課程名稱 |
統計學及實習 STATISTICS WITH PRACTICES |
開課學期 |
112-1 |
授課對象 |
學程 傳染病學學程 |
授課教師 |
亞歷山卓 |
課號 |
Geog2016 |
課程識別碼 |
208E26610 |
班次 |
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學分 |
4.0 |
全/半年 |
半年 |
必/選修 |
必帶 |
上課時間 |
星期三7,8,9(14:20~17:20)星期五6,7(13:20~15:10) |
上課地點 |
地理305地理電腦室 |
備註 |
本課程以英語授課。 限學士班二年級以上 且 限本系所學生(含輔系、雙修生) 總人數上限:55人 |
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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 |
The course provides an introduction to the basics of statistics in a prominent application-oriented perspective. By highlighting the strong impact of the subject on the future academic path and career perspectives, the course covers the fundamental principles of applied statistics, with a marked data-centric focus. The education modules are intended to address the key principles of descriptive and inferential statistics, from graphical and numerical measures to probability and sampling distributions, to correlation and regression procedures. Besides providing a robust theorical foundation, practical sessions will complement the course, aiming to deliver a solid practical understanding. |
課程目標 |
The course will review the main principles, methods and tools of descriptive and inferential statistics.
Through theoretical classes and practical examples, students are expected to learn how to carry on statistical analyses, address experimental challenges, and effectively interpret and draw conclusions from collected data. |
課程要求 |
The course requires basic mathematical knowledge. Whereas a coding background is not required, knowledge of basic programming is an advantage.
The grading is split into a written examination to assess the acquired theoretical knowledge, and a practical examination to assess the acquired applied capabilities. |
預期每週課後學習時數 |
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Office Hours |
另約時間 備註: Please email the instrustor for the detailed information. |
指定閱讀 |
待補 |
參考書目 |
Statistical Methods for the Social Sciences (A. Agresti) – publisher: Pearson.
Statistics: Principles and Methods (R.A. Johnson, G.K. Bhattacharyya) – publisher: Wiley
Introductory Statistics (N.A. Weiss) – publisher: Pearson.
The Practice of Statistics (D.S. Starnes, J. Tabor) – publisher: W.H. Freeman. |
評量方式 (僅供參考) |
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針對學生困難提供學生調整方式 |
上課形式 |
提供學生彈性出席課程方式 |
作業繳交方式 |
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考試形式 |
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其他 |
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週次 |
日期 |
單元主題 |
第1週 |
9/06,9/08 |
Course overview |
第2週 |
9/13,9/15 |
Definition of statistics and introduction to its components |
第3週 |
9/20,9/22 |
Data, variables, and samples |
第4週 |
9/27,9/29 |
Graphical data description
(The practical class is canceled due to the mid-autumn festival.) |
第5週 |
10/04,10/06 |
Descriptive measures (1): measures of center |
第6週 |
10/11,10/13 |
Descriptive measures (2): measures of variation |
第7週 |
10/18,10/20 |
Probabilities and probability distributions |
第8週 |
10/25,10/27 |
Sampling distributions |
第9週 |
11/01,11/03 |
Point and interval estimators |
第10週 |
11/08,11/10 |
Hypothesis testing (single sample) |
第11週 |
11/15,11/17 |
Bivariate data |
第12週 |
11/22,11/24 |
Covariance and correlation |
第13週 |
11/29,12/01 |
Regression (1) |
第14週 |
12/06,12/08 |
Regression (2) |
第15週 |
12/13,12/15 |
Hypothesis testing (two samples) |
第16週 |
12/20,12/22 |
FINAL EXAM |
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