Introduction to Probability and Statistics for Engineers

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Course Description

Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Numerical simulation using Monte Carlo techniques. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses. Numerous applications in engineering, manufacturing, reliability and quality assurance, medicine, biology, and other fields. Prerequisite: CME100/ENGR154 or Math 51 or 52.

Cross Listed Courses

Grading Basis

ROP - Letter or Credit/No Credit

Min

4

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

This course has been approved for the following WAYS

Formal Reasoning (FR), Applied Quantitative Reasoning (AQR)

Does this course satisfy the University Language Requirement?

No

Courses

ENGR155C is a prerequisite for:

Programs

ENGR155C is a completion requirement for: