シラバス Syllabus

授業名 Introduction to BBA Fall
Course Title Introduction to BBA Fall
担当教員 Instructor Name Qin Dan
コード Couse Code NUC408_N20B
授業形態 Class Type 講義 Regular course
授業形式 Class Format
単位 Credits 2
言語 Language EN
科目区分 Course Category
学位 Degree BBA
開講情報 Terms / Location 2020 UG Nisshin Term3

授業の概要　Course Overview

Misson Statementとの関係性 / Connection to our Mission Statement

授業の目的（意義） / Importance of this course

This is a methodology course aiming at providing an essential mathematical and statistical toolkit to case analysis in other courses of the BBA program. We will emphasize intuition and applications in business and economics. We will cover calculus, probability, and statistics.

到達目標 / Achievement Goal


本授業の該当ラーニングゴール　Learning Goals

*本学の教育ミッションを具現化する形で設定されています。

LG1 Critical Thinking
LG4 Effective Communication

受講後得られる具体的スキルや知識　Learning Outcomes


Upon the completion of this course, students are expected to understand basic calculus, probability theory, and statistics. They are also expected to employ these tools to solve problems in other courses.

SDGsとの関連性　Relevance to Sustainable Development Goals

教育手法　Teaching Method

教育手法 Teaching Method % of Course Time
インプット型 Traditional 70 %
参加者中心型 Participant-Centered Learning ケースメソッド Case Method 20 %
フィールドメソッド Field Method 10 %
合計 Total 100 %

事前学修と事後学修の内容、レポート、課題に対するフィードバック方法　Pre- and Post-Course Learning, Report, Feedback methods

The course mainly uses graphical illustration to help student build intuition. We will assign several short cases and reading materials to motivate the concept. Students are expected to spend no less than 2 hours in preparation before each session. Active participation in class discussion is expected and required.

授業スケジュール　Course Schedule

第1日（Day1）

Introduction
Mathematical logic and set theory
Functions and graphs
Utility function, demand function, supply function, grow function and interest rate


第2日（Day2）

Limit
Rate of change and derivatives
Marginal analysis and unconstrained optimization
Graphical illustration of derivatives
Graphical illustration of rules of differentiation


第3日（Day3）

Two variables
Illustration of Higher order derivatives
Convexity and concavity
Optimization and Lagrange multipliers


第4日（Day4）

Integral
Surplus and welfare
Probability

第5日（Day5）

Conditional probability
Random variable
Density and cumulative distribution function


第6日（Day6）

Discrete probability distribution
Continuous probability distribution


第7日（Day7）

Samples and descriptive statistics
Estimation
Hypothesis testing


成績評価方法　Evaluation Criteria

*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
講師用内規準拠 Method of Assessment Weights
コールドコール Cold Call 0 %
授業内での挙手発言 Class Contribution 70 %
クラス貢献度合計 Class Contribution Total 70 %
予習レポート Preparation Report 0 %
小テスト Quizzes / Tests 0 %
シミュレーション成績 Simulation 0 %
ケース試験 Case Exam 0 %
最終レポート Final Report 30 %
期末試験 Final Exam 0 %
参加者による相互評価 Peer Assessment 0 %
合計 Total 100 %

評価の留意事項　Notes on Evaluation Criteria

使用ケース一覧　List of Cases

    ケースは使用しません。

教科書　Textbook

  • Ian Jacques「Mathematics for Economics and Business (The textbook is not necessary for this course)」Prentice Hall（2009）0273722166

参考文献・資料　Additional Readings and Resource

Reading materials will be distributed. The textbook serves as a reference.

授業調査に対するコメント　Comment on Course Evaluation

N/A

担当教員のプロフィール　About the Instructor　


2015年早稲田大学経済学研究科博士後期終了。同年に早稲田大学より博士（経済学）を取得。その後、早稲田大学政治経済学部助手、東北大学経済学研究科准教授を経て、２０２０年より本学に着任。
Dr. Dan Qin is Associate Professor at NUCB. He received his Ph.D. in economics from Waseda University. He joined NUCB in 2020 after working as research associate at Waseda University and associate professor at Tohoku University. His main fields of interest are microeconomic theory and behavioral economics.



Refereed Articles

  • (2024) Differentiating roles of the reference alternative. Games and Economic Behavior
  • (2024) A simple model of two-system choice. Journal of Mathematical Economics
  • (2021) A Note on Numerical Representations of Nested System of Strict Partial Orders. Games
  • (2021) Exclusive shortlisting choice with reference. Economics Letters
  • (2020) A Note on Reference-Dependent Choice with Threshold Representation. The B.E. journal of theoretical economics






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