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.

Prerequisites

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

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