STEM / applied
Computational methods · Graduate · Math
Topics
Software engineering for scientific computing
- Version control, testing, and continuous integration for research code
- Profiling, memory management, and performance tuning
- GPU computing for linear algebra and PDEs (introduction)
- Workflow tools: containers, Make/SCons, and reproducible pipelines
- Visualization of large-scale simulation output
Project-based applications
- Team projects in CFD, structural mechanics, or imaging
- Coupling solvers in multiphysics settings
- Benchmarking against published test cases
- Documentation and presentation of computational studies
- Ethics and validation in computational science
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$1,162 · Computational methods · 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.