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
About this Course
Skills you will gain
- Random Variable
- Probability Interpretations
Syllabus - What you will learn from this course
- 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!
informative material presented clearly and simply. I had studied bayes before and it was nice to get a concise review.
I've covered these topics before but there were a lot of great problems and extensions of concepts in this course. Worth doing.
Awesome course, good topics. Easy to get help. Some topics weren't that clear at first, but you'll eventually understand.
About the Introduction to Discrete Mathematics for Computer Science Specialization
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