112年第2學期-5871 數量方法研討 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| 作業 | 20 | |
| 專題 | 30 | |
| 期中考 | 25 | |
| 期末考 | 25 |
選課分析
本課程名額為 25人，已有9 人選讀，尚餘名額16人。
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授課教師
張譽騰教育目標
The field of applied statistics focuses on quantitative methods that aid in inferring statistical results and analyzing complex data in a business environment. This course introduces the basic concepts and methods of data science. We will demonstrates basic methods of data analysis, such as t-test, regression, ANOVA, factor analysis, structural equation modelling (SEM), etc.
To conceptually understand the basic ideas of applied statistics and data analysis, we will properly apply these applied statistics methods to real world problems using IBM SPSS (a statistical software), and draw valid conclusions.
You will also formulate, solve, and interpret mathematical models from various applications areas in applied statistics. This course will require the use of personal computers and spreadsheet-based software (SPSS). On SEM, we will use LISREL or AMOS software to introduce confirmatory analysis, second order factor analysis, multiple group analyses, structual model testing, mediating and moderating effect testing, ect.
課程資訊
基本資料
選修課，學分數：0-3
上課時間：四/6,7,8[M472]
修課班級：企管碩1,2
修課年級：1年級以上
選課備註：
教師與教學助理
授課教師：張譽騰
大班TA或教學助理：尚無資料
Office Hour請事先寫信與授課老師約定晤談時間
授課大綱
授課大綱：開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
Required 1: Hair et al. (2006), Multivariate Data Analysis (7th), Prentice Hall
Required 2: 蕭文龍 (2009), 多變量分析最佳入門實用書(第二版)：SPSS+LISREL, 碁峰
Recommended: 邱皓政 (2011)，量化研究與統計分析-SPSS資料分析範例(第五版)，五南
開課紀錄
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