ENGR 241 Probability and Statistics with Data Science Applications

The course introduces probability and statistics concepts as needed forengineering students. The emphasis will be on applications of these formulas to solve problems.Concepts covered will include descriptive statistics, measures of location and of variability, datavisualization, sample space and events, probability and independence, Bayes’ rule, randomvariables, densities and moments, normal distribution, the central limit theorem, confidenceintervals, hypothesis testing and p-values, applications for prediction in a least squares linearregression model. The class will use a state of the art data science programming language tocomplete the coursework.




MA 124 or MA 126


School of Engineering and Science