ENGG 193 Statistical Methods in Engineering

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.

Prerequisite

MATH 13, and working proficiency with probability basics and random variables as taught in ENGS 27, MATH 10, AP Statistics, etc.