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Feb 18th, 2018
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  1. Rudimentary low-level programming.
  2. Data and computational resources at Copenhagen University and beyond.
  3. Monte Carlo simulation techniques in option pricing: Variance reduction, diffusion (and possibly Levy) process simulation, American options, adjoint techniques.
  4. Numerical transform methods for option pricing.
  5. Numerical optimization and model calibration.
  6. Numerical methods for solving parabolic partial differential equations.
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