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Math C280: Calculus III

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Math C280: Calculus III

Michael Everett · Coastline College

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Differential Calculus for the Life Sciences

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Differential Calculus for the Life Sciences

Leah Edelstein-Keshet · University of British Columbia

Calculus arose as a tool for solving practical scientific problems through the centuries. However, it is often taught as a technical subject with rules and formulas (and occasionally theorems), devoid of its connection to applications. In this course, the applications form an important focal point, with emphasis on life sciences. This places the techniques and concepts into practical context, as well as motivating quantitative approaches to biology taught to undergraduates.

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Math 4A: Multivariable Calculus

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Math 4A: Multivariable Calculus

Kenn Huber · Irvine Valley College

This textbook covers a standard course in multivariable calculus. Studies include the three dimensional space, vectors, space curves, surfaces, multivariable functions, limits, partial derivatives, tangent planes, extrema, double and triple integration, changes of variables, line integrals, surface integrals, and the four major Theorems to connect these topics.

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Math C180: Calculus I (Nguyen)

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Math C180: Calculus I (Nguyen)

Math C180: Calculus I · Son Nguyen

This is the first course in the calculus sequence. It satisfies the requirement for majors in mathematics, science, or engineering. Topics include limits, derivatives of algebraic and transcendental functions, applications of derivatives, indefinite integrals, definite integrals, the Fundamental Theorem of Calculus, and applications of integration.

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MATH 241: Calculus 3

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MATH 241: Calculus 3

Justin Wyss-Gallifent · University of Maryland

An introduction to multivariable calculus, including vectors and vector-valued functions, partial derivatives and applications of partial derivatives (such as tangent planes and Lagrange multipliers), multiple integrals, volume, surface area, and the classical theorems of Green, Stokes and Gauss.

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MATH 2150: Higher Arithmetic

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MATH 2150: Higher Arithmetic

Pamini Thangarajah · Mount Royal University

This course explores elementary number theory, numeration systems, operations on integers and rational numbers, and elementary combinatorics, using both inductive and deductive methods. Emphasis will be placed on the development of clarity and understanding of mathematical processes and ideas, the application of these ideas to problem-solving and the communication of these ideas to other people.

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An Introduction to the Theory of Numbers

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An Introduction to the Theory of Numbers

Leo Moser · University of Alberta

This book, which presupposes familiarity only with the most elementary concepts of arithmetic (divisibility properties, greatest common divisor, etc.), is an expanded version of a series of lectures for graduate students on elementary number theory. Topics include: Compositions and Partitions; Arithmetic Functions; Distribution of Primes; Irrational Numbers; Congruences; Diophantine Equations; Combinatorial Number Theory; and Geometry of Numbers.

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MATH 110: Techniques of Calculus I

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MATH 110: Techniques of Calculus I

Debbie Gaydos · Penn State University, Greater Allegeheny

Page notifications On picture_as_pdf Readability Cite this page An openly licensed applied calculus textbook, covering derivatives, integrals, and an intro to multivariable calculus.

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College Algebra (NWTC)

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College Algebra (NWTC)

Northeast Wisconsin Technical College · College Algebra (NWTC)

This text covers a comprehensive range of algebraic principles, including equations and inequalities, functions, polynomial and rational functions, exponential and logarithmic functions, and systems of equations and inequalities. It provides a solid foundation in algebra.

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Mathematical Reasoning

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Mathematical Reasoning

Pamini Thangarajah · Mount Royal University

Có trong mục lục: 1: Basic Language of Mathematics · 1.0 : Introduction to the Basic Language of Mathematics · 1.E: Basic Language of Mathematics (Exercises)

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LA

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Linear Algebra with Applications

W. Keith Nicholson · University of Calgary

The aim of the textbook is to achieve a balance among computational skills, theory, and applications of linear algebra. It is a relatively advanced introduction to the ideas and techniques of linear algebra targeted for science and engineering students who need to understand not only how to use these methods but also gain insight into why they work. The contents have enough flexibility to present a traditional introduction to the subject, or to allow for a more applied course.

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Business Calculus with Excel

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Business Calculus with Excel

Mike May, S.J. & Anneke Bart · Saint Louis University

This text is intended for a one semester calculus course for business students with the equivalent of a college algebra prerequisite. Rather than being a three-semester engineering calculus course that has been watered down to fit into one semester it is designed for the business students.

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CA

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Combinatorics and Graph Theory

David Guichard · Whitman College

Combinatorics is often described briefly as being about counting, and indeed counting is a large part of combinatorics.Graph theory is concerned with various types of networks, or really models of networks called graphs. These are not the graphs of analytic geometry, but what are often described as "points connected by lines''.

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Differential Equations and Linear Algebra

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Differential Equations and Linear Algebra

Anup Lamichhane · Oho Northern University

In this book, you will learn key techniques for solving differential equations that arise in science and engineering applications. You will also build a strong foundation in linear algebra concepts that support these methods.

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An Inquiry-Based Approach to Abstract Algebra

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An Inquiry-Based Approach to Abstract Algebra

Dana Ernst · Northern Arizona University

Có trong mục lục: 9.03: A.3- Definitions in Mathematics

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Foundations of Computation

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Foundations of Computation

Carol Critchlow & David J. Eck · Hobart and William Smith Colleges

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

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Fundamentals of Matrix Algebra

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Fundamentals of Matrix Algebra

Gregory Hartman · Virginia Military Institute

This text deals with matrix algebra, as opposed to linear algebra. Without arguing semantics, I view matrix algebra as a subset of linear algebra, focused primarily on basic concepts and solution techniques. There is little formal development of theory and abstract concepts are avoided. This is akin to the master carpenter teaching his apprentice how to use a hammer, saw and plane before teaching how to make a cabinet.

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Discrete Math with SageMath

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Discrete Math with SageMath

Hellen Colman · City Colleges of Chicago

This book is intended to provide concise and complete instructions on how to use Sage to solve problems in Discrete Math for a first or second year undergraduate course for math and computer science majors. Our goal is to streamline the learning process with SageMath. This approach helps students focus more on mathematics and reduces the friction of learning how to code. This is a student-created textbook (Open Pedagogy) for more effective alternative in student learning and engagement.

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Corequisite Precalculus

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Corequisite Precalculus

Katherine Skelton · Highline College

This course includes, but not limited to piece-wise, composite, inverse, polynomial, rational, exponential, and logarithmic functions. Also discussed are properties of functions, their relationship to equations and inequalities, as well as applications, and circles.

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MATH 2E: Multivariable Calculus

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MATH 2E: Multivariable Calculus

LibreTexts

The differential and integral calculus of vector-valued functions. Implicit and inverse function theorems. Line and surface integrals, divergence and curl, theorems of Greens, Gauss, and Stokes.

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