E.g., Tuesday, September 1, 2015
E.g., Tuesday, September 1, 2015
E.g., Tuesday, September 1, 2015
Self Paced

This course will introduce you to the fundamentals of probability theory and random processes. The theory of probability was originally developed in the 17th century by two great French mathematicians, Blaise Pascal and Pierre de Fermat, to understand gambling.

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Self Paced

This course will introduce you to business statistics, or the application of statistics in the workplace.Statistics is a course in the methods for gathering, analyzing, and interpreting data.

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Self study

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge.

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Self Paced Course - Start anytime

En este curso de Probabilidad y Estadística estudiamos dos áreas fundamentales del conocimiento: La Probabilidad como una rama de las matemáticas que mide cuantitativamente la posibilidad de que un experimento produzca un determinado resultado, y la Estadística como ciencia formal que estudia la recolección, análisis e interpretación de datos de una muestra.

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To be announced

La probabilidad moderna surge con el objetivo mejorar la estrategia en los juegos de azar. Sin embargo, en la actualidad esta disciplina tiene múltiples aplicaciones, aparece en ciencias, ingeniería y muchas otras materias.

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Jun 24th 2015

This course aims to provide a firm grounding in the foundations of probability and statistics.

10
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Jul 13th 2015

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.

7
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Jun 8th 2015

Il corso copre la matematica di base, permettendo di colmare eventuali lacune e di mettere a punto la preparazione necessaria all'ingresso all'università.
The course covers the fundamentals of Math, thus allowing to fill high school gaps and to optimize students’ knowledge as they start college.


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Apr 28th 2015

This course exposes students to the logic of statistical reasoning and its application in the quantitative social sciences. It is meant as a thorough but accessible introduction to the topics of descriptive statistics, probability theory, and statistical inference with hands-on exercises.

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Apr 27th 2015

Wieso hat uns Jakob Bernoulli das Glücksspiel neu erklärt? Was haben Fische mit Wahrscheinlichkeiten zu tun? Wann sind Drogenfahnder erfolgreich? Wer wissen will, wie man bei solchen Fragen zu guten Antworten gelangt, ist bei diesem MOOC genau richtig.

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Feb 3rd 2015

An introduction to probabilistic models, including random processes and the basic elements of statistical inference.

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Mar 2nd 2015

How should we interpret chance around us? Watch beautiful mathematical ideas emerge in a glorious historical tapestry as we discover key concepts in probability, perhaps as they might first have been unearthed, and illustrate their sway with vibrant applications taken from history and the world around.

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Feb 25th 2015

Introducimos la teoría combinatoria: variaciones, permutaciones, combinaciones, números binomiales…, aprendiendo los contenidos básicos de conteo que podemos aplicar en áreas donde se requiere contar con elementos de conjuntos finitos, como Matemática Discreta y Probabilidad.

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Nov 24th 2014

Ce cours introduit le concept de Probabilité, dont la puissance permet de modéliser d'innombrables situations où le hasard intervient. Il est basé sur le livre de Sylvie Méléard "Aléatoire : introduction à la théorie et au calcul des probabilités" qui résulte lui-même du cours de tronc commun de première année de l'École polytechnique.

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Apr 14th 2014

An introduction to probability, with the aim of developing probabilistic intuition as well as techniques needed to analyze simple random samples.

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Jan 21st 2014

This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance.

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Apr 1st 2013

This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

8
Average: 8 (1 vote)
Self Paced Course - Start anytime

A degree in General Mathematics is designed to equip you with the skills necessary to be a professional problem-solver, as a mathematician is not defined by his or her knowledge of laws and theorems, but by his or her critical thinking and reasoning skills.

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