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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 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
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- 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 Mechanical Engineering
- Instructor(s)
- Aoki Takayuki Tanaka Tomohisa Xiao Feng
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-8(石川台3号館302,303,310号室)
- Group
- -
- Course number
- MEC.K231
- Credits
- 2
- Academic year
- 2019
- Offered quarter
- 1Q
- Syllabus updated
- 2019/6/25
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Recently, numerical calculation methods for numerical analyses of the experimental data or the development and designing of the product is actively used. Moreover, the social importance of a large scale numerical calculation methods by a super computer is rising. In this class, the programing technique will be lectured to learn basic knowledge about the computer systems and skills will be trained for practical usage.
In this class, a computer system, OS and elemental C-language will be lectured. By the practical training, programing techniques to treat a data for the engineering field and visualise the analytical result are acquired.
Student learning outcomes
By the end of this course, students will be able to:
1）build a program by C-Language.
2）program numerical analysis for the engineering field.
3）program for showing the analytical result visually.
Keywords
Computer program, Numerical analysis
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Every class some subjects are given. Thus, make program to solve it.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | About computer systems, OS, programming languages, and how to input and execute C-programs | Learn how to input and execute C-programs. |
| Class 2 | Primary C-language and flow chart (conditional branch, repetition) | Learn about flow chart and how to program conditional branch and repetition. |
| Class 3 | Array and pointer | Learn about array and pointer that is needed to treat determinant. |
| Class 4 | Function and input and output data of files | Lean about function and how to input and output data of files |
| Class 5 | Guide for numerical analysis | Learn about numerical analysis method to obtain answer that can not be solved by algebra. |
| Class 6 | Visualisation of the analysis results and practical programing | Learn about visualisation method of the anlysis result and make a practical program. |
| Class 7 | General practice | Integrate acquired programing techniques and create a practical program. |
| Class 8 | Confirmation of the learning progress state. | Confirm the learning progress state. |
Textbook(s)
N.A.
Reference books, course materials, etc.
Instruction manuals and course materials are provided or instructed to be downloaded.
Assessment criteria and methods
Students' ability to program and reports will be assessed. Final exams 50%, exercise problems 50%.
Related courses
- Fundamentals of Numerical Analysis
- LAS.I111 ： Information Literacy I
- LAS.I112 ： Information Literacy II
- LAS.I121 ： Computer Science I
- LAS.I122 ： Computer Science II
Prerequisites (i.e., required knowledge, skills, courses, etc.)
It is recommended that students who will join this class have already got credits of Information Literacy (LAS.I111, LAS.I112) and Computer Science (LAS.I121, LAS.I122).
