• Data representation and data analysis. • Regression analysis; linear and non-linear models. • Gauge R&R Analysis; repeatability, reproducibility and gauge capability. • Analysis of variance (ANOVA); one-factor, two-factor, N-factors, and nested design models. • Statistics of ISO/IEC 5725-1998; Outliers analysis, repeatability and reproducibility calculations, intermediate standard deviation calculations, robust analysis, and quality control charts. • Statistics of ISO/IEC 13528-2015; robust algorithms (algorithm A, S, Hampel, and Bootstrap), Youden plot, plots of repeatability standard deviation, ...etc. • Black-box modeling techniques; Model order determination, linear time interval analysis, nonlinear ARX models, Hammerstein-Wiener models. • Artificial neural network modeling techniques; static and dynamics networks, incremental and batch networks, feedforward and backpropagation networks. • Curve fitting techniques; 2-D and 3-D. • Solving partial differential equations for a 2-D geometry object using the finite elements method. • Solving ordinary differential equations of different orders using Runge-Kutta method.