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Advanced statistical methods

Credit Hours : 3

General Objective:

Students completing this course should understand basic concepts and application of multivariate analysis (Correlation and regression). They are expected to be able to conduct appropriate statistical methods and interpret the results for applications. Examples of programming will be demonstrated for data analyses during lectures.

 

Specific Objectives:

1- A review on basic of statistics and its application in research

2- Simple linear regression and correlation

3- Matrix algebra and random vectors

4- Multivariate linear regression models

5- Non-linear regression

6-General Linear Models (GLM)

7-Multivaraiate statistical analysis such as PCA, Clustering,...

Prerequisites: 
Grading Policy: 

Homework (25%)  

Mid-term (25%) 

Final Exam/Projects (50%)

Time: 

Sunday 8:00 - 10:00

Term: 
2014
Grade: 
Graduate