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.

Offered: Fall, Spring, Summer.

Prerequisites: MATH 1910, MATH 1920.

Outcomes:

• Understand the breadth of decision situations with uncertainty that arise in engineering, industry, and society.
• Develop the skills needed for extracting information from data in real-world decision situations.
• Learn methods of probability modeling and data analysis.
• Build familiarity with current software used for statistical inference and data analysis.