Course description

Gives students a working knowledge of basic probability and statistics and their application to engineering. Includes computer analysis of data and simulation. Topics include random variables, probability distributions, expectation, estimation, testing, experimental design, quality control, and regression.

Outcome 1: Understand the breadth of decision situations with uncertainty that arise in engineering, industry, and society.

Outcome 2: Develop the skills needed for extracting information from data in real-world decision situations.

Outcome 3: Learn methods of probability modeling and data analysis.

Outcome 4: Build familiarity with current software used for statistical inference and data analysis.

Prerequisites

MATH 1910 and 1920.

No upcoming classes were found.

Previously offered classes

The next offering of this course is undetermined at this time.