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There are a lot of problems we face in programming that deal with uncertainty, statistics, and probabilities. Unfortunately, the majority of the general-purpose languages that we use on a daily basis don’t provide a great approach to solving them.

This is particularly the case in C# with the System.Random class. The implementations of this class have been pretty poor for some time. System.Random in C# regularly leads to unexpected, buggy outcomes.

If you’re a C# fan who’s looking for new ways to use the language, then this course is for you. It proposes different approaches to improving the System.Random class, providing a number of powerful techniques that solve problems more efficiently and with fewer lines of code.

Fixing Random: Techniques in C#

## Application of the Stochastic Workflow Technology
You are probably familiar with the famous "*Monty Hall*" problem, but if not, here it is:



# Application of the Stochastic Workflow Technology
You are probably familiar with the famous "*Monty Hall*" problem, but if not, here it is:



In this lesson, we will be discussing an interesting problem called the Monty Hall Problem. It can be solved using the stochastic workflow technology.

Monty Hall Problem

Introduction to System.Random in C#

Introduction to Fixing Random

Fixing Random - Discrete Distribution

Fixing Random - Continuous Distribution

Conclusion

Appendix

Monty Hall Problem

Application of the Stochastic Workflow Technology