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Education

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School of Mechanical Engineering offers students hands-on learning opportunities through practice-oriented education. Engaging in creative projects and practical exercises, students bridge the gap between theory and application, fostering problem-solving skills and innovative thinking.

Undergraduate Curriculum

1st Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
General Chemistry & Experiment 1 Basic Major CHM1005 100 3
Introduction to Engineering Design Core Major COE2022 100 3
Korean Speaking and Writing General Requirements CUL0005 100 3
General Physics & Experiment 1 Basic Major CUL3011 100 3
Calculus 1 Basic Major GEN2052 100 3
Career Development Ⅰ General Requirements GEN5029 100 1
Human Leadership General Requirements SYH0001 100 2

Fall Semester

Course Name Classification Class Number Class Unit Credit
Statics Core Major COE2003 100 3
General Physics & Experiment 2 Basic Major CUL3012 100 3
Creative Design Seminar Core Major DME1001 1
Humanities and Arts for Mechanical Engineers Advanced Major DME2061 1
Computer Programming General Requirements GEN1031 100 3
Calculus 2 Basic Major GEN2053 100 3
Philosophical Understanding of Science and Technology General Requirements GEN4091 100 3
2nd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Dynamics Core Major COE2004 200 3
Engineering Mathematics 1 Basic Major COE3051 100 3
Strength of Materials 1 Core Major DME2001 200 3
Electric Engineering Advanced Major ELE3053 200 3
Techno-Business Administration (Startup Capstone Design) General Requirements GEN5026 100 3
Professional Academic English General Requirements GEN6032 100 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Engineering Mathematics 2 Basic Major COE3052 200 3
Strength of Materials 2 Core Major DME2002 200 3
Computer-Aided Geometric Modeling Core Major DME2008 200 3
Mechanical Engineering Materials Advanced Major DME2055 200 3
Introduction to Computational Engineering Advanced Major DME2059 200 3
Electronic Engineering Advanced Major ENE3063 200 3
Basic Experiments and Design for Mechanical Engineering Advanced Major MEE2010 200 3
Thermodynamics 1 Core Major MEE3001 200 3
Global Leadership General Requirements SYH0002 100 2
3rd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Engineering Mathematics 3 Basic Major COE3053 300 3
Linear Algebra and its Applications Advanced Major DME2060 300 3
Machine Elements Design Advanced Major DME3052 300 3
Numerical Design for Dynamics Advanced Major DME3060 300 3
Fieldwork 1 Advanced Major GEN6094 3
Numerical Analysis Basic Major MAT3008 300 3
Thermodynamics 2 Core Major MEE3002 300 3
Fluid Mechanics 1 Core Major MEE3003 300 3
Engineering Educational Theories on Subject Education TEA5008 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Design and Analysis of Dynamic Systems Core Major DME3003 300 3
Numerical Design for Thermodynamics Advanced Major DME3061 300 3
Numerical Design for Solid Mechanics Advanced Major DME3062 300 3
Thermo and Fluid Engineering Lab. 1 Advanced Major DME3063 300 2
Dynamics and Control Lab. 1 Advanced Major DME3064 300 2
Material and Manufacturing Lab. 1 Advanced Major DME3065 300 2
Applications of Mechanical Engineering 1 Advanced Major DME4062 300 1
Career Development Ⅱ General Requirements GEN5100 100 1
Fieldwork 2 Advanced Major GEN6095 3
Fluid Mechanics 2 Core Major MEE3004 300 3
Heat Transfer Core Major MEE4001 300 3
Manufacturing Processes Core Major PME2001 3
Mechanical Vibration Core Major PME3002 300 3
Business Leadership General Requirements SYH0003 100 2
Engineering Logic and Essay Writing Education TEA3028 2
4th Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Design Optimization Advanced Major DME3009 3
Applications of Mechanical Engineering 2 Advanced Major DME4063 400 1
Numerical Analysis and Design of Heat and Fluid Flows Advanced Major DME4064 400 3
Multidisciplinary Mechanical System Design Advanced Major DME4065 400 3
Thermo and Fluid Engineering Lab. 2 Advanced Major DME4066 300 2
Dynamics and Control Lab. 2 Advanced Major DME4067 300 2
Material and Manufacturing Lab. 2 Advanced Major DME4068 300 2
Automatic Control Advanced Major ENE4054 400 3
Measurement Engineering Advanced Major MEE4011 200 3
Mechanical Eengineering Design Project 1 Core Major MEE4085 400 3
Self-Leadership General Requirements SYH0004 100 2
Engineering Research and Guidance in Subject Matters Education TEA6008 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Mechanism Design Advanced Major APA4010 400 3
Mechanical Engineering Design Project 2 Core Major MEE4086 400 3
Graduation Requirements
Category contents
Grade Point Average
1.75 GPA or higher (including F grades)
Graduation Requirements
1. English Medium Courses: At least 5 courses 2. Completion of Graduation Thesis
Major-Specific Requirements
[Graduation Credit Requirement: At least 130 credits] Major Basic Courses: At least 27 credits Major Core Courses: At least 36 credits Major Advanced Courses: At least 24 credits General Education Requirements: 4 credits (Science and Technology/Software/ Humanities and Art/Society and The World) + 2 credits (Reading classics) + 2 credits (Global Language and Culture) + 2 credits (Future Industries & Entrepreneurship) *Completion of Required Courses
1st Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
General Chemistry & Experiment 1 Basic CHM1005 100 3
Introduction to Engineering Design Core Major COE2022 100 3
Korean Speaking and Writing Basic CUL0005 100 3
General Physics & Experiment 1 Basic CUL3011 100 3
Calculus 1 Basic GEN2052 100 3
Career Development I Basic GEN5029 100 1
Hanyang Community Service Basic GEN6044 100 1
Human Leadership Basic SYH0001 100 1

Fall Semester

Course Name Classification Class Number Class Unit Credit
Statics Core Major COE2003 100 3
General Physics & Experiment 2 Basic CUL3012 100 3
Adventure Design Convergence mechanical engineering1 Advanced Major DME1002 100 3
Introduction to Smart Manufacturing Advanced Major DME1003 100 3
Computer Programming Basic GEN1031 100 3
Calculus 2 Basic GEN2053 100 3
Philosophical Understanding of Science and Technology Basic GEN4091 100 3
2nd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Dynamics Core Major COE2004 200 3
Engineering Mathematics 1 Basic COE3051 100 3
Strength of Materials 1 Core Major DME2001 200 3
Linear Algebra and its applications Advanced Major DME2060 300 3
Adventure Design Convergence mechanical engineering2 Advanced Major DME2062 200 3
Humanities and Arts for Mechanical Engineers Advanced Major DME2061 200 1
Electronic Engineering Core Major ELE3053 200 3
Professional Academic English Basic GEN6032 100 3
Probability & Statistics Basic MAT2017 200 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Computer-Aided Geometric Modeling Core Major DME2008 200 3
Engineering Mathematics 2 Basic COE3052 200 3
Strength of Materials 2 Core Major DME2002 200 3
Introduction to Mechanical Design Core Major DME2010 200 3
Mechanical Engineering Materials Core Major DME2055 200 3
Introduction to Computational Engineering Advanced Major DME2059 200 3
Electronic Engineering Advanced Major ENE3063 200 3
Introductry Eexperiment for Mechanical Engineering Advanced Major MEE2010 200 3
Thermodynamics 1 Core Major MEE3001 200 3
Global Leadership Basic SYH0002 100 2
3rd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Engineering Mathematics 3 Basic COE3053 300 3
Machine Elements Design Core Major DME3052 300 3
Fieldwork 1 Advanced Major GEN6094 100 3
Numerical Analysis Basic MAT3008 300 3
Thermodynamics 2 Core Major MEE3002 300 3
Fluid Mechanics 1 Core Major MEE3003 300 3
Measurement Engineering Advanced Major MEE4011 200 3
Engineering Educational Theories on Subject Education TEA5008 300 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Mechanism Design Advanced Major APA4010 400 3
Design and Analysis of Dynamic Systems Advanced Major DME3003 300 3
Applications of Mechanical Engineering 1 Advanced Major DME4062 300 1
Techno-Business Administration Basic GEN5026 300 3
Career Development Ⅱ Basic GEN5100 100 1
Fieldwork 2 Advanced Major GEN6095 300 3
Fluid Mechanics 2 Core Major MEE3004 300 3
Heat Transfer Core Major MEE4001 300 3
Manufacturing Processes Core Major PME2001 200 3
Mechanical Vibration Advanced Major PME3002 300 3
Mechatronics Advanced Major PME3006 300 3
Buniness Leadership Basic SYH0003 100 2
Eengineering Logic and Essay Writing Education TEA3028 300 2
4th Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Computer-Aided Geometric Modeling Core Major DME2008 200 3
Design Optimization Advanced Major DME3009 300 3
Next Generation Vehicles Advanced Major DME4027 400 3
Machine Design and Fabrication Core Major DME4061 400 2
Applications of Mechanical Engineering 2 Advanced Major DME4063 400 1
Numerical Analysis and Design of Heat and Fluid Flows Advanced Major DME4064 400 2
Multidisciplinary Mechanical System Design Advanced Major DME4065 400 2
Micro-Processor Applications Advanced Major ENE4041 400 3
Automatic Control Core Major ENE4054 400 3
Turbo-Machinary Advanced Major MDE4002 400 3
Robot Engineering Advanced Major MEE3008 300 3
Mechanical Engineering Lab. 1 Advanced Major MEE3051 300 2
Combustion Engine Advanced Major MEE4002 400 3
Fluid Power Systems Advanced Major MEE4019 400 3
Thermal Power Plant Engineering Advanced Major MEE4037 400 3
Plant Engineering Advanced Major MEE4083 400 3
Mechanical Engineering Design Project 1 Advanced Major MEE4085 400 3
Precision Machine Engineering Advanced Major MEE4087 400 3
Failure Analysis and Design Advanced Major MME4058 400 3
SELF-LEADERSHIP Basic SYH0004 100 2
Engineering Research and Guidance in Subject Matters Education TEA6008 100 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Computational Combustion Advanced Major AUE4011 400 3
Computer Aided Design Advanced Major CSE4012 400 3
Automation of Manufacturing Systems Advanced Major DME4010 400 3
Noise Control Advanced Major DME4023 400 3
Vehicle Power System Advanced Major DME4025 400 3
Digital Forming Advanced Major DME4026 400 3
Applications of Electric Machinery Advanced Major INE4091 400 3
Mechanical Engineering Lab. 2 Advanced Major MEE3052 300 2
HVAC Advanced Major MEE4029 400 3
Vehicle Dynamics System Advanced Major MEE4035 400 3
Finite Element Analysis Advanced Major MEE4036 400 3
Introduction to Aero Space Engineering Advanced Major MEE4079 400 3
Mechanical Engineering Design Project 2 Advanced Major MEE4086 400 3
Introduction to semiconductor and microelectro mechanical system process Advanced Major MEE4088 400 3
Optical Engineering Advanced Major PME4008 400 3
Graduation Requirements
Category contents
Grade Point Average
1.75 GPA or higher (including F grades)
Graduation Requirements
1. English Medium Courses: At least 5 courses 2. IC-PBL Course (students enrolled from 2021 onward): *Students admitted as freshmen: At least 4 courses *Transfer Students: At least 2 courses 3. Completion of Graduation Thesis
Major-Specific Requirements
[Graduation Credit Requirement: At least 130 credits] Major Basic Courses: At least 30 credits Major Core/Advanced Courses: At least 42 credits 400-Level Major Courses: At least 12 credits General Education Requirements: 25 credits (common) + 3 credits (by track) Core General Education Courses: At least 10 credits Completion of Required Courses
1st Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
General Chemistry & Experiment 1 Basic CHM1005 100 4
Introduction to Engineering Design Core Major COE2022 100 3
Korean Speaking and Writing Basic CUL0005 100 3
Science with Imagination and reflection Basic CUL0201 100 2
General Physics & Experiment 1 Basic CUL3011 100 4
Calculus 1 Basic GEN2052 100 3
Career Development : Roadmap for Job Searching and Startups Basic GEN5029 100 1
Love in deed and truth1 (Hanyang Nanum) Basic SYH0001 100 2

Fall Semester

Course Name Classification Class Number Class Unit Credit
Statics Core Major COE2003 100 3
The Power of Writing in the AI Era Basic CUL0203 100 2
General Physics & Experiment 2 Basic CUL3012 100 3
Adventure Design Convergence mechanical engineering1 Advanced Major DME1002 100 3
Introduction to Smart Manufacturing Advanced Major DME1003 100 3
Creative Computing for Engineers Basic GEN1031 100 3
Calculus 2 Basic GEN2053 100 3
Philosophical Understanding of Science and Technology Basic GEN4091 100 3
2nd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Dynamics Core Major COE2004 200 3
Engineering Mathematics 1 Basic COE3051 100 3
Artificial Intelligence and Machine Learning Basic CUL1138 100 2
Strength of Materials 1 Core Major DME2001 200 3
Computer-Aided Geometric Modeling Core Major DME2008 200 3
Adventure Design Convergence mechanical engineering2 Advanced Major DME2062 200 3
Transportation Technology and the Future of Mobility Advanced Major DME2063 200 2
Application and Future of Hydrogen Mobility Industry Advanced Major DME2064 200 2
Electric Engineering Advanced Major ELE3053 200 3
Professional Academic English Basic GEN6032 100 3
Measurement Engineering Advanced Major MEE4011 200 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Engineering Mathematics 2 Basic COE3052 200 3
Strength of Materials 2 Core Major DME2002 200 3
Mechanical Engineering Materials Advanced Major DME2055 200 3
Artificial Intelligence Theory and Programming Advanced Major DME2059 200 3
Electronic Engineering Advanced Major ENE3063 200 3
Creative Programming for Engineers Basic GEN1100 100 2
Basic Experiments and Design for Mechanical Engineering Advanced Major MEE2010 200 3
Thermodynamics 1 Core Major MEE3001 200 3
Love in deed and truth2(Smart Communication) Basic SYH0002 100 2
3rd Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Engineering Mathematics 3 Basic COE3053 300 3
Linear Algebra and its applications Advanced Major DME2060 300 3
Machine Elements Design Advanced Major DME3052 300 3
Techno-Business Administration(Startup Capstone Design) Basic GEN5026 100 3
Mechanical Engineering Hanyang Undergraduate Program 1 Advanced Major HYP1008 400 1
Numerical Analysis Basic MAT3008 300 3
Thermodynamics 2 Core Major MEE3002 300 3
Fluid Mechanics 1 Core Major MEE3003 300 3

Fall Semester

Course Name Classification Class Number Class Unit Credit
Design and Analysis of Dynamic Systems Core Major DME3003 300 3
Introduction to Solid State Chemistry Advanced Major DME3013 300 3
Numerical Design for Solid Mechanics Advanced Major DME3062 300 3
Thermo and Fluid Engineering Lab. 1 Advanced Major DME3063 300 2
Dynamics and Control Lab. 1 Advanced Major DME3064 300 2
Material and Manufacturing Lab. 1 Advanced Major DME3065 300 2
Smart Manufacturing Processes Core Major DME3068 300 3
Applications of Mechanical Engineering 1 Advanced Major DME4062 300 1
Career Development II (Portfolio and Business model Creation) Basic GEN5100 100 1
Mechanical Engineering Hanyang Undergraduate Program 2 Advanced Major HYP2007 400 1
Fluid Mechanics 2 Core Major MEE3004 300 3
Heat Transfer Core Major MEE4001 300 3
Mechanical Vibration Core Major PME3002 300 3
Love in deed and truth3(Entrepreneurship) Basic SYH0003 100 2
4th Year

Spring Semester

Course Name Classification Class Number Class Unit Credit
Mobility Computational Design Advanced Major DME3060 300 3
Applications of Mechanical Engineering 2 Advanced Major DME4063 400 1
Numerical Analysis and Design of Heat and Fluid Flows Advanced Major DME4064 400 3
Thermo and Fluid Engineering Lab. 2 Advanced Major DME4066 300 2
Dynamics and Control Lab. 2 Advanced Major DME4067 300 2
Material and Manufacturing Lab. 2 Advanced Major DME4068 300 2
Fundamentals of mechanics for composite materials Advanced Major DME4070 400 3
Future mobility and smart manufacturing1 Advanced Major DME4073 400 3
Design optimization and machine learning Advanced Major DME4076 400 3
Automatic Control Advanced Major ENE4054 400 3
Mechanical Engineering Hanyang Undergraduate Program 3 Advanced Major HYP3008 400 1
Robot Engineering Advanced Major MEE3008 400 3
Mechanical Engineering Design Project 1 Core Major MEE4085 400 3
Love in deed and truth4(Practical Talent) Basic SYH0004 100 2

Fall Semester

Course Name Classification Class Number Class Unit Credit
Mechanism Design Advanced Major APA4010 400 3
Future mobility and smart manufacturing2 Advanced Major DME4074 400 3
Introduction to CAD and Digital Factory Advanced Major DME4075 400 3
Mechanical Engineering Hanyang Undergraduate Program 4 Advanced Major HYP4007 400 1
Mechanical Engineering Design Project 2 Core Major MEE4086 400 3
Introduction to semiconductor and microelectro mechanical system process Advanced Major MEE4088 400 3
Mechanical Engineering Capstone PBL Advanced Major PBL4006 400 3
Graduation Requirements
Category contents
Grade Point Average
1.75 GPA or higher (including F grades)
Graduation Requirements
1. English Medium Courses: At least 5 courses 2. IC-PBL Course: *Students admitted as freshmen: At least 4 courses *Transfer Students: At least 2 courses 3. Completion of Graduation Thesis
Major-Specific Requirements
[Graduation Credit Requirement: At least 130 credits] Major Basic Courses: At least 30 credits Major Core/Advanced Courses: At least 42 credits 400-Level Major Courses: At least 12 credits General Education Requirements: 25 credits (common) + 3 credits (by track) Core General Education Courses: At least 10 credits Completion of Required Courses

Core Impact Research Track Courses

  • Artificial Intelligence

  • Energy & Environment

  • Human Healthcare

  • Advanced Semiconductor

  • Future Mobility

  • Introduction to Smart Manufacturing

    This class will provide an introduction to the 4th Industrial Revolution and smart manufacturing. The main objective of this class is to study the importance of knowledge fusion and the basic concepts of IoT, cloud computing, big data, AI, virtual environments, and machine tools for smart manufacturing. Students can enhance their understanding and knowledge of smart manufacturing by engaging in team-based experiences and online education.

  • Introduction to CAD and Digital Factory

    To take this class, students must first complete ‘Computer-Aided Geometric Modeling’ (a 2nd-year class) to fully understand the content of this course. In the practical sessions, students will learn various functions not covered in the CATIA class (2nd-year class) but essential for industry. In the theoretical sessions, in addition to the theory, a 2–3 week seminar on the application of Engineering IT (beyond the CAD category) in industry will be provided by professionals from real industrial sites.

  • Design optimization and machine learning

    Finding the best design with the available means is the goal of design optimization. This course applies optimization techniques to engineering design problems. Emphasis will be given to the interaction between mathematical modeling including problem formulation of engineering design problems and computations. Problems will be solved using mathematical programming methods including linear programming, sequential linear programming, random search, and gradient-based search techniques.

  • Artificial Intelligence Theory and Programming

    The objective of this course is for Mechanical Engineering students to learn the fundamentals of computations which can be useful for using commercial programs or for developing special-purpose in-house programs to design products. To achieve the objective, this course consists of three components. The first is a brief introduction to the object-oriented programming. The second is an introduction to the data structure to store data in a computer so that an appropriate algorithm can be applied. The third is an introduction to algorithm design to best utilize the data stored to solve engineering problems. The fundamental theory of computation including P vs. NP will be also covered so that the development of the heuristic algorithm can be properly guided. The programming practice is an equally important part of this lecture as the lecture on theoretical issues on computation.

  • Linear Algebra and its applications

    Many modern engineering fields extensively utilize computer simulation techniques, and the majority of these solutions are based on linear algebra. Linear algebra can provide a systematic solution along with a theoretical understanding of linear systems of equations, which can be directly linked to computer calculations. Therefore, a theoretical understanding of linear algebra is essential for efficiently and quickly solving engineering problems that involve a large number of unknowns using computers. In this lecture, students will learn the concepts of linear equations and their solutions, properties of matrices and vectors, linear independence and bases, eigenvalues, and eigenvectors, as well as the geometric meanings of linear operators. Additionally, the fundamentals of incorporating these concepts into engineering problem-solving will be discussed.

  • Heat Transfer

    Heat Transfer Introduction to conduction, steady-state conduction, transient conduction; introduction to convection, forced convection for internal and external flow; analogy between heat and momentum transport; laminar free convection, empirical correlation; radiation processes and properties, radiation exchange between surfaces; heat exchanger types and analysis, compact heat exchanger.

  • Application and Future of Hydrogen Mobility Industry

    As the importance of electrification energy increases in an eco-friendly society, innovation for future mobility is required. This course aims to explore the application and future of the hydrogen mobility industry among future
    mobility through lectures by experts in related fields. The hydrogen mobility learned in this course includes hydrogen fuel cell vehicles, electric vehicles (EVs), urban air mobility (UAM), unmanned aerial vehicles (UAVs), and
    hydrogen production. It presents the appearance of a hydrogen society and the direction we are heading toward.

  • Numerical Analysis and Design of Heat and Fluid Flows

    This course consists of materials that assist students in using design projects to understand key contents of Heat Transfer and Fluid Mechanics 1 and 2, as provided by the Department of Mechanical Engineering. Students learn how to analyze heat transfer and fluid flows and design a thermal or fluid-flow system using computational fluid dynamics software that numerically solves a set of continuity equations, Navier-Stokes equations, and energy equations. In addition, they learn to extract the physical meanings of numerical results obtained from the analysis and to assign a set of governing equations and important conditions, such as initial or boundary conditions, for a given heat transfer or fluid flow. This course is designed for those who have completed Fluid Mechanics 1 and 2 and Heat Transfer.

  • Thermodynamics

    Introduction to the concept of energy and transformation of energy: the first and second laws of thermodynamics, pure substance, thermodynamic properties, conservation of energy for closed and open systems. Entropy and the second law of thermodynamics; the increase of entropy principle, entropy change of ideal gas, and adiabatic efficiency of steady-flow devices. The second law analysis of an engineering system: availability, reversible work, and irresponsibility, second law analysis of steady flow and unsteady flow systems.

  • Fluid dynamics

    This course aims to develop engineers with a deep understanding of fluid behavior, creative thinking, and comprehensive decision-making skills by applying the fundamental laws of nature to fluids and learning techniques to analyze and interpret fluid behavior. The course covers topics such as the Strain Rate Tensor, Stress Tensor, and the relationship between Stress and Strain Rate, along with the fundamentals of fluid statics and fluid kinematics. Students will learn Eulerian and Lagrangian representations of velocity and acceleration, as well as the concepts of velocity potential and derived functions. Using the Reynolds Transport Equation, the course will explore control volume analysis and derive the continuity equation, momentum equation (Navier-Stokes equation), and energy equation. Additionally, the course delves into dimensional analysis and similarity principles to equip students with practical tools for solving real-world engineering problems. Through a combination of theoretical study and practical application, this course provides students with a comprehensive understanding of fluid mechanics, from basic principles to advanced concepts, fostering creative and effective problem-solving skills in engineering contexts.

  • Adventure Design Convergence mechanical engineering

    This course is designed to develop students' problem-solving skills and foster creative thinking through IC-PBL (Industry-Coupled Problem-Based Learning), focusing on addressing real-world challenges in the digital healthcare field. Students will collaborate in interdisciplinary teams to identify and tackle unresolved problems in the digital healthcare industry. By generating their own ideas and applying engineering principles and integrative approaches, students will gain hands-on experience in problem-solving, deepening their understanding of engineering concepts and charting their career paths. The course covers foundational knowledge essential for problem-solving in digital healthcare, including the importance of integrative knowledge, creative ideation, data collection and analysis, statistical applications, and experimental design. Additional sessions tailored to students' needs and interests will also be provided. Specifically, the course incorporates practical examples related to smart medical device design, healthcare data analysis and management, and digital therapeutics development, enabling students to acquire the skills necessary to address challenges aligned with current industry trends. To support career planning, online content is also offered, helping students clarify and develop their future paths. This course aims to cultivate convergence-oriented talents equipped with engineering expertise and creative problem-solving capabilities tailored to the dynamic and evolving demands of the digital healthcare sector.

  • Electronic Engineering

    This course examines properties of semiconductors, characteristics of diodes, bipolar juction transistors, field effect transistors and basic digital elements. The class topics include fundamentals and applications of op-amp circuits and digital systems. It also covers their applications to many industrial electronic systems and kinds of equipments. Practical design techniques for electronic circuits and measurement system will be discussed.

  • Electric Engineering

    This course introduces the fundamentals of electric circuits, and the the methodologies of circuit analysis such as KVL, KCL, mesh and Nodal analysis, superposition,and the Norton and Thevenin theorems. It also covers the analysis of the AC network. AC power and dynamic responses of AC circuits will be covered. Frequency response and transient analysis will also be discussed.

  • Measurement Engineering

    General construction of measurement systems and their characteristics; principles of typical mechanical measurement and their applications: sensitivity and resolution of measurement systems; data analysis and reliability evaluation; characteristics of typical sensors for mechanical measurement: measurement of length, strain, stress, force, torque, flow, velocity, temperature, vibration, sound and surface roughness, and several experimental demonstrations.

  • Electronic Engineering

    This course examines properties of semiconductors, characteristics of diodes, bipolar juction transistors, field effect transistors and basic digital elements. The class topics include fundamentals and applications of op-amp circuits and digital systems. It also covers their applications to many industrial electronic systems and kinds of equipments. Practical design techniques for electronic circuits and measurement system will be discussed.

  • Fundamentals of mechanics for composite materials

    Since composite materials have high specific stiffness and high specific strength, they have been widely used in various structural applications such as airplanes, automobiles, infrastructures, spaceships, and machine tool structures. Especially recently, owing to increasing fuel efficiency regulations, the weight of automobiles needs to be reduced. Therefore, understanding the mechanical behaviors of anisotropic composite materials is needed. In this course, the classical laminate plate theory, composite failure models, and micro-mechanics of short fiber composite materials will be studied.

  • Smart Manufacturing Processes

    This subject deals with the technology and knowledge required to produce consumer-desired shapes, based on a fundamental understanding of the mechanical properties and structure of materials. It is largely classified into casting processes, welding processes, cutting processes, molding processes, microelectromagnetic instruments, and nano-processing. In particular, practical application cases in the semiconductor, automobile, and shipbuilding industries are introduced through videos to help students understand the machine manufacturing process from a practical perspective.

  • Introduction to semiconductor and microelectro mechanical system process

    This lecture will cover the processing techniques and design methodologies of microfabrication. We will discuss the process modules: lithography, thermal oxidation, diffusion, ion implantation, etching, thin-film deposition, epitaxy, metallization, and MEMS process integration.

  • Strength of Materials

    In order to guarantee the safety of machine structures, calculation methods for the deformation and stresses of structure members are studied. Structure modeling techniques, the definition of stresses and strains of solids, Hooke's law, the mechanics of axial and torsion members, internal force diagrams of beams, bending and shear stress formula of beams, etc, are studied in this course.

  • Robot Engineering

    This course aims to provide students with theoretical and practical knowledge of the kinematics, dynamics, and control of robotic manipulators, focusing on understanding the fundamental principles of industrial and collaborative robots and enhancing their application skills. Students will learn to derive and analyze robotic manipulator models and apply various control techniques to simulate and evaluate performance. The course covers topics such as coordinate system setup, homogeneous transformations, forward and inverse kinematics in the study of kinematics, as well as forward and inverse dynamics based on Lagrangian Dynamics in the study of dynamics. Additionally, students will explore various control techniques, including position control, PD, PID, compliance, and impedance control, while delving into performance analysis, path planning, obstacle avoidance, and practical applications. Through collaborative robot practice sessions, students will gain insights into the roles of robots in smart manufacturing environments and deepen their understanding of industrial robot principles, enhancing their ability to apply these concepts effectively. To enroll in this course, a foundational understanding of dynamics is required as a prerequisite. This course provides a comprehensive exploration of robotics, covering fundamental theories and practical applications, and equips students with the skills to utilize robotic technologies to contribute to smart manufacturing environments.

  • Mobility Computational Design

    For the design in dynamics area, computer aided analysis and design method are main subjects of this course. The basic theory required for the numerical analysis of the various dynamics system are discussed in early part of the class. A simple computer coding for a dynamic system is analyzed by the class through actual coding for a simplified mechanical system. Finally, the commercial software widely used for numerical modeling of complex mechanical systems are discussed and simulated by actual examples found in various machine systems.

  • Mechanical Vibration

    Mechanical Vibration Introduction to vibration and the free response: harmonic motion, viscous damping, energy method, stiffness. Response to harmonic excitation: harmonic excitation of undamped systems, base excitation, rotating unbalnace, Coulomb damping. General forced response: impulse response function, response to an arbitray input, response to arbitrary periodic input, transform method, response to random input. Multi-degree-of-freedom systems: eigen values and natural frequencies, modal analysis, modal analysis of the forced response. Distributed-parameter systems: vibration of a string, axial, torsional and bending vibration of rod, modal analysis and the forced response.

  • Design and Analysis of Dynamic Systems

    System Analysis Background materials for system analysis and design mathematic modeling of dynamic systems such as mechanical systems, electrical and electromechanical systems, thermal systems, hydraulic and pneumatic systems; mathematical modeling of dynamic systems in state space; linear system analysis in the time domain and frequency domain; introduction to feedback control systems.

  • Dynamics

    In this course, fundamental terminologies and concepts in dynamics are first explained. How to describe the motions of a particle and a rigid body is the next subject of lecture. To describe the motion, vector notations are employed along with coordinate systems. Then a method of drawing a free body diagram is studied. Basing on the diagram, equations of motions are derived. Force as well as motion information is obtained from the equations of motion. Two integral principles are introduced where the concepts of work, energy, impulse, and momentum are employed. Advantages of using integral principles are discussed. Finally gyroscopic effects that occur in spatial rotational motions of rigid body systems are discussed.