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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)
- Tanaka Hiroto
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-8(S2-203(S222) ，I3-302，303，310)
- Group
- -
- Course number
- MEC.B201
- Credits
- 2
- Academic year
- 2024
- Offered quarter
- 2Q
- Syllabus updated
- 2024/3/29
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course offers lectures and exercises on the fundamentals of computer systems and programming languages, as well as the basics of numerical analysis methods applicable to engineering. Students will learn the following numerical analysis methods and necessary knowledge:
1. Errors in numerical calculations.
2. Various methods for solving systems of linear equations, which are fundamental techniques in numerical calculation.
3. Methods for solving nonlinear equations.
4. Interpolation methods.
5. Numerical integration methods.
Student learning outcomes
The learning objectives are as follows:
1. Understand the basic mechanisms of computer systems and programming languages.
2. Become able to create and execute programs in the C language.
3. Become able to develop programs that perform various numerical analyses
Keywords
Programming, Numerical computation, C language
Competencies that will be developed
| Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | Practical and/or problem-solving skills |
| ✔ Ability to solve new problems and make creative proposals by utilizing advanced and specialized knowledge in mechanical engineering | ||||
Class flow
Lectures and exercises will be conducted in person. For the exercises, students are required to use their own laptops that they bring to class.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Overview of programming languages and fundamentals of C language (conditional branches and loops, etc.) | Understanding the mechanics of computers and programs. Create and execute simple programs in C language. |
| Class 2 | Basic calculation in C language (conditional branches and loops, etc.) | Understand the basic calculation methods in C language such as conditional branching and looping. |
| Class 3 | Arrays and Pointers: Become proficient in using arrays and pointers. | Become proficient in using arrays and pointers. |
| Class 4 | Functions and File Input/Output | Become proficient in using functions. Learn how to read data from files and write results to files. |
| Class 5 | Errors in numerical calculations and solutions to systems of linear equations | Understand the errors in numerical calculations. Comprehend Gaussian elimination. |
| Class 6 | Numerical Solutions to Nonlinear Equations and Interpolation Methods | Understand the Bisection method and Newton's method. |
| Class 7 | Numerical integration methods and interpolation methods. Other applications. | Understand the principles of Gauss-Legendre integration and Lagrange Interpolation Polynomial. Practice other applications. |
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 by referring to textbooks and other course material.
Textbook(s)
N.A.
Reference books, course materials, etc.
Instruction manuals and course materials provided by the lecturers.
Assessment criteria and methods
Understanding of the basics of programming and mathematical computation will be evaluated by final exam (about 60%), assignments, and exercises (40%). There is a possibility to cancel the final exam.
Related courses
- MEC.B221 ： Statistical data analysis
- MEC.B222 ： Fundamentals of computational mechanics
- MEC.K332 ： Finite Element Analysis
- LAS.I121 ： Computer Science I
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students must bring their own Windows laptop PC to the class. Microsoft Visual Studio Community 2022 (or 2019) should be installed. Installation methods will be instructed via T2SCHOLA. The laptop PCs and software will be used in the first lecture.
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
Hiroto Tanaka: tanaka.h.cb[at]m.titech.ac.jp
Office hours
Contact by e-mail. If you'd like to have a face-to-face meeting, make an appointment in advance.
