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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- A review on applied experimental designs

3-Simple linear regression and correlation

4- Matrix algebra and random vectors

5- Multivariate linear regression models

6- Non-linear regression

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

8-Application of statistical softwares (SAS, SPSS,...) in statistical analysis

Grading Policy: 

Homework (25%)  

Mid-term (25%) 

Final Exam/Projects (50%)


Sunday 10-12


تحت نظارت وف بومی