We will get our feet wet with a deep dive into the methods of random processes which can be used to model radar signals, earthquakes, gambling and of course the stock market.
We will be able to describe the main models, analyse them, and apply them to certain scenarios and problems. This would cover most of the basic topics in a university level stochastic processes course.
We will cover the following main topics:
1. Random Processes
2. Discrete Markov Chains
3. Continuous Markov Chains
4. Poisson Processes
6. Brownian Motion
Anyone interested in modelling random phenomena, the stock market, probability and mathematics, or science enthusiasts.
After this course, you will have good grounding to model a range of random processes, (eg the stock market) have the basics to move on to topics like option pricing and quantitative finance, be comfortable solving problems involving stochastic process applied to a range of real world examples.
PhD Mathematics & Finance
My students range from high school to PhD level in NYC, London, Cambridge, (UK) and Johannesburg. In particular I know how to deal with key problem areas. (lack of confidence, memorisation techniques) I have taught calculus, financial math, linear algebra at Columbia University where I got my PhD....