Chevron Left
Вернуться к Mathematical Thinking in Computer Science

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

4.4
звезд
Оценки: 1,950
•
Рецензии: 454

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

AD
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.

AM
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:

201–225 из 448 отзывов о курсе Mathematical Thinking in Computer Science

автор: Aruneema D

•
26 сент. 2020 г.

Really Nice! I would like to do more courses like this

автор: Wonder K G

•
29 авг. 2020 г.

This is very interesting.. my head is about to explode

автор: Fahmida B

•
23 июня 2020 г.

Its e great experience. I Learn every topic clearly.

автор: Gibran E C

•
2 янв. 2018 г.

Awesome course. You'll need some basic python for it.

автор: Robin D

•
7 мая 2021 г.

Very fun course, loved the interactive assignments.

автор: Sonu K

•
30 нояб. 2020 г.

Nice Experience on coursera.Good learning platform

автор: Harshitha

•
14 июня 2020 г.

An excellent course to brush up the fundamentals .

автор: Kundan s

•
6 сент. 2020 г.

Thank you for such exceptionally precious course

автор: Myo T

•
12 июня 2020 г.

A great help to my study of mathematical proofs.

автор: Stefan D

•
3 нояб. 2017 г.

Fun introduction to proofs and logical thinking

автор: Khaled A

•
6 окт. 2020 г.

Great instructors. Well organized structure.

автор: idan b

•
5 окт. 2017 г.

its very clear to step 1 of starting

автор: Shreyash P

•
9 сент. 2020 г.

learned new technique will help in dsa

автор: Tyler E

•
9 июля 2020 г.

Lots of fun and very clear explanations!!

автор: Kunal A

•
18 июня 2020 г.

Really Good Course to improve your skills

автор: Yash

•
4 янв. 2020 г.

wonderful course improved my skills a lot

автор: MARIN, M A (

•
14 мар. 2020 г.

Puzzle activities are very fun to do. :)

автор: NITIN K

•
8 мар. 2020 г.

It was great. I learnt a lot of things.

автор: Rafael E

•
30 мая 2018 г.

Excellent intro to mathematical proofs!

автор: A.swetha

•
11 окт. 2020 г.

Its really useful to me I learned it's

автор: Greg T

•
14 июля 2020 г.

Interesting programming assignments.

автор: Shubham C

•
3 июня 2020 г.

The Course is basic but really nice.

автор: AMAN B

•
19 мая 2020 г.

They are teaching some nice stuff.

автор: Анастасия Д

•
4 июня 2018 г.

Nice course for beginners in Math

автор: Buchireddypalli K

•
21 янв. 2021 г.

This course is really helpful.

Coursera Footer

Начните карьеру или продвиньтесь по карьерной лестнице

Смотреть популярные темы

Развивайте свою команду

Получите диплом или сертификат онлайн

Coursera

Сообщество

Еще

Учитесь, где угодно
Загрузить из App StoreЗагрузить в Google Play
Placeholder