Introduction to Probability and Statistics for Engineers

Course Description

Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. 

Course Details

  • Grading Basis: Letter Grade or Credit/No Credit
  • Cross-Listings: ENGR 155C
  • Intensive Studies: This course is offered as part of the Data Science Intensive. See the Intensive Studies page for more information on how to receive an official Document of Completion.


CME 100/ENGR 154, MATH 51, or MATH 52

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