Key Features of the Department of Industrial and Systems Engineering

The Department of Industrial and Systems Engineering considers science, technology, and management from diverse perspectives and approaches, using four key concepts: “people,” “objects,” “information,” and “money.” As such, in addition to fundamental knowledge in science and engineering, we provide education in statistical analysis and information processing, system analysis, industrial engineering, ergonomics, business management, and operations research, disciplines that serve as the foundations of the field.

The Department of Industrial and Systems Engineering, which aims to cultivate engineers with broad perspectives, envisions the ideal engineer as having a broad foundation and deep expertise in a specific field. As such, we not only offer a diverse range of courses, but also place great emphasis on fostering an independent and self-directed approach to learning, enabling students to think for themselves and cultivate deeper understanding.

Building upon a foundation of fundamental knowledge in science and engineering alongside mathematical elements, this program aims to foster an understanding of humanity and society through humanities and social science courses, thereby cultivating the all-round judgment skills required of corporate leaders and other top executives. Accordingly, the curriculum is structured around four core areas: “Systems and People,” “Applied Statistics and Optimization,” “Information Science and Artificial Intelligence,” and “Management and Economics.”

Our curriculum focuses on the following four key areas: (Items shown in parentheses are examples of research fields within each area)

Systems and People: This field examines systems composed of people, machines, information, and other elements. It seeks to identify principles and laws governing the characteristics of each component and the relationships between them, and addresses methods for analyzing and designing these systems. (IE, economic engineering, ergonomics, systems engineering)

Applied Statistics and Optimization: Building upon the foundations of mathematics and mathematical statistics, this field covers data processing techniques, the application of statistical methods across various disciplines, the fundamentals of modeling, and mathematical methods for optimization. (Quality control, multivariate analysis, mathematical model structure, OR)

Information Processing: The development of new methodologies and theories for effectively utilizing computers in information processing across various fields, focusing on humans and organizations, as well as the practice thereof. (Software engineering, programming theory, algorithm theory, information systems, artificial intelligence)

Management and Economics: This field addresses the management systems necessary for effectively planning and operating an organization’s business activities, methods for creating effective management plans, and techniques for calculating and evaluating management outcomes. It further covers the economic analysis of the systems and nations within which business activities take place. (Management theory, management accounting, management engineering, mathematical economics, economic analysis, decision theory)