STEM / applied
Numerical methods for engineers · Undergraduate · Math
Topics
Engineering software and projects
- Implementation in MATLAB, Python (NumPy/SciPy), or engineering platforms
- Simulation of physical systems governed by ODEs
- Finite difference solutions for 1D heat and wave equations
- Least squares curve fitting to experimental data
- Verification against analytical benchmarks
Professional practice
- Documentation and reproducibility of numerical studies
- Choosing step sizes and convergence tolerances
- Interpreting numerical results in design contexts
- Introduction to finite element software workflows
- Error budgets in measurement and simulation pipelines
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$1,162 · Numerical methods for engineers · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle or Venmo.