ENGRD 3200

ENGRD 3200

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

Introduction to numerical methods, computational mathematics, and probability and statistics. Development of programming and graphics proficiency with MATLAB and spreadsheets. Topics include Taylor-series approximations, numerical errors, condition numbers, operation counts, convergence, and stability, probability distributions, hypothesis testing. Included are numerical methods for solving engineering problems that entail roots of functions, simultaneous linear equations, statistics, regression, interpolation, numerical differentiation and integration, and solution of ordinary and partial differential equations, including an introduction to finite difference methods. Applications are drawn from different areas of engineering. A group project uses these methods on a realistic engineering problem.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: CS 1112, MATH 2930. Corequisite: MATH 2940. Recommended prerequisite: MATH 2940.

Outcomes
  • Be familiar with standard numerical methods and statistical procedures for engineering computation and learn to synthesize from different methods in a specific engineering application.
  • Learn how to compute, estimate and track errors associated with numerical computations.
  • Have a working knowledge of higher-level programming languages widely used in engineering for numerical methods and graphics, in particular, MATLAB.
  • Gain experience in teams.
  • Learn how to develop sanity tests for one's computational results and how to report them in a clear and objective manner.

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 3200

  • 4 Credits Graded

  • 10299ENGRD 3200  LEC 001

  • Co-requisite: MATH 2940.

  • 10300ENGRD 3200  DIS 201

  • 10301ENGRD 3200  DIS 202

  • 10302ENGRD 3200  DIS 203

  • 10303ENGRD 3200  DIS 204