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 生物統計學程 |
授課教師 |
林菀俞 |
課號 |
EPM5002 |
課程識別碼 |
849EU0310 |
班次 |
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學分 |
2.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
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上課地點 |
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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 |
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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 |
課程大綱
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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.
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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.
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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 |
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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 |
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Weekly assignments and homework |
100% |
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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 |
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考試形式 |
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其他 |
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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) |
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