As a lecturer and visiting professor in the Department of Electronics Engineering at Chungbuk National University (CBNU), I am dedicated to providing high-quality graduate-level education that bridges cutting-edge research with practical engineering skills. My teaching focuses on interactive learning, real-world problem-solving, and establishing a solid foundation in both theory and experimentation.
Semester: Spring
Offered: 2024
Examines the principles, architectures, and protocols of computer networks. Covers OSI and TCP/IP models, data link and network layer functions, routing algorithms, switching techniques, and network performance metrics. Includes laboratory work with packet analyzers and network simulation tools.
Semester: Fall
Offered: 2024
Explores emerging networking paradigms including Software-Defined Networking (SDN), Network Function Virtualization (NFV), edge computing, and network security challenges. Students work on research-oriented projects and review recent IEEE and ACM publications.
Semester: Spring
Offered: 2025
Focuses on wireless communication technologies for intelligent transportation systems. Topics include DSRC, C-V2X, 5G-V2X, network security in vehicular environments, and implementation using real V2X hardware testbeds (Cohda MK5 OBU/RSU).
Semester: Spring
Offered: 2025
Covers advanced wireless communication systems including massive MIMO, mmWave communication, cognitive radio, and vehicular-to-everything (V2X) networking. Includes simulation-based assignments and analysis of next-generation communication standards (5G, 6G).
Semester: Fall
Offered: 2025
Artificial Intelligence Systems I introduces the fundamental concepts, methods, and system-level thinking needed to design and implement practical AI solutions. The course builds a solid foundation in core machine learning and modern AI workflows, emphasizing how algorithms move from theory to real-world systems. Students will study essential learning paradigms (supervised/unsupervised learning), model development (data preparation, training, validation, evaluation), and key algorithms used in classification and prediction tasks.
Semester: Fall
Offered: 2025
This course introduces the principles and system design of the Internet of Things (IoT), focusing on how connected devices sense, communicate, and deliver intelligent services across real-world environments. Students will learn the foundations of wireless sensor networks (WSN) and IoT architectures, then progress to practical IoT technologies including device hardware (sensors/actuators), IoT operating systems, and communication models. The course also covers essential wireless protocols and long-range connectivity options such as LoRaWAN, NB-IoT, and 5G, with emphasis on selecting technologies based on performance constraints (energy, latency, coverage, and scalability).