• Duración:
    9 semanas
  • Dedicación:
    3–5 horas por semana
  • Precio:

    GRATIS
    Agregar un Certificado Verificado por $49 USD

  • Institución
  • Tema:
  • Nivel:
    Intermediate
  • Idioma:
    English
  • Transcripción de video:
    English
  • Tipo de curso:
    Al ritmo del instructor

Prerrequisitos

  • Algebra
  • Calculus

Sobre este curso

Omitir Sobre este curso
Computational thinking is becoming widely recognized as a skill necessary for every educated person in a technologically advanced society. 

We will focus on just a subset of computational thinking which concerns creating models of the physical world – something that engineers frequently need to do.  Because of that choice, this course covers many topics normally viewed as within the domain of mathematics such as algebra and calculus, but the solution procedures are algorithmic rather than symbolic.

The major themes of the course are:
  • Representation -- How do you encode information about the world in a computer?  How do your choices in representation affect the ease with which you can solve problems?
  • Decomposition -- How do you break a large and diverse problem into many simpler parts?
  • Discretization -- How do you break up space and time into a large number of relatively small pieces?  What are the alternative ways of doing this?  What are the consequences of discretization procedures for accuracy and speed?
  • Verification -- How do you build confidence in the results of a model?

Lo que aprenderás

Omitir Lo que aprenderás
By the end of this course, students will be able to:
  • Select and implement methods for interpolation and understand their consequences for convergence of model results as discretization is refined.
  • Carry out a few simple methods for numerical integration
  • Implement procedures for numerical differentiation
  • Write programs to solve systems of equations, both linear and non-linear

Plan de estudios

Omitir Plan de estudios
What is Computational Thinking? (representation, discretization, error, decomposition, verification)

Interpolation (building simple surrogates for more complex functions)

Integration (processes for numerical quadrature)

Randomness (generating and using pseudorandom variables in models)

Differentiation (numerical derivatives)

Solving equations (Gaussian elimination for linear systems, Newton-Raphson for non-linear systems)

Conoce a tus instructores

Daniel Frey
Professor of Mechanical Engineering Department; MIT D-Lab Faculty Research Director
Massachusetts Institute of Technology
Ali Talebinejad
Lecturer of Mechanical Engineering Department
Massachusetts Institute of Technology

Obtén un Certificado Verificado para destacar los conocimientos y las habilidades que adquieras
$49 USD

Ver un modelo de certificado de edX en PDF
  • Oficial y verificado

    Obtén un certificado con la firma del instructor y el logotipo de la institución para demostrar tus logros y aumentar las posibilidades de conseguir trabajo

  • Fácil de compartir

    Agrega el certificado a tu currículum o publícalo directamente en LinkedIn

  • Incentivo comprobado

    El certificado te da un motivo más para completar el curso

  • Apoya nuestra labor

    edX, una organización sin fines de lucro, se sustenta con los certificados verificados para financiar la educación gratuita para todo el mundo

Preguntas frecuentes

Q: Is computational thinking about thinking like a computer does? 
A: No.  It’s about using computers to expand your own thinking.

¿Quién puede hacer este curso?

Lamentablemente, las personas de uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.