ENGRD 2700

Eng Probability and Statistics: Modeling and Data Science

Course Description

Course information provided by the 2026-2027 Catalog.

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.

Prerequisites MATH 1910 and MATH 1920.

Forbidden Overlaps AEM 2100, CEE 3040, CRP 1200, ENGRD 2700, HADM 2010, HADM 2011, ILRST 2100, ILRST 6100, MATH 1710, PSYCH 2500, PUBPOL 2100, PUBPOL 2101, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200, STSCI 6010. In addition, no credit for MATH 1710 if taken after ECON 3130, ECON 3140, MATH 4720, or any other upper-level course focusing on the statistical sciences

Distribution Requirements (DLS-AG, MQL-AG, OPHLS-AG)

Last 4 Terms Offered 2026FA, 2026SU, 2026SP, 2025FA

Learning 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.

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