Mechanical Engineering Project 2

Course title

B0021000

	SATO Toyoto
	SAITO Hiroyasu
	NAKAMURA Shingo
	NAGASAWA Sumito
and more...
	YOSHIDA Shinya
	KAMEO Yoshitaka

Course description

Numerical analysis/simulation technology using computers is applied in a wide range of fields. Furthermore, in modern times, the importance of simulation technology that can reduce experiment costs is increasing due to the increasing complexity of phenomena handled by science and technology and the increasing performance of computers that can analyze them. In this class, you will learn the basics of numerical analysis by actually doing programming. Furthermore, students will create programs to simulate physical phenomena and understand how equations representing phenomena are handled on computers. In addition, students will use advanced simulation tools to acquire simulation analysis techniques necessary for cutting-edge research.

Purpose of class

The purpose is to acquire numerical analysis and simulation techniques using programming and tools.

Goals and objectives

To be able to explain the relationship between numerical analysis and programming
To be able to create a basic numerical analysis program
To be able to create a program for basic physical phenomena
To be able to analysis using simulation tools

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Deliverables	Class Quizes	Total.
1.	0%	7%	7%
2.	25%	6%	31%
3.	25%	6%	31%
4.	25%	6%	31%
Total.	75%	25%	-

Evaluation method and criteria

The evaluation of the deliverables will be 75% and the in-class quizzes will be 25%, giving a total of 100%. If you can get 60% or more, you will pass.
A passing score of 60% is the minimum level at which analysis using programming and simulation techniques can be performed.

Language

Japanese(English accepted)

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Numeric Analysis Numeric analysis and programming	Programming the numeric analysis	190minutes
2.	Non-linear equation Programming for non-linear equation	Programming the non-linear equation	190minutes
3.	Numerical Integration Midpoint method, Trapezoidal rule, Simpson's rule	Programming the Simpson's rule	190minutes
4.	Ordinary Differential Equation Euler method, Runge-Kutta method	Programming the Runge-Kutta method	190minutes
5.	Partial Differential Equation (1) Explicit method, Implicit method	Programming the implicit method	190minutes
6.	Partial Differential Equation (2) Crank-Nicolson method	Programming the Crank-Nicolson method	190minutes
7.	Partial Differential Equation (3) Numerical calculation of wave equation	Students should work on issues according to the guidance of the lecturers.	190minutes
8.	Algorithms for solving systems of linear equations (1) Direct method	Programming Gaussian elimination	190minutes
9.	Algorithms for solving systems of linear equations (2) Iteration method	Programming the conjugate gradient method	190minutes
10.	Formulation of finite element method (1) Principle of virtual work	Survey on the formulation of the finite element method	190minutes
11.	Formulation of finite element method (2) Discretization	Survey on the formulation of the finite element method	190minutes
12.	Formulation of finite element method (3) Boundary condition	Survey on the formulation of the finite element method	190minutes
13.	Finite element analysis using simulation software (1) Infinitesimal deformation	Learn how to use the finite element analysis software	190minutes
14.	Finite element analysis using simulation software (2) Large deformation	Understanding the results of the finite element analysis	190minutes
Total.	-	-	2660minutes

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

Each lecturer prepares materials and gives instructions as appropriate.

Prerequisites

Programming experience in C language is required.

Office hours and How to contact professors for questions

Office hour for each lecturer is specified on Scomb.

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge
Course that cultivates a basic interpersonal skills
Course that cultivates a basic self-management skills
Course that cultivates a basic problem-solving skills

Active-learning course

About half of the classes are interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
N/A	N/A

Education related SDGs:the Sustainable Development Goals

7.AFFORDABLE AND CLEAN ENERGY
9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
12.RESPONSIBLE CONSUMPTION & PRODUCTION

Last modified : Wed Apr 02 04:11:01 JST 2025