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Вернуться к Mathematical Thinking in Computer Science

Отзывы учащихся о курсе Mathematical Thinking in Computer Science от партнера Калифорнийский университет в Сан-Диего

Оценки: 1,751
Рецензии: 413

О курсе

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....

Лучшие рецензии

25 мар. 2019 г.

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.

27 февр. 2021 г.

It is a great course! teachers explain everything with care. While providing lectures there are some popup ques that verify whether you understood that lecture or not. Overall, a great experience.

Фильтр по:

401–405 из 405 отзывов о курсе Mathematical Thinking in Computer Science

автор: William L H

24 авг. 2020 г.

I'm not sure which is more bizarre, the topics being discussed or the quizzes.


17 мая 2020 г.

By far the worst Coursera course, I've taken

автор: Nrupa

5 окт. 2020 г.

I want to unenroll

автор: Yiqing L

26 февр. 2020 г.

quiz is too hard!!

автор: Furat M A

26 нояб. 2020 г.

Very poor