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2024 Faculty Courses School of Engineering Undergraduate major in Industrial Engineering and Economics

Basic Mathematics for Industrial Engineering and Economics

Academic unit or major
Undergraduate major in Industrial Engineering and Economics
Instructor(s)
Tomomi Matsui
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
7-8 Tue / 7-8 Fri
Class
-
Course Code
IEE.A201
Number of credits
200
Course offered
2024
Offered quarter
1Q
Syllabus updated
Mar 17, 2025
Language
Japanese

Syllabus

Course overview and goals

This course aims to enable students to understand basic mathematical tools widely applicable to construct models in economic and management situations. The topics include propositional logic, mapping and correspondence, equivalence relation, maximum and minimum.
Knowledge and ability through this course will help students to deal with real problems in management sciences and economics.

Course description and aims

At the end of this course, students will be able to:
Understand fundamental properties of propositional logic,
Understand fundamental properties of mapping and correspondence,
Understand fundamental properties of equivalence relation,
Understand fundamental properties of maximum and minimum.

Keywords

propositional logic, mapping and correspondence, equivalence relation, maximum and minimum

Competencies

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

Class flow

This class will be held in lecture form. If time allows, some exercise problems will be explained.

Course schedule/Objectives

Course schedule Objectives
Class 1 Logical operators Details will be given in each lecture.
Class 2 propositional logic
Class 3 propositional function
Class 4 inference
Class 5 sets and subsets
Class 6 set operations
Class 7 mapping and correspondence
Class 8 surjection and injection
Class 9 sequences
Class 10 family of sets
Class 11 equivalence relation
Class 12 equivalence class
Class 13 order relation
Class 14 maximum and minimum
Class 15 summary

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)

M. Miyakawa, S. Mizuno, and Y. Yajima,``Mathematics for industrial engineering,'' Asakura Publishing Co., Ltd., 2004.

Reference books, course materials, etc.

None required

Evaluation methods and criteria

To Be Determined (Regular face-to-face lessons: Midterm and final exams 70%, exercise problems 30%)

Related courses

  • IEE.A202 : Mathematics for Industrial Engineering and Economics
  • IEE.A203 : Mathematical Engineering

Prerequisites

In principle, undergraduate students of Department of Industrial Engineering and Economics, and undergraduate students of the 4-university union course can attend the class.

Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).

matsui.t.af[at]m.titech.ac.jp