2020 Basic Mathematics for Industrial Engineering and Economics

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Undergraduate major in Industrial Engineering and Economics
Matsui Tomomi 
Course component(s)
Mode of instruction
Day/Period(Room No.)
Tue7-8(S011)  Fri7-8(S011)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

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.

Student learning outcomes

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.


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

Competencies that will be developed

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/Required learning

  Course schedule Required learning
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

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.
They should do so by referring to textbooks and other course material.


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

Reference books, course materials, etc.

None required

Assessment criteria and methods

To Be Determined(Midterm and final exams 70%, exercise problems 30%.)

Related courses

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

Prerequisites (i.e., required knowledge, skills, courses, etc.)

No prerequisites are necessary, but enrollment in related courses is desirable.

Page Top