Algebra is the foundation of modern mathematics. In this course we draw from materials by the amazing Salman Khan, of Khan Academy, to show you how to work with variables to write expressions, equations, inequalities, and functions.

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Algebra is the foundation of modern mathematics. In this course we draw from materials by the amazing Salman Khan, of Khan Academy, to show you how to work with variables to write expressions, equations, inequalities, and functions.

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Apr 8th 2014

Teaches, as the antidote to rigor mortis, the art of educated guessing and opportunistic problem solving.

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The course provides an introduction to the mathematical analysis and linear algebra. The course starts with the real numbers and the related one-variable real functions by studying limits, and continuity.

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En este curso se estudian los conceptos básicos sobre Álgebra Lineal. Se explica que es una matriz, los tipos de matrices existentes, las operaciones básicas (suma y multiplicación), las operaciones fila, la permutación de los arreglos matriciales, los sistemas de ecuaciones y otros temas fundamentales que permitirán al estudiante afianzarse en los espacios vectoriales y sus transformaciones lineales.

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En este curso de Álgebra Elemental se trataran las operaciones básicas entre expresiones algebraicas (suma, resta, producto y división), productos y cocientes notables, solución de ecuaciones de una sola incógnita, sistemas de ecuaciones y la descomposición factorial (factorización).

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Mar 17th 2014

The course is an introduction to linear and discrete optimization - an important part of computational mathematics with a wide range of applications in many areas of everyday life.

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This is Free SAT math preparation course with retired math SAT questions and Khan Academy video's.

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Vector spaces, matrices and linear applications.

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This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.

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Feb 3rd 2014

Le cours expose la théorie de Galois, du classique critère de non-résolubilité des équations polynomiales aux méthodes plus avancées de calcul de groupes de Galois par réduction modulo un nombre premier.

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Jan 29th 2014

Learn the theory of linear algebra hand-in-hand with the practice of software library development.

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This course begins your journey into the “Real World Math” series. These courses are intended not just to help you learn basic algebra and geometry topics, but also to show you how these topics are used in everyday life.

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This introductory mathematics course is for you if you have a solid foundation in arithmetic (that is, you know how to perform operations with real numbers, including negative numbers, fractions, and decimals). Numbers and basic arithmetic are used often in everyday life in both simple situations, like estimating how much change you will get when making a purchase in a store, as well as in more complicated ones, like figuring out how much time it would take to pay off a loan under interest.

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Jan 20th 2014

Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory.

8

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Oct 7th 2013

This course covers mathematical topics in algebra and trigonometry and is designed to prepare students to enroll for a first semester course in single variable calculus.

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Linear algebra is the study of vector spaces and linear mappings between them. In this course, we will begin by reviewing topics you learned in Linear Algebra I, starting with linear equations, followed by a review of vectors and matrices in the context of linear equations.

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Numerical analysis is the study of the methods used to solve problems involving continuous variables. It is a highly applied branch of mathematics and computer science, wherein abstract ideas and theories become the quantities describing things we can actually touch and see.

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This course is a continuation of Abstract Algebra I: we will revisit structures like groups, rings, and fields as well as mappings like homomorphisms and isomorphisms.

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Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

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The main purpose of this course is to bridge the gap between introductory mathematics courses in algebra, linear algebra, and calculus on one hand and advanced courses like mathematical analysis and abstract algebra, on the other hand, which typically require students to provide proofs of propositions and theorems.

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