For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ESM4029 | Intelligent Information System | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | 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. | |||||||||
| ESM4032 | Stochastic Processes | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
- | No | |
| Theories and analyses of the stochastic processes occurring in industry are covered. | |||||||||
| ESM4032 | Stochastic Processes | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Industrial Engineering | - | No |
| Theories and analyses of the stochastic processes occurring in industry are covered. | |||||||||
| ESM4035 | Usabillity Engineering | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| Introduction to Usability in Web and Human-Computer Interface design. The course introduces definition, evaluation techniques, measurement details, and case studies. Students can learn how to design Web pages and various products for enhancing usability, and how to evaluate the usability through term projects. | |||||||||
| ESM4035 | Usabillity Engineering | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| Introduction to Usability in Web and Human-Computer Interface design. The course introduces definition, evaluation techniques, measurement details, and case studies. Students can learn how to design Web pages and various products for enhancing usability, and how to evaluate the usability through term projects. | |||||||||
| ESM4036 | Affective Information Processing | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course will cover the basic concepts of affective information processing to understand human capability of information processing in visual, auditory, and tactual modalities, and how to utilize this capability to induce human satisfaction in HCI. By examining diverse aspects of human affection in product design, students will gain understandings in the technology acceptance and affection in user experience design. | |||||||||
| ESM4036 | Affective Information Processing | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| This course will cover the basic concepts of affective information processing to understand human capability of information processing in visual, auditory, and tactual modalities, and how to utilize this capability to induce human satisfaction in HCI. By examining diverse aspects of human affection in product design, students will gain understandings in the technology acceptance and affection in user experience design. | |||||||||
| ESM4037 | Financial Engineering | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course covers investment science and financial engineering for the business corporations. Interest concepts, cash flows, fixed interest assets, interest analysis, mean-variance portfolio, and CAPM are studied. We also studied financial derivatives, option theories, futures, binomial tree model, Black-Scholes modlel. interest rate derivative models. | |||||||||
| ESM4037 | Financial Engineering | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| This course covers investment science and financial engineering for the business corporations. Interest concepts, cash flows, fixed interest assets, interest analysis, mean-variance portfolio, and CAPM are studied. We also studied financial derivatives, option theories, futures, binomial tree model, Black-Scholes modlel. interest rate derivative models. | |||||||||
| ESM4038 | Business Risk Management | 3 | 6 | Major | Bachelor/Master | 1-4 | - | 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. | |||||||||
| 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 | - | 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. | |||||||||
| 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. | |||||||||
| ESM4040 | Analysis of Variance and Regression Analysis | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course pursues students' deep understanding in various technical methods in experimental design, ANOVA, and regression analysis. This course particularly emphasizes analytical perspectives of experimental outcome and data through exercises and real case studies. | |||||||||
| ESM4040 | Analysis of Variance and Regression Analysis | 3 | 6 | Major | Bachelor/Master | 1-4 | Industrial Engineering | - | No |
| This course pursues students' deep understanding in various technical methods in experimental design, ANOVA, and regression analysis. This course particularly emphasizes analytical perspectives of experimental outcome and data through exercises and real case studies. | |||||||||