課程資訊
課程名稱
統計學及實習
STATISTICS WITH PRACTICES 
開課學期
112-1 
授課對象
理學院  地理環境資源學系  
授課教師
亞歷山卓 
課號
Geog2016 
課程識別碼
208E26610 
班次
 
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 
 
課程簡介影片
 
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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
 
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)
   
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
考試形式
其他
課程進度
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