Volver a Mathematical Thinking in Computer Science

estrellas

1,949 calificaciones

•

454 reseña

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....

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 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.

Filtrar por:

por James C D

•10 de may. de 2021

I'd like to unenroll, but coursera does not show an option to do so!

por Nrupa S

•5 de oct. de 2020

I want to unenroll

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 储忻

•9 de abr. de 2021

Overall, I think the course has a good content and lots of inspiring material, from which I learned a lot. It lives up to its name and taught me a lot of mathematical thinking in CS. The discussion forum is also helpful. The staff is responsive.

But some courses, especially in week 4 and 5, could be explained better. For some programming quiz, the robot grader lacks the flexibility to recognize the correct solution that achieves the same purpose but presents in a slightly different format. Sometimes, the problem statement should be clarified better.

por Keagan P R

•17 de jun. de 2020

Lot's of fun challenging puzzles and things to think about. Had a lot of fun. Learned interesting techniques like induction, double counting, and backtracking -- which controls the combinatorial explosion of non-polynomial problems. The final bonus problem is really challenging and a great joy to solve. Don't give up even if you're not really a natural math person like me. You will find value here. Generally, this course, like my other favourites, is about how to think about things when you don't know the formula.

por Vimal E

•25 de may. de 2020

This course teaches about methods of proof used in mathematics. But it would be a disservice to say that is all that this course is about. It is much more than that. It lets you glimpse at the beauty hidden behind mathematics. For me the highlight of the course is the suite of interactive tools that motivate the techniques about to be taught. If you are taking the course please make sure you play with these tools and try to solve the problems before you watch the relevant lectures.

por Juliano P

•1 de dic. de 2020

Really nice material. There are lots os exercises and quizzes throughout the course, it was a very different experience compared to other courses I did in Coursera because the professors include questions as if you were in the classroom, like "Do you see what I mean with this?" or "Can you solve the problem now?", which makes you think again and pay more attention. Going to the 2nd module now!

por Khin M M M

•10 de dic. de 2020

Dear Teachers,

Firstly, I would like to tell you about that I greatly respect and admire to our teachers.

Although I'm not a programmer, I'm very interested in programming languages and computer science. Thus, I took this course.

I like the whole course.

Thanks, a lot to our Teachers, teaching staffs, and all other.

I do thank.

por Abhay B

•23 de ago. de 2020

It was really very important of a computer Science student to learn Discrete Mathematics. This course is really meant for such thing that why mathematics(Discrete mathematics) is important. Teachers are best, they help if anyone asks them their doubts. Its a great platform where you learn new things things which are very helpful. I thank all the teachers here who taught us.

por Pronay K P

•18 de dic. de 2020

Great experience!

My special thanks to professor Alexander S. Kulikov, Michael Levin and, Vladimir Podolskii for their great works. Besides, I am really grateful to the University of California San Diego & National Research University Higher School of Economics and Yandex.

Confidently, I would like to say "COURSERA" is the best!

por Rodrigo G L

•2 de ene. de 2021

Excellent course, presented in a very didactic way by combining theory and practice. It is not a collection of exposed knowledge to memorize, but rather a series of challenges of varying difficulty: some easy and others that almost make your head explode. I loved.

por Samyak J

•22 de sep. de 2020

It was just awesome. Honestly, I've not taken this good course till now. It was easy, entertaining, surprising, shocking, advanced, cool all at the same time. Thank you UC San Diego, NR HSE and Coursera for providing such an amazing Stuff.

por Muhammad Y A

•26 de oct. de 2020

So much fun using mathematics and it's basic to learn a bit of computer science!. The quiz is really challenging but, you can still solve it with a bit of practice. The lecture is enough but the concept and the assignments were very neat.

por Kushwanth R

•28 de jul. de 2020

Puzzles are great and its is fun learning the course but the problem is with the programming assignments. they are bit annoying. Even using programming in the video lecture its hard to find the relation b/w programming and mathematics.

por MD. M I

•22 de may. de 2021

It was great in terms of everything. But, I didn't like the thing that some assignments support the only python. They should include C++ and java also... Struggled in coding python just that's it. But it was great overall.

por Dang T M N

•27 de jul. de 2020

The course provides useful knowledge to improve mathematical thinking. I have learnt a lot from the course. The programming exercises are interesting and motivate me to apply what I have learnt into solving problems.

por Yves R W

•30 de ene. de 2021

Great intuitive problems and introduction to mathematics, the course bridges these then well to small programming challenges. I would highly recommend this to annyone interested in becoming a better programmer!

por MANIKANTA P

•9 de sep. de 2021

This is one of the best courses I've been into! Anyone looking forward for a breakthrough in their career of computer science or maths should really check this course out! The teaching staff were great too!

por Deleted A

•20 de jun. de 2020

Great course that asks questions as you go along, my only issue is that for some parts of the course, a lot of content is covered and not all aspects have a question to ensure you actually understand it.

por Amanat U M

•28 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.

por Jacob K

•9 de ene. 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 KANG J H

•8 de may. de 2021

Mathematical thinking seemed very difficult to approach but from this course I was able to advance myself more progressively through puzzles and examples which was very easy to understand.

por Mohamed H I

•16 de sep. de 2020

Positive: Great material, full of concepts, the teaching is simple and interactive, quizzes are amazing.

Negative: Too much python programming (need to be aware of python basics)

por JEYA S K R

•15 de jun. de 2020

Mathematical Thinking in Computer Science course is very interesting to solve the puzzles and to think solutions in more than one way, This was surely enthusiastic :-)

por Dian Y T S S

•22 de jul. de 2020

I love this course because it's make math not so boring, every puzzle is very challenging, hope sometime in the future I can meet with all the lecturer in this course.

- Analista de datos de Google
- Gestión de proyectos de Google
- Diseño de experiencia del usuario (UX) de Google
- Soporte de TI de Google
- Ciencia de datos de IBM
- Analista en datos de IBM
- Análisis de datos de IBM con Excel y R
- Analista de ciberseguridad de IBM
- Marketing en redes sociales: Facebook
- Desarrollador de la nube de pila completa de IBM
- Representante de desarrollo de ventas de Salesforce
- Operaciones de venta de Salesforce
- Soporte de Tecnologías de la Información de Google
- Certificado profesional de Suporte em TI do Google
- Automatización de TI de Google con Python
- DeepLearning.AI Tensorflow
- Certificaciones populares en Seguridad Cibernética
- Certificaciones populares en SQL
- Certificaciones populares en TI
- Ver todos los certificados

- cursos gratuitos
- Aprende un idioma
- python
- Java
- diseño web
- SQL
- Cursos gratis
- Microsoft Excel
- Administración de proyectos
- seguridad cibernética
- Recursos Humanos
- Cursos gratis en Ciencia de los Datos
- hablar inglés
- Redacción de contenidos
- Desarrollo web de pila completa
- Inteligencia artificial
- Programación C
- Aptitudes de comunicación
- Cadena de bloques
- Ver todos los cursos

- Habilidades para equipos de ciencia de datos
- Toma de decisiones basada en datos
- Habilidades de ingeniería de software
- Habilidades sociales para equipos de ingeniería
- Habilidades para administración
- Habilidades en marketing
- Habilidades para equipos de ventas
- Habilidades para gerentes de productos
- Habilidades para finanzas
- Proyectos de desarrollo de Android
- Proyectos de TensorFlow y Keras
- Python para todos
- Aprendizaje profundo
- Habilidades de Excel aplicadas para los negocios
- Aspectos básicos de los negocios
- Aprendizaje Automático
- Aspectos básicos de AWS
- Bases de la Ingeniería de Datos
- Habilidades como analista de datos
- Habilidades para diseñadores de experiencia del usuario

- MasterTrack® Certificates
- Certificados profesionales
- Certificados universitarios
- MBA y títulos de grado en negocios
- Títulos en ciencias de los datos
- Títulos en ciencias informáticas
- Títulos en Análisis de datos
- Títulos en salud pública
- Títulos de grado en Ciencias Sociales
- Títulos en administración
- Títulos de grado de las principales universidades europeas
- Maestrías
- Licenciaturas
- Títulos de grado con trayectoria de desempeño
- Cursos BSc
- ¿Qué es una licenciatura?
- ¿Cuánto tiempo dura una Maestría?
- ¿Vale la pena hacer una MBA en línea?
- Siete maneras de pagar la escuela de posgrado
- Ver todos los títulos