May 22, 2024  
2020-2021 Undergraduate Catalog 
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

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MATH 476 - Numerical Methods and Analysis I

This course offers an engaging introduction to numerical methods and analysis. Topics include error propagation in mathematical algorithms, data approximation, numerical differentiation and integration. Course work requires programming experience.

Prerequisites: MATH 260 and MATH 265 and MATH 299S with a grade of C or higher, or consent of instructor.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Describe, present and analyze numerical methods for a specific data set, and justify their conclusions.
  • Construct and analyze computational approximations for different data sets using interpolation and other polynomial approximations.
  • Estimate numerical derivatives and numerical integrals for a given dataset.
  • Predict and analyze the error propagation that results from mathematical algorithms.
  • Evaluate other numerical approximation methods.

Learner Outcomes Approval Date:

Anticipated Course Offering Terms and Locations:

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