Computational science and engineering (CSE) is a rapidly growing multidisciplinary area in connection with science, engineering, mathematics and computer science. CSE focuses on the development of problem-solving methodologies and robust tools for the solution of scientific and engineering problems and is nowadays regarded as a third paradigm in combination with theory and experiment. This course is designed to give a comprehensive overview of the fundamentals of CSE and to develop young engineers and researchers who have potentials to solve a broad range of problems.

This course is open as the class of

"Advanced Course on Interdisciplinary Engineering 2"

for Master's Course students and

"Advanced Course on Interdisciplinary Engineering B"

for Doctoral Course students.

The computer simulation and optimization of mathematical models can considerably reduce the time required for design and control of new products and processes. Computational Simulation Course is a nondepartmental, multidisciplinary program concentrated in applying methods and techniques from the fields of computer science and mathematics to emerging problems in sciences and engineering. This course gives a comprehensive overview of the fundamentals of CSE and develops young engineers and researchers who have potentials to solve autonomously a broad range of problems. Professors from the Department of Electrical, Mechanical, Civil and Information Science Engineerings offer the six course program that gives profound knowledge on Fundamental of Computational Simulations, Earth Environmental Preservation and Safety, Inverse Problems and Safety Engineering, Optimum Structural Design, Atomistic Nano-Device Simulation, and Electronic-Atomic Simulation for Material Design. Each lecture is well designed in cooperation with the other lectures.
　

For a thorough understanding of Computational Simulation Course, introduced are the basic concepts and fundamentals of computational simulation such as introduction to ordinary and partial differential equations, simple numerical methods for solving initial and boundary value problems, finite difference methods for solving heat and fluid flows, and finite element methods for solving solid mechanics problems.
　

The aim of this class is to understand the mathematical modeling of the mechanical behavior of the ground based on the geomechanics, taking into consideration of the effect of various natural conditions such as temperature, moisture, rainfall, evaporation and so forth. And the numerical simulation technique using the F.E. method is introduced to address the issues of geo-environmental problems.
　

Interest has grown on structural integrity of critical infrastructure, such as airplane and nuclear power plants. This subject focuses on structural safety evaluation method using inverse problems related to nondestructive testing.　　　　　　　
　

In the design of structures, it is necessary to verify and evaluate that the design candidates satisfy several conditions such as phisical ones and mechanical ones and they have desired functions. In this lecture, we study Finite Element Structural Analysis for evaluating stress, vibration characteristics and so on.

Atomistic theory of nano-devices and conceptual framework based on quantum mechanics are provided relating to electronic properties of nano-materials.

Computational schemes such as density functional theory, molecular dynamics and Monte-Carlo simulations are outlined for the material design based on the electronic/atomistic fundamentals.