Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics.
This course is part of the Introduction to Discrete Mathematics for Computer Science Specialization
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About this Course
Skills you will gain
- Random Variable
- Probability Interpretations
- Probability
- Combinatorics
Offered by
Syllabus - What you will learn from this course
Basic Counting
Binomial Coefficients
Advanced Counting
Probability
Reviews
- 5 stars70.59%
- 4 stars20.34%
- 3 stars6.94%
- 2 stars1.11%
- 1 star0.99%
TOP REVIEWS FROM COMBINATORICS AND PROBABILITY
Great course. The final Project unclear had instructions on how to provide input. I spent a lot of time trying to troubleshoot it even though I already have a correct solution
I really enjoyed taking this course. The teaching was pretty good and some of the quiz questions will challenge you if you haven't done Combinatorics before.
Special thanks to Prof. Vladimir Podolskii and Prof. Alexander S. Kulikov for their amazing explanations and diligent visuals of the concepts as well as problem sets. You Rock!
Had loads of fun during most part of the course. Frequent quizzes keep the learner on toes. Thoroughly enjoyed the final programming quiz to implement a dice game.
About the Introduction to Discrete Mathematics for Computer Science Specialization

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