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Opiniones y comentarios de aprendices correspondientes a Mathematical Thinking in Computer Science por parte de Universidad de California en San Diego

1,997 calificaciones
464 reseña

Acerca del Curso

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....

Principales reseñas

25 de mar. de 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 de feb. de 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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76 - 100 de 460 revisiones para Mathematical Thinking in Computer Science

por Andrew M

26 de oct. de 2017

A great introductory course and well organized. You can feel that professor loves mathematics.

por Anup K K

27 de abr. de 2020

Just the last Bonus Track problem please give some hints how to approach and solve the problem

por Radmilo M

6 de abr. de 2020

The course is perfect for those which want to learn math on deeper level in computer science.

por Dr R L

22 de abr. de 2020

Good content but little problem phase in python programming

por Feyaz B

8 de may. de 2020

Covered all the basics, I learnt a lot from this!

por Sowat H R

27 de abr. de 2020

Highly recommended for beginners.


6 de may. de 2020

Good and Nice way of learning

por Nick E

22 de abr. de 2020

Really enjoyed it. Thanks!

por Devang K

4 de jun. de 2020

Awesome and Interactive!

por Shyam M

5 de may. de 2020

I just loved the course.

por Ujjwal K

3 de may. de 2020

I learned to think!

por Devanshi C

9 de may. de 2020

It was awesome 😊

por Vanshika M

23 de abr. de 2020

loved learning

por lilass h

25 de abr. de 2020


por Ridesh R

10 de jul. de 2020

The Course is Good overall but the entire lectures in Week 6 is not clear to me . Alexander sir done a great job in Week 1 and 2 but not that great in Week 6. Even though I re-watched the lectures again, I can't able to get full information given in the videos......I struggled so much in Quiz questions of Week 6...

por Farid H

22 de dic. de 2018

The last one was a little bit hard, still couldn't write the code for the 15 puzzle game. Did it just by intuitive trial error

por Timothy L

21 de mar. de 2018

Broken English and an inflated $79 to take practice tests, but the professor is knowledgeable and makes proofs fun.

por Gaurav M

8 de jul. de 2020

Week 6 could have been improved, apart from that excellent!!

por Amritya V D

12 de feb. de 2019

very very fun way to understand simple things

por Sebastian M

29 de mar. de 2020

I definitely learned a thing or two about types of proofs, but this class could have been constructed much better. The biggest flaw was that even after going through the entire course, the professors only rarely connected the material to computer science, despite the course being called "Mathematical Thinking in Computer Science". I appreciate their approach of "solve puzzle" -> "learn about relevant proof to be able more efficiently solve similar puzzles" but the course would be better if they tied each concept into computer science / algorithms etc at the end of each section. Beyond that, there are some general course construction issues. The professors often make mistakes in the videos, but rather than actually fix the videos, they just put a comment screen over the video pointing out the error. Speaking of the comment screens, they often ask questions relevant to the lecture, but they cover the whole screen and you can't actually see the content they are asking about, so you have to skip the question, go back, and then let the comment screen appear again before you can reasonably attempt to answer the question; this is an annoying process. To improve this, the content needed to answer each question should be shown within the comment screen itself.

por Daniel S

19 de ene. de 2019

Some of the explanations of concepts was just not clear and there were many verbal errors and some really odd editing in many of the videos. Overall the quality of this course is so so.

por M. A

17 de jul. de 2020

In order to complete this class, you need experience in programming and problem solving using a programming language.

por Evgeny B

24 de jun. de 2020

I will try to be objective here. I really liked the puzzles. They are very well implemented and help with understanding of the material. But this is the only thing I liked about the course. These puzzles really make up for the poor quality of the professors. Michael Levin and Alexander Shen possess an amazing quality to make even 2 minute videos simply unbearable. If you want to experience a real Soviet school style, you should definitely try try this course. Both explanations and assignments are very poorly formulated. The professors simply show you the slides and read the text from it. This is by far the worst course I took on Coursera.

por Richard K

5 de abr. de 2021

Overall I found the quality of the course quite poor. The course is offered by "University of San Diego", however all of the lecturers are Russian, which is a bit confusing. I don't mind the fact that they're Russian, however the content of the course (lectures/quizzes/puzzles) is full of (English) mistakes, and quite a few questions/answers have been worded in such a way that they don't really make sense. This course clearly hasn't been reviewed by a copywriter.


2 de jul. de 2020

The last two week lectures were very confusing.