Titles: Step By Step Probability I, Probability: Audible Lecture Series
By Dr. Michael Kouritzin
In recent years, many high schools have started to cover basic probability and statistics to help students cope with their early university probability courses. While today's students have a greater scope of mathematical knowledge and sophistication, they still struggle immensely in their first couple of courses in university probability. For example, the combined dropout/failure rate is often in the range of 15 to 20 per cent for each probability course taught to computer scientists, engineers etc. These probability courses are considered difficult due because of students' typically weak math backgrounds.
The goal for this text is to prepare students for interdisciplinary work or study in, for example, mathematical finance, computational science, engineering or applied mathematics by exposing statistical problems requiring computer solutions to those most capable of solving them. We have chosen the material presented here with these reasons in mind.
We feel it is important to delve reasonably deep into the most important topics with the aim of provoking thought. We have striven to enliven the material by taking an application-motivated, mathematically solid approach. In particular, experience working with probabilistic and statistical methods is more important than the actual topics covered. Therefore, we have chosen the motivational applications from those listed as favourites from previous students. We certainly hope that you will enjoy and benefit from the material as much as we believe you will.
This text focuses primarily on discrete probability, random vectors and stochastic processes, along with their applications to gambling, data processing and mathematical finance. Naturally, the amount of effort required for a course depends upon your background and relative abilities. Like all things in life, nothing comes for free; your earnest effort is required for success.
Here we describe the layout and purpose of the subsections listed below that the reader will encounter in this text.