For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECO5106 | Pension Economics | 3 | 6 | Major | Master/Doctor | 1-4 | Economics | Korean | Yes |
| This class aims to provide a secure foundation in the economic theory and practices of pension. From studying this class, the student will understand: * The key types of pension scheme * The role of pensions in maximizing individual lifetime welfare * The role of pensions in individual savings and retirement decisions * The role and consequences of the pension plan from the company's viewpoint * The role of pensions in promoting aggregate savings * The role of pensions and retirement in overlapping generations models * The economics of ageing and intergenerational accounting * The social welfare implications of pensions | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| ESM4038 | Business Risk Management | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| Any business is full of a variety of risks. A variety of risk management methods will be introduced theoretically, and then be applied to problems in practices including M&A (merger & alliances), R&D investment, etc. Risk-return portfolio management methods are at the center of this class, but some up-to-date methods including VaR(Value at Risk), jump modeling with Langevin equation, etc. will be introduced. | |||||||||
| ESM4039 | Business Information System Analysis and Design | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| This course covers the various methodologies (Structured Analysis and Design, Information Engineering, etc.), techniques (data modeling, process modeling), and tools (CASE, RDBMS, data dictionary) used in developing information systems application. Students are expected to work on a class project to apply what they learned from the course. | |||||||||
| ESM5012 | Principles of Decision Support Systems | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course emphasizes the fundamental concept of DSS(Decision Support System) and its applicability to various industrial problems It first introduces the basic structure and software packages of SI and then investigates, through numerous case studies, how it has been implemented in resolving real world problems. | |||||||||
| ESM5019 | Performance Evaluation of Stochastic Systems | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Performances of various stochastic systems are derived and analyzed. Applications to production systems and communication systems are emphasized. | |||||||||
| ESM5041 | Strategic Information System | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course is offered to the graduate student in a seminar format during a semester. The seminar is to focus on exploring and articulating framework and methodology associated with deployment of Information Technology for help formulating or executing business strategy. | |||||||||
| ESM5043 | Tcchnology Valuation | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course treats basic concepts and methods on the evaluation of technology value. The various valuation methods including Monte Carlo method, risk adjusted NPV method, Options pricing methods, strategy as a portfolio of real options are explained in this course. | |||||||||
| ESM5045 | Strategic Decision Making | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course examines advanced topics related to the strategic decision making under uncertainty. Special topics include information collection and evaluation, utility theory, decision making process, multiple criteria decision making, decision support system, information technology and decision making, and decision making strategy. | |||||||||
| ESM5046 | Special Topics on System Integration | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course emphasizes the fundamental concept of SI and its applicability to various industrial systems. It first introduces the basic hardware and software tools of SI and then investigates, through numerous case studies, how it has been successfully implemented in real world problems. | |||||||||