Education
Curriculum
Mandatory General Courses
| Course No. | Course Name | Lecture:Lab.:Credit(Assignment) | Semester | Note |
| CC010 | Special Lecture on Leadership | 1 : 0 : 0 | Fall | |
| CC020 | Ethics and Safety Ⅰ | 1AU | Spring∙Fall | |
| CC500 | Scientific Writing | 3 : 0 : 3 (4) | Spring∙Fall | |
| CC510 | Introduction to Computer Application | 2 : 3 : 3 (10) | Spring∙Fall | |
| CC511 | Probability and Statistics | 2 : 3 : 3 (6) | Spring∙Fall | |
| CC512 | Introduction to Materials Science and Engineering | 3 : 0 : 3 (3) | Spring∙Fall | |
| CC513 | Engineering Economy and Cost Analysis | 3 : 0 : 3 (6) | Fall | ○ |
| CC522 | Introduction to Instruments | 2 : 3 : 3 (8) | Fall | |
| CC530 | Entrepreneurship and Business Strategies | 3 : 0 : 3 (6) | Fall | ○ |
| CC531 | Patent Analysis and Invention Disclosure | 3 : 0 : 3 (6) | Spring∙Fall | ○ |
| CC532 | Collaborative System Design and Engineering | 4 : 0 : 4 | Spring | |
| CC533 | Entrepreneurial Leadership | 3 : 0 : 3 | Spring∙Fall | ○ |
Mandatory Major Courses
| Course No. | Course Name | Lecture; Lab.; Credit (Assignment) | Semester | Mutual Recognition of Undergraduate and Graduate Programs | Graduate School of Railroad Specialization |
| MO500 | Introduction to Mobility Systems | 3 : 0 : 3 | Fall | ○ | |
| MO501 | Modeling and Control of Electric Propulsion Systems | 3 : 3 : 4 | Fall | ○ | ○ |
| MO502 | Intelligent Transportation System | 3 : 3 : 4 | Fall | ○ | ○ |
| MO505 | Computational Analysis and Design for Electric Vehicle | 3 : 3 : 4 | Spring | ○ | ○ |
| MO506 | Fundamentals of Vehicular Electric Systems | 3 : 0 : 3 | Fall | ○ | ○ |
| MO507 | Transportation Infrastructure systems | 3 : 0 : 3 | Spring | ○ | ○ |
| MO508 | Navigation and Sensing Systems | 3 : 0 : 3 | Fall | ○ | ○ |
Elective Courses
| Course No. | Course Name | Lecture:Lab:Credit (Assignment) | Semester | Track | Note |
| MO.50000 | Introduction to Mobility Systems | 3:0:3 | Fall | - | |
| MO.50012 | Artificial Intelligence for Autonomous Driving | 3:1:3 | Fall | I | ◎ |
| MO.50101 | Introduction to Autonomous Vehicles | 3:0:3 | Fall | I | ◎ |
| MO.50124 | Navigation and Sensing Systems | 3:0:3 | Spring | I | ◎ |
| MO.50125 | The Principles and Applications of the Kalman Filter | 3:0:3 | Spring | I | ◎ |
| MO.50181 | Computational Analysis and Design for Mobility Systems | 3:3:4 | Spring | E | ◎ |
| MO.50182 | AI-based Mobility Design | 3:0:3 | Fall | I | ◎ |
| MO.50211 | Modeling and Control of Electric Propulsion Systems | 3:3:4 | Spring | E | ◎ |
| MO.50234 | Introduction to Railway System Engineering | 3:0:3 | Fall | E | |
| MO.50251 | Fundamentals of Vehicular Electric Systems | 3:0:3 | Fall | E | ◎ |
| MO.50253 | Electric Propulsion System: Motor and Inverter | 3:0:3 | Fall | E | |
| MO.50263 | Battery Systems: Battery Management System | 3:0:3 | Fall | E | |
| MO.50301 | Smart Mobility Systems | 3:3:4 | Fall | S | ◎ |
| MO.50324 | Transportation Infrastructure Systems | 3:0:3 | Spring | I | ◎ |
| MO.50356 | Public Transportation Systems | 3:0:3 | Spring | S | ◎ |
| MO.50365 | Road Safety & Human Factor | 3:0:3 | Spring | S | |
| MO.60175 | Wireless Link Analysis | 3:0:3 | Fall | I | |
| MO.60256 | Wireless Power Transfer System | 3:0:3 | Spring | E | |
| MO.60371 | Introduction to Transportation Economics | 3:0:3 | Spring | S | |
| MO.89900 | Special Topics on Intelligent Transportation Systems | 3:0:3 | Spring or Fall | S | |
| MO.89901 | Special Topics in Logistics | 3:0:3 | Spring or Fall | S | |
| MO.89902 | Special Topics on Electric Propulsion Systems | 3:0:3 | Spring or Fall | E | |
| MO.89903 | Special Topics on Railway Vehicle Technology | 3:0:3 | Spring or Fall | E | |
| MO.89904 | Special Topics in Ocean Transportation | 3:0:3 | Spring or Fall | E | |
| MO.89905 | Special Topics on Unmanned Autonomous Systems | 3:0:3 | Spring or Fall | I |
Research Courses
| Course No. | Course Name | Lecture:Lab:Credit (Assignment) | Semester | Track | Note |
| MO.92100 | MS Thesis | 0:0:0 | Spring or Fall | ||
| MO.93100 | Seminar(MS) | 1:0:1 | Spring or Fall | ||
| MO.92200 | Ph.D Thesis | 0:0:0 | Spring or Fall | ||
| MO.93200 | Seminar(Ph.D) | 1:0:1 | Spring or Fall |
Description of Courses
MO.50000 Introduction to Mobility Systems
This course is mainly to enhance understanding on the mobility technology, and the future vehicle technology. We study the overview of sustainable transportation technology including road and railways, aviation, shipping, walking and cycling, freight, and ports and airports etc. In addition, the current status and future about the mobility technology, sustainable potential and risk analysis, and policy and its measures will be discussed.
MO.50012 Artificial Intelligence for Autonomous Driving
Reinforcement learning (RL) is used to find the optimal policy for robust self-driving in various environments. On the other hand, imitation learning (IL) is used to develop a self-driving policy that is stable and performs similarly to the human driver in restricted environments. In this course, we study the principles of RL and IL as the artificial intelligence for self-driving, develop python codes, and apply them to real mini cars to run.
MO.50101 Introduction to Autonomous Vehicles
The course will introduce the key ideas and theories behind autonomous vehicle technologies. The course will cover all the key software algorithms of autonomous vehicle technologies such as perception, Simultaneous Localization and Mapping (SLAM), decision/planning, and vehicle control. In addition, recent technological developments of autonomous road vehicles will also be introduced. Upon completion of this course, students should be able to follow the literature on these subjects, perform independent research, and carry out experiments in this field.
MO.50124 Navigation and Sensing Systems
This course introduces navigation and localization technologies. It also covers the theoretical foundations of sensor fusion algorithms and further explores how fusion algorithms integrate diverse sensor information for applications in autonomous flight/drive and smart mobility systems.
MO.50125 The Principles and Applications of the Kalman Filter
The aim of this course is to provide a thorough introduction to the Kalman filter technique that is an essential tool for state estimation and optimal control. In addition, this course covers the applications of the Kalman filter for linear and nonlinear systems such as extended Kalman filter, unscented Kalman filter, robust Kalman filter, multi-model Kalman filter, and particle filter
MO.50181 Computational Analysis and Design for Mobility Systems
This course covers fundamental principles of computational analysis and design for the systematic and efficient development of emerging mobility systems. This course also provides case studies which involve multidisciplinary analysis such as structural analysis and thermal analysis in order to help students to understand the course.
MO.50182 AI-based Mobility Design
This course introduces artificial intelligence(AI) technologies used to design mobility and engineering systems. Students can learn the essential theories of deep learning for engineering design and use computer programming to apply them. In addition, they will learn AI-based generative design process, in which AI can create, evaluate, and recommend designs, and discuss the future of virtual product development technology. Finally, students conduct and present their mobility design projects themselves.
MO.50211 Modeling and Control of Electric Propulsion Systems
This course is designed to introduce students to the state-of-the-art electrified powertrain technologies based on modeling, dynamics, and controls approach. The course focuses on the system-level design and control problems of hybrid electric vehicles. We will introduce the basic concepts, terminology, and sole engineering problems of hybrid vehicles using system dynamics & controls approaches.
MO.50234 Introduction to Railway System Engineering
This course introduces engineering green railroad technologies based on the understanding of basic railroad engineering. This course also provides each student a chance of conduicting in-depth research on the specific topics related with railroad engineering and presenting it.
MO.50251 Fundamentals of Vehicular Electric Systems
This course introduces the basic concept and operational principle of electronic circuits, electromagnetics and semiconductors and applications to motor, sensor, communication system, and wireless charging systems are explained based on the fundamentals to enhance the design ability for converging vehicle and transportation technology.
MO.50253 Electric Propulsion System: Motor and Inverter
This course introduces power electronics technology for implementing electric powertrain of electric vehicle. Particularly, energy storage, dc motor, ac maotor, three-phase inverter, and motor control are covered in this lecture. Simulation is to be carried out to enhance the understanding of operation principles of electric powertrain.
MO.50263 Battery Systems: Battery Management System
This course introduces the principles and applications of battery modeling, control and diagnostic methodologies, with emphasis on battery electric and hybrid electric vehicle applications. In particular, various types of battery models such as equivalent circuit models and electrochemistry-based models are discussed, and these models are utilized to predict battery states and conditions such as state-of-charge (SOC) and state-of-health (SOH). As mathematical tools, ordinary differential equations, partial differential equations, regression, estimator, Kalman filter, and automatic control techniques are extensively used for on-board diagnostics and management of Lithium Ion batteries. In addition, the concept of thermal management and cell balancing are introduced.
MO.50301 Smart Mobility Systems
This course introduces methodologies and concepts for the analysis and design of intelligent transportation system; and discusses state-of-art information and communication technologies (ICT) that are readily applicable to real-world transportation problems.
MO.50324 Transportation Infrastructure Systems
This course provides basic knowledge on ground transportation infrastructure for next generation. First half of this course covers planning, design, and management of i) basic roadway infrastructure, ii) electric power infrastructure for electric vehicles, and iii) communication infrastructure for intelligent transportation system (ITS). Second half is focused on more detailed technical issues ; wireless communication/broadcasting technology and power electronics.
MO.50356 Public Transportation System
This course introduces how to systemically understand public transportation systems. The scope ranges from the fundamental theories to real-world applications. Both traditional modes including buses, subways, and taxis, and emerging transit services associated with electric vehicles (EVs) and connected and autonomous vehicles (CAVs) will be discussed.
MO.50365 Road Safety & Human Factor
Traffic safety has been one of the biggest public health concerns worldwide accounting for 1.3 million deaths annually. This course covers engineering methodologies that analyze traffic safety data and develop countermeasures and introduces state-of-the-art technologies for traffic safety. It also highlights the critical role of human factors in understanding driver behavior, system design, and effective safety interventions.
MO.60175 Wireless Link Analysis
This course is for provision of comprehensive knowledge on wireless link between railway train and infrastructure, both of which are indispensible for implementation of intelligent railway transportation systems. Lectures are focused on basic theories of electric field, magnetic field, electromagnetic field, and applications of the theories.
MO.60256 Wireless Power Transfer System
This course introduces the basic concept and principle of wireless power transfer system which are being developed in electric vehicle and electric railway system. Also, the analysis of equivalent circuit, system design methodology, maximization of efficiency and transfer power, and magnetic field shielding technology for human body protection from the magnetic field is explained.
MO.60371 Introduction to Transportation Economics
The course aims to develop a critical economic/planning perspective on transportation issues and problems, and to explore a set of quantitative methods that are valuable to transportation system analysis and planning. To this end, various economic concepts (econometrics and microeconomics) will be explored to evaluate transportation systems and policy. Real-world cases will be reviewed and discussed to understand how these economic approaches apply to transportation systems.
MO.89900 Special Topics on Intelligent Transportation Systems
This course introduces various researches and technologies related to the intelligent transportation system as one of the core elements of the future transportation systems. Main topics include traffic analysis and modeling techniques for overall transportation operation and planning field, and traffic prediction techniques. The specific contents of the course will be notified before the offering.
MO.89901 Special Topics in Logistics
This course is designed to review, evaluate and apply methods currently used in the field of logistics in order to design and analyze futuristic logistics system. The course aims to teach approaches to defining environmental issues in existing logistics systems and selecting the sustainable solution(s) to address the issues posed.
MO.89902 Special Topics on Electric Propulsion Systems
This course is an advanced course to introduce theories and applications of the electric propulsion systems as one of the core elements of the future transportation systems. Main topics of the course include wireless electric power transfer system, battery system, and hybrid electric vehicles. The specific contents of the course will be notified before the offering.
MO.89903 Special Topics on Railway Vehicle Technology
This course is reserved for the selected special topics in the field of railway vehicle technology upon need-basis. The specific contents of this course will be determined before the offering and notified.
MO.89904 Special Topics in Ocean Transportation
This course covers the basic methodologies for design and assessment for offshore crane systems as maritime transportation system. In addition, it includes detailed case-studies such as Mobile Harbor and offshore wind farm installation system to review the methodologies covered in the lectures.
MO.89905 Special Topics on Unmanned Autonomous Systems
This course introduces state-of-the-art technologies and research trends in unmanned autonomous systems as one of the core elements of the future transportation systems. Main topics of the course include the principles of the self-driving systems, various sensor systems and sensor fusion techniques for smart vehicles, and the advanced driver assistance system. The specific contents of the course will be notified before the offering.
MO.92100 MS Thesis
This is an independent research work supervised by the advisor(s), toward the Master's thesis.
MO.92200 Ph.D. Thesis
This is an independent research work supervised by the advisor(s), toward the Ph.D's thesis.
MO.93100 Seminar(MS)
This course provides general understanding on mobility for master student The seminar topics include current technologies, policies and issues for mobility.
MO.93200 Seminar(Ph.D.)
This course provides general understanding on mobility for master student The seminar topics include current technologies, policies and issues for mobility.
※ Students who were admitted in or before the Spring 2026 semester, please refer to the KAIST Academic Curriculum website.
