ENGRD 2700

ENGRD 2700

Course information provided by the Courses of Study 2019-2020.

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.

When Offered Fall, Spring, Summer.

Prerequisites/Corequisites Prerequisite: MATH 1910, MATH 1920.

Outcomes
  • 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.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Stdnt Opt

  • 10931ENGRD 2700  LEC 001

  • You may opt to enroll in a 1-credit (S/U graded based on attendance) Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. In order to attend the workshops, you must enroll in an AEW section, listed under course number ENGRG 2700.

  • 10932ENGRD 2700  DIS 201

  • 10933ENGRD 2700  DIS 202

  • 10934ENGRD 2700  DIS 203

  • 10935ENGRD 2700  DIS 204

  • 10936ENGRD 2700  DIS 205

  • 11619ENGRD 2700  DIS 206