Curriculum
Course Number | Summary | English |
---|---|---|
EIC7008 | Electromagnetics and Microwave Engineering | |
This course covers academic modules including electromagnetics, microwave circuit analysis and design. | ||
EIC7003 | Master Thesis Research | |
Students are advised by their advisors for MS degree thesis on emerging communication convergence technologies. | ||
EIC7004 | Communication Mathematics I | |
This course covers statistics topics on communications, including probability theory, random signals, detection and inference, and so on. | ||
EIC7005 | Communication Mathematics II | |
This course covers applied mathematics topics on communications, including linear algebra, linear and nonlinear optimization, and so on. | ||
EIC7007 | Artificial Intelligence | |
This course covers fundamental topics on artificial intelligence, including machine learning and pattern recognition. | ||
EIC7009 | Communication Integrated Circuits | |
This course covers essential circuit components used for communication such as signal modulation, analog circuits, and RF circuits. | ||
EIC7010 | Optoelectronics and Optical Communication | |
This course covers academic modules on optical communication including optics and semiconductors, and optoelectronic devices. | ||
EIC7011 | Biosignal Measurements | |
This course covers biosignal measurement techniques including measurement sensors, signal processing, and biosystems modeling. | ||
EIC7012 | Wireless Communication | |
This course contains a series of PBL type lectures on wireless communication and its applications. | ||
EIC7013 | Mobile Communication Systems | |
This course contains a series of PBL type lectures with industrial collaborations on mobile communication systems and standardization. | ||
EIC7014 | Immersive Media Systems | |
This course contains a series of PBL type lectures on AR/VR applications on wired/wireless communications. | ||
EIC7015 | Optimization Theory and Applications | |
This course contains a series of PBL type lectures on mathematical optimization theory and its applications on communication systems and other engineering disciplines. | ||
EIC7016 | Machine Learning and Pattern Recognition | |
This course contains a series of PBL type lectures on machine learning and its applications on pattern recognition. | ||
EIC7018 | Advanced Electromagnetics | |
This course covers a variety of analytic techniques for understanding electromagnetic wave distribution and propagation. | ||
EIC7019 | Antenna Engineering | |
This course contains a series of PBL type lectures on antenna engineering and array antenna design. | ||
EIC7021 | Quantum Electronics | |
This course contains a series of PBL type lectures on applied quantum electronics, optics, and laser applications. | ||
EIC7023 | Biophotonics and Biosensor Technology | |
This course contains a series of PBL type lectures on optics applications to biophotonics and biosensor systems. | ||
EIC7024 | Wireless Communication Convergence | |
This course covers convergence engineering technologies from 5G technologies, terahertz waves, and machine learning applications. | ||
EIC7025 | Wireless Network Convergence | |
This course covers convergence engineering technologies from quantum physics, VLC, quantum communication, and so on. | ||
EIC7027 | Wireless Energy Convergence | |
This course covers convergence engineering technologies from wireless power transmission, energy harvesting, and so on. | ||
EIC7028 | Communication Circuit Convergence | |
This course covers convergence engineering technologies from 5G technologies, terahertz wave, microwave circuits, and so on. | ||
EIC7029 | Communication Sensor Convergence | |
This course covers convergence engineering technologies from low-power communication, wearable sensors, and biomedical IoT devices. | ||
EIC7031 | Future Communication Convergence Engineering | |
This course covers miscellaneous convergence engineering technologies on emerging communication fields. | ||
EIC7032 | Convergence Future Communication Project I | |
This course covers miscellaneous convergence engineering technologies on emerging communication fields. | ||
EIC7033 | Convergence Future Communication Project II | |
This course is based on active PBL type team projects for solving advanced problems in convergence future communication technologies. | ||
EIC7036 | Convergence Future Communication Colloquium I | |
This colloquium contains a series of seminars discussing the current theoretical developments and industrial trends on convergence future communication technologies. | ||
EIC7037 | Convergence Future Communication Colloquium II | |
This colloquium contains a series of seminars discussing the current theoretical developments and industrial trends on convergence future communication technologies. | ||
EIC7038 | Digital Communication Systems | |
This course covers basic principles and designs of digital communication systems. | ||
EIC7039 | Signal Processing for Communications | |
This course covers digital signal processing and signal processing techniques for communications. | ||
EIC7040 | Wireless Networks | |
This course contains a series of PBL type lectures on wireless and mobile networks and their recent developments. | ||
EIC7041 | RF Integrated Circuit Design | |
This course contains a series of PBL type lectures on RF circuit design and wireless communication systems implementation. | ||
EIC7043 | Human ICT Convergence | |
This course covers convergence engineering technologies from 5G technologies and AI-based human-care technologies. | ||
EIC7044 | Quantum Communication Convergence | |
This course covers convergence engineering technologies from quantum physics, VLC, quantum communication, and so on. | ||
EIC7045 | Distributed Networks | |
This course contains a series of PBL type lectures on modern techniques for distributed networks such as edge computing, wireless caching, and distributed learning, toward the distributed system integrating them. | ||
EIC7046 | Reinforcement Learning | |
This course contains a series of PLB type lectures on Markov decision process, basic reinforcement learning theory, and deep reinforcement learning algorithms. | ||
EIC7047 | Deep-learning programming | |
This course contains a series of PLB type lectures on deep learning fundamentals and programming methods for deep learning. | ||
EIC8001 | 박사논문연구 | |
Students are advised by their advisors for PhD degree thesis on emerging communication convergence technologies. |