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?
Este curso forma parte de Programa especializado: Introduction to Discrete Mathematics for Computer Science
Ofrecido Por
Acerca de este Curso
Habilidades que obtendrás
- Mathematical Induction
- Proof Theory
- Discrete Mathematics
- Mathematical Logic
Ofrecido por
Programa - Qué aprenderás en este curso
Making Convincing Arguments
How to Find an Example?
Recursion and Induction
Logic
Reseñas
- 5 stars63,91 %
- 4 stars24,05 %
- 3 stars7,07 %
- 2 stars1,98 %
- 1 star2,97 %
Principales reseñas sobre MATHEMATICAL THINKING IN COMPUTER SCIENCE
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
I applaud the instructors for their efforts in explaining the concepts as they could be abstract and hard to explain in words! More examples to illustrate the concepts will be even more helpful!
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.
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
Acerca de Programa especializado: Introduction to Discrete Mathematics for Computer Science

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