Industrial and Systems Engineering requires a basic knowledge of science and technology and mathematics as well as a grasp of subjects in the humanities and social sciences. The curriculum at the Department of Industrial and Systems Engineering is based around four main educational fields—human and systems, applied statistics and optimization, information science and artificial intelligence, and management and economics—that cover seven corresponding research fields.
Most systems are designed to be used by humans, and humans are usually a part of these systems. That is why we devise seamless systems that interpret and incorporate the traits of human behavior and psychology as well as those of machines and computers. Industrial and production engineering, human factors, and systems engineering all fall under the scope of this field and include research on human error, advanced road transport systems, and IC tagged production/logistics systems.
Students learn practical information system technologies such as programming, algorithms, software engineering, artificial intelligence, and machine learning. Research is also being conducted on the following subjects: AI that integrates knowledge and reasoning, spoken dialogue, image sensing, motion planning, and machine learning; distributed artificial intelligence technology that simulates the behavior of individuals and crowds to support the decision-making process and its application in disaster evacuation; development of autonomous general-purpose artificial intelligence that can coexist alongside people; and the application of deep learning to pattern recognition.
Students learn how to understand and analyze situations using data and use mathematical models to derive the most effective and efficient solutions. Subjects include statistical analysis, which involves collecting data and acquiring practical knowledge; quality management and engineering needed for manufacturing; construction of mathematical models that reflect real-world problems; and operations research, which uses mathematical methodologies to study management strategies and other issues.
Students learn how to solve problems related to management and economics, which are necessary for corporate management, from both an engineering and mathematical perspective. Subjects include business management theory, financial risk management, investment theory, accounting and marketing, and economic analysis and decision theory to support corporate decision-making. In addition, the field includes research on financial engineering, which includes asset management models, financial market analysis, and real options—and economics, including game theory and pricing mechanisms.
