INTRO
This course focuses on the applications of statistics and probability theory to the data analysis in biomedical engineering research. Our course will cover the following topics: concepts of probability, discrete and continuous random variables, probability distributions,expected values, independence, the treatment of statistical method with random sampling, data summary and description techniques, sampling distributions, the central limit theorem, point estimation of parameters, interval estimation for a single sample, hypothesis tests, tests and confidence interval for two samples, simple and multiple regression.
LECTURERS
FaHsuan Lin
CLASSROOM
共同教室406, National Taiwan University
TIME
Wednesday (13:20 – 16: 20)
PREREQUISITE
None
TEACHING ASSISTANT
REQUIREMENT
homework (10%); quizzes (10%); course participation (10%); presentation (30%); midterm (20%); final (20%)
REFERENCE
Textbook: Mathematical Statistics with Application (ISBN: 0123748488)
Student’s presentation date/order/topics
SYLLABUS
1  9/13  course introduction; descriptive statistics (chapter 1)  
2  9/20  basic concepts from probability theory (chapter 2)  hw2  group 3 
3  9/27  additional topics in probability (chapter 3)  hw3  group 11 
10/4  no class  
4  10/11  additional topics in probability (chapter 3)  hw3  
5  10/18  sampling distributions (chapter 4)  hw4  group 6 
6  10/25  point estimation (chapter 5)  hw5a  
7  11/1  point estimation (chapter 5)  hw5b  group 4 
11/8  midterm  
8  11/22  interval estimation (chapter 6)  hw6  group 2 
9  11/29  hypothesis testing (chapter 7I)  hw7  
10  12/6  hypothesis testing (chapter 7II)  group 8  
11  12/13  hypothesis testing (chapter 7III)  group 1
group 10 

12  12/20  linear regression methods (chapter 8)  hw8  group 5 
13  12/27  analysis of variance (chapter 10)  hw10  group 7 
final  