NOTE: This course is now hosted on github

Numerical Methods and Statistics, CHE 116 (2015)

This webpage contains links to the course materials, including homeworks, keys, and lecture notes. Recitation, syllabus and your grades are still on blackboard.

Course Description

This course provides an introduction to numerical methods and engineering statistics for chemical engineers. Students learn to use computer models and statistics to understand engineering systems. The focus of numerical methods is translating engineering problems into algorithms and implementing them in a spreadsheet or programming language. Topics covered include basic data structures, programming flow control, plotting, function minimization, integration and differential equations. The statistics portion teaches students basic probability theory, the central limit theorem, hypothesis testing, confidence intervals, regression, model fitting and basic error analysis.