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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?

In the course, we use a try-this-before-we-explain-everything approach: you will be solving many interactive (and mobile friendly) puzzles that were carefully designed to allow you to invent many of the important ideas and concepts yourself.

Prerequisites:

1. We assume only basic math (e.g., we expect you to know what is a square or how to add fractions), common sense and curiosity.

2. Basic programming knowledge is necessary as some quizzes require programming in Python.

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Taught by

Alexander S. Kulikov, Michael Levin and Vladimir Podolskii