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Department of Informatics

photo“Information” is the origin of human intellect and sensibility, and plays a central role in natural and artificial systems. Informatics is the study of “information,” from the viewpoint of the foundation of sciences. Through systematic education and research in this new type of fundamental science and supporting not only science and engineering but humanities from the viewpoint of informatics, the Department of Informatics aims to nurture researchers and engineers who have advanced expertise and are capable of contributing to the information science.

To achieve this goal, the department is comprised of three divisions: Mathematical Informatics, Intelligence Science and Computational Science. Mathematical Informatics studies the construction and analysis of mathematical models related to information. Intelligence Science studies cognitive science, as well as fundamental theories in information theory and their application to intelligent systems, with an aim to explore the principles of human intellectual information processing. Computational Science (operating in cooperation with the Research Institute for Information Technology) studies foundations of computational science that span the field of simulation.

Informatics is an emerging synthetic science regarding information, that encompasses traditional information science as well as humanities with foundations in information science. With these divisions, the department aims to explore new methodologies and perspectives in informatics, and establish the basis for the creative development of informatics.

Mathematical Informatics

Mathematical Informatics studies the construction and analysis of mathematical models related to information. The division aims to promote the application of information systems to science and technology fields and educate students, enabling them to contribute to the development of the fields, by capturing various phenomena in the fields from the viewpoint of informatics and by constructing and analyzing information models, making full use of mathematical methods.

While emphasizing educational foundations such as algebra, geometry and probability, the division also provides education on chaos theory, information theory, computational theory, algorithms, numerical analysis, cryptography and distributed systems, which are essential for the construction and analysis of mathematical informatics models. This allows fostering of abilities that actively working engineers and researches must posses, that is, the ability to find, formulate (model) and solve problems.

Intelligence Science

The Division of Intelligence Science scientifically pursues human intellect and behavior and at the same time aims to establish fundamental technologies of information science for assisting intellectual activities of human beings, as well as plan application and development.

More specifically, the division aims to construct a human friendly environment from a cognitive science viewpoint, through education and research on the elucidation and application of the characteristics of human sensation, cognition and behavior. The division also aims to provide information scientific assistance for human intellectual activities through education and research of: data/web/text mining, information visualization, automated recognition technologies, on-line decision making, machine learning, complexity of knowledge representations, editing, generating and searching of multimedia contents, with bases in basic theories of machine discovery and theory of computation.

Computational Sciences

Computational Science aims to establish fundamental technologies in modeling, parallel algorithms and high precision computation, as foundations of computational science that spans various fields of computer simulation.

More specifically, the division will focus on education and research on high performance computing, covering topics such as methods and algorithms for projecting and abstracting Multi-Scale Multi-Physics phenomena into mathematical models, massive parallelization of applications and quality and precision assurance of numerical computations. The main area of application and development will be in the field of molecular science and high precision eigenvalue analysis.