For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE5988 | GPU Architecture Cornerstone | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | 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. | |||||||||
| ECE5989 | Network System SW Design | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | 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. | |||||||||
| ECE5990 | Special Topics In Electrical and Computer Engineering | 3 | 6 | Major | Master/Doctor | Electrical and Computer Engineering | - | 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. | |||||||||
| ECE5991 | ICT Standard Video Technology | 3 | 6 | Major | Master/Doctor | Electrical and Computer Engineering | 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. | |||||||||
| ECE5992 | Modern Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | 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. | |||||||||
| ECE5993 | Data Driven Security and Privacy | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | 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. | |||||||||
| ECE5994 | Advanced Digital Integrated Circuit Design | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | 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. | |||||||||
| ECE5995 | Foundations of Digital VLSI Design | 3 | 6 | Major | Master/Doctor | 1-4 | English | Yes | |
| This course starts with code written in Register-Transfer Level (RTL) languages such as Verilog/SystemVerilog/VHDL and covers the process required to complete a semiconductor design layout that can be manufactured in an actual silicon fabrication process. It establishes theories on the core processes of cell-based Digital VLSI and SoC back-end design, including logic synthesis, place & Route, and signoff. Based on these theories, the practice sessions will involve learning how to use Electronic Design Automation tools, which are standard in the semiconductor industry, and applying them to SoC Back-End design. Each week, the following topics will be covered: 1. Introduction to Cell-based Digital VLSI Flow: From RTL to GDS 2. Review of Logic Synthesis, Standard Cell Library, Design Constraints 3. Analyzing Timing Reports and Advanced Synthesis 4. Moving to Physical Domain: Floorplanning 5. Powerplanning 6. Placement 7. Multi-Corner Multi-Mode Timing Analysis and Opt Placement 8. Mid-Terms 9. Clock Tree Synthesis: Understanding Clock Constraints, CTS Strategies 10. Advanced topics in Clock Tree Synthesis: Clock Domain Crossing, Clock Concurrent Optimization 11. Routing: DRC fixing, Signal Integrity 12. Understanding I/O circuits, Digital I/O, Analog IOs, ESD protection 13. Chip Finishing: Sign-off Timing Analysis 14. Chip finishing: Additional DRC Fix and Signoff Validation 15. Finals | |||||||||
| ECE5995 | Foundations of Digital VLSI Design | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | English | Yes |
| This course starts with code written in Register-Transfer Level (RTL) languages such as Verilog/SystemVerilog/VHDL and covers the process required to complete a semiconductor design layout that can be manufactured in an actual silicon fabrication process. It establishes theories on the core processes of cell-based Digital VLSI and SoC back-end design, including logic synthesis, place & Route, and signoff. Based on these theories, the practice sessions will involve learning how to use Electronic Design Automation tools, which are standard in the semiconductor industry, and applying them to SoC Back-End design. Each week, the following topics will be covered: 1. Introduction to Cell-based Digital VLSI Flow: From RTL to GDS 2. Review of Logic Synthesis, Standard Cell Library, Design Constraints 3. Analyzing Timing Reports and Advanced Synthesis 4. Moving to Physical Domain: Floorplanning 5. Powerplanning 6. Placement 7. Multi-Corner Multi-Mode Timing Analysis and Opt Placement 8. Mid-Terms 9. Clock Tree Synthesis: Understanding Clock Constraints, CTS Strategies 10. Advanced topics in Clock Tree Synthesis: Clock Domain Crossing, Clock Concurrent Optimization 11. Routing: DRC fixing, Signal Integrity 12. Understanding I/O circuits, Digital I/O, Analog IOs, ESD protection 13. Chip Finishing: Sign-off Timing Analysis 14. Chip finishing: Additional DRC Fix and Signoff Validation 15. Finals | |||||||||