Gain insights into tackling uncertainty in C# programming. Delve into improving System.Random class with powerful techniques for efficient problem-solving and fewer bugs. Discover new language uses.

csharp.tar.gz

ep10

ep11

ep12

ep13

ep14

ep15

ep16

ep17

bonus01

ep18

ep20

ep21

ep22

ep24

ep23

ep25

ep26

ep27

ep28

ep29

ep30

ep31

ep32

ep33

ep34

ep36

ep37

ep38

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:



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