Statistical analysis and engineering problem solving using R programming language. Data manipulation. Exploratory data analysis. Statistical quality assurance. Basic statistical analysis. R Markdown. Simulation. Conditional expressions, loops, and functions. Matrices. High level data visualizations. Data extraction from text. Optimization. Logistic regression. High performance computing tools. Project required for graduate credits.