IENG 320 Probability and Statistics for Engineering
In this course, students will learn about probability axioms, intermediate level statistical analysis methods, and applications of probability and statistical methods in engineering fields. It will cover discrete and continuous random variables and their associated probability distributions, sampling distributions, interval estimation and hypothesis testing methods, and linear regression.
Prerequisites
4 Undergraduate credits
Effective December 15, 2025 to present
Learning outcomes
General
- Summarize engineering data using appropriate graphical and numerical techniques.
- Apply different probability distributions and sampling distributions.
- Analyze engineering data using appropriate inferential statistical methods.
- Assess the relationship between two variables using regression in an engineering field.
- Interpret probability and statistical findings in a professional engineering context.