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メディア授業とは，メディアを利用して遠隔方式により実施する授業の授業時数が，総授業時数の半数を超える授業をいいます。
メディア授業により取得した単位は，卒業要件として修得すべき単位のうち60単位を超えないものとされています。
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The course is the combination of business economics and finance/accounting. Business economics is the analysis of major management decisions using the tools of economics. Business economics applies many familiar concepts from economics such as demand and cost, monopoly and competition, the allocation of resources, and economic tradeoffs to aid companies in making better decisions. Finance/accounting will focus on the fundamentals of corporate finance/accounting and also provides the basic knowledge on investment principles.
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Participants will understand:
1) Demand analysis and cost analysis
2) Decision making under uncertainty
3) Competitive analysis and market structure
4) Regression analysis in econometrics
5) Participants can operate basic analysis with a programming language. They can also interpret the analyzed results and can make a useful econometric report.
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The first half of the course will focus on business economics. The other half will be allocated to getting familiar with R/Python/Stata and learning basic finance/accounting.
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第1回
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Introduction to Economic Decision Making
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- Examples of Business Decisions
- Steps in Decision Making
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第2回
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Decisions within Firms
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- Marginal Analysis
- Marginal Revenue and Marginal Cost
- Sensitivity Analysis
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第3回
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Demand Analysis and Optimal Pricing
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- Determinants of Demand
- Elasticity of Demand
- Demand Analysis and Optimal Pricing
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第4回
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Production and Cost analysis
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- Production functions
- Measuring Production functions
- Production cost
- Returns to Scale, Scope and Learning
- Cost analysis and Optimal Decisions
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第5回
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Decision Making under Uncertainty
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- Uncertainty, Probability, and Expected Value
- Decision Trees
- Sequential Decisions
- Risk Aversion
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第6回
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The Value of Information
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- The Value of Information
- Intuitive Prediction
- Asymmetric Information
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第7回
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Game Theory and Competitive Strategy
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- Introduction of Game theory
- Analyzing Payoff tables
- Competitive Strategy
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第8回
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Introduction of Python and and its usage in data management & descriptive statistics
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- Basic operations in using Python/R/Stata
- How to use Python/R/Stata in data management & descriptive statistics
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第9回
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Practice
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Practices on how to use Python/R/Stata in data management & descriptive statistics
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第10回
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Regression analysis
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- Introduction to regression analysis
- How to analyze a regression model in Python/R/Stata
- How to interpret the obtained results
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第11回
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Practice
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Practices on Regression Analysis
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第12回
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Python potentials in business analysis
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Examples and practices to demonstrate Python potentials in business analysis
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第13回
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Fundamentals of corporate finance/accounting
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Evaluation principles and methods for the financial analysis
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第14回
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Investment analysis
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How to conduct an investment analysis based on financial data
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第15回
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Practice
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Case studies using the course's financial/accounting knowledge and tools.
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※AL（アクティブ・ラーニング）欄に関する注
・授業全体で、AL（アクティブ・ラーニング）が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A：グループワーク】、【B：ディスカッション・ディベート】、【C：フィールドワーク（実験・実習、演習を含む）】、【D：プレゼンテーション】
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A: 30% B: 20% C: 20% D: 20%
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Report 50%
Discussion 20%
Attitude 30%
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The time in class is limited while the contents of the syllabus are ambitious but essential for any business practitioners or researchers. You should be proactive in reading and studying the subject with all of your available resources / materials.
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Business Economics, Managerial Economics, Econometrics, Finance, Accounting, Business Strategy
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Innovation Management, Business Strategy
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phuc AT yamaguchi-u.ac.jp
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I will be available at my office almost every Tuesday evening.
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