For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ESM3089 | SME Practice 3A | 3 | 6 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 6 weeks) | |||||||||
| ESM3090 | SME Practice 3B | 3 | 6 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 6 weeks) | |||||||||
| ESM3091 | SME Practice 4A | 6 | 12 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 12 weeks) | |||||||||
| ESM3092 | SME Practice 4B | 6 | 12 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 12 weeks) | |||||||||
| ESM3093 | SME Practice 5A | 9 | 18 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 6 months) | |||||||||
| ESM3094 | SME Practice 5B | 9 | 18 | Major | Bachelor | 2-4 | Korean | Yes | |
| Undergraduate students are provided with the opportunity to participate in research activities of a laboratory at the graduate school under the supervision of a SME faculty member to get research experience and enhance research abilities. (participating period: 6 months) | |||||||||
| ESM3095 | Innovation Strategy and Management | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course is designed to guide undergraduate students to learn the academic foundations of technological innovation management and strategy. The course will primarily focus on firms’ innovation strategy and management including the decision to market entry with innovation, evaluation/selection of R&D projects, collaboration strategy for innovation, and intellectual property right strategy (e.g., patent strategy). As a final-term project, students will be required to select a recent news article on a case of a firm’s successful/unsuccessful innovation and analyze the success/failure factors based on the class learning. | |||||||||
| ESM3096 | Global Business Strategy | 3 | 6 | Major | Bachelor | 1-4 | Korean,English | Yes | |
| The global business environment is dramatically being changed by the COVID 19, Industry 4.0 together with digital transformation, AI and big data, economic integration such as CPTPP and USMCA FTA, and shortage of certain key materials and components necessary for global manufacturing industries and global value chain. The assignment of ‘global business strategy, will analyze the optimal system management of global production and supply chain and global business strategy under the new global business circumstances due to post COVID 19 globalization, digital transformation, national difference, government policy and trade & investment, new global R&D and HRD & HRM. | |||||||||
| ESM3098 | Innovation Policy Analysis and Its Application | 3 | 6 | Major | Bachelor | Korean | Yes | ||
| In this course, students will learn theoretical frameworks and empirical methods for the analysis of technology innovation policies. The first part of the course will cover theories and analytical methodologies related to issues in technology innovation policies. The latter part will focus on analyzing practical cases, emphasizing quantitative analysis of the impact of changes in technology innovation policies on innovation efforts of companies, universities, and national research institutions. | |||||||||
| ESM3099 | Data Structures with Algorithms | 3 | 6 | Major | Bachelor | 3 | English | Yes | |
| The "Data Structures and Algorithms" course is a fundamental topic in computer science, focusing on efficient data management and processing methods. In the data structures part, students learn about various fundamental data structures for effective organization, management, and storage of data, including arrays, linked lists, stacks, queues, trees, and graphs. They also learn how to use these data structures for more efficient data processing and searching. In the algorithms section, students study the working principles of various algorithms, such as sorting and searching algorithms, graph algorithms including shortest path and minimum spanning tree algorithms. Additionally, the course covers the complexity of algorithms to evaluate and compare their efficiency. The course is conducted through a combination of theoretical knowledge and practical exercises. Students implement the data structures and algorithms they have learned in theory through Python code-writing exercises. They solve real-world problems using these structures with a variety of example problems. Through this process, students gain an understanding of the practical application of data structures and algorithms and acquire the essential skills needed to solve complex problems. Such course content is not only crucial in computer science but also in fields like software engineering and data science. It helps in developing problem-solving abilities and lays the foundation for efficient programming. | |||||||||
| ESM3100 | Human Factors for UX Design | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This course examines the theories, applications, and contemporary topics of Human Factors Engineering used for User Experience Design. Topics include human information processing, psychophysics, perception and cognition, human motor skills, information systems design, and interaction design. At the completion of the course, all students will be able to analyze and design products and services considering human characteristics, capabilities and limitations in information processing, as well as develop and implement solutions/interventions in various human-machine systems for positive and satisfactory user experience. | |||||||||
| ESM4002 | Probability Models | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| Models representing uncertainty are discussed. Modeling and analysis techniques are introduced based on the theory of probability and stochastic processes. | |||||||||
| ESM4002 | Probability Models | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| Models representing uncertainty are discussed. Modeling and analysis techniques are introduced based on the theory of probability and stochastic processes. | |||||||||
| ESM4005 | Statistical Data Analysis | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| This course first investigates data collection and data analysis and then covers computer software usages in the data analysis process. Topics include data collection, data classification, analysis and presentation, and the relationship between R&D and data analysis. | |||||||||
| ESM4005 | Statistical Data Analysis | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| This course first investigates data collection and data analysis and then covers computer software usages in the data analysis process. Topics include data collection, data classification, analysis and presentation, and the relationship between R&D and data analysis. | |||||||||