Department Of Smart Mobility

• 1-1,2

  CurriculumThis table demonstrates the curriculum accroding to academic year.

  1- 1	C-PROGRAMMING As the latest technologies such as Artificial Intelligence, Big Data Analysis, Block Chain are emerging, the importance of software is being emphasized. In this course, we will try to study the theory and practice of C programming language which is the basis of such software development. This course allows us to form a programming mind while cultivating programming problem solving and logical thinking skills.
  1- 1	LAW OF LIFE This course is designed to introduce students fundamental legal concepts and skills which are useful in relating various legal troubles arising in our daily life. This curriculum deals with major cases relating to civil law, commercial law, criminal law, and constitutional law.
  1- 1	PRESENTATION IN ENGLISH This course is to develop presentation skills, from writing to speaking in English, for students in the job market. Writing a cover letter and resume, and preparing for job interview and presentation, students will learn effective ways of communication and English expressions.
  1- 1	UNDERSTANDING AND APPLICATION OF CHATGPT This course aims to understand and learn how to utilize OpenAI's conversational AI model, ChatGPT. Students will acquire skills to use ChatGPT for practical applications, such as Excel, PowerPoint, Word, and computer programming. The course will be conducted online, and students will enhance their ChatGPT utilization skills by completing various practical assignments.
  1- 1	UNDERSTANDING THE PRINCIPLES OF ECONOMICS By introducing students to the very basic economic principles, this course purpose to enhance student's ability analyze and synthetically understand the mode of human behavior in its economic aspects as well as the economic system. Detailed subjects to be dealt with in this course are as follows : the native and purpose of economics, the theory of demand and supply and its applications, the theory of consumers’and firms’behavior, the theory of competitive markets, monopoly, monopolistic competition, and oligopoly, etc.
  1- 1	INTRODUCTION TO ENGINEERING DESIGN This course is designed to develop fundamental qualities of teamwork, creativity, synthetic analysis, field adaptation, and design and problem-solving skills by having students work in teams to solve open-ended problems and actively learn goal-oriented work pursuit skills.
  1- 2	ART CULTURE IN DIGITAL ERA Due to the rapid development of digital technology in the 21st century, the arts culture has been drawing attention as a major field of culture industry by expanding its development into new media and fields. This lecture examines the changes in art culture in the digital era, its impact on society, and its future prospects.
  1- 2	ASSET MANAGEMENT AND LIFE LONG FINANCIAL STATEMENTS This course is to cultivate the capability of generating profits from efficiently well-managed assets by preparing our own life-long financial statement for asset management. Specifically, in the first half of this course, students learn the basic theory of financial statements and learn how to understand an individual’s financial status (assets, liabilities, and equity). And in the second half of the class, students will learn specific asset management methods.
  1- 2	MICROSOFT EXCEL Microsoft Excel is the most widely used data management/analysis program. This lecture explains the basic use of Excel, numeric/ text/date functions, visualization tools, and data analysis methods using Excel. The lecture is conducted as an internet lecture using online videos, and students perform various practical homework using what they have learned in the lecture.
  1- 2	3D MODELING Learn advanced modeling capabilities and product development processes using Slideworks, which is widely used in the industry, to accelerate on-the-job adaptability.
  1- 2	MATLAB PROGRAMMING This course aims to learn the basic grammar of the Matlab language, a computer programming language, and to understand and program programs for various engineering problems based on it through practice. It also aims to cultivate utilization and application skills that can be applied to real-world applications and equations related to the major.
  1- 2	INTRODUCTION TO THE SMART MOBILITY You will learn about mobile computing, digital life, ubiquitous computing, multimedia utilization, and digital content utilization, as well as the areas in which mobility computing and information technology converge with other technologies and concepts.

• 2-1,2

  CurriculumThis table demonstrates the curriculum accroding to academic year.

  2- 1	PYTHON BASIC PROGRAMMING To help beginners who are learning programming for the first time easily understand Python, learn various grammars used in Python and programming languages. To this end, the basic concepts are explained in detail and various example codes and labs are also presented. Additionally, after understanding the various grammars of Python, you will learn the basic knowledge to process data using Python. Learn about techniques for handling data formats such as CSV, XML, and JSON using Python.
  2- 1	DIGITAL ELECTRONIC CIRCUIT This course is the most fundamental course for understanding digital systems, providing the theoretical background for the design of digital logic circuits and the practical knowledge required to construct them. This course is also important as a prerequisite for courses such as computer architecture and embedded system design.
  2- 1	DIGITAL SIGNAL PROCESSING The basic concepts of digital signal processing are explained, and the concepts and properties of discrete signals in linear time-invariant systems are presented. Next, frequency analysis algorithms such as fast Fourier transform for signal processing are introduced, and the concepts of digital filters and the design of IIR filters are discussed.
  2- 1	ENGINEERING MATHEMATICS This course covers ordinary differential equations and vector analysis as quantitative tools for solving engineering problems. Topics include first, second, and higher order ordinary differential equations, partial differential equations, series solutions, Laplace transforms, and the calculus of vector functions. Since this course is a tool course widely used in engineering, it is approached from an applied mathematics perspective, dealing mainly with computational methods and mathematical solutions to engineering problems rather than a strictly mathematical approach.
  2- 1	FUTURE AUTONOMOUS VEHICLE AND ALTERNATIVE ENERGY To understand future automotive technologies and prospects, you will study an overview of the automotive industry outlook, automotive and energy issues, automotive and environmental issues, and the principles of the basic structure of an automobile: engine, electrical and electronic systems, powertrain, emission control, suspension, steering, and braking and safety systems. New technologies such as hybrid vehicles, electric vehicles, fuel cell vehicles, and autonomous vehicles will be studied to develop an understanding of the prospects for future automotive technology. This course is designed to provide students with an understanding of the prospects of future automobile technology from an energy, environmental, and LCA perspective.
  2- 1	HIGH-LEVEL PROGRAMMING Understanding machine learning, a branch of artificial intelligence (AI), is very important in mechanical engineering. Since much of machine learning is coded in the Python language, this course will cover the basics of the Python language and provide examples to help you understand the principles of machine learning algorithms and how to use them through Python. You will learn the basic principles of machine learning algorithms such as regression, classification, clustering, and dimensionality reduction, and the basic principles of artificial neural networks, an algorithm for learning them. Each algorithm, including deep learning, will be implemented and familiarized through examples.
  2- 1	PRINCIPLE OF MACHINERY TOOLS Optimal design of machine tools for the production of various industrial products, principles of machine tool operation, high speed and complexity of new machine tools, high precision and high efficiency machine tools, and measurement and processing of machine tools are taught.
  2- 2	UNDERSTANDING BIG DATA ANALYSIS WITH R This course aims to cultivate students' logical and scientific thinking and data analysis ability for big data in accordance with the demands and trends of the big data era. Based on an understanding of the value and knowledge of big data, we focus on increasing the ability to analyze and utilize vast amounts of data through text mining as a data analysis methodology. In addition, as the demand for human resources using data in all fields is increasing rapidly including the public and industrial sectors, the employment competitiveness is strengthened by data analysis capabilities.
  2- 2	MECHATRONICS Students will learn the core theory, analysis techniques, and design techniques of mechatronics used in smart transportation systems. Through hands-on exercises, students will gain a general understanding of mechatronic systems such as sensors, signal processing, microprocessors, controls, and electromechanical drive systems in smart transportation systems.
  2- 2	OPERATION SYSTEM & SECURITY This course examines the composition, concepts, and functions of operating systems based on the relationship between operating systems and computer systems, and explores the fact that the OS manages the entire process of computer program processing. In addition, this course analyzes the basic behavior of various operating systems, applications, and protocols to identify threats and vulnerabilities in computer systems. Based on this, students will acquire theories and skills related to the use of various hacking techniques and tools, the principles of malicious codes such as viruses, worms, and Trojan horses, and explore ways to respond to hacking and malicious codes as information security professionals.
  2- 2	OROBABILITY & STATISTIC FOR MOBILITY This course covers the theory of probability by sets, mathematical models of probability functions, concepts of joint and conditional probability, concepts of random variables and distribution functions, density functions, expectation values, moments, and correlation functions. Based on this, students will acquire knowledge of stochastic computational processes for functions of random variables and gain the basis for applying them to the theory of random signals and stochastic processes, which are widely applied in related engineering fields.
  2- 2	STATICS Covers the fundamental concept of equilibrium in all of mechanics and its applications to the concepts of forces and moments acting on objects. It introduces the concept of vectors, forces acting on a rigid body at a point, equilibrium of a rigid body, the relationship between forces and moments, friction, and the analysis of structures subjected to forces.
  2- 2	MACHINE LEARNING & AI In this course, you will learn the basics of machine learning, the core of current generation artificial intelligence. It covers the theories and methodologies underlying machine learning and provides a week-long introduction to the subjects that will be studied in depth. Specifically, you will learn about mathematics for machine learning, basic concepts of machine learning, supervised learning models such as regression and classification models, unsupervised learning models such as clustering and dimensionality reduction techniques, ensemble models, basic machine learning methodologies and models, neural networks, and reinforcement learning. Translated with DeepL.com (free version)

• 3-1,2

  CurriculumThis table demonstrates the curriculum accroding to academic year.

  3- 1	COMPUTER ARCHITECTURES The purpose of this course is to give you an in-depth understanding of how modern digital computers work and how they are organized. First, you will learn basic digital logic circuits and data representation. After learning the transfer process of registers, the basic structure of a computer is studied. Then, assembly, a basic computer programming language, is taught and the basic control structure of a computer is examined. In addition, the principles of central processing units, arithmetic operations in computers, input/output structures, memory structures, multiprocessors, etc. are taught.
  3- 1	DATA STRUCTURE AND ALGORITHM This course aims to acquire basic knowledge of data structures and algorithms that are fundamental to software development, and to develop development skills necessary for future program development in related fields by implementing and applying these data structures and algorithms using the C language.
  3- 1	MECHANICAL VIBRATION This course aims to acquire basic theories and techniques for understanding, analyzing, and designing vibration phenomena, and to cultivate knowledge and abilities to solve vibration problems in engineering. To this end, we will cover free vibration, forced vibration, and vibration isolation techniques for one-degree-of-freedom and multi-degree-of-freedom systems. In addition, the theory and finite element analysis methods for dealing with the vibration of simple continuous systems such as beams are covered to provide the expertise needed in the industrial field.
  3- 1	THERMODYNAMICS This course aims to provide the fundamental knowledge necessary for the study and field application of thermal energy, one of the most important applications of mechanical engineering. Starting with the basic concepts of thermodynamics, including basic definitions, students will learn about the definitions of work, heat and energy, the first law of thermodynamics for closed systems and thermodynamic properties. Then, you will learn about the first law of thermodynamics and its use in open systems, the second law of thermodynamics and entropy and their application to system analysis, and the most representative applications of thermodynamics: steam power, gas power, and refrigeration cycles.
  3- 1	KINETICS OF MOBILITY A mechanism is a device designed to transmit motion or force from a power source. This course covers how to analyze the motion of a machine, types of linkages, cams, gears, and gear rows. Analyze displacement, velocity, and acceleration using analytical and diagrammatic methods. In particular, the kinematic analysis of steering systems, transmission systems, and engines in automobiles is taught to help students who are employed in the automobile and other mechanical industries.
  3- 2	COMPUTER BASED MACHINE DESIGN This course teaches students how to understand and properly combine mechanical elements based on previous knowledge of mechanics, and how to make safe designs considering strength and dynamic behavior. You will learn stress analysis for strength design, principles of fracture, fatigue design, and design methods for basic elements such as beams and columns, fastening elements such as bolts, rivets, and welds, and power transmission elements related to shafts. In addition, students will learn how to analyze power and the resulting loads in the process of power transmission from a power source and design safe mechanical elements under these loading conditions.
  3- 2	INTRODUCTION TO ELECTRICAL AND ELECTRONIC ENGINEERING This course aims to cultivate the ability to understand and analyze electricity and electronic circuits by learning the basic physical laws and characteristics of basic devices, and to master the use of various experimental equipment and instruments through practical experiments. Through this course, students will learn the basic theories of electric circuits and the ability to apply the theories to experiments, and develop the ability to plan and conduct basic experiments related to electric circuits.
  3- 2	MOBILITY DYNAMICS Review the fundamentals of Newtonian mechanics, including force and acceleration, impact and momentum, work and energy, and analytic mechanics, including degrees of freedom, constraints, the principle of virtual work, Hamilton's principle, and Lagrange's equations. Relative motion in a rotating coordinate system, the Coriolis acceleration effect, and the Foucault pendulum are covered, as well as the kinematics of rigid bodies, moments of inertia, kinematics, and spinning. It also covers gyroscope theory and applications.
  3- 2	NETWORK & COMMUNICATION SECURITY This course aims to examine security threats that compromise system and network security and learn how to respond to them in order to fulfill the purpose of information protection. To this end, you will learn about authentication, access control, security management, and utilization of security tools for system protection based on the overall contents of operating systems and networks and major technologies, and network intrusion prevention, intrusion detection and prevention, and vulnerability scanning for network protection.
  3- 2	AUTOMATIC CONTROL This course introduces the mathematical background and physical meaning of control theory, followed by modeling and analysis of systems. After examining the transient and steady-state responses of systems, the stability of various systems is discussed, and students learn about PID control techniques and controller design techniques using the root-locus method.

• 4-1,2

  CurriculumThis table demonstrates the curriculum accroding to academic year.

  4- 1	EMBEDDED SYSTEM Multimedia systems combine modern hardware for sound and image with appropriate software tools to produce integrated products that can be utilized in educational, commercial, and industrial applications. This course introduces the hardware and software technologies involved, provides an understanding of their functional aspects, and evaluates the most appropriate hardware and software technologies and standards for typical applications.
  4- 1	MOBILITY VISION Image recognition is a computer application that uses a camera as an analogy for the human eye to recognize three-dimensional objects found in the real world, or to use three-dimensional information using various scientific knowledge to improve the understanding and application of image recognition used in mobility devices.
  4- 1	SENSOR THEORY This course aims to acquire the basic concepts of sensor systems used in mechanical and electronic engineering and to learn the types and principles of sensors. You will learn to recognize sensors used in industrial, research, and real life environments and develop the ability to select appropriate sensors and build a reliable measurement environment.
  4- 1	SMART PROCEDURE DESIGN To understand the manufacturing process of various parts, students learn about process technologies and manufacturing technologies such as casting, heat treatment, plastic processing, machining, and production automation, and understand how to apply low-cost manufacturing systems and optimal production manufacturing systems. To understand the types of manufacturing systems, changes in manufacturing systems, modeling methodologies for manufacturing and supply systems, and supply chain management, and to acquire design concepts for efficient manufacturing and supply systems by selecting and presenting research topics in teams on related trends and the latest technologies.
  4- 1	ROS PROGRAMMING We aim to design a control system for autonomous driving utilizing PID control and model predictive control. We apply these control techniques to autonomous driving simulations and compare the results. The HW/SW structure of autonomous vehicles is discussed. Learn how to implement the autonomous driving perception, judgment, and control methods acquired so far based on the ROS framework.
  4- 2	INTELLIGENT SYSTEM DESIGN Two important topics of this course are 'Modern Control Systems' and 'Computational Intelligence'. The lectures cover not only the theory of control theory but also its practical applications. The first part of the course is devoted to digital control theory for control system design. Basic system verification methods will also be covered, considering the control of unknown systems. Once the concept of a modern control system has been established, the course will move on to the current trends in intelligent control systems. We will cover “computational intelligence” using “fuzzy logic”, “artificial neural networks”, and “evolutionary computation”. A course project will be assigned to validate an algorithm for solving a given problem.
  4- 2	MAN_MACHINE COLLABORATION TECHNOLOGY In this course, you will learn the fundamental theoretical content of industrial intelligence, collaborative manufacturing, and human-machine interaction, and explore representative applications of each field.
  4- 2	MOBILITY RELIABILITY ENGINEERING Reliability engineering is an interdisciplinary field with a wide range of practical applications, requiring the utilization of complex knowledge. To this end, students should be able to understand various theories such as reliability concepts, reliability measures, data interpretation, life distributions, and bathtub curves, and systematically learn and utilize practical methods such as failure modes and effects, reliability design, prediction, and testing.
  4- 2	SMART MOBILITY SEMINAR Participation in seminars inviting external experts in the field of smart mobility convergence in the U.S. and tours to leading companies and research centers in the field.