EdX

Bases Matemáticas: números y terminología (edX)

Bases Matemáticas: números y terminología (edX)

Se repasan los conceptos básicos de conjuntos, la terminología básica y las propiedades fundamentales de los números (reales y complejos). Este curso está concebido como una preparación mínima necesaria para los primeros cursos de ingeniería y otros estudios en los que se imparten matemáticas.

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

En él trabajaremos:

  • El concepto de conjunto y sus operaciones
  • La notación matemática elemental
  • Los diferentes tipos de números: naturales, enteros, racionales, irracionales y reales
  • Finalmente aprenderás los conceptos básicos necesarios sobre números complejos

This course is part of the Bases matemáticas para estudiar ingeniería XSeries Program.

What you'll learn

  • El concepto de conjunto y sus operaciones
  • La notación matemática elemental
  • Los diferentes tipos de números: naturales, enteros, racionales, irracionales y reales
  • Los conceptos básicos necesarios sobre números complejos
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

LAFF – On Programming for Correctness (edX) EdX
University of Texas at Austin,UTAustinX

LAFF – On Programming for Correctness (edX)

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the best case and disaster in the worst. Thus, knowing how to construct correct programs is a skill that all who program computers must strive to master.

Self Paced
Self-Paced
Pre-University Calculus (edX) EdX
Delft University of Technology,DelftX

Pre-University Calculus (edX)

Prepare for Introductory Calculus courses. Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary Mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation and integration.

Self Paced
Self-Paced
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
Bases Matemáticas: Derivadas (edX) EdX
Universitat Politècnica de València,UPValenciaX

Bases Matemáticas: Derivadas (edX)

Curso básico sobre funciones y sus derivadas, incluyendo sus aplicaciones a la resolución de problemas. Este curso se concibe como una revisión de los conceptos básicos del cálculo diferencial, necesarios para los primeros cursos de aquellos estudios universitarior en los que se imparte matemáticas.

Self Paced
Self-Paced
Effective Thinking Through Mathematics (edX) EdX
University of Texas at Austin,UTAustinX

Effective Thinking Through Mathematics (edX)

Learn tools of effective thinking through puzzles and mathematics in this fun and fascinating course. A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of genius, but we should not be fooled into believing that they’re reality.

Self Paced
Self-Paced
Introduction to Family Engagement in Education (edX) EdX
HarvardX,Harvard University

Introduction to Family Engagement in Education (edX)

Learn about successful collaborations between families and educators and why they lead to improved outcomes for students and schools. In this education course, you will learn what family engagement is and why it matters to the success of students and schools. We will explore the research linking family engagement to better educational outcomes and speak directly with researchers, educators, students, and families about promising practices in the field.

Self Paced
Self-Paced
Data for Effective Policy Making (edX) EdX
Inter-American Development Bank - IDB,IDBx

Data for Effective Policy Making (edX)

Take control of data and gain a better understanding of the tools used in public policy planning, management, and evaluation. In this age of information, data is available everywhere and grows at an exponential rate. How can we make sense of all this data? How do we take advantage of data when making decisions? How do we use data to help us guide the management and planning of our policies?

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real (I) (edX) EdX
Universitat Politècnica de València,UPValenciaX

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.

Self Paced
Self-Paced
Observation Theory: Estimating the Unknown (edX) EdX
Delft University of Technology,DelftX

Observation Theory: Estimating the Unknown (edX)

Learn how to estimate parameters from observational data for real-world engineering applications and assess the quality of the results. Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.

Self Paced
Self-Paced