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

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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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Self Paced

This course provides a brief review of introductory algebra topics. Topics to be covered include integer operations, order of operations, perimeter and area, fractions and decimals, scientific notation, ratios and rates, conversions, percents, algebraic expressions, linear equations, the Pythagorean theorem, and graphing.

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This tutorial covers several mathematical techniques that are frequently used in complex systems science. The techniques are covered in independent units, taught by different instructors. Each unit has its own prerequisites. Note that this tutorial is meant to introduce students to various important techniques and to provide illustrations of their application in complex systems. A given unit is not meant to offer complete coverage of its topic or substitute for an entire course on that topic.

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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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Animals, Architecture, and Innovation.

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In this course, you will study basic algebraic operations and concepts, as well as the structure and use of algebra. This includes solving algebraic equations, factoring algebraic expressions, working with rational expressions, and graphing linear equations.

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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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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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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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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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In this course you will examine real world problems -- rescue the Apollo 13 astronauts, stop the spread of epidemics, and fight forest fires -- involving differential equations and figure out how to solve them using numerical methods.

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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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Differential equations are, in addition to a topic of study in mathematics, the main language in which the laws and phenomena of science are expressed. In basic terms, a differential equation is an expression that describes how a system changes from one moment of time to another, or from one point in space to another.

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The study of “abstract algebra” grew out of an interest in knowing how attributes of sets of mathematical objects behave when one or more properties we associate with real numbers are restricted.

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