drupollini
epsilon machine
- Joined
- 11/3/10
- Messages
- 9
- Points
- 38
I'm sure I am not alone in wanting to be as prepared as possible for the MFE program when it starts in the Fall. The program offers a lot of help with the Summer Refresher courses, but I find myself with a ton of time that I'm trying to fill with improving my weaknesses.
Here's some of what I've been trying to do:
Programming
I'm not a trained programmer, so getting better and learning more in this area has been a big focus. Books I've been reading:
Also, I highly recommend checking out Project Euler.
Math
I have a stronger math background, but after taking the Pre-MFE courses I know that there are some areas I can improve in.
Books:
Here's some of what I've been trying to do:
Programming
I'm not a trained programmer, so getting better and learning more in this area has been a big focus. Books I've been reading:
- Problem Solving with C++ by Walter Savitch. Re-reading this one. Great for syntax and programming principles. Textbook for the C++ refresher.
- Data Structures and Algorithms Using C++ and Python by David Reed. Reading selectively. Good coverage so far of OOP and memory management.
- C++ Design Patterns and Derivatives Pricing by Mark Joshi. More complex use of classes with focus on option pricing. The author offers a way to price options using OOP that gets better and more sophisticated as the book progresses.
- Python
- R
- SQL
- VBA
- BASH
Also, I highly recommend checking out Project Euler.
Math
I have a stronger math background, but after taking the Pre-MFE courses I know that there are some areas I can improve in.
Books:
- Elementary Stochastic Calculus with Finance in View by Thomas Mikosch. Breezy overview of stochastic calculus and the stuff its based. I want to get a feel for what stochastic calculus is all about before we cover it more seriously in the Fall.
- Probability by Albert Shiryaev. Currently taking a break from this one. Its a little heavy. I've taken probability before, but not measure theory. I've gotten through about 100 pages but can't say I've developed any new insights, though I'm now more comfortable with the LLN and CLT.