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2023 Faculty Courses School of Engineering Undergraduate major in Industrial Engineering and Economics

Mathematical Engineering

Academic unit or major
Undergraduate major in Industrial Engineering and Economics
Instructor(s)
Ryuji Uozumi
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
5-6 Mon (W8E-101) / 5-6 Thu (W8E-101)
Class
-
Course Code
IEE.A203
Number of credits
200
Course offered
2023
Offered quarter
3Q
Syllabus updated
Jul 8, 2025
Language
Japanese

Syllabus

Course overview and goals

This course provides inner product space, eigenvalues, differential equation, Laplace transform, and Fourier series.

Students are required to learn linear algebra and analysis in the field of industrial engineering. Students will learn about the fundamentals of linear algebra and analysis.

Course description and aims

This course develops and enriches the fundamental skills in foundational math as follows: inner product space, eigenvalues, differential equation, Laplace transform, and Fourier series.

Keywords

mathematics, industrial engineering, inner product space, differential equation

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

The lecturer will repeat the lectures and exercises.

Course schedule/Objectives

Course schedule Objectives
Class 1 Inner product Understand the contents of section 18-1 of textbook.
Class 2 Projection Understand the contents of section 18-2 of textbook.
Class 3 Gram Schmidt's orthogonalization Understand the contents of section 18-3, 19-1 of textbook.
Class 4 Subspace and Orthogonal Understand the contents of section 19-2,3 of textbook.
Class 5 Eigenvalues • eigenvector Understand the contents of section 20-1,2 of textbook.
Class 6 The case of a symmetric matrix Understand the contents of section 20-3,4 of textbook.
Class 7 Application of Eigenvalues and Eigenvectors (1) Understand the contents of section 21-1,2 of textbook.
Class 8 Application of Eigenvalues and Eigenvectors (2) Understand the contents of section 21-3.4 of textbook.
Class 9 Differential Equation Understand the contents of 23-1,2 of textbook.
Class 10 1st Order Differential Equation Understand the contents of 22-2,3 of textbook.
Class 11 High Order Differential Equation Understand the contents of 22-4 of textbook.
Class 12 Laplace Transform (Exercise) Understand the contents of 23-1 of textbook.
Class 13 Properties of Laplace Transform (Lecture) Understand the contents of 23-2 of textbook.
Class 14 Final Exam Check the level of understanding

Study advice (preparation and review)

To enrich 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 materials.

Textbook(s)

Miyakawa, Mizuno, Yajima. Mathematics of Industrial Management, Asakura Publishing, 2004 (Japanese)

Reference books, course materials, etc.

Unspecified

Evaluation methods and criteria

Exercise problems and final exam

Related courses

  • IEE.A201 : Basic Mathematics for Industrial Engineering and Economics
  • IEE.A202 : Mathematics for Industrial Engineering and Economics

Prerequisites

No prerequisites