シラバス Syllabus

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
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 Term1

授業の概要 Course Overview


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.

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

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.

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 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 %

学習方法、レポート、課題に対するフィードバック方法 Course Approach, 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.

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5日(Day5)



●使用するケース
Quiz 2; Introduction to statistics- mean, median, variance and standard deviation; Estimation- degrees of freedom, estimators, confidence intervals.

第6日(Day6)

Logic of hypothesis testing- type I error, type II error; Regression- linear regression, multiple regression.

第7日(Day7)



●使用するケース
Regression- logistic regression; Summary of the course, including the previous two quizzes review.

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 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

使用ケース一覧 List of Cases

    ケースは使用しません。

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 her Ph.D. in Economics at Humboldt University of Berlin and her M.Sc. in Statistics (research) at London School of Economics and Political Science. Her research interests lie primarily in the fields of industrial organization, competition policy, regulation and, more broadly, applied microeconomic theory.

(実務経験 Work experience)


Prior to joining NUCB, she worked as Research Fellow at the Chair of Microeconomics and International Economics at 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






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