2024 Faculty Courses School of Engineering Undergraduate major in Information and Communications Engineering
Numerical Analysis (ICT)
- Academic unit or major
- Undergraduate major in Information and Communications Engineering
- Instructor(s)
- Hirohiko Kaneko / Shoichi Hasegawa
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Tue / 1-2 Fri
- Class
- -
- Course Code
- ICT.M316
- Number of credits
- 200
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
Understand the principles and methods relating to numerical computation techniques by computers, and acquire the applicability to system simulation, analysis, etc.
Course description and aims
Obtain the ability to use the foundation of numerical computation and numerical solution methods of algebra and analysis.
Keywords
Numerical analysis
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Lecture and practice during class
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Basics of numerical calculation | Representation of numerical values in computer |
| Class 2 | Solving simultaneous linear equations 1 (Gaussian elimination method, LU decomposition method, etc.) | Understand the direct method |
| Class 3 | Solving simultaneous linear equations 2 (Jacobi method, Gauss-Seidel method, SOR method, etc.) | Understand the iterative method |
| Class 4 | Curve estimation 1 (Least squares method) | Understand least squares method |
| Class 5 | Curve estimation 2 (polynomial interpolation, function approximation) | Understand polynomial interpolation and function approximation |
| Class 6 | Nonlinear equations | Understand nonlinear equations |
| Class 7 | Solving algebraic equations, Review of the first half | Understand solving of algebraic equations |
| Class 8 | Norm, condition number and computing eigenvalues of a matrix (1) | Understand condition number and sensitivity, and computation methods for eigenvalues of a matrix |
| Class 9 | Computing eigenvalues of a matrix (2) | Understand computation methods for eigenvalues of a matrix |
| Class 10 | Numerical integral method | Understand numerical integral method |
| Class 11 | Solutions of ordinary differential equations 1 (Differentiation and Difference, Difference Equation) | Understand differentiation and difference, difference equations. |
| Class 12 | Solution method for ordinary differential equations 2 (initial value problem, boundary value problem) | Understand solving methods for initial value problem, boundary value problem |
| Class 13 | Solution of partial differential equation 1 (diffusion equation, implicit formula) | Understand solving methods for diffusion equation, implicit formula |
| Class 14 | Solving partial differential equations 2 (Wave equation, Laplace equation) | Understand solving methods for wave equation, Laplace equation. |
Study advice (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)
Materials used in class can be found on T2Schola.
Reference books, course materials, etc.
No English materials are used.
Evaluation methods and criteria
Evaluate 30% by the small reports and 70% in the exams.
Related courses
- ICT.M310 ： Mathematical Programming
- ICT.S302 ： Functional Analysis and Inverse Problems
- LAS.M101 ： Calculus I / Recitation
- LAS.M102 ： Linear Algebra I / Recitation
- LAS.M105 ： Calculus II
- LAS.M106 ： Linear Algebra II
Prerequisites
Completed linear algebra, differential integral classes.