I'd like to select several math courses this spring semester to prepare myself well for the application of the MFE program. Here are some candidates:
1. ODE: It would cover first order equations, second and nth order linear equations, series solutions, solution by Laplace transform, systems of linear equations. The thing is that I have learnt ODE during my one year study of calculus. Is it necessary to take a course specifically for ODE?
2. Intro to Survival analysis: It would cover the modern statistical methods for analyzing time-to-event data, such as Cox Regression, Kaplan-Meier estimator and so on. This course will not focus on financial data.
3. Non-parametric Statistics: order statistics, Wilcoxon test, Kendall test for independence, KS test, nonparametric regression and so on
4. Advanced Statistical Inference: frequentist estimation and testing, fiducial, Bayes, minimax, high-dimensional testing and estimation
5. Applied Computational Method II: numerical methods for ODEs and PDEs based on finite difference techniques with brief surveys of finite element and spectral methods. The only concern is that I haven't selected any PDE course before.
My rank of these five courses would be: 2 > 5>1>3>4. What do you guys think ?
Any comment would be helpful.
Thanks
1. ODE: It would cover first order equations, second and nth order linear equations, series solutions, solution by Laplace transform, systems of linear equations. The thing is that I have learnt ODE during my one year study of calculus. Is it necessary to take a course specifically for ODE?
2. Intro to Survival analysis: It would cover the modern statistical methods for analyzing time-to-event data, such as Cox Regression, Kaplan-Meier estimator and so on. This course will not focus on financial data.
3. Non-parametric Statistics: order statistics, Wilcoxon test, Kendall test for independence, KS test, nonparametric regression and so on
4. Advanced Statistical Inference: frequentist estimation and testing, fiducial, Bayes, minimax, high-dimensional testing and estimation
5. Applied Computational Method II: numerical methods for ODEs and PDEs based on finite difference techniques with brief surveys of finite element and spectral methods. The only concern is that I haven't selected any PDE course before.
My rank of these five courses would be: 2 > 5>1>3>4. What do you guys think ?
Any comment would be helpful.
Thanks