ENGRD 2700
Eng Probability and Statistics: Modeling and Data Science
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.
Topics
- 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.
Official roster learning outcomes
Prerequisites & course information
MATH 1910 and MATH 1920.
Catalogue variants
- Eng Probability and Statistics: Modeling and Data Science · 4.0 · Undergraduate