Sep 29, 2020  
2018-2019 Undergraduate Catalog 
    
2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

MATH 476 - Numerical Methods and Analysis I


Description:
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:
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:
2/05/16



Add to Portfolio (opens a new window)