EdX

Aplicaciones de la Teoría de Grafos a la vida real (I) (edX)

Aplicaciones de la Teoría de Grafos a la vida real (I) (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Resolveremos problemas que aparecen en la logística, la robótica, la genética, la sociología, el diseño de redes y el cálculo de rutas óptimas, mediante el uso de la Teoría de Grafos. Nuestro objetivo será presentar tanto los contenidos de la misma como la modelización de los casos planteados.

En cada tema comenzaremos presentando el problema a resolver. Posteriormente introduciremos la teoría y los algoritmos correspondientes, modelizaremos el problema propuesto y finalmente hallaremos su solución. En general explicaremos en qué consiste y cómo se deduce cada algoritmo, haciendo para ello una traza a modo de ejemplo.

Las unidades del curso son:

  • Unidad 1: Conceptos básicos de la Teoría de Grafos
  • Unidad 2: Accesibilidad
  • Unidad 3: Grafos ponderados
  • Unidad 4: Árboles

What you'll learn:

  • Los conceptos básicos de la teoría de grafos
  • Como trabajar los problemas de accesibilidad
  • El uso de los grafos ponderados
  • El uso de árboles
  • Los algoritmos para aplicar todo lo anterior a problemas reales
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introducción a Matemáticas para Finanzas y Negocios (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introducción a Matemáticas para Finanzas y Negocios (edX)

El objetivo del curso es entender como ciertos conceptos matemáticos se utilizan de forma recurrente para analizar problemas financieros y de negocios. En la primera parte del curso se analiza el caso de las funciones lineales donde se introduce el concepto de pendiente para cuantificar la dependencia entre las variables.

Self Paced
Self-Paced
MathTrackX: Special Functions (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Special Functions (edX)

Understand trigonometric, exponential and logarithmic functions and how they can be applied in the real world. This course is part two of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX) EdX
Imperial College London,ImperialX

Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX)

Develop your thinking skills, fluency and confidence in the applied mathematics content of A-level further maths and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain a deeper understanding of the skills and techniques that you can apply throughout your A-level study.

Self Paced
5-12 Weeks
Mathematical understanding of uncertainty (edX) EdX
Seoul National University,SNUx

Mathematical understanding of uncertainty (edX)

This lecture series discusses how the concept of probability can be used to handle, control, and exploit uncertainty in the real-world. It is an undergraduate-level lecture series on probability, but is entirely different from the usual courses on probability theory. The lectures cover the basics of probability theory including the relevant mathematics, but instead of focusing on mathematics, the lectures explain how probability theory can help understand real-world uncertainty using various examples.

Self Paced
Self-Paced
Calculus Applied! (edX) EdX
HarvardX,Harvard University

Calculus Applied! (edX)

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences. In this course, we go beyond the calculus textbook, working with practitioners in social, life and physical sciences to understand how calculus and mathematical models play a role in their work.

Self Paced
Self-Paced
Probability - The Science of Uncertainty and Data (edX) EdX
MIT,MITx

Probability - The Science of Uncertainty and Data (edX)

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Sep 1st 2026
13-24 Weeks
Fundamentos de Álgebra Lineal (edX) EdX
Universidad Anáhuac,AnahuacX

Fundamentos de Álgebra Lineal (edX)

El álgebra lineal son las matemáticas de la era digital; comprende sus bases y prepárate para entrar al nuevo escenario tecnológico. Conoce sus fundamentos y acelera tu formación académica y profesional. Nuestro curso de álgebra lineal te propone acercarte a los fundamentos de esta importante materia para comprender las bases que te permitirán entrar a las aplicaciones más actuales de este tema.

Self Paced
Self-Paced