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?
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
- Mathematical Induction
- Proof Theory
- Discrete Mathematics
- Mathematical Logic
Offered by
Syllabus - What you will learn from this course
Making Convincing Arguments
How to Find an Example?
Recursion and Induction
Logic
Reviews
- 5 stars63.94%
- 4 stars24.03%
- 3 stars7.06%
- 2 stars1.97%
- 1 star2.96%
TOP REVIEWS FROM MATHEMATICAL THINKING IN COMPUTER SCIENCE
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
Contents are very good for starting.....
But the Teachers way of explaining is not up to the mark. I need to search in youTube or google for understanding any topic even watching the videos.
The Lectures were pretty clear and concept oriented. Yet there were some topics which aren't much clear, but still the whole course is pretty well arranged and good in explaining
though i stuck somewhere but mentors was always there to assist you. really found this course interesting and very helpful. solved so much of tricky puzzles, Good course
About the Introduction to Discrete Mathematics for Computer Science Specialization

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