Cultivate the analytical ability of the forces acting on the mechanical system. After laying the foundations of vector analysis, force analysis and moment analysis, the method of modeling the support of the structure by drawing a free object diagram, is studied for the method of modeling the support of the structure, the external force (load), the counter force calculation, the resistance calculation, and the friction force. This course gives an experience in the design of the force analysis and the associated engineering system through the design tasks. Finally, students will learn about the center of gravity, area inertia, and mass inertial moment related to the shape of the object.
Electric Circuit Lab
(Spring)
This course provides the several labs for more understanding on the basic control circuit theory. The topics covered in this course includes the nodal/mesh analysis, equivalent circuits, transient response of RLC circuits, AC steady state analysis, opamp and so on. As well, this course introduces the usages of various instruments which are often used for the control circuit design and analysis.
Heat Transfer
(Spring)
The energy can be transferred by interactions of a system with its surroundings. These interactions are called work and heat. When the work and heat is utilized to operate the system, enough energy is required to operate the system properly. Therefore, the phenomena of heat transfer process and the technique of supply and control of the work and heat should be understood. In this lecture fundamental concepts and principles of heat transfer process will be taught. The knowledge of heat transfer is applied to solve problems relevant to real system. The analytical and numerical solution of the temperature distribution and heat transfer rate will be discussed. The three main heat transfer mode, that is conduction, convection, and radiation, will be explained. The heat exchanger which is the key component of the heat transfer system will be treated.
Power Electronics
(Spring)
Introduction to the power electronic systems, power controls, switching circuits; power converter topologies and magnetic components including AC/DC, DC/DC, converters and their applications.
Degital Control and Signal Processing
(Spring)
This course aims to learn about the fundamental theories of digital control and signal processing. Topics include mathematical properties of discrete-time random signals, sampling theorem, signal conversions, discrete-time linear time invariant system, digital filter design, frequency domain analysis using FFT and z-transform, adaptive filtering, and digital control system. In the later part of this course, the students will apply the relevant theories for the project of autonomous ground robot control.
Bionic and Biological System Engineering
(Spring)
Recently, various attempts have been tried to interpret human body as a system and to analyze its principle and apply it to other fields. The objective of this course is to learn how to apply various engineering knowledge such as mechanics, linear algebra, electrical circuits, control engineering, signal processing, etc. to biomechanics. By taking this course, students will be able to develop basic concepts of biological analysis, understand biological systems through application examples, and simulate through biological modeling. This course consists of lectures (1 hour) and laboratory exercises (2 hours) every week and conducts team-based laboratory exercises and two mini projects.
Thermal Hydraulic Experiment
(Fall)
This subject learns the experimental methodology, the use of measuring devices and experimental equipment, the data analysis method, and the preparation of experimental report to conduct actual experiments around the field of thermoplastics, and directly verify basic knowledge related to mechanical engineering by experimenting.
Measurement and Instrumentation
(Fall)
This course intends to give an comprehensive understanding to sensor technologies for controlling mechatronic systems. General knowledge about sensors, signal processing, and PC interface will be studied. Mechatronics components with emphasize on widely used sensor and actuator types will be studied and laboratory experiments will be performed.
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- Fundamental Sensor Technologies
- Component Interconnection and Signal Conditioning
- Performance Analysis of Instrumentation System
- Principles of Analog/Digital Sensors and Transducers
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- Experiments
- PC interface using DAQ: analog, digital I/O, sampling rate control
- Sensor Experiments and Analysis
- Construction of Measurement System
Mechanical Engineering Experiments
(Fall)
Students will be able to integrate the knowledge of mathematics, physics, and computers to apply the knowledge to mechanical engineering. In addition, Students will be able to plan and promote proper mechanical engineering experiments and draw conclusions from engineering perspectives based on the results of the experiments.
CAE Mechanical Design Analysis
(Spring)
Understand the concept of the finite element method(FEM) and structure of FEM software. Students will solve mechanics problems (solid mechanics, thermal stress, mechanical vibration, collision problems) with FEM and learn how to use FEM for industrial applications.
Combustion and Engine
(Spring)
This course covers basic engine cycles, thermal chemistry applied to engine fuel, inhalation made sequentially in the engine according to air-fuel, cylinder motion, combustion, exhaust and emissions, and heat transfer, friction, lubrication, etc. Students will do a project on the next generation of power sources for cars.
Energy Plant Engineering
(Fall)
This subject will learn about power generation plants using renewable energy such as hydraulic, wind, geothermal and solar power, as well as fossil and nuclear energy, as well as oil/ petrochemical plants and seawater desalination plants. It also learns about related plant engineering and increases understanding of practice through team-specific projects.
Modern Control Theory and Application
(Fall)
This course aims to cover the modern control theory for dynamical systems. To do this, systematic approaches to design and analysis the multi-variable feedback control system are introduced. As a practical design example, the guidance and control of unmanned autonomous vehicles is taken into consideration. Topics include pole assignment, optimal control, and state estimation techniques which can be applied for industry. Through this course, students can practice to develop their own modern controller design and analysis tools using MATLAB and SIMULINK. In order to help students' understanding on modern control systems, a design project will be given.
Human Robotics
(Fall)
This lecture aims to develop robot system design capabilities by understanding the technology of intelligent mobile robots and collaborative robots applied with human motion-sensitivity mechanisms by the nervous system. This class will carry out two top-down projects and provide relevant lectures.
Through the project, students use robot kits and simulation tools to design and manufacture intelligent robots in stages and to design concepts for human-robot cooperative systems.
1) Intelligent Mobile Robot Project: Design of autonomous robot with sensor fusion and AI technology.
2) Human-Robot Collaboration Project: Design a cooperative robot for use in the field of rehabilitation.
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- The project targets for two semester-long works by a small group of students. In Capstone Design1, Students work to derive a final design that will be used in Capstone Design2. Students perform experiments and simulations for better implementing their designs. Two students are recommended to join to form a team. Occasionally, three students can construct a team if their advising professor allows.
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- Students can select topics by themselves or obtain topics from the advising professor. Once the topic is chosen and the team is constructed, students do literature survey and parts survey for their project. The team generates a project proposal under guidance of the advising professor and finally come up with the final design report at the end of the semester.
Post-Capstone
(Spring&Fall)
It is a subject of deep individual research jointly led by business experts and university professors to improve current business understanding and on-site development skills. Individual research to resolve pending issues of the enterprise is conducted under joint guidance by the corporate-director, and research can be carried out on site upon request of the enterprise. Further, it can be operated as an intensive individual study to modify and supplement the results developed through the capstone curriculum of the general engineering complex I/II.
Electric Circuit
(Unconfirmed)
It is possible to clearly understand the electrical characteristics and circuit analysis methods for the elements used primarily in electrical circuits. Based on this, the ability to analyze and design various electrical circuits is developed. In this course, we will learn about the direct current and alternating current circuit analysis techniques, the transient response of electrical circuits, and the frequency characteristics.
Digital Logic Design using FPGA
(Unconfrimed)
This course aims to develop students' knowledge and expertise in digital systems/logic design with HDL(Hardware Description Language) and to present techniques from initial specifications down to final implementations with FPGA for rapid prototyping. This course will teach students the use of the Verilog language for representation of digital signals, use of IEEE standard logic package/library, design description, design of arithmetic, combinational, and synchronous sequential circuits. In this course, students will conduct experiments to learn the complete flow of digital systems design using FPGA(Xilinx) from design entry, implementation/verification, to download bit stream.
Machine Vision
(Unconfrimed)
This course is an introductory course of machine vision. Machine Vision is an introductory course that covers core principles of image processing and object detection and tracking to provide useful visual information for Energy/Environment, Autonomous Vehicle, Robots, and Automation systems. This course is composed of 2 parts.
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- Part1 : Basic Image Processing
basics of image formation, image filtering, feature recognition, object segmentation and feature tracking. It will also introduce some machine vision applications such as road lane detection and face detection for autonomous vehicles and robots.
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- Part 2: Deep learning application
you will learn how to detect and segment an object by using Deep Learning algorithm. In the course, you will learn how to build a visual sensor system for
- Road lane detection system
- Vehicle detection
- Face, Person detection - Object Tracking
- Defect object detection and more
Students are required to build his/her own program in C/C++ and write lab reports for various assignments given in class, which must be submitted individually.
Numerical Analysis
(Unconfirmed)
This course covers the fundamentals of numerical methods(NM), which is solving mathematical/engineering problems in a digital processor such as a PC or an MCU. Through this course, students will learn important NM algorithms to solve for linear systems, non-linear systems, interpolation, differentiation, integration, and ordinary differential equations. Also, students will enhance their programming skills by implementing the NM algorithms in C/C++. Students will create their own NM(numerical method) library in C/C++to solve some engineering problems in Thermal/Dynamics/VIbration Analysis, Circuit Anaylsis, Control Design and more.
Power System
(Unconfirmed)
Analysis of power systems, including renewable energy sources, transmission lines, power flow, transformers, transmission and distribution systems, synchronous generators, stability, short-circuit faults, and system protection.
Integrated Design-production Engineering
(Unconfrimed)
This course is a lecture on product design, process design, process control, manufacturing technology, etc., which is the basic quality that engineers in the manufacturing industry should have, and introduces productivity increase and cost reduction that incorporate ICT and IoT technologies, which are the latest topics of the manufacturing industry. In addition, students will discuss the engineering ethics that manufacturing workers should have. Through this subject, the goal is to develop basic skills to work as a manufacturing engineer by understanding the basic understanding of the manufacturing industry from product design to production management.
Embedded Controller 1
(Unconfrimed)
The overall objective is to learn the overall architecture of CPU and memory and learn how to program a microcontroller for an engineering application. This course covers basic microprocessor concepts and software programming. It will provide labs and tutorials to help students learn how to apply an MCU to design an embedded system. Software is developed in ARM Cortex-M assembly and C; most labs will run on an STM32F4 soc board. Topics include number systems, logic & arithmetic, memory control, interrupts, GPIO, ADC/DAC, timers, motor control, sensor acquisition and more.
Field Research & Development
(Unconfirmed)
(will be updated soon)
