課程名稱 |
統計學與計量經濟學暨實習上 Statistics and Econometrics with Recitation(1) |
開課學期 |
106-1 |
授課對象 |
經濟學系 |
授課教師 |
張勝凱 |
課號 |
ECON2014 |
課程識別碼 |
303E26611 |
班次 |
02 |
學分 |
4.0 |
全/半年 |
全年 |
必/選修 |
必修 |
上課時間 |
星期二6,7,8(13:20~16:20)星期三3,4(10:20~12:10) |
上課地點 |
社科403社科403 |
備註 |
本課程以英語授課。三34為實習課。下學期為朱建達老師授課 總人數上限:140人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1061Econ2014_02 |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
In Statistics and Econometrics I, we will focus on basic probability theory and fundamentals of mathematical statistics, since probability and statistics are important tools to predict economic outcomes under uncertain environments.
Some important topics covered in Statistics and Econometrics I are conditional probability, interval estimation, hypothesis testing, and introduction of linear regression. Its objective is to provide students with basic statistical tools and concepts that will help them estimate economic models and do subsequent inferences. |
課程目標 |
Statistics and Econometrics I and II are designed for Econ major students to fulfill the departmental quantitative analysis requirements, and ECON 2014 Statistics and Econometrics I is the first half of this sequence. |
課程要求 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
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評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
9/12,9/13 |
Introduction and Probability Theory |
Week 2 |
9/19,9/20 |
Conditional Expectation |
Week 3 |
9/26,9/27 |
Independence |
Week 4 |
10/3,10/4 |
Important Probability Distribution |
Week 5 |
10/10,10/11 |
Important Probability Distribution Part 2 |
Week 6 |
10/17,10/18 |
Sampling Distribution |
Week 7 |
10/24,10/25 |
Midterm |
Week 8 |
10/31,11/1 |
Point Estimation |
Week 9 |
11/7,11/8 |
Interval Estimation |
Week 10 |
11/14,11/15 |
Interval Estimation |
Week 11 |
11/21,11/22 |
Hypothesis Testing |
Week 12 |
11/28,11/29 |
Midterm |
Week 13 |
12/5,12/6 |
Introduction to Econometric |
Week 14 |
12/12,12/13 |
Simple Regression |
Week 15 |
12/19,12/20 |
Simple Regression |
Week 16 |
12/26,12/27 |
Multiple Regression |
Week 17 |
1/2,1/3 |
Final Exam |
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