Geometría Analítica Preuniversitaria (Coursera)

Geometría Analítica Preuniversitaria (Coursera)

Líneas rectas, círculos, parábolas, elipses e hipérbolas son figuras geométricas que encontramos en nuestro derredor. Por ejemplo, mucha gente sabe que los planetas en nuestro sistema solar se mueven en órbitas elípticas teniendo al astro rey en un foco de esta figura. Sin embargo, pocos saben que la plaza de San Pedro en el Vaticano está construída sobre elipses donde sus focos se encuentran sobre las fuentes donde mucha gente se toma fotos. Estos son dos ejemplos que muestran la importancia de las figuras geométricas en nuestra vida.

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

Después de este curso podrás reconocer fácilmente una línea recta, una parábola, una elipse, una circunferencia o una hipérbola a partir de una ecuación de segundo grado de dos variables. Además, sabrás manipular estas ecuaciones para escribirlas en su forma canónica y obtener así los elementos geométricos de cada curva. El punto de partida del curso es el concepto de función y sobre todo lo que representan los ceros (raíces) de una función de segundo grado de dos variables.
Un curso de este tipo es fascinante, ya que mientras muchas personas ven símbolos matemáticos, tu podrás ver una figura geométrica al reconocer una ecuación. Es parecido a una película de ciencia ficción de los años noventa, donde se veía gente haciendo sus actividades diarias, pero no eran más que símbolos verdes sobre una pantalla obscura. Solamente los que podían descifrar estos símbolos eran capaces de ver la realidad. Seguramente este curso te permitirá ver al mundo de otra manera.

Syllabus

WEEK 1
Funciones
Al realizar este curso tendrás las siguientes habilidades:-Graficar funciones en una y dos dimensiones.-Destreza en uso de procedimientos del álgebra.-Solución de ecuaciones lineales y de segundo grado.-Reconocer figuras geométricas al inspeccionar una ecuación de segundo grado de dos variables.-Obtener los elementos geométricos de una línea recta, círculo, parábola, elipse o hipérbola.

WEEK 2
Línea recta

WEEK 3
Circunferencia

WEEK 4
La elipse

WEEK 5
La hipérbola

WEEK 6
La parábola

WEEK 7
Rotaciones

WEEK 8
Aplicaciones

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Conceptos y Herramientas para la Física Universitaria (Coursera) Coursera
Tecnológico de Monterrey

Conceptos y Herramientas para la Física Universitaria (Coursera)

Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios. Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional.

Nov 9th 2026
5-12 Weeks
Calculus for Machine Learning and Data Science (Coursera) Coursera
DeepLearning.AI

Calculus for Machine Learning and Data Science (Coursera)

After completing this course, learners will be able to: analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients; approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods; visually interpret differentiation of different types of functions commonly used in machine learning; perform gradient descent in neural networks with different activation and cost functions.

Nov 2nd 2026
3 Weeks
Aléatoire : une introduction aux probabilités - Partie 1 (Coursera) Coursera
École Polytechnique

Aléatoire : une introduction aux probabilités - Partie 1 (Coursera)

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard. Le cours introduit graduellement la notion de variable aléatoire et culmine avec la loi des grands nombres et le théorème de la limite centrale. Les notions mathématiques nécessaires sont introduites au fil du cours et de nombreux exercices corrigés sont proposés.

Nov 2nd 2026
5-12 Weeks
Calculus through Data & Modeling: Limits & Derivatives (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modeling: Limits & Derivatives (Coursera)

This first course on concepts of single variable calculus will introduce the notions of limits of a function to define the derivative of a function. In mathematics, the derivative measures the sensitivity to change of the function. For example, the derivative of the position of a moving object with respect to time is the object's velocity: this measures how quickly the position of the object changes when time advances. This fundamental notion will be applied through the modelling and analysis of data.

Nov 2nd 2026
5-12 Weeks
Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.

Nov 2nd 2026
4 Weeks
Vector Calculus for Engineers (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Vector Calculus for Engineers (Coursera)

Vector Calculus for Engineers covers both basic theory and applications. In the first week we learn about scalar and vector fields, in the second week about differentiating fields, in the third week about multidimensional integration and curvilinear coordinate systems. The fourth week covers line and surface integrals, and the fifth week covers the fundamental theorems of vector calculus, including the gradient theorem, the divergence theorem and Stokes’ theorem. These theorems are needed in core engineering subjects such as Electromagnetism and Fluid Mechanics.

Nov 2nd 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Nov 9th 2026
4 Weeks
Initiation à la théorie des distributions (Coursera) Coursera
École Polytechnique

Initiation à la théorie des distributions (Coursera)

Une fonction discontinue peut-elle être solution d'une équation différentielle? Comment définir rigoureusement la masse de Dirac (une "fonction" d'intégrale un, nulle partout sauf en un point) et ses dérivées? Peut-on définir une notion de "dérivée d'ordre fractionnaire"? Cette initiation aux distributions répond à ces questions - et à bien d'autres.

Nov 2nd 2026
5-12 Weeks
English for Science, Technology, Engineering, and Mathematics (Coursera) Coursera
University of Pennsylvania

English for Science, Technology, Engineering, and Mathematics (Coursera)

Welcome to English for Science, Technology, Engineering, and Mathematics, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. This course is designed for non-native English speakers who are interested in improving their English skills in the sciences. In this course, you will explore some of the most innovative areas of scientific study, while expanding your vocabulary and the language skills needed to share scientific information within your community.

Nov 2nd 2026
5-12 Weeks
Information Theory (Coursera) Coursera
The Chinese University of Hong Kong

Information Theory (Coursera)

At the completion of this course, the student should be able to: demonstrate knowledge and understanding of the fundamentals of information theory; appreciate the notion of fundamental limits in communication systems and more generally all systems; develop deeper understanding of communication systems; apply the concepts of information theory to various disciplines in information science.

Nov 2nd 2026
13-24 Weeks