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 stars63,99 %
- 4 stars24,05 %
- 3 stars7,06 %
- 2 stars1,94 %
- 1 star2,94 %
Principales reseñas sobre MATHEMATICAL THINKING IN COMPUTER SCIENCE
Course was good, but sometimes i needed additional sources to understand topic better. Maybe, it was because of my english. Anyway it gave me a path what i should look for! Thank you!
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
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!
I really liked this course, it's a good introduction to mathematical thinking, with plenty of examples and exercises, I also liked the use of other external graphical tools as exercises.
Acerca de Programa especializado: Introduction to Discrete Mathematics for Computer Science

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