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ME2016 - Computing Techniques

Instructor: Prof. Yan Wang

Lectures
  • Week 01 - Modeling, Floating-Point Number
  • Week 02 - Numerical Errors, Taylor Approximations, Truncation Errors
  • Week 03 - Matlab Review
  • Week 04 - Bisection, False-Position, Newton-Raphson, Secant
  • Week 05 - Gauss elimination, LU Decomposition
  • Week 06 - Exam 1
  • Week 07 - Gauss-Seidel
  • Week 08 - Optimization, Golden-Section Search, Newton's method
  • Week 09 - Least-Square Regression
  • Week 10 - Interpolation
  • Week 11 - Fourier Approximation
  • Week 12 - Exam 2
  • Week 13 - Numerical differentiation and integration
  • Week 14 - Newton-Cotes integration
  • Week 15 - ODE - Euler's method, Runge-Kutta method
  • Week 16 - Boundary-value problems
  • Week 17 - Final Exam
  • Exams
  • Midterm 1 (Fall 2009) - Solution
  • Midterm 2 (Fall 2009) - Solution
  • Older Exams and Assignments
  • see Prof. Paredis's ME2016 webpage
  • see Prof. Ferri's ME2016 webpage
  • see Prof. Smith's ME2016 webpage