Advanced statistical methods
Credit Hours : 3
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.
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
Final Exam/Projects (50%)