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Avis et commentaires pour d'étudiants pour Mathematical Thinking in Computer Science par Université de Californie à San Diego

2,056 évaluations

À propos du cours

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 online 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....

Meilleurs avis


25 mars 2019

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 févr. 2021

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.

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176 - 200 sur 474 Avis pour Mathematical Thinking in Computer Science

par Jorge L M A

30 juil. 2020

really good course, a bit complicated at parts but overall really enjoyable

par A A

8 juil. 2020

I could strengthen the foundation of math for computer science.

Good course.

par Sourav M

28 mai 2018

Very nice course. Please include more puzzles and programming assignments.

par Oscar Y G

23 févr. 2022

Great Course it was really didactic even though the topics make you think

par Guo F

31 juil. 2020

Very well designed course! Looking forward to the update to the course!

par Aayush K S

4 juil. 2020

It's well organized course for a beginner. I really enjoyed the course.

par Manikant R

10 juin 2020

Very awesome course I have ever done, a lot of assignments and puzzles.

par Fernando T

8 juin 2021

C​urso é excelente, contém materiais diversos e estimula o raciocínio.

par Carlo D

20 déc. 2020

A very good collection of clearly presented logical thinking problems.

par Ananya T

11 juil. 2020

Amazing.Tons Of Exercises To Challenge You And It Makes It Fun As Well

par Sanchit K

15 juil. 2019

A very very fun course with interesting puzzles and engaging quizzes.

par Bharath k R

23 déc. 2021

o​ne of the best problem solving courses i have taken up on coursera

par Carlos B

10 déc. 2017

I hope this course could show me the basics of discrete mathematics.

par Fatin S

23 mars 2021

Such a nice course. Standard materials with great explainations.

par Robert C Y j

23 janv. 2021

it was challenging and tough but very well instructors and help.


23 sept. 2020

it was good doing this course. Helped a lot to learn new topics

par Satish K

14 déc. 2019

Awesome course. I have learned lots of things from this course,

par Robert Y H

26 nov. 2017

Was a nice course, gave a very good overview of logical proofs.

par Rishabh P

29 mai 2020

best course to learn logics,

And our instructors are also best.

par Konstantin S

4 mai 2019

Thanks a lot to the team of the course! It was really amazing.

par Tanvir M T

27 sept. 2020

Great course! Very difficult but helpful at the same time :)

par Ayrton C A d A

4 sept. 2020

Incredible course, I learned a lot of content I didn't know!

par anum

23 mars 2020

An excellent course to master the mathematical proof reading

par Mughees S

7 janv. 2020

Great course for creating foundation in discrete mathematics


4 août 2020

Nice and Difficult puzzles it's quite interesting subjects.