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

**5 hours to complete**

### Basic Counting

**5 hours to complete**

**4 hours to complete**

### Binomial Coefficients

**4 hours to complete**

**3 hours to complete**

### Advanced Counting

**3 hours to complete**

**5 hours to complete**

### Probability

**5 hours to complete**

## Reviews

- 5 stars70.59%
- 4 stars20.34%
- 3 stars6.94%
- 2 stars1.11%
- 1 star0.99%

### TOP REVIEWS FROM COMBINATORICS AND PROBABILITY

Amazing course, gave me geometrical intuitions some times that made understanding a whole lot easier. The explanation was quite clear.

Difficult topics discussed in easy to understand ways and uses fun and interesting problems/exercises to test your understanding.

informative material presented clearly and simply. I had studied bayes before and it was nice to get a concise review.

This course provided me with new ways to confront the problems of combinatorics. I am very grateful to the faculty for their content and coursera for giving me financial aid.

## About the Introduction to Discrete Mathematics for Computer Science Specialization

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