For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE5980 | Advanced Topics in Semiconductor Devices and Circuits | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| In this course, advanced topics in the field of semiconductor devices and circuits are to be introduced and discussed. Various issues in novel devices and circuits/systems (e.g., Artificial intelligence semiconductor chips, bio-inspired/-integrated devices(DNA Memory) are the main topics in this course. | |||||||||
| ECE5981 | Neuromorphic Integrated Circuits and Systems | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| The purpose of this subject is to learn a variety of techniques for designing neuromorphic systems mimicking the structure of a biological brain and accelerating the computation of AI algorithms. After understanding the structure of a biological brain and the operation principle of AI algorithms, students will learn about the basic properties of memristive devices and CMOS circuits as important tools to implement neuromorphic systems. The lecture also deals with the characteristics of state-of-the-art neuromorphic integrated systems and learns how to design low-power high-performance neuromorphic systems. | |||||||||
| ECE5982 | IoT System IC Design | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| This course is the fusion course to cover the seven key technologies of IoT System Integrated Circuits (IC), Sensor Device and Signal Processing, Wireleline/Wireless Connectivity, AI based Data Processging, Energy Harvesting and Power Management, Memory Design, Security, System Application as team teaching form. | |||||||||
| ECE5983 | Circuits and Systems for 6G Communication | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course is the fusion course to cover key aspects of 6th generation mobile communication, including high-speed modulation and demodulation techniques, mobile and base-station transceiver architectures and design of various building-block circuits. | |||||||||
| ECE5984 | Foundations of Machine Learning | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| Machine Learning is the study of how to build computer systems that learn from experience. This course will give an overview of many models and algorithms used in modern machine learning, including generalized linear models, multi-layer neural networks, support vector machines, Bayesian belief networks, clustering, and reinforcement learning. | |||||||||
| ECE5985 | Quantum-Meta Optics | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course will improve a physical understanding of photons, which represent quantum concept of light. In particular, non-classical properties of photons such as spontaneous emission, quantum cryptography, and quantum teleportation are discussed. In addition, meta-surfaces and materials in integrated quantum optics are studied. | |||||||||
| ECE5986 | Digital Communication ICs and Systems | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course teaches fundamental electrical issues in the design of high-performance digital communication systems. The detailed topics include transmission line analysis; noise in digital systems, its effect on signaling, and methods for noise reduction; timing conventions; timing noise, its effect on systems, and methods for mitigating timing noise; synchronization issues and sychronizer design; clock and power distribution problems and techniques; building blocks of high-speed signaling systems (PLL, CDR, and I/O circuits). Prerequisites: electronic circuits, electromagnetics | |||||||||
| ECE5987 | Advanced Memory Systems | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| The memory system is critical to the performance of modern computers. As processors become more capable of handling large amounts of data, designing efficient memory systems becomes increasingly important. This course introduces the fundamental concepts of a memory hierarchy, which includes on-chip cache, main memory, and storage. We also go over the most recent research on each component of the memory systems. The goal of the course is to teach students how to design novel memory system architectures and evaluate design trade-offs using system-level simulation. | |||||||||
| ECE5988 | GPU Architecture Cornerstone | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| Graphics Processing Units (GPUs) are the parallel processor that efficiently process large amounts of data. The GPUs are one of the key hardware that contribute the fast imrprovement of AI techniques n this class, we study the basic architecture of GPUs. Also, we have in-class presentations and discussions of the papers about the GPU architectures that were published in top-tier computer architecture conferences. By doing them, we study the recent research trends of GPU architectures. Also, we study the behavior of the GPUs with a GPU simulator. | |||||||||
| ECE5989 | Network System SW Design | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| As the performance of network hardware has improved significantly, it is important to understand the performance of system software for network processing. In this course, we learn the core designs of the current network software stacks including Linux kernel stacks and the most recent user-space stacks for high performance. We also have a term-project that designs and implements our own network protocols and algorithms (e.g., TCP congestion control) in Linux kernel. The recommended prerequisites for this course include computer networks and C programming language. | |||||||||
| ECE5990 | Special Topics In Electrical and Computer Engineering | 3 | 6 | Major | Master/Doctor | - | No | ||
| This course surveys a wide variety of recent advanced topics in electrical and computer engineering. The students can grasp the flow of the latest topics in electrical and computer engineering field, discover new research topics, and use them as the basis for their research. | |||||||||
| ECE5991 | ICT Standard Video Technology | 3 | 6 | Major | Master/Doctor | Korean | Yes | ||
| This course aims at introducing the international standardization bodies related to video, their standardization process, and standard video coding technologies so that students can acquire the latest standard technology related to video and various practical knowledge of international standardization. To this end, this course introduces international standardization organizations relevant to video, standardization systems and procedures, detailed video technologies for each standardization organization, and international standardization strategies. Students studies standard video coding technologies and practice writing standard contributions related to standard video technology through assignments. | |||||||||
| ECE5992 | Modern Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| This course introduces state-of-the-art modern artificial intelligence (AI) methods with their representative applications, and reviews foundations of modern AI. The topics of interests include but are not limited to the following from foundations to state-of-the-art technologies: review of linear algebra and probability-random variable-random vectors for AI, gradient-based optimization methods, image classification neural networks, object detection neural networks, image segmentation neural networks, image denoising and diffusion models, image restoration and iterative neural networks, view synthesis and implicit neural representation, contrastive learning, self-supervised learning, multi-modal analysis and vision-language model, multi-task learning, and meta learning. The course includes project(s) using modern AI. | |||||||||
| ECE5993 | Data Driven Security and Privacy | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| This course focuses on the development of security services utilizing data. Students will explore privacy issues arising from the use of data and delve into security challenges associated with artificial intelligence and machine learning technologies. Through case studies and projects, students will develop strategies for data protection and privacy maintenance, identify vulnerabilities in AI/ML algorithms, and explore countermeasures. The course offers both theoretical knowledge and practical skills required in a data-centric security landscape. | |||||||||
| ECE5994 | Advanced Digital Integrated Circuit Design | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| Learn advanced theories of integrated circuit design and the operational principles and design methods of various types of digital integrated circuits that have been recently researched and developed. Specific topics includes, but not limited to, noise, process variations, leakage power, parasitic inductance, power grid configuration in integrated circuits. Recent research trends, including security-oriented IPs such as TRNG (True Random Number Generator) and PUF (Physically Unclonable Function), various computational acceleration circuits, and next-generation memories, are also explored. | |||||||||