Introduction to Probability and Statistics for Engineers

Course Description

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

  • Intensive Study: Data Science
  • Online Format: Both Synchronous & Asynchronous - This course is taught through a combination of synchronous and asynchronous opportunities. Students should check the Stanford Explore Courses website for information on the scheduling options.

Prerequisites

CME 100 or ENGR 154 or MATH 51 or MATH 52

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