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School of Engineering
- Undergraduate major in Mechanical Engineering
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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Department of Social and Human Sciences
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Mechanical Engineering
- Instructor(s)
- Nagasaki Takao Xiao Feng
- Class Format
- Lecture / Exercise (ZOOM)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon3-4(W521)
- Group
- -
- Course number
- MEC.B232
- Credits
- 1
- Academic year
- 2020
- Offered quarter
- 4Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Numerical analysis is a technique to solve mathematical problems in practical applications and has been used in many fields of mechanical engineering for research and development. This course explains fundamentals of numerical analysis and how to make computer programs in order to develop practical skills to utilize numerical analysis.
Student learning outcomes
By the end of this course, students will be able to:
1. Understand principles of basic methods of numerical analysis, such as numerical error, various methods to solve systems of linear equations, nonlinear equation, interpolation, and numerical integration, and apply them to practical problems.
2. Make computer programs to solve practical problems.
Keywords
Numerical analysis, System of linear equations, Nonlinear equation, Interpolation, Numerical integration
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
In the first half of the class, the principle and programming method of the topics are explained. In the latter half, students make computer programs and run them in exercises.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Numerical analysis and error | Understand errors in numerical analysis such as round-off errors. |
| Class 2 | Systems of linear equations (Direct method) | Understand Gaussian elimination. |
| Class 3 | Systems of linear equations (Point iterative method) | Understand SOR method. |
| Class 4 | Systems of linear equations (Conjugate gradient method) | Understand rapid convergence compared to point iterative method. |
| Class 5 | Nonlinear equations | Understand bisection method and Newton's method. |
| Class 6 | Interpolation | Understand Lagrange polynomial. |
| Class 7 | Numerical integration | Understand Gauss-Legendre integration. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None specified.
Reference books, course materials, etc.
Handouts will be provided.
Assessment criteria and methods
Students will be assessed on their understanding of the method and ability to make programs by exercises in every class.
Related courses
- MEC.K231 ： Exercise in Information Processing (Mechanical Engineering)
- MEC.B332 ： Applied Numerical Mathematics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students should bring laptop PC (Windows PC）
and have elementary knowledge on C programming.
