Descriptive and comparative statistics, significance tests, outlier tests, application of important probability distributions (normal distribution, Student#s t-distribution, F distribution)
Fundamentals of design of experiments and analysis statistical analysis of obtained factors and models
Introduction to the matrix version of least squares.
System optimization with respect to simple and multiple targets.
Uuse of free (for academic purposes) state-of-the-art statistical software R and associated integrated programming environment RStudio
