Energy & Mass Transfer

The energy can be transferred by interactions of a system with its surroundings. The phenomena of heat and mass transfer process and the technique of supply and control should be understood. In this lecture fundamental concepts and principles of heat and mass transfer process will be taught. The knowledge of heat and transfer is applied to solve problems relevant to the real energy system. The analytical and numerical solution of the temperature distribution and heat and mass transfer rate will be discussed.

Electrical and Electronics Lab

This course provides 10 labs and semiconductor device theory lectures for more understanding on the basic electrical circuits. The topics covered in this course includes the nodal/mesh analysis, equivalent circuits, relay switch, transient response of RLC circuits, AC steady state analysis, op-amp and so on. As well, this course introduces the usages of various instruments which are often used for the control circuit design and analysis.

Mechatronics Research & Start-up Planning

Embedded Controller

The objectives of this course are to learn the basics of embedded controller hardware and to learn programming a microcontroller unit for an engineering application. This course has labs and tutorials to help students use an MCU to design an embedded digital system. For experiment, ARM Cortex-M4 based STM32F4 soc board is used for firmware programming of logic & arithmetic, memory control, interrupts, GPIO, ADC/DAC, timers, motor control, sensor acquisition and other functions of MCUs.

Smart Sensors and IoT Devices

This course intends to give a comprehensive understanding to sensor technologies for controlling mechatronic systems. General knowledge about sensors, signal processing, and PC interface will be studied. Mechatronics components with emphasis on widely used sensor and actuator types will be studied and laboratory experiments will be performed.

Power Electronics

Introduction to the power electronics circuits; design, analysis, and operation of single-phase power conversion from AC to DC, DC to DC, DC to AC and maximizing the power from photovoltaics(PV).

e-Mobility Powertrain

Image Processing with Deep Learning

Deep learning innovations are driving breakthroughs in the field of computer vision for automotive, robotics and science. Thus, the aim of this course is to introduce students of computer vision starting from basics of digital image processing and then turning to modern deep learning models, specifically convolutional neural networks(CNN), for image enhancement and analysis applications on Energy/Environment, Autonomous Vehicle/Robots, and Machine Vision. Students will learn how to build CNN(Convolutional Neural Network) based object detection model for vehicle, pedestrian and other target objects. Also, they will learn how to apply pre-processing and post-processing for CNN model input/output, such as calibration, filtering, image scaling, image augmentation using fundamental methods of computer vision.
Demo Video for previous labs →

Mechatronics Integration Project

CAE Mechanical Design Analysis

As the use of CAE in the industrial field continues to increase, there is a trend to demand design analysis (simulation) results that ensure product safety. In this course, students will learn the concept and structure of the program for the interpretation of the finite element method(FEM) and the derivation process of the stiffness matrix equation. By analyzing problems such as solid mechanics, vibration, and thermal stress due to heat transfer through commercial programs, we establish a sound understanding of mechanical structural mechanics. In addition to the basic problems in the textbook, we carry out projects to find and analyze problems in the industrial field.

Basic Engineering Mathematics

Battery Energy Technology

Optimal Control and Reinforcement Learning

Plant Engineering

Power System

Analysis of power systems, including renewable energy sources, transmission lines, power flow, transformers, transmission and distribution systems.

Digital Control and Signal Processing