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 stars70.66%
- 4 stars20.29%
- 3 stars6.93%
- 2 stars1.11%
- 1 star0.99%
TOP REVIEWS FROM COMBINATORICS AND PROBABILITY
The final project is hard for me cuz I don't have Python experience. and the logic is a little bit complicated. That's not for absolutely beginners!
It was pretty interesting. Although, the requirement to know the python programming in the last course task was really unexpected to me.
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.
Difficult topics discussed in easy to understand ways and uses fun and interesting problems/exercises to test your understanding.
About the Introduction to Discrete Mathematics for Computer Science Specialization

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