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

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MATH 477 - Numerical Methods and Analysis II

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. 

Prerequisite: MATH 476 with a grade of C or higher.

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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