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Computational Science and Engineering 1

Module code: EEU22E12 · Semester: 2

Questions by Year​

0 of 2 done · tick papers and add notes as you go

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Topics

  • Why numerical methods; errors and their sources LO1–2
  • MATLAB programming and good coding practice LO3
  • Least squares data fitting LO4
  • Numerical solution of ODEs LO5
  • Linear and non-linear optimisation LO6
  • Numerical integration and differentiation LO7
  • Introduction to finite elements LO8
  • Computational cost and energy use LO9
Learning outcomes (exam covers LO1–9)
  1. Explain why engineering problems need computational solutions
  2. Describe how numerical methods introduce errors
  3. Use MATLAB to solve engineering problems computationally
  4. Apply least squares to data modelling
  5. Solve differential equations numerically
  6. Carry out basic linear and non-linear optimisation
  7. Integrate and differentiate numerically
  8. Apply the finite element method to basic problems
  9. Assess computational load and its energy implications

Summarised from the module descriptor, checked November 2026.