For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ERC3001 | Global Capstone Design | 3 | 6 | Major | Bachelor | 3-4 | Engineering | Korean | Yes |
| This course covers the innovative design process based on international and interdisciplinary design teams by exploring users' various needs, defining design problems, reflecting practical constraints, generating diverse concepts, evaluating and refining final solutions and prototyping. The multidisciplinary design theories and methodologies will be addressed to guide the design process. Therefore, in this course, core capabilities for next generation engineers such as global competitiveness, innovation ability and interdisciplinary capstone design ability can be significantly fostered. | |||||||||
| ERC3002 | Engineering Research Project Ⅰ | 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. | |||||||||
| ERC3003 | Engineering Research Project Ⅱ | 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. | |||||||||
| ERC3004 | Engineering Research Project Ⅲ | 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. | |||||||||
| ERC3005 | Engineering Research Project Ⅳ | 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. | |||||||||
| ERC3010 | Intellectual Property Strategy for Startup | 3 | 6 | Major | Bachelor | 2-4 | Engineering | - | No |
| - In the era of the Fourth Industrial Revolution, intellectual property(IP), which is a high-level creative work, is getting more and more important, and creating IP through understanding of IP and applying it to business is one area of core competence. It requires learning about creation and management of IP and application to start-up business through in-deepth understanding of IP. - This course deals with the understanding of IP, how to create and manage IP, and the whole theoretical and practical know-how on the application of business based on managed IP(start-up business). - Detail learning contents include the concept and type of IP (industrial property rights, copyright, new intellectual property rights), creation of IP, management of IP, valuation of IP, trading of IP property, business creation, and IP-based start-up. - To increase the success factor of IP-based start-up by empirically analyzing the cases of successful and failed IP-based start-ups, and to acquire the practical know-how of IP-based property start-ups directly in representative of IP-based start-ups. | |||||||||
| ERC3011 | Industry Collaborative Capstone Design | 3 | 6 | Major | Bachelor | 3-4 | Engineering | - | No |
| This course is a senior level capstone design course in the College of Engineering, School of Information & Communication Engineering and the College of Software, the College of Natural Science. This capstone design course emphasizes the industry-based problem solving task through interdisciplinary team project. The students of this course will discover industry and customer’s needs, and explore industry-based problem issues, and study on interdisciplinary knowledge and theory. Also, they will try to apply the diverse engineering sciences and humanistic knowledge to the problem and reflect the actual industry situation and various consideration, explore various open-ended solutions, improve their best solution, and communicate their results each other. Each team will consist of students from several different departments, and be supported by professors and industry-expert(mentor). | |||||||||
| ERC3012 | Patent Idea Search and Application | 3 | 6 | Major | Bachelor | 3-4 | Engineering | - | No |
| 1.Objectives The purpose of this course is to cultivate technology exploration skills of future engineering students through theory study and practice of prior art research in science and technology field. Through this course, you can develop basic knowledge and expertise about intellectual property rights. 2. Class contents (1) Understanding of intellectual property rights (patent, trademark, design, etc.) - Intellectual Property Overview - Patent registration requirements and application procedure - Exercising intellectual property rights - Interpretation of IP claims (2) Prior art research - Prior art subject (technical literature such as patent, thesis) - Patent utilization method and search strategy in each country - Use of prior art research (review of registration possibility, review of invalid reasons, patent map, etc.) - Use of prior art research database (WIPS, KIPIRIS, etc.) - Keyword search method for prior art research - Prior Art Research Practice (3) Distinguishing the difference between my ideas and technologies - Identify possession technologies and ideas - Research and analysis of technology, industry, and policy trends - Knowing how to use analytics tools (Google, tech trends sites, new business trends sites, government information sites) - Deriving ideas and technology differentiation from prior art - Idea / technology applied product line / commercialization model / direction of research | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||