For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ESM4047 | Logistics Management System | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| Logistics is a closely related concept of supply chain management that plans and controls forward and reverse flow and storage of goods, services, and information in the chain. From the raw materials to finished goods on the retail shelf, products must be repeatedly handled, stored, and moved. This course provides fundamental knowledge of logistics systems such as material management system, material flow system, and physical distribution system. This course is focused on locating facilities, freight transport, material handling systems such as automated guided vehicle, conveyor, overhead hoist transport, and design and control of automated warehouse systems. Students are expected to have basic knowledge of operations research and computer programming. The scope of this course is from basic forecasting methods for purchasing, inventory management, and distribution to facility location problems, warehouse management, and freight transport. The warehouse design and operation and material handling systems are especially handled in detail. The objectives of this course are to provide students with a broad overview of logistics and in-depth understanding of logistics management systems, and an understanding of concepts and solution approaches important to analyze the logistics operation of the systems. Course grading: Homework, Attendance & Quizzes, Project, Midterm exam, Final exam. Text: Introduction to Logistics Systems Management, Gianpaolo Ghiani, Wiley. | |||||||||
| ESM5001 | Queueing Theory | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course covers the analysis of the queueing systems and their applications. Stochastic nature of the queueing systems are analyzed and various performance measures are derived. | |||||||||
| ESM5002 | Advanced Simulation Methods | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| General issues on simulation methodologies and splicing a bridge between theory and simulation software will be discussed. New simulation languages(SLAM II) will be introduced. Major topics will be covered are: Random Number Generation, Random Variate Generation, Verification and Validation, Variance Reduction Techniques, Meta Modeling, and Simulation Output Analysis. | |||||||||
| ESM5003 | Software Quality Control | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course deals with the concept of software quality control, design quality, program quality and operational quality, software test, up-date recycling, software certification system and so on. | |||||||||
| ESM5006 | Application of Technological Forecasting | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This lecture mainly deals with practical application of technological forecasts for making decisions in both business firms and public organizations, It also contains the review of major forecasting methods of which frequently used are Delphi, scenario, relevance tree, correlation methods, technology assessment, etc. Some examples of forecasting errors and its preventive measures are included. | |||||||||
| ESM5007 | Seminars in Operations Research | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Papers including theories and applications of Operations Research are read and discussed. | |||||||||
| ESM5008 | Applied Probability Theory | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Applications of probability theory are covered. | |||||||||
| ESM5009 | Discrete Event Simulation | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Simulation is a powerful OR/MS tool for scientific decision making in various fields. In this course, we learn the advanced simulation methodologies, such as Random Number Generation, Output Analysis techniques, Variance Reduction Techniques, and Fast Simulation techniques. We spend substantial amount of class hours to learn a computer simulation language, ARENA. Students are asked to participate several simulation projects, out of text and/or real situation. | |||||||||
| ESM5010 | Seminar on Queueing Theory | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Papers in queueing theory are read and discussed. Criticism of papers are covered. | |||||||||
| 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. | |||||||||
| ESM5014 | Advanced Management Information Systems | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Students survey latest developments of MIS theories and learn how to apply CASE tools and various information system modeling techniques. Major topics covered are object oriented modeling technique, rapid application development, data warehouse, data mining, intelligent information system, executive information systems, organizational analysis, strategic information systems, and international information systems. | |||||||||
| ESM5016 | Service Management | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| This course deals with service management for competitive advantage, Major topics include service strategy and market position, strategic role of information in service, service delivery system, service facility design and layout, service facility location, service encounter, service quality, service capacity planning. | |||||||||
| 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. | |||||||||
| ESM5020 | Advanced Human-Computer Interaction | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| Deals with design for Human-Computer Interaction, including relevant underlying human sciences. An advanced course for theories, data, and measurement problems in various HCI problems, emerging technologies, and new issues in mobile and ubiquitous computing. Special emphasis is on systems involving information & communication and control. | |||||||||
| ESM5021 | Seminars on Ergonomics Research Methodology | 3 | 6 | Major | Master/Doctor | 1-4 | Industrial Engineering | - | No |
| The course covers complete issues on human performance models and data. Students learn how to design human factors related studies and experiments, including experimental design, modeling, instrumentation, statistical analysis, and other advanced techniques. The course requires laboratories, discussions, and a design project. | |||||||||