• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

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

Joined
11/3/19
Messages
3
Points
13
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!
 
Last edited:
Back
Top