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?
- 5 stars64.01%
- 4 stars24.03%
- 3 stars7.04%
- 2 stars1.95%
- 1 star2.95%
MATHEMATICAL THINKING IN COMPUTER SCIENCE からの人気レビュー
The teachers are informative and good. They explain the topic in a way that we can easily understand. The slides provide all the information that is needed. The external tools are fun and informative.
The course is good made me think logically, good as a starting course start fast-finish fast and there you have the warm-up, though you need some knowledge of python for completing this course
This was a great course with great explanation. Thank you Coursera for providing me financial aid and thank you University of California for making this wonderful course.
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.