課程資訊
課程名稱
多變量分析
Multivariate Analysis 
開課學期
108-2 
授課對象
共同教育中心  統計碩士學位學程  
授課教師
楊曙榮 
課號
MBA5011 
課程識別碼
741EU3520 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期四A,B,C(18:25~21:05) 
上課地點
管一405 
備註
本課程以英語授課。碩士班數量方法之一。學士班限3年級以上。 管理與社會統計領域選修課程之一。
限本系所學生(含輔系、雙修生) 且 限學士班三年級以上
總人數上限:45人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1082MBA5011_ 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

In recent years, analytics skills have become essential for those pursuing careers in consulting and data-driven organizations. This course develops models and algorithms for central problems in analytics from a statistical perspective and discusses their impact. Topics include likelihood inference, Bayesian analysis, linear models, generalized linear models, multilevel models, spatial models, missing data, and their relationships with stochastic operations research (OR). We explain analytics from first principles of constructing different statistical models and understanding the role of hyperparameters in these models while building them up from scratch.  

課程目標
We offer a concise coverage of the core knowledge needed to build new statistical models for anlayzing data. The ultimate learning outcome is to create data-driven applications on operations, logistics, supply chains, marketing, and smart business.  
課程要求
The course is aimed at the numerate students who have the knowledge of calculus, computer programming, linear algebra, and statistics; please see the instructor if you are unsure whether your background is suitable for the course. We use the R and Stan programming languages in the RStudio environment.  
預期每週課後學習時數
 
Office Hours
 
參考書目
待補 
指定閱讀
待補 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料