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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
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- School of Computing
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
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- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Morikawa Hitoshi Akutsu Ayako Tomobe Haruka
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Tue1-2(南6号館「2F 219室」)
- Group
- -
- Course number
- CVE.M303
- Credits
- 1
- Academic year
- 2024
- Offered quarter
- 2Q
- Syllabus updated
- 2024/3/14
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Numerical analysis using computer is now important and essential skill for various fields. In this class, computer language Fortran 90/95, which is especially used in large-scale numerical computing, is used. By understanding basic grammar of the computer language and algorithms of major numerical-analysis methods, which are commonly used in research fields, basic programing skill will be acquired.
Through this course, students who don’t have any programming experience are expected to understand algorithms of major numerical-analysis methods and to be able to make basic program for numerical analysis.
Student learning outcomes
By the end of this class, students will be able to:
(1) understand basic grammar of the computer language,
(2) understand algorithms of major numerical-analysis methods, which are commonly used in research fields,
(3) acquire basic skills for applying the numerical analysis techniques to their own problems in their fields.
(4) understand basics of FEM and optimization technique and solve some problems using the algorithms.
Keywords
numerical analysis, algorithm, Fortran, programming, finite element method (FEM), numerical optimization, particle swarm optimization (PSO)
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Basics of programming and algorithms is trained through both lectures and exercises with using terminal of GSIC.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Lecture: Theory of numerical optimizations | Understanding for algorithms of numerical optimizations |
| Class 2 | Exercise: Implementation of numerical optimizations | Implementation for algorithms of numerical optimizations |
| Class 3 | Lecture: Theory of Poison's equation | Theory of Poison's equation |
| Class 4 | Exercise: Theory of Poison's equation | Numerical analysis of Poison's equation |
| Class 5 | Lecture: Theory of 1D wave equation | Theory of 1D wave equation |
| Class 6 | Exercise: Theory of 1D wave equation | Numerical analysis for 1D wave equation |
| Class 7 | Project and Q&A | Programing for the final project and Q&A etc. |
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)
Noting
Reference books, course materials, etc.
Handout will be distributed before beginning of class via T2SCHOLA.
Following textbook is recommended but will not be used in the course:
MAtsumoto, T. and Tokoroyama, T.: Fortran for everyone, Nagoya univ. press, 2022, ISBN978-8158-1087-0 (in Japanese, original title translated)
Ushijima, S.: Introduction to Fortran90/95 programming for numerical computation, 2nd ed., Morikita Publishing, 2020, ISBN978-4-627-84722-74 (in Japanese, original title translated)
Metcalf, M., Reid, J., and Chen, M.: Modern Fortran explained -- Incorporating Fortran 2018, Oxford university press, 2018, ISBN978-0-19-881188-6
Assessment criteria and methods
Learning achievement is evaluated by combining results from reports.
Related courses
- CVE.M301 ： Computers and Fundamental Programming A
- CVE.M302 ： Computers and Applied Programming
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Completing CVE.M301 or same level as CVE.M301 are strongly recommended.
Lectures and exercises will be conducted using the educational computer system of the University, though students may also install the computing environment on their own PCs. However, if the course is to be held online due to the reemergence of the COVID-19 or other reasons, students will have no choice but to use their own PCs for the exercises. Under such circumstances, students must own a PC with an OS such as Windows, MacOS, Linux, etc. to be able to take the course.
