Voltar para Mathematical Thinking in Computer Science

estrelas

2,057 classificações

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....

AD

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.

AM

27 de fev 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.

Filtrar por:

por Mohammed R

•30 de abr de 2019

Absloutely Fantastic. I highly recommend it to anyone who wants to learn data structures and algorithms thoroughly.

por Singhi K

•2 de jan de 2018

Enjoyable and interesting...also easy to follow for people like me who have been out of college long time back.

por Ernest D

•5 de jan de 2019

this is a very nice course ,its has broaden my whole knowledge about maths

thanks to the creator of this course

por Ethio T

•12 de out de 2019

The course is very good at equipping the basic math concepts for computer science. I highly recommend it!

por Swarnava S

•13 de jun de 2019

Awesome course for beginners. It helped me alot to understand the logic and how to solve problems.

por Rafael D d L P

•2 de ago de 2018

Great introduction to mathematical thinking and how to apply it to computational problems.

por KUMAR A

•24 de jan de 2020

This was the one-stop that I'll never regret learning things again in a different manner.

por Vishnu M

•7 de set de 2019

Puzzles are great. Seems Instructors put lots of efforts into it. Different approach !

por Jesse W

•2 de mai de 2019

This course mostly consists of a set of loosely related under the umbrella of discrete mathematics. A lot of the exercises take the form of puzzles where you either have to solve the puzzle or determine whether a solution is impossible. The puzzles are fun and make for good brain exercise; however, I'm not sure if all of this has made me a better programmer. It's worth noting that most Computer Science degrees will require some form of discrete math coursework, so if you're considering CS and are worried about the math requirements, this Specialization would be good to try out.

por Anton M

•4 de abr de 2019

Great course with variety of different mathematical puzzles.

Two things can be improved:

1) It's not always obvious which global subject is discussed during the week and what is a connection with puzzles, some kind of review video at start of each week will be helpful.

2) Sometimes explanations not clear at all. I did watched some videos 2-3 times before completely understand what is going on. It will be great to have a rigours proof of theorems as supplementary reading material.

por Mike P

•31 de jan de 2019

I liked the course, and I enjoyed the math for sure. BUT, I think there were some sections that could have been explained more thoroughly and perhaps some videos that could have been shot again to be more clear. But whatever, I am very grateful to be able to learn this here :)

por Vladimir K

•5 de fev de 2018

While the material itself is important and very useful in general, the course, unfortunately, doesn't have enough practical material to help students to internalise it.

por Frederick H K K

•21 de jan de 2019

Some explanation are unclear or confusing.

por Md. Z M

•26 de abr de 2019

The course is taught by 3 instructors. This makes the experience strikingly unbalanced. The style of course delivery and explanation is very poor with one of the instructors, the one who took Week 1 and 6. The rest of the weeks were OK. The other two instructors were clear with their arguments. This course has a very different approach (do-it-yourself-before-expalnation-by-instructors), although it was mentioned clearly on the Course Info page. If you can make out yourself what strategy to apply for the interactive puzzles, then you are doing good. Otherwise, the puzzles will just be trial-and-error games for you. The instructors were kind enough to answer on the Discussion Forum, but do not expect much activity from your fellow learners as there might be very few people taking this course with you.

por Carlos V

•15 de fev de 2020

I believe that the content of this course is both important and interesting. However, the learning methods used are awful. To begin with, while going through the interactive puzzles I felt that I was not learning anything related to the core lesson at hand. Moreover, the exercises feel like disconnected trivia unrelated to the theoretical explanations. I think the course should be heavily revamped in order to present a proper and useful corpus of knowledge.

por Anand R

•27 de jul de 2020

The team presented the concepts in a fun and easy ways to learn. They usually start off with a puzzle exercise so that we are better prepared to understand the concepts in the subsequent lessons. Some of the lessons need intermediate mathematics and programming experience. The instructors are also very responsive in the discussions forums. Whatever the shortcomings, they are not significant. For e.g., sometimes it was difficult to understand their accent but this can be overcome by using closed captions. There were some technical difficulties with tools that the instructors remedied pretty quickly. Overall, an excellent course on the subject. Thank you.

por Alvaro A

•9 de jul de 2021

After so many digging, I can only say this is the best introductory course for mathematical thinking, Its amazingly creative and I recommend following the book along with the course. The teachers present the material in a really fun and engaging way. This is definetly how a mooc should be made.

por Jacob K

•9 de jan de 2021

I personally have very limited coding skills. this course was able to build my funadmentals in both math and science while understanding more of the bridge between the two. Very thankful for it.

por Himanshu P M

•7 de mai de 2020

This course is good for beginner.

rather than being complicated it will change the way you think.

one advice---- you should have knowledge of python basic to complete the assignment of this course

por yonas a

•24 de mai de 2020

I have come to know how mathematical proof is fun thing to do, this course transformed me, i highly recommend it to every one. I would like to thank every one involved in providing this course.

por Mohamed A H

•26 de jun de 2020

This course will improve your problem solving skills and gives you a rigorous explanation in how to counter various mathematical problems in the real life. You will think like a mathematician.

por Jonibek N

•29 de abr de 2020

Course was good, but sometimes i needed additional sources to understand topic better. Maybe, it was because of my english. Anyway it gave me a path what i should look for! Thank you!

por Sanjay A

•17 de set de 2017

I was waiting for such a great course on discrete Mathematics in coursera.

Thank you UC San Diego

por Dmytro N

•5 de out de 2017

I like the course. Still some mistakes and bugs, but course is really interesting to pass. Thanks

por PLN R

•9 de jul de 2019

An amazing course really!! The interactive fun assignments make it all the more interesting!! :D

- Analista de dados do Google
- Gestão de projetos no Google
- Design de UX no Google
- Suporte de TI do Google
- Ciência de dados da IBM
- Analista de dados da IBM
- Análise de dados da IBM com Excel e R
- Analista de Cibersegurança da IBM
- Engenharia de dados da IBM
- Desenvolvedor de nuvem full stack – IBM
- Marketing em mídias sociais do Facebook
- Análise de marketing do Facebook
- Representante de desenvolvimento de vendas da Salesforce
- Operações de vendas da Salesforce
- Contabilidade da Intuit
- Preparação para a Certificação em Google Cloud: Cloud Architect
- Preparação para a Certificação em Google Cloud: Cloud Data Engineer
- Inicie sua carreira
- Prepare-se para uma Certificação
- Amplie suas qualificações profissionais

- cursos gratuitos
- Aprenda um idioma
- pythonpython
- Java
- web designweb design
- SQL
- Cursos grátis
- Microsoft Excel
- Gestão de projetos
- Segurança cibernéticaSegurança Cibernética
- Recursos humanos
- Cursos gratuitos de ciência de dados
- falar inglês
- Redação de conteúdo
- Desenvolvimento Web completoDesenvolvimento Web Completo
- Inteligência artificial
- Programação em C
- Habilidades de comunicação
- Blockchain
- Veja todos os cursos

- Competências para equipes de ciência de dados
- Tomada de Decisões Baseada em Dados
- Habilidades de engenharia de software
- Habilidades Pessoais para Equipes de Engenharia
- Habilidades Administrativas
- Habilidades de marketing
- Habilidades para Equipes de Vendas
- Habilidades de Gerente de Produto
- Habilidades Financeiras
- Cursos de ciência de dados populares no Reino Unido
- Beliebte Technologiekurse in Deutschland
- Certificações populares de segurança cibernética
- Certificações populares de TI
- Certificações populares de SQL
- Guia de carreira de gerente de marketing
- Guia de carreira de gerente de projeto
- Habilidades de programação em Python
- Guia de carreira de desenvolvedor Web
- Competências de análise de dados
- Habilidades para designers de UX

- Certificados MasterTrack®
- Certificados profissionais
- Certificados universitários
- Graduações em negócios e MBA
- Graduações em Ciência de Dados
- Graduações em Ciência da Computação
- Graduações em análise de dados
- Graduações em Saúde Pública
- Graduações em ciências sociais
- Graduações em gestão
- Graduações nas melhores universidades europeias
- Mestrados
- Bacharelados
- Graduações com uma trajetória de desempenho
- Cursos em Ciências (BSc)
- O que é uma licenciatura?
- Quanto tempo leva um mestrado?
- Um MBA on-line vale a pena?
- 7 maneiras de pagar pela pós-graduação
- Ver todos os certificados