Hi. I am currently a 3rd year math student in a Canadian university hoping to pursue MFE in the future.
I am able to squeeze in one more elective to my schedule. What course would be more beneficial in terms of preparing for MFE? Thank you.
(p.s I think this is my first time posting in Quantnet although I joined this forum quite some time ago :dance
<table border="0" width="80%"><tbody><tr><td align="left">STAT 340 LAB,LEC 0.50</td><td align="right">Course ID: 004408</td></tr><tr><td colspan="2">Computer Simulation of Complex Systems</td></tr><tr><td colspan="2">Building and validation of stochastic simulation models useful in computing, operations research, engineering and science. Related design and estimation problems. Variance reduction. The implementation and analysis of simulation results.</td></tr></tbody></table>
<table border="0" width="80%"><tbody><tr><td align="left">STAT 341 LAB,LEC 0.50</td><td align="right">Course ID: 011431</td></tr><tr><td colspan="2">Computational Statistics and Data Analysis</td></tr><tr><td colspan="2">Approximation and optimization of noisy functions. Simulation from univariate and multivariate distributions, multivariate normal distribution, mixture distributions and introduction to Markov Monte Carlo. Introduction to supervised statistical learning including discrimination methods.</td></tr></tbody></table>
I am able to squeeze in one more elective to my schedule. What course would be more beneficial in terms of preparing for MFE? Thank you.
(p.s I think this is my first time posting in Quantnet although I joined this forum quite some time ago :dance

<table border="0" width="80%"><tbody><tr><td align="left">STAT 340 LAB,LEC 0.50</td><td align="right">Course ID: 004408</td></tr><tr><td colspan="2">Computer Simulation of Complex Systems</td></tr><tr><td colspan="2">Building and validation of stochastic simulation models useful in computing, operations research, engineering and science. Related design and estimation problems. Variance reduction. The implementation and analysis of simulation results.</td></tr></tbody></table>
<table border="0" width="80%"><tbody><tr><td align="left">STAT 341 LAB,LEC 0.50</td><td align="right">Course ID: 011431</td></tr><tr><td colspan="2">Computational Statistics and Data Analysis</td></tr><tr><td colspan="2">Approximation and optimization of noisy functions. Simulation from univariate and multivariate distributions, multivariate normal distribution, mixture distributions and introduction to Markov Monte Carlo. Introduction to supervised statistical learning including discrimination methods.</td></tr></tbody></table>