EdX

Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX)

Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX)

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Le cours propose une approche très détaillée et précise des notions fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles.

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

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Il est articulé autour de 9 chapitres:

  1. L'angle et sa mesure
  2. Les fonctions trigonométriques sinus et cosinus et leurs inverses
  3. Les fonctions trigonométriques tangente et cotengente et leurs inverses
  4. Les formules trigonométriques (addition, bissection, etc)
  5. Les oscillations harmoniques
  6. Les équations trigonométriques
  7. Les relations dans le triangle (théorème du sinus, du cosinus)
  8. Continuité et dérivabilité des fonctions trigonométriques
  9. Les fonctions logarithmiques et exponentielles

La présentation des concepts et des propositions est soutenue par une grande gamme de figures et d'animations, ainsi que par des exemples qui illustrent la mise en oeuvre des connaissances acquises.

What you'll learn

  • Connaître les fonctions trigonométrqiues, trigonométriques inverses, logarithmiques et exponentielles.
  • Utiliser les formules trigonométriques, logarithmiques et exponentielles dans des situations multiples.
  • Intégrer et utiliser les outils de l'analyse (symétries, continuité, dérivée) dans ce contexte.
  • Appliquer les connaissances acquieses au calcul de triangles, à l'étude des mouvements harmoniques etc.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

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
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
Calculus II: Multivariable Functions (edX) EdX
Delft University of Technology,DelftX

Calculus II: Multivariable Functions (edX)

This course provides an overview of bachelor-level calculus of multivariable functions (Calculus II). You will review many basic concepts related to differentiation and integration of multivariable functions. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

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
MathTrackX: Probability (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Probability (edX)

Understand probability and how it manifests in the world around us. This course introduces probability and how it manifests in the world around us. Beginning with discrete random variables, together with their uses in modelling random processes involving chance and variation, you will start to uncover the framework for statistical inference.

Self Paced
Self-Paced
Introducción a las ecuaciones diferenciales (edX) EdX
Galileo University,GalileoX

Introducción a las ecuaciones diferenciales (edX)

Aprende el lenguaje de las ecuaciones diferenciales ordinarias y su aplicación en la modelación de muchos de los fenómenos que nos rodean. Este curso en línea se centra en el estudio de las ecuaciones diferenciales ordinarias (EDOs) de primer orden y consta de una introducción a la terminología y teoría, haciendo especial énfasis en la solución analítica de las mismas, sus propiedades y su aplicación en el modelado y resolución de problemas en física e ingeniería, entre otros.

Self Paced
Self-Paced
MathTrackX: Integral Calculus (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Integral Calculus (edX)

Discover concepts and techniques relating to integration and how they can be applied to solve real world problems. This course is part four 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 II: Matrix Algebra (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra II: Matrix Algebra (edX)

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Your ability to apply the concepts that we introduced in our previous course is enhanced when you can perform algebraic operations with matrices. At the start of this class, you will see how we can apply the Invertible Matrix Theorem to describe how a square matrix might be used to solve linear equations.

Self Paced
Self-Paced