For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ICE3001 | Microprocessor | 3 | 3 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean,Korean | Yes |
| Introduce the recent advaces in microprocessor design technologies and advances in microprocessor organizations and speed enhancements accompanied by.We review the changes in control unit,arithmetic logic unit,and register file organizationand take look at how the interconnection structures between the CPU and various components: memory,and peripherals are affected by the changes in the organiza- tion of microprocessors. And followed by the descriptions of the EDAC(Error Detection And Correction),the TLB(Translation Lookaside Buffer),the DMAC(Direct Memory Controller), and the programmable interrupt controller. | |||||||||
| ICE3028 | Embedded System Design | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean | Yes |
| This course is aiming at the understanding of hardwares and softwares for embedded system including the realtime OS. Reflecting the fast spread of embedded system as PDA with the wide use of the internet, the state of the art of development of embedded system and its trend are taught along with the related component technologies. The topics are its operating system, I/O, development tools, application programs, processor, network interface, TCP/IP stack, etc. Preliminary courses : Computer architecture, Operating system, etc. | |||||||||
| ICE3043 | Introduction to Smart Car Engineering | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean | Yes |
| This course deals with a broad outline of smart cars. In order to understand the basic fundamentals of an automobile, this course firstly introduces the state-of-the-art technologies which are currently being developed. In addition, an overall automobile architecture including driving, transmission, and chassis systems is introduced. Then, the driver assistance system for providing the comfort to operators is informed. This course also presents the recent development trend of smart cars in terms of in-vehicle softwares and electronics including sensors, actuators, and embedded boards. Moreover, the novel technologies for control softwares of vehicle system, vehicle networking, and application level softwares of connected cars are covered. Finally, in this course, we debate on the social, legal, and ethical issues of the smart car technology for finding solutions of its faster development. | |||||||||
| ICE3051 | Autonomous driving capstone design | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean,Korean | Yes |
| A capstone design course that performs a team project to develop an autonomous car. In this class, students form a team with other students to develop a self-driving car with Jetson nano board and sensors, such as camera. In this class, students learn AI programming and problem-solving skills related to autonomous driving. | |||||||||
| ICE3052 | Autonomous driving using artificial intelligence and control | 3 | 6 | Major | Bachelor | Information and Communication Engineering | - | No | |
| This course will introduce artificial intelligence and control technologies for autonomous driving that are crucial in future mobility. The course will cover object detection neural networks, semantic segmentation neural networks, vehicle localization, path planning, driving behavior cloning, etc. In addition, the course will include a team project that uses a driving simulator. | |||||||||
| ICE3053 | Field Practice in Future Vehicles | 1 | 0 | Major | Bachelor | Information and Communication Engineering | - | No | |
| This course provides students applying for Future Vehicle Micro Degree a program that connects academic knowledge and field experience during semester or vacation. Students can apply their academic knowledge and gain career-building experience in the field for four to six weeks. | |||||||||
| IFT5008 | multiphysics mechanics & computational analysis | 3 | 6 | Major | Master/Doctor | Smart Fab. Technology | - | No | |
| This class introduces the theory of multiphysics mechanics (electromagnetic-thermal-material-mechanical), and practices computational anlaysis for engieering problems based on the multiphysics mechanics. Students also learn data-driven simulation using articicial inteligence (AI). | |||||||||
| IFT5031 | Advanced Electrochemistry for Convergence | 3 | 3 | Major | Master/Doctor | 1-3 | Smart Fab. Technology | - | No |
| This course deals with an introductory subject regarding the industrial processes based on electrochemistry for the graduate students with a mechanical, material engineering background. The first part covers the oxidation-reduction reaction with a thermodynamics and kinetics. The redox reaction of metals and their application to electrochemical processes will be introduced with the latest research trends. The goal of this course is to understand electrochemical redox and the principle of the process using electrochemistry for expanding to applied fields. | |||||||||
| ISS3173 | Heat Transfer | 3 | 6 | Major | Bachelor | English | Yes | ||
| Basic principles of heat transfer will be discussed in this lecture. Main topics includes the followings. - Conductive heat transfer, - Convective heat transfer, - Radiation and applications of heat transfer | |||||||||
| ISS3198 | Artificial Intelligence | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course aims to teach the fundamentals of artificial intelligence starting with the concepts of intelligence, rationality and intelligent agents. Next, it will probe into problem solving, introducing the notion of search by drawing examples from puzzles and games amongst others. Then, the basics of knowledge representation and reasoning, such as logic and planning will be explored. Machine learning, a fast growing subfield of A.I. will also be covered focusing on technologies and real-world applications such as games, biomedical applications, social networks and smart technologies. Further topics (time-permitting) include the impact of major A.I. areas such as robotics and computer vision, natural language and speech processing in our society today. This is an introductory course and would be suitable for anyone interested to delve deeper into A.I. in the near future. Students will be given assignments that do not require any programming. | |||||||||
| ROB5002 | SLAM | 3 | 6 | Major | Master/Doctor | 1-4 | Intelligent Robotics | Korean | Yes |
| This class is to understand the fundamentals of autonomous robots, SLAM technologies. SLAM is Simultaneous Localization and Mapping. Conventional tracking-based approaches such as Extended Kalman Filter-based SLAM, Particle Filter-based SLAM as well as more recent Graph-based SLAM will be covered in their theoretical background as well as practical implementation issues. | |||||||||
| ROB5004 | Rehabilitation Engineering | 3 | 6 | Major | Master/Doctor | 1-8 | Intelligent Robotics | Korean | Yes |
| Rehabilitation engineering is a broad term that means the systematic application of engineering sciences to design, develop, adapt, and evaluate technological solutions to problems confronted by individuals with disabilities in functional areas, such as mobility (manipulation), sensory, and cognition. The goal of this lecture is to introduce sensory-motor system and motor pathology, and briefly present classical and new rehabilitation engineering principles and system examples applied to compensate or enhance motor deficits. | |||||||||
| ROB5005 | soft Robotics | 3 | 6 | Major | Master/Doctor | Intelligent Robotics | English | Yes | |
| The goal of this class is for students to gain a broad overview of the field of soft robotics and its relation within robotics as a general field. This class will target studies of recent developments in the field of soft robotics in terms of actuation, sensing, control, system integration, and industrial applications. As a team, students will implement the use of soft robotic technology in a prototype intended for industrial use. | |||||||||
| ROB5006 | IntelligentVehicleControlSystem | 3 | 6 | Major | Master/Doctor | 1-8 | Intelligent Robotics | - | No |
| This class covers control systems in intelligent vehicles, such as engine and electric motor control, advanced cruise control, anti-lock brakes, traction control, active suspension, and vehicle stability control. Students will also learn about the human factors and the driver’s role in the control loop. In addition, advanced vehicle control systems for Intelligent Transportation Systems (ITS), including collision detection and avoidance, lateral and longitudinal control, and self-driving, will be covered. Students will be introduced to basic concepts, terminology, state-of-the-art, and methodologies. Upon completion of the course, they will be able to read literature on this subject and do independent design, research, and development. | |||||||||
| ROB5007 | Data-driven Robot Control | 3 | 6 | Major | Master/Doctor | 1-8 | Intelligent Robotics | - | No |
| The course is focused on robot control based on data-driven robot perception. Modern computer vision, cognition, robot control, and reinforcement learning have long been disjointly discussed without clear connections. This course aims to provide an understanding of the relationship between traditional data-driven perception and control from a complementary perspective. This course covers the latest techniques in data-driven control. The mathematical theories covered in the course include Robot vision, Direct perception, Learning-based control, predictive models and forward dynamic models, model-based/model-free reinforcement learning, Sim-to-Real Transfer, and more. | |||||||||