Statistical Methods in Engineering

Graduate

Statistics involves the collection, analysis, interpretation, and presentation of data. These tasks are fundamental elements of the engineering profession and, in an increasingly information-driven society, also play an important role in our everyday lives. This course will provide students with tools for structuring data-driven problems, identifying and describing sources of uncertainty, performing inference and hypothesis tests, designing effective experiments, and graphically communicating results. Numerical analysis will be performed using Microsoft Excel and R, a popular open-source statistical programming language. Due to significant overlap in material, students may not earn credit for both ENGS 93 and ENGG 193.