For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ERC7001 | Understanding and Utilizing the Metaverse Platform | 3 | 6 | Major | Bachelor/Master/Doctor | Engineering | Korean | Yes | |
| The main purpose of this course is training that equips students with metaverse-based business or service planning capabilities based on understanding of the technical elements consisting of the metaverse and hands-on experiences with major platforms and related devices. Opportunities to understand the characteristics and uses of each technical component, to study the cases of major services, and to identify strengths and weaknesses from the user's point of view through experience are given, and furthermore, the ability to derive creative ideas for the use and improvement of metaverse services is cultivated. do. | |||||||||
| ERC7002 | Understanding and Utilizing NFT | 3 | 6 | Major | Bachelor/Master/Doctor | Engineering | - | No | |
| The main purpose of this course is to educate students to have business or service planning skills using NFT based on understanding of the concept and underlying technology of NFT, related digital economic ecosystem, examples of NFT projects, and hands-on practice of NFT production and sales. It includes a basic understanding of blockchain and cryptocurrency, which are the base technologies of NFT, and digital art and digital assets, which are the major existing applications. Through learning about major project cases, legal considerations, market analysis tips, and technology trends, students will develop the ability to derive creative ideas for a wide range of future uses. | |||||||||
| ERC7002 | Understanding and Utilizing NFT | 3 | 6 | Major | Bachelor/Master/Doctor | Engineering | - | No | |
| The main purpose of this course is to educate students to have business or service planning skills using NFT based on understanding of the concept and underlying technology of NFT, related digital economic ecosystem, examples of NFT projects, and hands-on practice of NFT production and sales. It includes a basic understanding of blockchain and cryptocurrency, which are the base technologies of NFT, and digital art and digital assets, which are the major existing applications. Through learning about major project cases, legal considerations, market analysis tips, and technology trends, students will develop the ability to derive creative ideas for a wide range of future uses. | |||||||||
| ERP4001 | Creative Group Study | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students. | |||||||||
| ERP4001 | Creative Group Study | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students. | |||||||||
| ESC5015 | Introduction to Thermoelectric Materials Devices | 3 | 6 | Major | Master/Doctor | 1-8 | Energy Science | English | Yes |
| The subject studies the characteristics and synthesis of new functional thermoelectric materials which are based on conventional thermoelectric materials, nano, and fusion technology. Plus, various applications with thermoelectric materials will be discussed. | |||||||||
| ESM3083 | Introduction to AI & Practice | 3 | 6 | Major | Bachelor | 3-4 | Systems Management Engineering | - | No |
| Overall in the course, students will be exposed to various aspects of Artificial Intelligent (AI). As AI itself meant differently to different people, depending on their field of expertise and study, students will be introduced to various definitions and methods related to engineering. Generally, AI agreed to the division of AI into knowledge-based (where intelligence are entered or built into the system by gathering the information from experts) and the computational intelligent system (where intelligence are computed into a model based on a lot of past data available). In the class, students will be learned various technologies like rule-based system (RBS), search algorithms, uncertainty in RBS, fuzzy system, artificial neural network, and genetic algorithm. The course is intended to be theoretical as well as practical. To gain some practical knowledge, students are required to produce prototype systems for knowledge based and computational based AI. In completing the course assignment and tasks, students are required to work individually and/or as a group to be involved in problem-solving and making decisions. Students’ knowledge and ability are also tested in case studies, projects, interactive discussions, mid-term examination, and final examination. | |||||||||
| ESM5109 | Patents and Entrepreneurship1 | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | Korean,Korean | Yes |
| The important issues and process of filing patents will be lectured in this class. Also, entrepreneurship using patents will be studied. The related laws will be reviewed, and actual case studies will be carried out. | |||||||||
| ISS3173 | Heat Transfer | 3 | 6 | Major | Bachelor | English | Yes | ||
| Basic principles of heat transfer will be discussed in this lecture. Main topics includes the followings. - Conductive heat transfer, - Convective heat transfer, - Radiation and applications of heat transfer | |||||||||
| SDE5041 | Advanced Semiconductor Technology | 3 | 6 | Major | Master/Doctor | Semiconductor and Display Engineering | - | No | |
| The purpose of this course is to enhance theoretical understanding and cultivate practical ability of the latest semiconductor technology. This lecture covers semiconductor design, process and S/W by inviting executives and engineers from Samsung electronics DS, a global integrated device manufacturer. | |||||||||
| SNT5054 | Solar Cell | 3 | 6 | Major | Master/Doctor | 1-8 | Nano Science and Technology | English | Yes |
| Introduction to the fabrication and operation of solar cells. Topics include fabrication of solar cells; device structures; operating principles; design of solar cells. | |||||||||
| SNT5056 | Computational Science and Simulation | 3 | 6 | Major | Master/Doctor | 1-8 | Nano Science and Technology | English | Yes |
| This course gives an introduction to the basic methods in computational science and engineering, and an overview of the recent progress in scientific computing. It covers techniques used in modeling physical systems numerically and analyzing data. | |||||||||
| SUP5009 | Bioelectronic Devices and Intelligent Information Processing | 3 | 6 | Major | Master/Doctor | 1-2 | Superintelligence Engineering | Korean | Yes |
| The course covers the flexible electronic/bioelectronic materials and functional devices. Furthermore, various fabrication methods and characteristic analyses regarding soft electrodes, sensors, and non-volatile memories will be addressed. In addition, this course covers diverse artificial intelligence applications for effectively achieving high-fidelity physiological signals and biomedical images. For example, one topic is to discuss recent progress and limitation of sensors, memory devices, and artificial intelligence and predict their future prospects. The one goal of the course is to develop the ability of solving issues via various engineering aspects. | |||||||||