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Departments: Department of Systems Science

Department of Systems ScienceDepartment of Information ScienceDepartment of Computational Science


Department of Systems Science Overview
In the Department of Systems Science, the student pursues basic theories and methodologies for analyzing, designing, constructing, and operating systems of increasing size and complexity. The student works with concepts and functions that are common to a variety of systems, theoretically, scientifically, and in practice, without specializing in a specific engineering field, such as mechanical, electrical, or information engineering. Additionally, the student integrates software engineering and hardware engineering, pursues real world and information world connections, and acquires an academic education and research experience related to a wide variety of theories and engineering, from system infrastructure to integration.

Research Groups

Fundamentals of Systems Science

The Fundamentals of Systems Science provides the student with an education and research experience in the theoretical basics and methodologies for system analysis, design, construction, and operation.


Systems Planning

The Systems Planning research group promotes the innovative theories related to system optimisation methods, mathematical modeling methods, and system assessment and analysis methods based on system simulation techniques, statistical analysis techniques, and multi-agent techniques. This group provides the student with an education and research experience in the theories and practice of planning and operating an optimal robust system, with a focus on large-scale, complex systems, and autonomous distributed systems, such as production systems, business management systems, and social systems.


Optimum System Design

The Optimum System Design research group provides the student with an education and research experience in the theoretical framework for the construction of new design theories, rational design methods, and optimization design methods for systems having function and structure consistency, with a focus on mechanical systems. This group involves many elements and a variety of areas to ensure that the system achieves such an objective. The results of system design and operation are extensive. This research group fosters human resources capable of observing matters from a wide perspective and taking into account interrelationships with other research fields.


Applied Optics

The Applied Optics research group provides the student with an education and research experience in the methodology, and information science and technology for system measurement or measurement systematization. This research group covers areas of the measurement, processing, transmission, and display of multidimensional information, such as high speed, high dynamic range, high resolution, huge amount of data and spectral information, and the various devices that use such information. This research group fosters human resources capable of inventing and modeling a system toward enhanced or new functions, and using computational and optical methods to develop and expand advanced devices and systems.


Systems Control

The System Control research group provides the student with an education and research experience in system control theories and applications thereof, such as dynamical system expression and modeling techniques, control system characteristic analysis, control system design theories for control objective achievement, optimum control algorithms, control methods for the support of actual system uncertainties and restrictions, and computer aided design techniques based on the basic theories thereof. The group targets a variety of actual systems, fostering personnel capable of modeling dynamic system characteristics, appropriately establishing control specifications, and analyzing, designing, constructing, and operating control systems.



Innovation of Systems Science

The Innovation of Systems Science provides the student with an education and research experience in methodologies and techniques related to the realization of systems having near human intelligence, and system theories for intelligent system design.


Mathematical System Analysis

The Mathematical System Analysis research group provides the student with an education and research experience in theoretical analysis and numerical analysis techniques for continuous and discrete mathematical physical models that appear in mathematical engineering. This group addresses various research topics including verification of feedback stability in relation to a distributed control system and the construction of design methods thereof, optimum control theories of non-linear distributed systems, theoretical parameter identification problem solving and numerical analytical configurations of speculated solutions thereof, and variational analysis of non-linear distributed systems describing phase transition phenomena and numerical calculation methods thereof, and promotes the education and research of such topics.


System Analysis

The System Analysis research group promotes discourse on the following methodologies for the construction of system intelligence through actual system and virtual system interaction:
(a) Computational techniques for realizing perceptions and behavior circulatory functions for extracting and attaining knowledge from dissimilar pluralistic large-scale data
(b) Engineering configuration theories and realization techniques thereof for systems that realize actual system and virtual system interaction


Intelligent Systems

Development of an intelligent system requires the comprehensive mastery of system element technology and systemization technology, including that related to humans. The Intelligent Systems research group provides the student with an education and research experience in indispensable image data processing, media technology such as augmented reality, intellectual decision making, and the various technologies of information system construction involving human and system integration required for the development of intelligent systems, educating the student in the device, software, and systemization technologies of intelligent system development.



Applied Robot Science (Collaborative Program : Mitsubishi Electric Corporation)

Applied Robot Science

The Applied Robot Science research field provides the student with an education and research experience in system application methodologies and techniques, with a focus on the applicable aspects of system science and engineering theories and methodologies, targeting the construction theories of sensor information systems for recognizing system environments, theories of recognition and understanding of a three- dimensional world, rational planning and control theories for systems based on recognition information from sensor information processing systems, and FA systems and industrial robots. As a result, the field fosters engineers and researchers having advanced research and development skills related to the practice of system theories and methodologies.

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