For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ICE3024 | Digital Systems | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | English,Korean | Yes |
| This course provides advanced techniques for design of digital systems. Sequential and asynchronous digital circuits are introduced, and design techniques for those circuits are covered. Basic modules such as multipliers, floating point arithmetic, state machines, and their control blocks are studied. Based on the concepts introduced so far, design methodologies for more complex digital systems are covered. Standard hardware description languages such as VHDL or Verilog, and design automation tool flow are also covered so that students can cope with today's design environment. Only the students who studied "Logic Design" can take this lecture. | |||||||||
| ICE3027 | Introduction to Robotics | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | - | No |
| Manipulators, kinematic modelling, inverse kinematics, task level description if motion, joint velocity analysis, force and moment analysis, acturator torque analysis, trajectory planning positional control, range sensing, mapping and navigation. | |||||||||
| ICE3029 | MicroProcessor Laboratory | 2 | 4 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean,Korean | Yes |
| Understanding of microprocessors through test and experiments. Hardware and software design of digital systems using microprocessors. Designs on interfaces, memory decoding, serial/parallel communications and interrupts control. Software design is conducted with the aid of a microprocessor trainer system. Also, it deals with the structure of micro-computer systems. Program execution using assembler and machine language coding. | |||||||||
| ICE3033 | Internet Architectures | 3 | 6 | Major | Bachelor | 2-4 | Information and Communication Engineering | - | No |
| This course explains Internet architecture and its principle protocols for a student that has some experience in data communications. Also, this course gives detailed overview of how the Internet works and how it has evolved, presents architectural model showing how TCP/IP and related protocols fit together. This course covers error recovery operations, local and wide area networks, IP and ICMP, TCP and UDP, the point-to-point protocol and the layer 2 tunneling protocol, routing protocol, Internet security, network management, and voice over IP. | |||||||||
| ICE3035 | Web Programming | 3 | 6 | Major | Bachelor | 2-4 | Information and Communication Engineering | - | No |
| This course covers the design and application of Hypertext Markup Language (HTML), which is used to create documents on the World Wide Web. The topics include structure, presentation format, lists, links, images, tables, frames. To make students understand those contents it covers introduction to HTML, Web Page Design, Web Page Forms, Introduction to JavaScript, and Multimedia Web Pages. The student will create Web pages on their own. | |||||||||
| ICE3037 | Capstone Design | 3 | 6 | Major | Bachelor | 4 | Information and Communication Engineering | Korean,Korean | Yes |
| This course provides students with the design ability using the essentials of electrical and computer engineering, and encourages to apply the design to practical problems. The student will have completed a single project from conceptual design (problem selection, definition, and analysis), through preliminary design of the complete system and performance design (optimization), to final design of the system. | |||||||||
| ICE3040 | IT-3S Capstone Design | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | - | No |
| This course is a digital convergence project course so-called IT-3S. IT-3S covers Service (Smart Phone, Smart Grid, Smart Vehicle, Smart Energy), Software and SoC (System on Chip). The team project is based on interaction between Hw and Sw, System and components. | |||||||||
| 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. | |||||||||
| ICE3045 | Introduction to Machine Learning | 3 | 6 | Major | Bachelor | 3-4 | Information and Communication Engineering | Korean,Korean | Yes |
| Machine learning is the science that gives computers the ability to learn. Machine learning algorithms can learn from existing data and predict on future data. Machine learning techniques have been already applied to many areas including as self-driving vehicles, face recognition, speech recognition, and medical diagnosis. This course will provide the basic concepts and algorithms of machine learning and how to implement them. You will learn about linear & logistic regression, bias & variance, supervised learning such as support vector machines, kernels, and neural networks, and unsupervised learning such as clustering, dimensionality reduction, and deep learning. | |||||||||
| ICE3050 | Cornerstone Design: Advanced Machine Learning | 3 | 6 | Major | Bachelor | 4 | Information and Communication Engineering | - | No |
| This course is targeted to the students who have already taken the ‘Introduction to Machine Learning’ course. Students will be exposed to more advanced machine learning techniques and carry out several practical homework assignments as well as the final term-project. More specifically, after a brief review on basic machine learning, methods using deep neural networks (a.k.a. deep learning) will be introduced; examples will include multi-layer perceptrons (MLP), convolutional neural networks (CNN), and recurrent neural networks (RNN). Homeworks will consist of programming assignments on practical application such as image classification or natural language processing. Furthermore, final term-project will be carried out. [Prerequisites: linear algebra, probability and random processes, basic programming, introduction to machine learning] | |||||||||
| 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. | |||||||||
| ISS3183 | Human Computer Interaction | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course covers the basic concepts, fundamental theories and current researches in humancomputer interaction. Topics include principles, theories, methodologies, design, implementation, evaluation and research in computer interfaces. The objectives of this course are: to familiarize students with basic concepts of human computer interaction; to introduce students to theories and principles in computer interface design; to develop students’ ability to design, conduct and analyze user studies for computer software; and to provide students with the knowledge of the design process for user interfaces. | |||||||||
| 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. | |||||||||