For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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. | |||||||||
| ESM2001 | Operations Research and Practice Ⅰ | 3 | 6 | Major | Bachelor | 2-3 | Korean,Korean | Yes | |
| In this course we study decision problems and modeling for analysis and design of management systems. In OR 1 we study mainly deterministic models, and stochastic models are studied in OR 2. In this course, modeling, OR methodology, linear programming, network models, integer programming, nonlinear programming, game theory, and dynamic programming are studied. Students are expected to learn elementary levels of matrix theory and linear algebra. In practice hours students study business cases as team projects. We emphasis in modeling, solution procedures, and computer algorithms for real business application. | |||||||||
| ESM2003 | Engineering Economy | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| In this course we study cost concepts for systems, products, and services. We study basic economy concepts and analytic methods. From this course we can learn the importance of economic evaluation of engineering project and get ability of economic evaluation. | |||||||||
| ESM2005 | Scientific Work Management | 3 | 6 | Major | Bachelor | 4 | Korean | Yes | |
| Introducing various methodologies for improving work efficiency through standards of detailed works in production shops. Theories and methods of determining standard motions and times, and designing human-oriented working areas. Laboratory projects. | |||||||||
| ESM2006 | Technology Management | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This lecture plays a guiding role on the R&D management theory, and provides the principles for managing R&D activities effectively. It focuses mainly on the framework of R&D management theory, organization of R&D management, some properties of modern Science&Technology, corporate management and R&D, R&D productivity, effectiveness management, efficiency management, control and support of R&D, practical approach of research management; the principles of research management, case analysis of research activities, practical approach of development management; the principles of development management, case analysis of development activities. | |||||||||
| ESM2007 | Technological Innovation | 3 | 6 | Major | Bachelor | 2-3 | - | No | |
| This course deals with a variety of issues related to technological innovation, the major driving force to shape the world in which we now live. The innovation processes of key industrial technologies are historically reviewed in detail: electricity, steel, oil and chemicals, synthetic materials, mass production and automobile, electronics and computer, internet. Also important concepts and theories on the analysis of innovation process, technology and the economic growth and social environment, technology and ecology are also reviewed. | |||||||||
| ESM2009 | Applied Statistics I : Theory and Practice | 3 | 6 | Major | Bachelor | 2-3 | Korean,Korean | Yes | |
| This course introduces basic concepts of probability and statistics, descriptive methods for data analysis, random variables, probability distribution(discrete and continuous), and Normal distribution. Students taking this course are required to participate a problem solving practice session one hour per week. This course is a gateway course to all the courses offered by School of System Management Engineering. | |||||||||
| ESM2010 | Ergonomics | 3 | 6 | Major | Bachelor | 4 | Korean | Yes | |
| Introduction to Ergonomics and safety in the industrial environment. This course provides engineers with the fundamentals of human information processing, biomechanics, human capabilities and limitations, and evaluation. The course also emphasizing anthropometry, training, and safety for the control of hazardous conditions in industrial operations. | |||||||||
| ESM2011 | Introduction to Manufacturing Strategies | 3 | 6 | Major | Bachelor | 2-3 | - | No | |
| Based on manufacturing operations, factory automation material handling, GT, FMS, scheduling, automated manufacturing systems including AGVS, AS/RS and robots, line balancing for assembly systems, inspection systems, etc. are covered. Also, various manufacturing paradigms such as concurrent engineering, lean manufacturing, and agile manufacturing are important. Most subjects are in conjunction with performance optimization through quantitative modeling. | |||||||||
| ESM2012 | Quality Management and Engineering | 3 | 6 | Major | Bachelor | 2-3 | - | No | |
| This course is about the modern practice of quality management and engineering. Topics include quality competitiveness, strategy, ethics, leadership, quality function deployment, quality management system, benchmarking and others concerned on quality management technology, also include quality improvement in the modern business environment, modeling process quality, inferences about process quality , methods of statistical process control, quality assurance and so on based on quality control engineering. | |||||||||
| ESM2015 | Introduction to probability and statistics | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This course deals with basic concepts and applications of probability and statistics. Students will learn introductory probability and data analysis techniques which are widely used in various IE/SME courses. As basic concepts of probability, students will learn random variables, probability distributions, means and variances. As basic techniques of statistical inference, students will learn regression analysis and analysis of variance. This course will serve as a prerequisite course for Applied Statistics I, II and Operations Research II. | |||||||||
| ESM2016 | Exploratory Data Analysis | 3 | 6 | Major | Bachelor | 2-4 | Korean | Yes | |
| Exposition of the philosophy and tools of exploratory data analysis. Tools include graphical techniques, data transformation, robust and resistant summaries, residual analysis, and resampling methods. Application to the analysis real data sets, stressing alternative analysis using open source software R. | |||||||||
| ESM2017 | Object-oriented Programming Theory and Practice | 3 | 12 | Major | Bachelor | - | No | ||
| Exposition of the philosophy and tools of exploratory data analysis. Tools include graphical techniques, data transformation, robust and resistant summaries, residual analysis, and resampling methods. Application to the analysis real data sets, stressing alternative analysis using open source software R. | |||||||||