科目ナンバー

GM-OI2-GE05

履修条件・関連科目等

It is strongly recommended that students take this course AFTER completing the following courses:
- Introductory Mathematics for Management (経営数学入門)
- Mathematics for Management (経営数学)
- Introduction to Statistics for Management (経営統計入門)

授業で使用する言語

英語

授業で使用する言語（その他の言語）

授業の概要

This course covers linear programming, inventory control, decision-making under risk and uncertainty, and game theory.

科目目的

This course is designed to introduce students to selected quantitative methods that are useful in decision-making situations. If you are interested in studying a specific method in more depth, please refer to other resources in the list of references made available at manaba.

到達目標

Upon successful completion of this course, students will be able to
- identify situations where quantitative methods can be used.
- formulate and solve linear programming problems.
- appropriately formulate models for inventory management and derive solutions.
- understand the basics of expected utility theory and explain its relationship with attitudes toward risk.
- use game theory for the analysis of behavior in strategically interactive situations.

授業計画と内容

(The schedule is subject to change.)

1. Guidance
2. Linear Programming Part 1
3. Linear Programming Part 2
3. Inventory Control: Economic Order Quantity
4. Review of Probability Distributions
5. Newsvendor Problem
6. Review 1
7. Midterm Exam
8. Decision-Making Under Risk and Uncertainty Part 1
9. Decision-Making Under Risk and Uncertainty Part 2
10. Game Theory Part 1
11. Game Theory Part 2
12. Game Theory Part 3
13. Review 2
14. Final Review

授業時間外の学修の内容

指定したテキストやレジュメを事前に読み込むこと／授業終了後の課題提出

授業時間外の学修の内容（その他の内容等）

授業時間外の学修に必要な時間数／週

・毎週１回の授業が半期（前期または後期）または通年で完結するもの。１週間あたり４時間の学修を基本とします。
・毎週２回の授業が半期（前期または後期）で完結するもの。１週間あたり８時間の学修を基本とします。

成績評価の方法・基準

成績評価の方法・基準（備考）

- If you are absent for four or more of the 12 classes, excluding the first day of class and the day of the midterm exam, you will receive a grade of F no matter what exam scores you receive.

課題や試験のフィードバック方法

授業時間内で講評・解説の時間を設ける

課題や試験のフィードバック方法（その他の内容等）

アクティブ・ラーニングの実施内容

実施しない

アクティブ・ラーニングの実施内容（その他の内容等）

授業におけるICTの活用方法

実施しない

授業におけるICTの活用方法（その他の内容等）

実務経験のある教員による授業

いいえ

【実務経験有の場合】実務経験の内容

【実務経験有の場合】実務経験に関連する授業内容

テキスト・参考文献等

I. Textbooks
There is no textbook for this course. Lecture slides will be uploaded to manaba. More information will be given on the first day of class.

II. References
1. William Mendenhall, Robert J. Beaver, Barbara M. Beaver. (2020). Introduction to Probability and Statistics,
15th edition. Cengage Learning.
2. Stefan Waner and Steven R. Costenoble. Finite Mathematics and Applied Calculus 7th Edition. Cengage Learning.

Note: An updated list of references will be made available in due course.

その他特記事項

参考URL