#### Mohamad Ternanni

##### New Member

I would please like to ask for your advice on whether I should take the 3 graduate courses above in 1 semester (along a standard undergrad course in computer architecture, the remaining 2 have negligible workload). I would like to have the skills needed to work as a quant intern by summer but I am not quite sure if I need all 3 of those courses above to get an internship. Do you think its a good idea to just push through it or to postpone 1 of those for next year?

The stochastic calculus course roughly covers Shreve 2, finite difference methods course is quite rigorous(functional analysis is a prereq) and covers finite element and finite volume discretizations & time-dependent problems. The econometrics course covers parameter estimation and hypothesis testing in a linear regression model. General least squares and its applications (e.g. heteroskedasticity, autocorrelation, multivariate regression), GMM estimation, simultaneous equation models and panel data models. Note that in spring I will be taking stochastic partial differential equations, time series analysis, Machine learning, and parallel programming in c++. Would my background be considered good enough for top institutions this summer?