For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ERC3013 | Technology Commercialization Capstone Design | 3 | 6 | Major | Bachelor | Engineering | - | No | |
| This lecture consists of background theory and practice for patent protection and commercialization(technology transfer..) of technologies or engineering ideas. | |||||||||
| ERC3014 | AI in Engineering | 3 | 6 | Major | Bachelor | Engineering | Korean | Yes | |
| This course covers various aspects of Artificial Intelligence (AI) for students of Engineering College. AI has different definitions and applied techniques depending on the fields of application and majors. In this course, the students will learn about the various definitions, basic concepts and methodologies of AI related to Engineering. Generally, AI agreed to the division of AI into know ledge-based(where in telligence 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 this course, students learn knowledge-based systems such as rule-based systems (RBS), search algorithms, RBS uncertainty, fuzzy systems, and methodologies of computational intelligence systems such as artificial neural networks, deep neural networks, and genetic algorithms. 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. | |||||||||
| ERC3015 | Entrepreneurship and Venture strategy | 1 | 2 | Major | Bachelor | 3-4 | Engineering | - | No |
| In this course, corporate experts will present items and directions related to start-up, analyze the implementation of items suitable for the fourth industry and the components of smart technology, and explore them. Through the research on integrated IT cases, students aim to help them understand recent technologies and trends, and to develop knowledge property and start-up capabilities. Evaluate your understanding of the lecture by submitting your class attitude, final assignments, and personal reports. | |||||||||
| ERC3016 | Engineering Research Project Ⅴ | 2 | 4 | Major | Bachelor | 2-4 | Engineering | Korean | Yes |
| This course provides the undergraduate students the research experience for the state-of-the-art technology in modern engineering. | |||||||||
| ERC5001 | Global Collaboration Research | 3 | 6 | Major | Master/Doctor | Engineering | Korean | Yes | |
| This class aims to enhance global competence as a researcher who study innovative growth fields through overseas dispatch of graduate students. Student’s who are dispatched overseas and carrying out joint research in world university will learn - to establish global network for future research - to strive for the creation of new industries in the field of sustainable development and innovative growth of mankind - to grow into global innovative leader with the competence of ‘Value creation’, ‘Convergence’, ‘Innovation’, and ‘Collaboration’ through innovation in creative convergence experiences that which cross the intercultural, interdisciplinary and intergeneration. In this class, students are expected to focus on projects during the overseas dispatch period to improve the quality of their research. Each researcher will present final report after they complete dispatch study and will be given their credit based on the presentation. | |||||||||
| ERC5002 | Interdisciplinary research in global collaboration 1 | 3 | 6 | Major | Master/Doctor | 1-8 | Engineering | Korean | Yes |
| This class is aiming to foster graduate students as a global researcher by pursuing top-tier interdisciplinary research with global collaborators. In addition, the students will improve their own global competence to become a global innovative leader by establishing global academic networks. | |||||||||
| ERC5003 | Interdisciplinary research in global collaboration 2 | 3 | 6 | Major | Master/Doctor | 1-8 | Engineering | Korean | Yes |
| This class is aiming to foster graduate students as a global researcher by pursuing top-tier interdisciplinary research with global collaborators. In addition, the students will improve their own global competence to become a global innovative leader by establishing global academic networks. | |||||||||
| ERC5004 | Practical joint research in Global | 3 | 15 | Major | Master/Doctor | Engineering | Korean | Yes | |
| This class aims to enhance global competence as a researcher who study innovative growth fields through overseas dispatch of graduate students. | |||||||||
| ERC5005 | Machine Learning Essentials for Engineers | 3 | 6 | Major | Master/Doctor | Engineering | Korean | Yes | |
| As interest in artificial intelligence and machine learning grows, this course is designed to offer mathematical insights into machine learning techniques other than deep learning, enabling students to comprehend and effectively apply them. The course covers a range of topics including Imbalanced Learning, Bayesian Neural Networks, Monotonic Neural Networks, Neural Additive Models, Gaussian Process, Ensemble Learning, Expectation and Maximization, Neighbor Embedding, and more. This will facilitate students' understanding of machine learning-related research papers and equip them to solve real-world engineering problems in their respective fields of study. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||