Automotive Electronic Control Major
MSC (10 courses)
Calculus, Statistics for Big Data Analytics, Automotive Physics I, II, Computer Programming, Designing Computer 3D I, II, Basic Software Engineering, Linear Algebra, Automotive Mathematics
| Course | Description | Prerequisite |
|---|---|---|
| Calculus | This course is one of the most basic subjects for developing mathematical ability for engineers. In order to cultivate logical thoughts and qualities and to cultivate creativity, we focus on the foundations by understanding and acquiring the most basic concepts of mathematics. | |
| Statistics for Big Data Analytics | It aims to cultivate the ability to utilize the concepts and techniques in various application fields by teaching basic concepts of probabilities necessary for automotive engineering classes and statistical reasoning methods necessary for big data analysis. | Calculus, Linear Algebra |
| Automotive Physics I | The course focuses on the fundamentals of physics for the automotive engineering. Especially, the goal is understanding of natural phenomena and laws and understanding of mathematical interpretation as the basic process of physics that is the basis of automobile engineering. To educate students how to visualize physical phenomena, we use simulation software such as Mathematica or Matlab to simulate the theory. | |
| Automotive Physics II | ||
| Computer Programming | Through the C language, we learn basic grammar of computer programming and basic knowledge of computer structure, and learn how to solve a given problem using a programming language. In this course, the essential program theory and practical program methods of C language are practiced and practiced concurrently. Students will learn how to understand the logic of the program by using flow chart based visual programming tools, and learn basic knowledge of C language programming and practice to develop basic knowledge as a programmer. | |
| Designing Computer 3D I | This course is a basic course in design. We will use SW to model the 3D shape and practice SW. We plan to design product using direct CAD and output it to 3D printer for excellent design works and use it as teaching materials. | |
| Designing Computer 3D II | ||
| Basic Software Engineering | This course covers how to implement a full-fledged programming language such as C, Python, and other visual-based languages to implement computer software. | Computer Programming |
| Linear Algebra | The course aims to understand the fundamental concepts of matrices and vectors essential to the fourth industrial revolution course such as artificial intelligence and big data. Students will learn the principles of vector space, matrix and vector operation, and linear transformation. | Calculus |
| Automotive Mathematics | Basic differential, fundamental integral, Taylor series, differential equation basis, Laplace transform, Z transform, Fourier series, vector field, etc. Mathematics for the 3rd and 4th Major Course. |
Calculus |
4th Industrial Revolution Basic (3 courses)
Introduction to Artificial Intelligence, Computational Thinking, Programming for Artificial Intelligence
| Course | Description | Prerequisite |
|---|---|---|
| Introduction to Artificial Intelligence | This course deals with the basic knowledge of artificial intelligence and pattern recognition. | Computer Programming, Calculus, Statistics for Big Data Analytics, Linear Algebra |
| Computational Thinking | This course aims to provide the ability to solve problems in various fields efficiently and systematically through computing thinking. Especially, the main interesting is Python programming techniques in this course. Based on this, we will develop various posture problem solving abilities through simple control of EV3 and other machine learning. | Basic Software Engineering |
| Programming for Artificial Intelligence | The course deals with implementations of SW using artificial intelligence and pattern recognition knowledge learned from the introduction to AI. | Introduction to Artificial Intelligence |
4th Industrial Revolution Major (8 courses)
Automotive Engineering, Intelligent Vehicle, Instrumentation and Analysis, Automatic Control, Deep Learning, Automotive Mechatronics, Reinforcement Learning, Autonomous Deriving Sensor
| Course | Description | Prerequisite |
|---|---|---|
| Future Automotive Engineering | This course aims to understand the latest technology trends related to future automobiles, such as electric cars and autonomous vehicles, based on existing knowledge of automotive engineering, and to understand the related technology and concepts. | Automotive Engineering |
| Intelligent Vehicle | The course aims to understand the latest technology trends related to intelligent automobile (smart car) such as autonomous driving and ADAS system, and to develop ability to design system packaging of intelligent automobile. | Automotive Engineering, Future Automotive Engineering |
| Instrumentation and Analysis | The course introduces instrumentation principle and measurement system, various transducers, amplifiers, filters, data acquisition and analysis, PC application measurement theory. | |
| Automatic Control | The purpose of the course is to understand the fundamental concepts of frequency response, system analysis, etc., and to understand basic control theory such as PID control. | Automotive Mathematics, Linear Algebra |
| Deep Learning | It deals with deep running as flowers of artificial intelligence. Convolutional Neural Network and Recursive Neural Network are mainly concerned. | Computational Thinking, Programming for Artificial Intelligence |
| Automotive Mechatronics | This course aims to understand the basic concepts of mechatronics which is the basis of intelligent automobile and robot industry through theory and simple practice. | Automotive Physics II, Electromagnetics I,II |
| Reinforcement Learning | Students will learn Deep Q-learning and various reinforcement learning algorithms that can solve problems using in-depth neural networks. | Deep Learning, Computational Thinking |
| Autonomous Deriving Sensor | It aims to understand the theoretical knowledge of sensors related to autonomous navigation such as laser scanner, radar, optic, sonar sensor and to understand the latest technology trend. | Intelligent Vehicle |
Automotive Engineering Basic (22 courses)
Basic Experiment of Vehicle I,II, Automotive Engineering Practice I,II, Electromagnetics I,II, Electrical and electronic circuits I,II, Basic Experiment for Electrical and electronic, Mechanical design, Automotive Dynamics, Electric Machinery, Power Electronics I,II, Automotive Thermal Engineering, Automotive Motor, Vehicle Structure, Internship I,II CAE, NVH
| Course | Description | Prerequisite |
|---|---|---|
| Basic Experiment of Vehicle I | This course allows to know progressively from tool usage to engine, electric, and chassis parts for automobile basis. | |
| Basic Experiment of Vehicle II | ||
| Automotive Engineering Practice I | It aims to develop capacity through hands-on practice through theoretical content by understanding the basic structure and principles of automobiles through the theory and practical training necessary for structural and maneuvering in automobiles where maneuverability is essential, and developing automobile culture that has the ability to adapt to field work. | |
| Automotive Engineering Practice II | ||
| Automotive Engineering | This course aims to develop basic knowledge about automobile engineering and help to understand overall automobile majors. This lecture introduces the theoretical lectures on automobile engineering and the actual automobile manufacturing process. | |
| Electromagnetics I | Electromagnetism is a study of electronic phenomena such as electric phenomena, magnetic phenomena, and electric and magnetic interactions. In this lecture, students will learn theoretical aspects on vector, electrostatic field, conductor system and capacitance, dielectric, current, static magnetic field, magnetic phenomenon, magnetic body, magnetic circuit, electromagnetic induction law and inductance. | Calculus, Linear Algebra |
| Electromagnetics II | ||
| Electrical and electronic circuits I | This course deals with circuit-related physical units such as current, voltage, power, etc., basic knowledge of circuit components, and various theoretical knowledge necessary to construct and analyze circuits. | Calculus |
| Electrical and electronic circuits II | ||
| Basic Experiment for Electrical and electronic | Simulation of various electrical and electronic circuits using MultiSIM, which is an electric and electronic circuit simulator, was carried out, and based on this, basic experiments were carried out directly through this course so that understanding of the basic circuits of electric and electronic devices could be improved. | Electrical and electronic circuits I,II |
| Electric Machinery | Electric devices include electric motors that convert electrical energy into mechanical energy, or mechanical energy into electrical energy, and transformers that convert the magnitude of the voltage and current of the generator and electrical energy. In this lecture, we consider theoretical lectures and exercises on transformers, dc motors, induction motors, synchronous motors, permanent magnet motors and reluctance motors are carried out. | Automotive Physics I,II, Calculus, Electromagnetics I,II, Electrical and electronic circuits I,II |
| Power Electronics I | Power electronics is a field that converts and controls electric power by power semiconductor switching device. As a typical application field, there is a remarkable development such as general industrial field, transportation transportation field, electric power field, household electric appliance field. Here, as faster switching devices are developed, it is anticipated that applications will be increased in a wider range | Electrical and electronic circuits I,II |
| Power Electronics II | Electric Machinery, Electrical and electronic circuits I,II | |
| Mechanical design | It deals with systems in static equilibrium, and deals with statics such as force and moment, center and center equilibrium and equilibrium equations. | Automotive Physics I |
| Automotive Dynamics | This course aims to understand kinematics basic theory, understand mathematical / physical modeling of vehicle longitudinal, lateral and vertical motions. | Automotive Physics I,II, Automotive Engineering |
| Automotive Thermal Engineering | We learn basic knowledge related to thermodynamics and heat transfer in automobiles such as internal combustion engines and air conditioning. | Automotive Physics I, Automotive Engineering |
| Automotive Motor | Theoretical lectures on PMSM for electric vehicle traction, induction motor and ISG, and motor design and analysis using numerical analysis tools such as ANSYS. | Automotive Physics I,II, Calculus, Electromagnetics I,II, Electrical and electronic circuits I,II |
| Vehicle Structure | In order to design the body structure, the theory about the stress acting on the solid and the phenomenon related to the stress is studied. Analyze stress and strain, force and moment, and stress distribution. | Calculus, Automotive Physics I, Mechanical design |
| CAE | Theory and practice of finite element analysis used in engineering analysis are progressed. By understanding the numerical techniques called the finite element method, we can cultivate the ability to use commercial SW. | Calculus, Vehicle Structure |
| NVH | Theory and practice of vibration phenomenon will be progressed. To do this, we study theories of free vibration, forced vibration, and simple / multi-guided systems. | Linear Algebra, Automotive Dynamics |
| Internship I | Recognize the importance of personal role in the company, we conduct company's important task execution process and harmonious in-house activity training with colleagues | |
| Internship II |