For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE5972 | Advanced System IC Design 2 | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | Korean | Yes |
| This course covers the high efficiency Power Management Unit, Low-Power Wireless Connectivity, and Sensor Signal Processing Analog Front-End (AFE) as key technologies for the IoT (Internet of Things) and Wearable devices. | |||||||||
| ECE5975 | Topics in Mobile System Design | 3 | 6 | Major | Master/Doctor | - | No | ||
| The objective of this course is to provide and familiarize thestudents with the critical concepts and specifications of current and future mobile communication systems. More specifically, the following topics are included: GSM, CDMA/CDMA2000/W-CDMA, WLAN, WiBro, UMTS, and BCO. Also, personal wireless systems such as UWB and Bluetooth will be covered. In addition, basics of the digital broadcasting technology (US VSB, European DVB, mobile DMB, etc.) will be discussed. | |||||||||
| ECE5975 | Topics in Mobile System Design | 3 | 6 | Major | Master/Doctor | Electrical and Computer Engineering | - | No | |
| The objective of this course is to provide and familiarize thestudents with the critical concepts and specifications of current and future mobile communication systems. More specifically, the following topics are included: GSM, CDMA/CDMA2000/W-CDMA, WLAN, WiBro, UMTS, and BCO. Also, personal wireless systems such as UWB and Bluetooth will be covered. In addition, basics of the digital broadcasting technology (US VSB, European DVB, mobile DMB, etc.) will be discussed. | |||||||||
| ECE5976 | Measurement Science | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The course is designed to introduce students about measurement and instrumentation used in all fields of engineering. The course introduces the process of associating numbers with physical quantities and phenomenon. A measurement system can be interpreted as a channel for transporting information from a measurement object to a target object. In a measurement-and-control system (part of) the target object is identical to the measurement object. Three main functions can be distinguished—data acquisition, data processing, and data distribution. Data acquisition is used to obtain information about the measurement object and convert it into an electrical signal. Data processing includes processing, selecting, or otherwise manipulating measurement data in a prescribed manner. Data distribution is used to supply processed data to the target object. Multiple outputs indicate the possible presence of several target instruments such as a series of control valves in a process installation. Rapid growth in computers and computer science has contributed to an expansion of software tools for the processing of measurement signals and the computer is gradually taking over more and more instrumental functions. The case studies are drawn from the fields of electrical and mechanical engineering, control systems, and, satellite and car navigation technologies, and offer a broad variety of applications for all users. | |||||||||
| ECE5976 | Measurement Science | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| The course is designed to introduce students about measurement and instrumentation used in all fields of engineering. The course introduces the process of associating numbers with physical quantities and phenomenon. A measurement system can be interpreted as a channel for transporting information from a measurement object to a target object. In a measurement-and-control system (part of) the target object is identical to the measurement object. Three main functions can be distinguished—data acquisition, data processing, and data distribution. Data acquisition is used to obtain information about the measurement object and convert it into an electrical signal. Data processing includes processing, selecting, or otherwise manipulating measurement data in a prescribed manner. Data distribution is used to supply processed data to the target object. Multiple outputs indicate the possible presence of several target instruments such as a series of control valves in a process installation. Rapid growth in computers and computer science has contributed to an expansion of software tools for the processing of measurement signals and the computer is gradually taking over more and more instrumental functions. The case studies are drawn from the fields of electrical and mechanical engineering, control systems, and, satellite and car navigation technologies, and offer a broad variety of applications for all users. | |||||||||
| ECE5977 | Video Signal Processing | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| Video signal processing is very importantly and widely used in multimedia system, smart phone/television/digital camcoder/camera/display, etc. In this class, students will study various theories and technologies for digital video signal representation and processing required in the whole process from video data acquisition to video display such as spatial-temporal video acquisition, representation format, motion estimation and segmentation, linear and non-linear filtering, video encoding and decoding, and video quality enhancement, etc. | |||||||||
| ECE5977 | Video Signal Processing | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| Video signal processing is very importantly and widely used in multimedia system, smart phone/television/digital camcoder/camera/display, etc. In this class, students will study various theories and technologies for digital video signal representation and processing required in the whole process from video data acquisition to video display such as spatial-temporal video acquisition, representation format, motion estimation and segmentation, linear and non-linear filtering, video encoding and decoding, and video quality enhancement, etc. | |||||||||
| ECE5978 | Power Delivery Network Modeling and Design in Low Power Electronic Systems | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| In VLSI (SoC) designs, the power distribution network is an important design factor that must be considered to properly power up the transistors, and also affecting signal integrity, mixed system noise problems, and electromagnetic compatibility circuit operation. In addition, as the power supply voltage of low-power SoCs are lowered, the allowable error is reduced, requiring more understanding of the power distribution network. Since the supply power comes from off-chip, knowledge of the internal circuits and interconnects of the chip, package and PCB components, is required. This course introduces the theory and simulation tools that can be used for the design and analysis of VLSI power distribution network. | |||||||||
| ECE5978 | Power Delivery Network Modeling and Design in Low Power Electronic Systems | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | No |
| In VLSI (SoC) designs, the power distribution network is an important design factor that must be considered to properly power up the transistors, and also affecting signal integrity, mixed system noise problems, and electromagnetic compatibility circuit operation. In addition, as the power supply voltage of low-power SoCs are lowered, the allowable error is reduced, requiring more understanding of the power distribution network. Since the supply power comes from off-chip, knowledge of the internal circuits and interconnects of the chip, package and PCB components, is required. This course introduces the theory and simulation tools that can be used for the design and analysis of VLSI power distribution network. | |||||||||
| ECE5979 | Introduction to Flexible Electronics | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
| Flexible/stretchable electronics based on high-performance micro/nanomaterials have attracted a lot of attention not only for their fundamental scientific interest, but also for their many technological applications. This course reviews fundamental charge transport phenomenon in semiconductors and their MOSFET applications. Furthermore, this course deals with the current status of flexible/stretchable electronic materials/devices through the small size of group discussion. Each of specific topics is chosen from the various state-of-the-art research activities in flexible/stretchable materials/devices and self-healing bio-integrated electronics. 1. Electrical property of semiconducting materials 2. Electrical property of semiconducting devices 3. Electrical and mechanical properties of stretchable materials 4. Electrical and mechanical properties of stretchable electronic devices 5. Application of stretchable electronics to bio-integrated electronic systems | |||||||||
| ECE5979 | Introduction to Flexible Electronics | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | Korean | Yes |
| Flexible/stretchable electronics based on high-performance micro/nanomaterials have attracted a lot of attention not only for their fundamental scientific interest, but also for their many technological applications. This course reviews fundamental charge transport phenomenon in semiconductors and their MOSFET applications. Furthermore, this course deals with the current status of flexible/stretchable electronic materials/devices through the small size of group discussion. Each of specific topics is chosen from the various state-of-the-art research activities in flexible/stretchable materials/devices and self-healing bio-integrated electronics. 1. Electrical property of semiconducting materials 2. Electrical property of semiconducting devices 3. Electrical and mechanical properties of stretchable materials 4. Electrical and mechanical properties of stretchable electronic devices 5. Application of stretchable electronics to bio-integrated electronic systems | |||||||||
| 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. | |||||||||
| ECE5980 | Advanced Topics in Semiconductor Devices and Circuits | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | - | 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. | |||||||||
| ECE5981 | Neuromorphic Integrated Circuits and Systems | 3 | 6 | Major | Master/Doctor | 1-4 | Electrical and Computer Engineering | 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. | |||||||||