Which class would be more useful? Scientific computing or mathematical statistics?

[bluemonkey]

Choosing classes for my upcoming sophomore spring semester. Planning to eventually take both, but which would help particularly in regards to recruiting for junior summer internships (likely quant trading or research)? I would be using C++ in scientific computation.

Topics covered in Scientific Computation in Numerical Analysis: computer arithmetic, nonlinear algebraic equations, direct methods for systems of linear algebraic equations, polynomial interpolation, numerical differentiation and integration, and initial-value problems for ordinary differential equations

Topics covered in Math Stats: Sampling distributions of statistics, estimation of parameters (confidence intervals, method of moments, maximum likelihood, comparison of estimators using mean square error and efficiency, sufficient statistics), hypothesis tests (p-values, power, likelihood ratio tests)

Thanks!

 

[IntoDarkness]

both r useful but scientific computing may be better as it more likely results in immediate contribution to the job

 

[Daniel Duffy]

"Scientific Computation" sounds like a fancy name for (applied) Numerical Analysis as I present here

https://www.datasim.nl/onlinecourses/101/distance-learning-applied-numerical-methods

 

[bluemonkey]

"Scientific Computation" sounds like a fancy name for (applied) Numerical Analysis as I present here

https://www.datasim.nl/onlinecourses/101/distance-learning-applied-numerical-methods

Yes it is, the full class name is Scientific Computation in Numerical Analysis

 

[Daniel Duffy]

Sounds good, And in C++?

 

[bluemonkey]

Sounds good, And in C++?

Yes!