Control, and Robot Vision.

Teaching Contents: Introduction to the principles and applications of “Image Simulation and Machine Vision”, including Introduction to Image Signal Processing, Virtual Reality Simulation (2D image, Monochrome, Multicolor), Pattern Recognition, Machine Vision Feedback Control, and Robot Vision.
Teaching Method: Slides for introduction of principles and applications; Random quizzes for enhancement of interest and attention; Homework and tests for enhancement of learning efficiency.

Ubiquitous Computing
Grade: First Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: According to Ubiquitous Computing, computing should not be limited to any certain form of any device; on the contrary, it exists in everybody’s daily life. Along with the progress of Wireless Networks, Mobile Computing, Sensor Networks, Distributed Computing and Agent Technology, Ubiquitous Computing is becoming increasingly important nowadays. In addition to the topics mentioned above, this course also will discuss Ubiquitous Computing Applications on RFID and LBS, as well as the privacy and infrastructure issues of the Ubiquitous Environment.
Teaching Contents: According to Ubiquitous Computing, computing should not be limited to any certain form of any device; rather, it exists in everybody’s daily life. Along with the progress of Wireless Networks, Mobile Computing, Sensor Networks, Distributed Computing and Agent Technology, Ubiquitous Computing is becoming increasingly important nowadays. In addition to the topics mentioned above, this course will also discuss Ubiquitous Computing Applications on RFID and LBS, as well as the privacy and infrastructure issues of the Ubiquitous Environment.
Teaching Method: Class Teaching

Digital Logic System Design
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: Due to the prosperity of the Semiconductor and Telecommunication Industry, SOC has become a basic skill for cost reduction. Therefore, hardware description language and FPGA design knowledge and ability are becoming increasingly important for mechanical talents. This course will teach students about Digital Logic System Design Principles, from Combination Logic, Sequential Logic, and Modular Logic to the entire complicated system, as well as SOPC design and application. This course emphasizes the Design, Synthesis and Simulation of Verilog hardware description language and computer software programming tools. In addition to a theoretical introduction, the students will also get to practice a series of digital logic circuit designs with FPGA so that the students will be trained with FPGA design ability as well as the comprehension of SOPC.
Teaching Contents: Due to the prosperity of the semiconductor and telecommunication industry, SOC has become a basic skill for cost reduction. Therefore, hardware description language and FPGA design knowledge and ability are becoming increasingly important for mechanical talents. This course will teach students about digital logic system design principles, from combination logic, sequential logic, and modular logic to the entire complicated system, as well as SOPC design and application. This course emphasizes the Design, Synthesis and Simulation of Verilog hardware description language and computer software programming tools. In addition to a theoretical introduction, the students will also get to practice a series of digital logic circuit design with FPGA so that the students will be trained with FPGA design ability as well as the comprehension of SOPC.
Teaching Method:

  • Class Teaching with Slides
  • Computer operation practice

Embedded Servo Drive System
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description:

  • Control Principle Descriptions: Traditional and Intelligent controller design theory and applications on the servo system.
  • Embedded System Hardware and Software Description: general descriptions about hardware composition, operational system and application program, which are a specific software and hardware embedded system with microprocessors to integrate software into the computer hardware system. It can also be used as an independent system for the motor servo drive (with operational system and servo drive program).
  • Sensor and Amplifier Theory
  • Scalar Control and Vector Control of Stepper Motor and AC/DC Motor
  • Case Study

Teaching method:

Fluid Dynamic Control
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This Fluid Dynamic Control course aims to provide students with an advanced comprehension of Fluid Dynamic properties and the ability to apply the knowledge of Fluid Dynamic drive and control as solutions to engineering problems, as well as to integrate an electromechanical facility as an entity for engineering improvements, including

  • Introduction to Fluid Dynamic Drive and Control
  • Fluid Dynamic Drive and Control Theory
  • Electricity Drive Control
  • Mechanism Drive Control
  • Fluid Dynamic Drive Control
  • Fluid Properties and Conditions
  • Power Supply, Actuator, Control Device and Loop
  • Transmission, Piping, Maintenance and Safety
  • Proportion and Servo Control System
  • Automation Control Theoretical Application on Fluid Dynamic Drive Control
  • Fluid Dynamic Drive and Control Application on a Robot Case Study
  • Fluid Dynamic Drive and Control Application on Automation Engineering

Teaching Contents: This Fluid Dynamic Control course aims to provide students with an advanced comprehension of Fluid Dynamic properties and the ability to apply the knowledge of Fluid Dynamic drive and control as solutions to engineering problems, as well as to integrate an electromechanical facility as an entity for engineering improvements, including

  • Introduction to Fluid Dynamic Drive and Control
  • Fluid Dynamic Drive and Control Theory
  • Electricity Drive Control
  • Mechanism Drive Control
  • Fluid Dynamic Drive Control
  • Fluid Properties and Conditions
  • Power Supply, Actuator, Control Device and Loop
  • Transmission, Piping, Maintenance and Safety
  • Proportion and Servo Control System
  • Automation Control Theoretical Application on Fluid Dynamic Drive Control
  • Fluid Dynamic Drive and Control Application on a Robot Case Study
  • Fluid Dynamic Drive and Control Application on

Automation Engineering
Teaching Method:

  • Class teaching and explanations by teachers
  • Interactive discussions between teachers and students
  • Interactive discussions among students first and further discussion with teachers
  • Exam

Optomechatronic Engineering
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course introduces all the topics related to Optoelectronics, Mechanics, Electrical Engineering and Electronics. Major content includes: Optics Principles, Electro-optical Conversion Technology, Mechatronics Engineering, Optomechatronic Engineering, Micro-optics Devices, Integration System Simulation Analysis, Vision System and Laser Holographic Digital System. This course aims to cultivate more talents in the field of Optomechatronic System Engineering by broadening students’ comprehension and knowledge.

E- Automation
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: E-Automation aims to realize Automation with applications of Internet Networking and Information Technology in the fields of domestic environments, work places and industries. This course aims to teach students all the basic knowledge and technology of Networking Automation through both theoretical concepts and practical implementation and applications. Upon receiving the training of class teaching and homework, students should be able to practice in the research and
development of Automation Technology.

Electromechanical Control Design and Verification
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: This course aims to introduce the basic core principles of Control Theory and the related Control Design Theory for students to learn how to design controllers for practical systems. Contents include: Linear State Space Description, Stability, Controllability, Observability, State Feedback and State Estimation, Pole Reassignment and Prototype Matching.
Teaching Method: Textbook teaching supplemented with extracurricular teaching materials.
Teaching Contents: This course includes Mechatronic System Modeling, Control Design, Simulation and Verification Testing. System Modeling includes one-dimensional Servo System Modeling, Contact Friction Modeling, Bi-axis Robotic Arm System Modeling and Motor Drive Modeling. Whereas control design includes PID control design, adaption design, intelligent design, and Robust control design. The course will be taught in units and verified with MATLAB real time simulation. Finally, the servo motor system will be applied for the most direct verification.

Display Technology Introduction
Grade: Second Year
Credits: 2
Semester Course or School Year Course: Semester Course
Course Description: This course includes Display Technology Development, Display Technology Materials, Display Technology Principles and Manufacturing Processes, Display Device Technology, Organic Electroluminesence Devices and Display, TFT Physics, LTPS Processes, TFT LCD Drive Theory and Design and future outlooks of Display Technology. It is hoped to reveal the secret of Display Technology to students for their complete comprehension of Display Technology.
Teaching Method: Mainly by class teaching; in order to enhance learning efficiency, there will be some tests and homework in compliance with the teaching regulations of the Dept. of Mechanics.
Teaching Contents: This course includes Display Technology Development, Display Technology Materials, Display Technology Principles and Manufacturing Processes, Display Device Technology, Organic Electroluminesence Devices and Display, TFT Physics, LTPS Processes, TFT LCD Drive Theory and Design and future outlooks of Display Technology. It is hoped to reveal the secret of Display Technology to students for their complete comprehension of Display Technology.

Adaptive Intelligent Control
Grade: Second Year
Credits: 3
Semester Course or School Year Course: Semester Course
Course Description: To systematically introduce the contents of Adaptive Intelligent Control, including the concepts and properties of Neural Network Control (Single-layered Receptors, Multi-layer Feedforward Network and Dynamic System Identification), Fuzzy Control (Fuzzy Math., Fuzzy logic non-linear control), and Adaptive Control (Lyapunov function and Robust Adaptive Design), as well as the structure and applications of the combination of the three. In every chapter, the applications of Adaptive Intelligent Control on Industry, National Defense and Daily Life will be systematically illustrated.

Teaching Method: Slides for introduction of principles and applications; Random quizzes for enhancement of interest and attention; Homework and tests for enhancement of learning efficiency.

Teaching Contents: To systematically introduce the contents of Adaptive Intelligent Control, including the concepts and properties of Neural Network Control (Single-layered Receptors, Multi-layer Feedforward Network and Dynamic System Identification), Fuzzy Control (Fuzzy Math., Fuzzy logic non-linear control), and Adaptive Control (Lyapunov function and Robust Adaptive Design), as well as the structure and applications of the combination of the three. In every chapter, the applications of Adaptive Intelligent Control on Industry, National Defense and Daily Life will be systematically illustrated.