A continuación se presenta una lista de algunos de los más útiles cursos de matemática y pedagogía gratuitos, impartidos por algunas de las mejores universidades del mundo latinoamericano, en las plataformas Coursera y Edx.
Cursos en Español
Universidad Autónoma de Barcelona (UAB) - España
Universidad Politécnica de Valencia (UPV) - España
- Bases Matemáticas: Álgebra
- Bases Matemáticas: Números y terminología
- Bases Matemáticas: Derivadas
- Bases Matemáticas: Integrales
- Métodos numéricos para matemáticas con Octave
Universidad Nacional Autónoma de México (UNAM) - España
- Álgebra Básica
- Matemáticas Financieras
- Trigonometría y Geometría Analítica
- Funciones algebraicas y trascendentes
- Estadística y probabilidad
- Estadística y probabilidad: principios de Inferencia
- Especialización en Evaluación educativa
- Evaluación auténtica
- Cómo hacer una tesis
- Aprender
- IA generativa en el aula
- Educación Basada en Evidencias
- Evaluación auténtica
- Innovar tu enseñanza con design thinking
Tecnológico de Monterrey (ITESM) - México
- Cálculo 1 - Modelo Lineal
- Cálculo 2 - Modelo Cuadrático
- Cálculo 3 - Modelo Cúbico
- Cálculo 4 - Otros Modelos
- Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo
- Conceptos y Herramientas para la Física Universitaria
- Física: Dimensión y Movimiento
- Física: Vectores, Trabajo y Energía
- Fundamentos de Escritura Académica
Universidad Autónoma Metropolitana (UAM) - México
Universidad de los Andes - Colombia
- Tesoros de la Física y sus Descubridores I
- Fundamentos de probabilidad y aplicaciones
- Contenido de las matemáticas de primaria
- Enseñanza de las matemáticas de primaria
- Aprendizaje de las matemáticas de primaria
- Educación matemática para profesores de infantil Parte 1
- Educación matemática para profesores de infantil Parte 2
Universidad del Rosario - Colombia
- Probabilidad y estadística
- Matemáticas para la U
- Elementos matemáticos para el pensamiento crítico
- Fundamentos de álgebra lineal
- Bioestadística
- Métodos de investigación cuantitativos
Pontificia Universidad Católica de Chile
- Hacia una práctica constructivista en el aula
- Formación docente basada en la práctica para desarrollar habilidades del siglo XXI
- Niños y Adolescentes en la cultura audiovisual y digital
Universidad de Galileo - Guatemala
- Revisión de Aritmética
- Introducción al Lenguaje Algebraico
- Modelos Matemáticos Simples: Ecuaciones y Desigualdades
- Introducción a las ecuaciones diferenciales
- Cálculo Diferencial
Universidad de Stanford - EEUU
Universidad de Colorado - EEUU
- Aprendizaje Activo STEM con Simulaciones Interactivas PhET Specialization
- Introducción a las Simulaciones PhET para la Educación STEM
- Clase Entera con PhET para la Educación STEM
- Diseño de Actividades con PhET para la Educación STEM
- Implementación de Actividades PhET para la Educación STEM
Cursos en Inglés
Commonwealth Education Trust - England
- Foundations of Teaching for Learning: Introduction
- Foundations of Teaching for Learning: Being a Professional
- Foundations of Teaching for Learning: Developing Relationships
- Foundations of Teaching for Learning: Being a Teacher
- Foundations of Teaching for Learning: Learners and Learning
- Foundations of Teaching for Learning: Introduction to Student Assessment
- Foundations of Teaching for Learning: Curriculum
- Foundations of Teaching for Learning: Planning for Teaching and Learning
- Foundations of Teaching for Learning Capstone: The Reflective Practitioner
University of London - England
- Mathematics for Computer Science
- What future for education?
- Get Interactive: Practical Teaching with Technology
University of Glasgow - England
Imperial College - England
- Mathematics for Machine Learning Specialization
- Mathematics for Machine Learning: Linear Algebra
- Mathematics for Machine Learning: Multivariate Calculus
- Mathematics for Machine Learning: PCA
Stanford University - EEUU
- Game Theory
- Game Theory II: Advanced Applications
- Introduction to Mathematical Thinking
- Probabilistic Graphical Models Specialization
- Probabilistic Graphical Models 1: Representation
- Probabilistic Graphical Models 2: Inference
- Probabilistic Graphical Models 3: Learning
- Understanding Einstein: The Special Theory of Relativity
- Writing in the Sciences
- Introduction to Logic
- Introduction to Statistics
- Cryptography I
Duke University - EEUU
- Data Science Math Skills
- Introduction to Logic and Critical Thinking Specialization
- Think Again I: How to Understand Arguments
- Think Again II: How to Reason Deductively
- Think Again III: How to Reason Inductively
- Think Again IV: How to Avoid Fallacies
- Linear Regression and Modeling
- Human Factors in AI
- Introduction to Probability and Data with R
- Bayesian Statistics
- Inferential Statistics
University of Colorado - EEUU
- Active Learning in STEM with PhET Interactive Simulations Specialization
- Introduction to PhET Simulations for STEM Education
- Whole Class with PhET for STEM Education
- Activity Design with PhET Simulations for STEM Education
- Implementation of PhET Activities for STEM Education
- Everyday Excel Specialization
- Everyday Excel, Part 1
- Everyday Excel, Part 2
- Everyday Excel, Part 3 (Projects)
- Introduction to Robotics with Webots Specialization
- The Teacher and Social and Emotional Learning (SEL) Specialization
- The Teacher’s Social and Emotional Learning
- SEL for Students: A Path to Social Emotional Well-Being
- Expanding SEL
- Teacher SEL: Programs, Possibilities, and Contexts
- SEL Capstone
- Essential Linear Algebra for Data Science
- Probability Theory: Foundation for Data Science
- Transforming Communities
- Statistical Inference for Estimation in Data Science
- Integral Calculus and Numerical Analysis for Data Science
- Statistical Inference and Hypothesis Testing in Data Science Applications
- Excel/VBA for Creative Problem Solving, Part 1
- Excel/VBA for Creative Problem Solving, Part 2
- Excel/VBA for Creative Problem Solving, Part 3 (Projects)
- AI for Course Design
- Modern Regression Analysis in R
- Methods for Solving Problems
Jhon Hopkins University - EEUU
- Advanced Statistics for Data Science Specialization
- Mathematical Biostatistics Boot Camp 1
- Mathematical Biostatistics Boot Camp 2
- Advanced Linear Models for Data Science 1: Least Squares
- Advanced Linear Models for Data Science 2: Statistical Linear Models
- Algebra: Elementary to Advanced Specialization
- Algebra: Elementary to Advanced - Equations & Inequalities
- Algebra: Elementary to Advanced - Functions & Applications
- Algebra: Elementary to Advanced - Polynomials and Roots
- Data Science: Foundations using R Specialization
- Data Visualization & Dashboarding with R Specialization
- Differential Calculus through Data and Modeling Specialization
- Precalculus through Data and Modelling Specialization
- Precalculus: Relations and Functions
- Precalculus: Periodic Functions
- Precalculus: Mathematical Modeling
- Calculus through Data & Modeling: Precalculus Review
- Calculus through Data & Modeling: Limits & Derivatives
- Calculus through Data & Modeling: Differentiation Rules
- Calculus through Data & Modeling: Applying Differentiation
- Integral Calculus through Data and Modeling Specialization
- Calculus through Data & Modelling: Series and Integration
- Calculus through Data & Modelling: Techniques of Integration
- Calculus through Data & Modelling: Integration Applications
- Calculus through Data & Modelling: Vector Calculus
- Linear Algebra from Elementary to Advanced Specialization
- Linear Algebra: Linear Systems and Matrix Equations
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
- Linear Algebra: Orthogonality and Diagonalization
- Statistical Inference
- The Mathematics of Democracy, Politics and Manipulation
- The R Programming Environment
- Regression Models
- Excellence in Online Teaching
University of North Texas - EEUU
University of Michigan - EEUU
- Leading for Equity, Diversity and Inclusion in Higher Education
- An Introduction to Learning Experience Design (LXD) Specialization
Vanderbilt University - EEUU
University of Illinois at Urbana-Campaign - EEUU
- Learning Technologies Foundations and Applications
- Constructivism and Mathematics, Science, and Technology Education
- Instructional Design Foundations and Applications
- Learning Technologies Foundations and Applications
- e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
University of Pennsylvania - EEUU
- Orchestrating Whole Classroom Discussion
- Single Variable Calculus
- Calculus: Single Variable Part 1 - Functions
- Calculus: Single Variable Part 2 - Differentiation
- Calculus: Single Variable Part 3 - Integration
- Calculus: Single Variable Part 4 - Applications
University of Houston - EEUU
- Powerful Tools for Teaching and Learning: Digital Storytelling
- Powerful Tools for Teaching and Learning: Web 2.0 Tools
University of San Diego - EEUU
- Introduction to Discrete Mathematics for Computer Science Specialization
- Mathematical Thinking in Computer Science
- Combinatorics and Probability
- Introduction to Graph Theory
- Number Theory and Cryptography
- Delivery Problem
University of Virginia - EEUU
University of Sydney - Australia
- Introduction to Calculus
- Introduction to Linear Algebra
- Academic Skills for University Success Specialization
- Information & Digital Literacy for University Success
- Problem-Solving Skills for University Success
- Critical Thinking Skills for University Success
- Communication Skills for University Success
- Academic Skills for University Success: Capstone
University of New South Wales - Australia
Macquarie University - Australia
- Online Learning Design for Educators Specialization
- Online education: The foundations of online teaching
The Hong Kong University of Science and Technology - China
- Mathematics for Engineers Specialization
- Matrix Algebra for Engineers
- Differential Equations for Engineers
- Vector Calculus for Engineers
- Numerical Methods for Engineers
- Mathematics for Engineers: The Capstone Course
- Fibonacci Numbers and the Golden Ratio
- Mastering Statics
- Python and Statistics for Financial Analysis
- Understanding Modern Physics I: Relativity and Cosmology
- Understanding Modern Physics II: Quantum Mechanics and Atoms
- Understanding Modern Physics III: Simplicity and Complexity
