I am expecting a long gap from JOB and nothing can be better for me to learn and apply. I am planning to learn, revisit and clarify my mathematical concepts starting with elementary stochastic process.

*I really don’t have relevant back ground to give expert advice. This article is purely for my own learning. I will appreciate, if you can provide me with relevant tutorial or  you notify any error here*

Resources
long list of lecture notes: http://web2.uwindsor.ca/math/hlynka/stochOnline.html
Some advance level: http://elegans.som.vcu.edu/~leon/algebra/
http://mathworld.wolfram.com/topics/ProbabilityandStatistics.html
Eoc phd notes: http://econphd.econwiki.com/notes.htm

Books:
Very good book for undergrad engineering math and stats (Particularly great companion with John Hull’s OFD) : Brownian Motion Calculus
or Any elementary stochastic process book [ Ross, Lefebvre ]

Random Walk
Basic stochastic simulation
Poisson  Process
Gambler Ruin
Markov Chain/Process
Martingale
Lévy process
Ornstein–Uhlenbeck process
Cox–Ingersoll–Ross model

I will post relevant resources and sample code in R/Matlab for each section.