課程資訊
課程名稱
流行病學與生物統計計算
Computing in Epidemiology and Biostatistics 
開課學期
111-1 
授課對象
學程  健康大數據學分學程  
授課教師
林菀俞 
課號
EPM5002 
課程識別碼
849EU0310 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
 
上課地點
 
備註
本課程以英語授課。非同步遠距教學課程。每週一下午2-3點有線上Office Hour。107起生統組選修課程之一。與李文宗合授
限學士班三年級以上
總人數上限:150人 
 
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

/*** This is a non-synchronous online course taught in English. ***/

/*** No auditors will be allowed. ***/

Course: Videos will be uploaded to NTU COOL every Thursday afternoon (starting from Sep. 8). You may listen to the course videos anytime, so it's OK if you still have other courses on Thursday afternoon.

Online office Hour: Should you have any questions, you may register your NTU mail on Microsoft Teams. Here is how: https://www.cc.ntu.edu.tw/chinese/epaper/0053/20200620_5308.html
And then please mail your registered NTU mail to our TA ( r10849044@ntu.edu.tw ). The online office hour will be held every Monday 2 pm – 3 pm. Welcome to join the online discussions and get advice from TA (starting from Sep. 12). Online office Hour is not mandatory (you don't need to participate if you are okay with the lecture).


If you are considering to take the course [Computing in Epidemiology and Biostatistics], please provide your “NTU e-mail address” to TA ( r10849044@ntu.edu.tw ) . We will open a temporary account (valid through Sep. 25) for you to access the course video. To be formally enrolled in this course, you still need to apply from the school system.


In most biostatistics courses, instructors usually introduce theoretical models and then analyze data with statistical software such as SAS and R. However, there is a black box between these two parts. To fill in this gap, we will introduce the numerical computation process involved in statistical models. Students will learn matrix operations, numerical analyses, Monte-Carlo simulations, etc. We will teach how to construct a log-likelihood function according to a statistical distribution, obtain maximum likelihood estimates from logistic regression and Poisson regression, find exact confidence intervals, and design Monte-Carlo simulations for a given research topic etc.
 

課程目標
/*** This is a non-synchronous online course taught in English. ***/

/*** No auditors will be allowed. ***/

Course: Videos will be uploaded to NTU COOL every Thursday afternoon (starting from Sep. 8). You may listen to the course videos anytime, so it's OK if you still have other courses on Thursday afternoon.

Online office Hour: Should you have any questions, you may register your NTU mail on Microsoft Teams. Here is how: https://www.cc.ntu.edu.tw/chinese/epaper/0053/20200620_5308.html
And then please mail your registered NTU mail to our TA ( r10849044@ntu.edu.tw ). The online office hour will be held every Monday 2 pm – 3 pm. Welcome to join the online discussions and get advice from TA (starting from Sep. 12). Online office Hour is not mandatory (you don't need to participate if you are okay with the lecture).

If you are considering to take the course [Computing in Epidemiology and Biostatistics], please provide your “NTU e-mail address” to TA ( r10849044@ntu.edu.tw ) . We will open a temporary account (valid through Sep. 25) for you to access the course video. To be formally enrolled in this course, you still need to apply from the school system.


This course aims to inspire students’ interests in numerical computation regarding epidemiology and biostatistics and cultivate students’ critical thinking and logic in programming. This course is expected to facilitate students’ research in biostatistics, epidemiology, or related quantitative fields. It will also build students’ further understanding of quantitative epidemiology and biostatistics.
 
課程要求
Prerequisite course: at least one biostatistics (or statistics) or epidemiology course. 
預期每週課後學習時數
 
Office Hours
每週一 14:00~15:00 備註: Online office hour. 
指定閱讀
1. Owen Jones, Robert Maillardet, and Andrew Robinson (2009). “Introduction to scientific programming and simulation using R”. Chapman & Hall/CRC.
2. Marcello Pagano and Kimberlee Gauvreau (2000). “Principles of Biostatistics”. 2nd edition. Duxbury Press. 
參考書目
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Weekly assignments and homework 
100% 
 
 
針對學生困難提供學生調整方式
 
上課形式
以錄影輔助
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
9/8  Install and start R 
第2週
9/15  Programming with functions 
第3週
9/22  R objects and programming logic 
第4週
9/29  R looping 
第5週
10/6  Input, output, and plotting with R 
第6週
10/13  Introduction to matrix algebra 
第7週
10/20  Matrix operations and linear algebra 
第8週
10/27  Matrix algebra in statistics 
第9週
11/3  The clever “apply” family, recursive programming, commands for matrix operations 
第10週
11/10  Find the root for a function; exact confidence intervals 
第11週
11/17  Construct a log-likelihood function 
第12週
11/24  Find the maximum likelihood estimates for logistic regression 
第13週
12/1  Find the maximum likelihood estimates for Poisson regression 
第14週
12/8  Modern statistical computing: Monte-Carlo simulations (Interval estimates) 
第15週
12/15  Modern statistical computing: Monte-Carlo simulations (Point estimates) 
第16週
12/22  Modern statistical computing: Monte-Carlo simulations (Type I error rates and power)