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Mathematical Logic and Theory of Computation (saylor.org)

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Mathematical Logic and Theory of Computation (saylor.org)
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Mathematics is about structure, about reasoning, and about modeling. This course braids these three threads together. Mathematical logic began as the study of the reasoning used in mathematics, but it turns out to be useful in describing the mathematical concept of structure and in modeling automated reasoning—that [...]

Introduction to Probability Theory (saylor.org)

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Introduction to Probability Theory (saylor.org)
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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.

Complex Analysis (saylor.org)

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Complex Analysis (saylor.org)
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This course is an introduction to complex analysis, or the theory of the analytic functions of a complex variable. Put differently, complex analysis is the theory of the differentiation and integration of functions that depend on one complex variable.

Real Analysis II (saylor.org)

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Real Analysis II (saylor.org)
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Real Analysis II is the sequel to Saylor’s Real Analysis I, and together these two courses constitute the foundations of real analysis in mathematics. In this course, you will build on key concepts presented in Real Analysis I, particularly the study of the real number system and real-valued functions [...]

Introduction to Partial Differential Equations (saylor.org)

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Introduction to Partial Differential Equations (saylor.org)
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Partial differential equations (PDEs) describe the relationships among the derivatives of an unknown function with respect to different independent variables, such as time and position.

Numerical Analysis (saylor.org)

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Numerical Analysis (saylor.org)
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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.

Linear Algebra II (saylor.org)

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Linear Algebra II (saylor.org)
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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.

Real Analysis I (saylor.org)

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Real Analysis I (saylor.org)
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This course is designed to introduce you to the rigorous examination of the real number system and the foundations of calculus of functions of a single real variable. Analysis lies at the heart of the trinity of higher mathematics – algebra, analysis, and topology – because it is where [...]

Abstract Algebra I (saylor.org)

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Abstract Algebra I (saylor.org)
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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.