| 授業名 | Introduction to BBA Spring |
|---|---|
| Course Title | Introduction to BBA Spring |
| 担当教員 Instructor Name | Dongyu Guo |
| コード Couse Code | NUC410_N20A |
| 授業形態 Class Type | 講義 Regular course |
| 単位 Credits | 2 |
| 言語 Language | EN |
| 学位 Degree | BBA |
| 開講情報 Terms / Location | 2020 UG Nisshin Term1 |
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 course aims to strengthen certain fundamentals in mathematics, statistics and probability that would better prepare students for technical elements in economics and finance courses. Furthermore, it can contribute to students’ ability to analyze information and data in case studies.
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
LG2 Diversity Awareness
LG4 Effective Communication
LG2 Diversity Awareness
LG4 Effective Communication
受講後得られる具体的スキルや知識 Learning Outcomes
If students complete the course successfully, they should be able to:
o demonstrate further mathematical and statistical knowledge,
o apply mathematics at varying levels to aid decision-making,
o construct appropriate models and interpret the associated results,
o demonstrate the wide applicability of mathematical models and, at the same time, identifying their limitations and possible misuse.
o demonstrate further mathematical and statistical knowledge,
o apply mathematics at varying levels to aid decision-making,
o construct appropriate models and interpret the associated results,
o demonstrate the wide applicability of mathematical models and, at the same time, identifying their limitations and possible misuse.
教育手法 Teaching Method
| 教育手法 Teaching Method | % of Course Time | |
|---|---|---|
| インプット型 Traditional | 80 % | |
| 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 | 0 % | 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
o Every week students need 0.5 hour to prepare each lecture in advance and at least 2.5 hour to review each lecture.
o As this course is instructed via the traditional teaching method, the first 20 minutes of each lecture from Week 2 onwards are devoted to students’ questions regarding the previous week’s content.
o There are two quizzes, which cover mathematics and probability respectively. They are reviewed in the last lecture.
o The final report relates to statistics and must be submitted in the last lecture. Comments and feedback are provided two weeks after the submission.
o As this course is instructed via the traditional teaching method, the first 20 minutes of each lecture from Week 2 onwards are devoted to students’ questions regarding the previous week’s content.
o There are two quizzes, which cover mathematics and probability respectively. They are reviewed in the last lecture.
o The final report relates to statistics and must be submitted in the last lecture. Comments and feedback are provided two weeks after the submission.
授業スケジュール Course Schedule
第1日（Day1）
Functions- utility function, demand function, supply function, break-even point; Limit- simple interest, compound interest.第2日（Day2）
Derivatives- concave function, convex function, maxima, minima and corner solutions of a function, marginal analysis, price elasticity, L’Hospital’s rule.第3日（Day3）
Integral- consumer surplus, supply surplus, total welfare; Quiz 1; Introduction to probability- basic probability rules.第4日（Day4）
Classical probability distributions- uniform, Bernoulli, binomial, normal, logistic distribution, etc.; Bayes’ theorem.第6日（Day6）
Logic of hypothesis testing- type I error, type II error; Regression- linear regression, multiple regression.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。
*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 | 10 % |
| 授業内での挙手発言 Class Contribution | 10 % |
| クラス貢献度合計 Class Contribution Total | 20 % |
| 予習レポート Preparation Report | 0 % |
| 小テスト Quizzes / Tests | 50 % |
| 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
教科書 Textbook
- Alpha C. Chiang and Kevin Wainwright「Fundamental Methods of Mathematical Economics (The textbook is not necessary for this course)」McGraw-Hill Education（2005）978-0071238236
参考文献・資料 Additional Readings and Resource
David Lane. Introduction to Statistics. 2003. http://onlinestatbook.com/index.html
授業調査に対するコメント Comment on Course Evaluation
NA
担当教員のプロフィール About the Instructor
Dongyu Guo received a Ph.D. in economics from the Humboldt University of Berlin (HU), and an M.Sc. in statistics from the London School of Economics and Political Science (LSE).
Her research interests lie primarily in the fields of industrial organization, competition policy, regulation, and, more broadly, applied microeconomic theory. She has published in the main international economics journals in her research field (International Journal of Industrial Organization, etc.), as well as in general interest economics journals (such as European Economic Review).
（実務経験 Work experience）
Prior to joining NUCB Business School in 2020, she was a Research Fellow for the Chair of Microeconomics and International Economics at the University of Duisburg-Essen, Germany.
Refereed Articles
- (2020) Regulatory risk, vertical integration, and upstream investment. European Economic Review 128
- (2020) Mergers with Structural Remedies in a Cournot Oligopoly. Theoretical Economics Letters 10(2): 2162-2078
- (2017) Asymmetric price adjustments: A supply side approach. International Journal of Industrial Organization 50
- (2015) Mergers between regulated firms with unknown efficiency gains. Review of Economic Design 19