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Home > Faculties > Graduate Schools : Graduate School of Engineering > Science of Environment and Mathematical Modeling

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Graduate School of Engineering : Science of Environment and Mathematical Modeling (for Master)

Master’s Program

  1. Objective of Education and Research
    As exemplified in the political response of many nations to the current international issue of global warming, it is clear that environmental study is one of the most important sciences for contemporary society. Mathematical science, which is the basis of modern science and technology including the development of computers, is also becoming increasingly more important. This program strives to develop individuals who are able to deal with environmental issues in a scientific and integrated manner, and who are conversant with modern mathematics and its application to real-world problems. The program also aims to develop a new scientific awareness based on the interaction and integration of the two fields. To that end, an environmental science course and a mathematical science course have been developed in close association with each other. On the research side, the faculty members from the two fields share information and engage students in an active research forum, facilitating leading-edge research that enables education of the type described.

  2. Guidelines for Human Resource Development
    The master’s program aims to develop individuals with the following abilities
    1. Ability to apprehend and analyze problems scientifically
    2. Ability to consider environmental issues from a global perspective
    3. Ability to consider environmental issues from a life system science perspective
    4. Ability to analyze problems in science and engineering as exact sciences from a mathematical science perspective
    5. Ability to accurately extract problems among the many and varied real-world problems
    6. Ability to configure appropriate means and methods to solve posited problems
    7. Ability to communicate and accurately impart their own thoughts with an international perspective

Doctoral Program

  1. Objective of Education and Research
    The basic objective in relation to environmental science is not at all different from the master’s program. However, in contrast to the master’s program with its variety of problems for the near future, the doctoral program develops education and research from an even wider and deeper perspective. In other words, the objective is to develop researchers and leaders who have a broader temporal and spatial perspective of things like earth and planetary science. The objective is also to develop researchers and educators who configure profound mathematical theories that will serve as contributions at the world’s front lines, and who are themselves able to propose and analyze a variety of mathematical models on such theories.

  2. Guidelines for Human Resource Development
    The program objective is to develop individuals capable of contributing leading-edge research in environmental and mathematical sciences and technologies with the following abilities:
    1. Ability to contribute leading-edge research, using their extensive professional knowledge and creativity
    2. Ability to solve problems by establishing their own research projects and pursuing solutions
    3. Ability to communicate information regarding research products through scientific presentation.
    4. Ability to adopt an international perspective and participate in internationally related activities.

Faculty Research

Akira Hayashida

Analysis of magnetic properties of sediments and its application to environmental and tectonic studies

Takao Hayashi

History of mathematics in India

Yasuhiko Ito

New Materials and Processes for Environmentally Friendly New Energy Systems

Fujio Masuda

Earth Science and Designed Prevention, Surface geology and Geomorphology, Paleo- climatology

Taketomo Mitsui

Numerical analysis and its application to mathematical modeling

Masatsugu Morimitsu

Development of Air Batteries, Functional Electrode, and Biosensor Using Intelligent Catalyst

Hiroshi Takeda

Trees-soil systems in forest ecosystems: A main biological tator for bio-diversity

Hiroshi Tsuda

Research about asset pricing models and estimation of credit risk via a statistical approch

Yorimasa Oshime

Differential equations and their application

Mayumi Omiya

Mathematical study on nonlinear wave phenomena

Seiji Saito

Qualitative Analysis on Ordinary Differential / Fuzzy Differential Equations and Analysis on Chaos

Hiroshi Takeda

Plants-soil system in Forest Ecosystem

Yoshihide Watanabe

Application of Grobner Basis to Various Combinational Optimization Problems

Masakazu Yamashita

Science based studies of environmental disruption and policy


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