This course addresses probability and statistics theory and techniques with common application in computational science and engineering. The course will include exploratory data analysis techniques, statistical standard distributions, one-and-two sample tests with continuous data, regression analysis, analysis of variance, analysis of tabular data, sample size calculations, hypothesis testing, linear regression, and design of experiments. Statistical languages such as R will be used to implement the concepts learned in the course. Prerequisites: None. (F;S)