In recent days, it has become easy to obtain information from other fields due to the enhancement of information networks. As a result, in science and technology, with the increasing interaction between different fields, the so-called interdisciplinary studies or studies of boundary domains have been developing, and multidisciplinary and interdisciplinary people, who have thorough knowledge of various fields, are becoming more and more important. To meet such challenge, Department of Applied Mathematics was separated in April 1989, aiming at ‘mathematical sciences and engineering mathematics which contribute to the innovation of science and technology’

With the rapid development of science and technology, many things have come out from the interaction between Mathematics and the other fields. For instance, nonlinear partial differential equations and stochastic processes, which used to be objects of research in theoretical mathematics, are now being utilized as powerful tools for image processing, as the nature of their solutions has become unveiled. Also, as the performance of computers has made tremendous progress, more accurate and more efficient numerical methods have been developed and numerical simulations employing large-scale computations are providing powerful tools for practical problems.

When developing a new model, verification by means of mathematical analysis and numerical computation has become essential. The interpretation by theoretical analysis, detailed analysis based on numerical computations, and the comparison of these with experiments, altogether guide the modification of the model. At the same time, the cooperation of these three are important for establishing the model.

Indeed, the role-played by mathematical sciences and engineering mathematics in the progress of science and technology is immense. We are looking forward of playing a central role as bridges between various fields through mathematics.

In view of this we are running the following courses to activate the use of applied and industrial mathematics in the academia as well as in the industry, and to contribute to the program of this field.