Curiiculum
| Summary | English |
|---|---|
| Individual Research 1,2,3,4 | |
| This course is designed for the graduate course students to do their own research works independently under supervision of their advisors. The graduate students are encouraged to set the objectives of their research works and to do development of theories and methodologies to achieve the objectives. At the end of semester, the students must give the reports in a technical paper form to their advisors for grading. | |
| Memory Semiconductor Devices | |
| This course explores the principles, design, and operation of advanced memory semiconductor devices. Topics include DRAM, NAND flash, and emerging memory technologies such as PCRAM, ReRAM, STT-MRAM, and other next-generation memory devices. By the end of the semester, students will gain a comprehensive understanding of the architecture, fabrication processes, and performance characteristics essential for modern memory applications. | |
| Neuromorphic Semiconductors | |
| This course delves into the principles and applications of neuromorphic semiconductor technologies, focusing on spiking neural networks(SNNs) and emerging memory devices for neuromorphic computing. Topics include the design and operation of neuromorphic architectures, integration of new memory technologies, and their applications in AI hardware. By the end of the course, students will develop a deep understanding of neuromorphic devices and their potential to revolutionize computing systems. | |
| Bio Integrated Circuit Design | |
| This course explores the fundamental technologies of various integrated circuits related to bioelectronics and examines the considerations for their design. Based on the concepts learned, the course delves into the integrated circuits for neural prosthetic technologies such as cochlear implants, retinal prostheses, and deep brain stimulation, as well as applications in ultrasound and sensor interfaces. | |
| Communication Semiconductor Circuit Design | |
| This course covers the design of critical circuits for modern communication systems, including transmitters, receivers, clock generation circuits, and power management circuits. Students will explore design principles, optimization techniques, and performance trade-offs. The course focuses on achieving high performance, low power, and scalability in communication circuits. |
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| Deep Learning Processor Architecture | |
| This graduate course delves into the principles and practices of designing AI accelerators, focusing on processor architectures optimized for deep learning applications. Students will gain a comprehensive understanding of specialized processing units tailored for AI workloads, exploring topics such as parallel computing architectures, hardware-software co-design, etc. | |
| Power Management Integrated Circuits | |
| This course extends foundational CMOS analog design concepts to advanced topics, emphasizing power management integrated circuits. Key areas include high-performance LDOs, DC-DC converters, supply modulator, power noise analysis, and power minimization techniques. Advanced feedback systems are also covered, preparing students for cutting-edge analog design challenges. | |
| Solid State Physics | |
| The course provides an introduction to solid state physics, including the lattice structure, basic experimental methods, thermal properties, and basic band theory. | |
| Quantum Physics | |
| Topics include fundamental concepts, Hilbert spaces and Dirac notations, general theory of quantum mechanics, including the Schrödinger, Heisenberg, and interaction pictures, the path integral formulation, nature of quantum measurement, addition of angular momenta. | |
| Micro-Electromechanical System | |
| This class provides the introduction of Micro-electromechanical system(MEMS) and its application. MEMS is a technology building electro-mechanical structure susing various semiconductor fabrication technology. Optical and bioapplication of MEMS will be introduced in this class. | |
| RF Integrated Circuit Design | |
| The course starts with a brief introduction of RF/analog circuit theory and semiconductor fabrication to provide background for other course topics. Modeling and fabrication of active and passive devices fabricated on silicon CMOS process are presented to use in wireless circuit design. Basic building blocks for wireless communication front-end such as low noise amplifier, mixer, VCO, and power amplifier are studied using example circuits published on journal articles. Finally, system design concepts such as cascaded gain/noise, sensitivity, dynamic range of wireless communication front-end design issue are examined. | |
| Sensor Devices and Circuits | |
| In the era of the 4th industrial revolution, sensor technology that collects and analyzes data is very important. In this lecture, we aim to understand various technologies related to sensors and their roles in the IoT era, such as sensor fabrication, operating principle, data collection and transmission scheme, and noise of sensors and their peripheral devices. In this course, the sensor manufacturing process and the principle of the sensor mechanism will be explored. Also, various sensors based on physical mechanism and its noise charateristics will be covered. Finally, amplification and communication circuits applicable to sensors, data transmission and reception will be introduced. | |
| Advanced MOS Device Physics | |
| Understand the physical phenomena of MOSFET devices and the effects of device miniaturization. Introduces technological trends using new structures and new materials that are currently being actively developed in nano-device MOSFETs, and covers various memory devices as specific application examples. Additionally, by covering quantum effects, device reliability, and modeling, students will be equipped with sufficient basic knowledge and application capabilities for next-generation devices. | |
| Semiconductor Fundamentals | |
| This course provides the student an understanding of the fundamental semiconductors and devices. The basic knowledge that you will learn in this introductory course will make up the foundation to understand the operation and limitation of the three primary electronic devices: 1) PN junctions diodes, 2) bipolar transistor, and 3) MOS field effect transistors. | |
| Analog Integrated Circuits | |
| This course helps the students to understand the difficulties in CMOS analog designs. The students will learn the approaches currently taken to optimize analog designs. As a final project, they will be looking at, DAC, ADC, and PLL closely and try to reproduce the circuits with most of the pitfalls covered. | |
| VLSI Systems Designs | |
| This course covers the basics of SoC(CMOS VLSI) design in system perspective. Topics are reviews on CMOS basics, combinational logic and sequential logic designs, SoC design methodologies and tools, data path design, memory design, testing and verification, and special purposed design. Front-end and back-end design projects using CAD tools are included. | |
| CMOS Front-End Fabrication Process | |
| Technology for Silicon Semiconductor IC(Integrated Circuit) chip which is the basis of modern electronic systems, will be covered, focusing on its historical background, structures of modern semiconductor devices, and fabrication processes. Current and future trends of semiconductor IC technology will also be discussed. | |
| Low Power Memory Design | |
| Low Power Memory Design | |
| Artificial Intelligence Integrated Circuits | |
| In this course, computing architectures for deep learning will be analyzed. In particular, the mechanizm behind deep learning will be analyzed in terms of circuit efficiency and various techniques employed to achieve the efficiency will be studied. The focus of this course will not only be on optimized hardware for inference, but also on learning. | |
| Wearable Convergence Semiconducto | |
| In this course, variety of renewable energy related convergence semiconductor implementations will be analyzed and their applications will be studied. In particular, suitable structures and methods to apply the renewable energy for wearable applications will be explored in detail. |