◎系所教育目標: 1.培育具宏觀視野的經濟基礎人才。
2.建立學生未來發展所需之競爭力與獨立思考能力。 |
| ◎核心能力 | 關聯性 |
| 1.廣泛經濟議題的論述與分析能力,強調能活化經濟理論於實務應用。 | 5 關聯性最強 |
| 2.溝通、領導與團隊合作能力。 | 1 關聯性最弱 |
◎本學科內容概述: 本學科為學士班計量經濟學課程之上學期課程。本學期之授課內容涵蓋範圍包含統計與機率觀念回顧、簡單線性迴歸模型之定義與基本假設、簡單線性迴歸模型之參數估計和區間估計與假設檢定、簡單線性迴歸模型之預測、與簡單線性迴歸模型之配適能力衡量指標。除了計量理論與性質推導之外,本學科亦會教導學生如何運用套裝軟體來進行迴歸分析。 |
◎本學科教學內容大綱: 1.統計與機率觀念介紹。
2.簡單線性迴歸模型之定義與基本假設介紹。
3.簡單線性迴歸模型之參數估計和區間估計與假設檢定介紹。
4.簡單線性迴歸模型之預測與配適能力衡量指標介紹。
5.套裝軟體運用於簡單線性迴歸模型介紹。 |
◎本學科學習目標: (本課程只提供應經系與雙主修學生加簽)The primary objectives of this undergraduate econometrics course are to equip students with a fundamental understanding of regression analysis and its applications in economic data. Students will learn to formulate hypotheses, estimate economic models, and interpret results critically. The course aims to develop proficiency in using econometric software for data analysis, emphasizing practical application on real-world datasets. |
| ◎教學進度: |
| 週次 | 主題 | 教學內容 | 教學方法 |
01 09/12 | Introduction and Review | Economic Questions and Data; Review of Probability | 講授。 |
02 09/19 | Introduction and Review | Review of Probability | 講授。 |
03 09/26 | Introduction and Review | Review of Probability | 講授。 |
04 10/03 | Introduction and Review | Review of Statistics | 講授。 |
05 10/10 | Introduction and Review | Review of Statistics | 操作/實作、講授。 |
06 10/17 | Fundamentals of Regression Analysis | Linear Regression with One Regressor | 講授。 |
07 10/24 | Fundamentals of Regression Analysis | Linear Regression with One Regressor | 講授。 |
08 10/31 | Fundamentals of Regression Analysis | Linear Regression with One Regressor | 作業/習題演練、講授。 |
09 11/07 | Midterm Exam | Midterm Exam | 考試。 |
10 11/14 | Fundamentals of Regression Analysis | Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals | 講授。 |
11 11/21 | Fundamentals of Regression Analysis | Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals | 講授。 |
12 11/28 | Fundamentals of Regression Analysis | Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals | 講授。 |
13 12/05 | Fundamentals of Regression Analysis | Linear Regression with Multiple Regressors | 操作/實作、講授。 |
14 12/12 | Fundamentals of Regression Analysis | Linear Regression with Multiple Regressors | 講授。 |
15 12/19 | Fundamentals of Regression Analysis | Linear Regression with Multiple Regressors | 講授。 |
16 12/26 | Fundamentals of Regression Analysis | Hypothesis Tests and Confidence Intervals in Multiple Regression | 講授。 |
17 01/02 | Fundamentals of Regression Analysis | Hypothesis Tests and Confidence Intervals in Multiple Regression | 校外見習/實習、講授。 |
18 01/09 | Final Exam | Final Exam | 考試。 |
◎課程要求: (本課程只開放應經系和雙主修應經系之學生加簽) This course includes two homework assignments, each comprising two parts. The first part focuses on derivation concepts, while the second part involves conducting regression analysis using software. Only the second part of each assignment must be submitted for grading, although both parts will be reviewed during lectures. Additionally, there will be a midterm and a final exam. Dates for these exams and homework submission deadlines will be announced two weeks in advance. |
◎成績考核 期中考45% 期末考45% 作業/習題演練10% |
◎參考書目與學習資源 "Introduction to Econometrics, Brief Edition", 1st Edition, by James Stock and Mark Watson. |
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