Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?
Этот курс входит в специализацию ''Специализация Introduction to Discrete Mathematics for Computer Science'
Об этом курсе
- 5 stars64,03 %
- 4 stars24,02 %
- 3 stars7,04 %
- 2 stars1,95 %
- 1 star2,94 %
Лучшие отзывы о курсе MATHEMATICAL THINKING IN COMPUTER SCIENCE
I have come to know how mathematical proof is fun thing to do, this course transformed me, i highly recommend it to every one. I would like to thank every one involved in providing this course.
This course has made me appreciate discrete mathematics than ever before. If you're even thinking about taking this course, then I RECOMMEND that you stop thinking and take it!
a lot of it was hard to understand but it was nice to learn through the puzzles. i was completely lost during the honors content, and i thought we weren't well-prepared for the programming assignments
The excellent approaching of supplanting intuition with puzzles to help reason, before starting the lectures makes proof making one of the most fun parts in this course.
Специализация Introduction to Discrete Mathematics for Computer Science: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оплатив сертификацию?
Можно ли получить финансовую помощь?
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