For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ESM4010 | Telecommunication Networks | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Korean | Yes | |
| Telecommunication networks are essential parts for modern IT systems and organizations. In this course we study data communication theory such as protocols, network topology, OSI models, TCP/IP, LAN, WAN, telecommunication hardware systems, ethernet, fast ethernet, ATM, internet, intranet, and WWW. | |||||||||
| ESM4010 | Telecommunication Networks | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | Korean | Yes |
| Telecommunication networks are essential parts for modern IT systems and organizations. In this course we study data communication theory such as protocols, network topology, OSI models, TCP/IP, LAN, WAN, telecommunication hardware systems, ethernet, fast ethernet, ATM, internet, intranet, and WWW. | |||||||||
| ESM4013 | Web Information System | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| This course deals with the technologies related to the building of web-based information systems. Some of the major topics covered in this course are information systems architecture under web environment, EDI (Electronic Data Interchange), DTD (Document Type Definition), application of XML, web publishing, linking database to the web, automatic retrieval and processing of web information, design and use of intelligent agent, strategic use of web information, and BPR and ERP under web environment. | |||||||||
| ESM4013 | Web Information System | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| This course deals with the technologies related to the building of web-based information systems. Some of the major topics covered in this course are information systems architecture under web environment, EDI (Electronic Data Interchange), DTD (Document Type Definition), application of XML, web publishing, linking database to the web, automatic retrieval and processing of web information, design and use of intelligent agent, strategic use of web information, and BPR and ERP under web environment. | |||||||||
| ESM4014 | Human Information Processing | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| This course provides graduate students with the theories and studies on human information processing, including signal detection theory, human capabilities and limitations in information processing, and ROC curves. The methodological emphasis incorporates a wide variety of mathematical modeling and experimental techniques. | |||||||||
| ESM4014 | Human Information Processing | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| This course provides graduate students with the theories and studies on human information processing, including signal detection theory, human capabilities and limitations in information processing, and ROC curves. The methodological emphasis incorporates a wide variety of mathematical modeling and experimental techniques. | |||||||||
| ESM4025 | Experimental Data Analysis | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | 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 software. | |||||||||
| ESM4025 | Experimental Data Analysis | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | 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 software. | |||||||||
| ESM4026 | Discrete Optimization | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| In this course we study optimization of discrete structure. We study mathematical theory and application of discrete optimization. We study modeling methods, polyhedral theory, computational complexity, branch-and-bound algorithm, cutting plane algorithm, and approximation theory. We emphasis on practical application and computational algorithm development. We also review current status of research in discrete optimization. | |||||||||
| ESM4026 | Discrete Optimization | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| In this course we study optimization of discrete structure. We study mathematical theory and application of discrete optimization. We study modeling methods, polyhedral theory, computational complexity, branch-and-bound algorithm, cutting plane algorithm, and approximation theory. We emphasis on practical application and computational algorithm development. We also review current status of research in discrete optimization. | |||||||||
| ESM4027 | Meta Heuristic | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| In this course we study meta heuristic algorithm for hard problems in system optimization. Modeling methods, computational complexity theory, local improvements, simulated annealing, tabu search, and genetic algorithm are studied. The students are going to have experiences in application of a meta heuristic method for his/her own problem. | |||||||||
| ESM4027 | Meta Heuristic | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| In this course we study meta heuristic algorithm for hard problems in system optimization. Modeling methods, computational complexity theory, local improvements, simulated annealing, tabu search, and genetic algorithm are studied. The students are going to have experiences in application of a meta heuristic method for his/her own problem. | |||||||||
| ESM4028 | Network Theory and Applications | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| We study graph theory and network modeling in production, manufacturing, and system industries. We also study complex network theory such as random graph, scale-free network, and small world theory. By this course, students can get knowledge and experience for using network modeling & analysis and basic study for future theoretical research. | |||||||||
| ESM4028 | Network Theory and Applications | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| We study graph theory and network modeling in production, manufacturing, and system industries. We also study complex network theory such as random graph, scale-free network, and small world theory. By this course, students can get knowledge and experience for using network modeling & analysis and basic study for future theoretical research. | |||||||||
| ESM4029 | Intelligent Information System | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| As the progress of Artificial Intelligence and Expert Systems (AI/ES) technologies, the MIS managers need to understand not only the fundamentals of AI/ES, but also their relationships with the existing information systems technologies such as database and mathematical models. To meet this need, this course teaches the basic concepts and development tools of AI/ES and applies them to the managerial decision support. The discussing cases and performing project are encouraged to learn the real world experience of developing intelligent information systems. This course concentrates on the survey and research of latest AI theories. Area of interest includes reasoning methods, machine learning, understanding planning, case-based reasoning, and neural network. | |||||||||