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課程名稱 |
商管統計資料分析
Statistical Data Analysis for Business and Management |
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開課學期 |
107-1 |
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授課對象 |
管理學院 商學研究所 |
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授課教師 |
余峻瑜 |
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課號 |
MBA5045 |
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課程識別碼 |
741 U9880 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二2,3,4(9:10~12:10) |
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上課地點 |
管一101 |
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備註 |
限本系所學生(含輔系、雙修生) 且 限學士班二年級以上
總人數上限：40人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1071_Analytics |
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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 |
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課程大綱
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課程概述 |
The core of this course is the concepts and methods of analytics, or statistical data analysis, and their applications to business and management studies. Two major topics to be discussed are (1) Linear Models (Regression Analysis) and (2) Generalized Linear Models (Categorical Data Analysis). |
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課程目標 |
The aim of this course is to help students appreciate the strength and usefulness of business analytics. Statistical software, R, is to be used in the class. |
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課程要求 |
To ensure the teaching and learning qualities, students are suggested to require prior knowledge in calculus and statistics. |
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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 |
待補 |
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參考書目 |
Reference:
1. Agresti, An Introduction to Categorical Data Analysis, Wiley, 1996.
2. Stine & Foster, Statistics for Business – Decision Making and Analysis, Pearson, 2011.
3. Everitt & Hothorn, A Handbook of Statistical Analyses using R, Chapman & Hall/CRC, 2006. (NTUL e-books) |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
9/11 |
Introduction |
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第2週 |
9/18 |
Exploratory Data Analysis (EDA) & Simple Linear Regression (SLR) |
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第3週 |
9/25 |
Multiple Linear Regression |
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第4週 |
10/02 |
Regression Model Building |
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第5週 |
10/09 |
ANCOVA |
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第6週 |
10/16 |
Linear Model: Case Studies & In-Class Practical (1) |
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第7週 |
10/23 |
ANOVA |
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第8週 |
10/30 |
Block and Factorial Designs |
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第9週 |
11/06 |
In-Class Practical (2) |
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第10週 |
11/13 |
Midterm |
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第11週 |
11/20 |
Odds and Contingency Table |
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第12週 |
11/27 |
GLM: Logistic Regression for Binary Response |
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第13週 |
12/04 |
GLM: Logistic Regression for Binomial Counts |
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第14週 |
12/11 |
GLM: Log-Linear Regression for Poisson Counts |
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第15週 |
12/18 |
GLM: Case Studies |
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第16週 |
12/25 |
Final Exam |
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第18週 |
1/08 |
Final Project Presentation |
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