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MAT 1130: Mathematical Ideas
Andy Jones · Prince George's Community College
This OER was created for MAT 1130 Mathematical Ideas at Prince George’s Community College. It presents core quantitative concepts and supports practical reasoning skills across multiple areas of mathematics. It covers foundational topics such as set theory, formal logic, personal finance, probability, descriptive statistics, voting methods and apportionment. The text includes a collection of review exercises for every chapter, reinforcing key ideas and supporting mastery of course outcomes.
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Math 4A: Multivariable Calculus
Zoya Kravets · Mission College
Math 4A: Multivariable Calculus at Mission College is the third and final part of a three-semester calculus sequence for students in math, physics, and engineering majors. The course covers topics such as: Vector-valued functions, Calculus of functions with more than one variable, Partial derivatives, Differentials, Gradients, Lagrange multipliers, Multiple integration, Line integrals, Surface integrals, Green's Theorem, Stokes' Theorem, and the Divergence theorem.
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Advanced Algebra
Anonymous · LibreTexts
Intermediate Algebra is the second part of a two-part course in Algebra that builds on the basics learned in Elementary Algebra and introduces the more advanced topics required for further study of applications found in most disciplines. Used as a standalone textbook, it offers plenty of review as well as something new to engage the student in each chapter. This textbook introduces functions early and stresses the geometry behind the algebra.
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Mathematical Biology
Jeffrey R. Chasnov · Hong Kong University of Science and Technology
Biology, as is usually taught, requires memorizing a wide selection of facts and remembering them for exams, sometimes forgetting them soon after. For students exposed to biology in secondary school, this text may seem like a different subject. The ability to model problems using mathematics requires almost no rote memorization, but it does require a deep understanding of basic principles and a wide range of mathematical techniques.
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MTH 15: Applied Calculus I
LibreTexts
This calculus course is intended for majors in business and in certain areas of life sciences. The course covers differential calculus of algebraic, exponential, and logarithmic functions, introduction to integral calculus, and applications in business, economics, and the life and social sciences.
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The Laplace and Fourier Transforms on Time Scales
Svetlin G. Georgiev · Sorbonne University, Paris, France
Time scale theory was first initiated by Stefan Hilger in 1988 in his PhD thesis to unify both approaches of dynamic modelling: difference and differential equations. Similar ideas have been used before and go back in the introduction of the Riemann-Stieltjes integral which unifies sums and integrals. Many results to differential equations carry over easily to corresponding results for difference equations, while other results seem to be totally different in nature. Because of these reasons, tim
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Math in Society
David Lippman · Pierce College
This book is a survey of contemporary mathematical topics, most non-algebraic, appropriate for a college-level quantitative literacy topics course for liberal arts majors. The text is designed so that most chapters are independent, allowing the instructor to choose a selection of topics to be covered. Emphasis is placed on the applicability of the mathematics.
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Las matemáticas de la inteligencia artificial
Joaquin López Herraiz · Universidad Complutense de Madrid
El objetivo de este libro es mostrar la conexión existente entre los fundamentos de la inteligencia artificial y los contenidos de asignaturas como Cálculo Multivariable y Cálculo Diferencial de los grados de Física y Matemáticas.
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Mathematical Methods
Pamini Thangarajah · Mount Royal University
Mathematical Methods provides an introduction to vector calculus, ordinary differential equations, and partial differential equations including a variety of applications. Topics include: optimization, line and surface integrals, Green’s theorem, Stokes’ theorem, the Divergence theorem, and the theory of systems of linear differential equations.
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Open Algebra and Knots
Matthew Salomone · Bridgewater State University
The theory of knots has been well studied since the early 20th century, and has many connections to geometry and topology, and applications to physics, biology, and beyond. We’ll investigate perhaps its most fundamental connection: to algebra. In what ways are knots algebraic objects? How can we use algebraic structures and reasoning to classify knots? And how can this help us to think algebraically beyond the classroom?
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CLP-4 Vector Calculus (Feldman, Rechnitzer, and Yeager)
Joel Feldman, Andrew Rechnitzer and Elyse Yeager · University of British Columbia
This textbook covers Vector Calculus. There are chapters on curves, vector fields, surface integrals and integral theorems (such as the divergence theorem).
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Scientific Computing
Peter Staab · Fitchburg State University
Solving problems is the essence of scientific computing. Many problems arise naturally from the sciences or mathematics and often to solve difficult problem relies on some computing resources. In a nutshell, this text is the blend of science, mathematics and computer science needed to solve problems. The intended audience for this text one who is interested in writing computer code that will solve a problem that you have.
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MTH 65: Algebra 2
Math Department · Clackamas Community College
TThis book builds a strong algebra foundation. You’ll review core skills like order of operations, fractions, and linear equations, then expand into polynomials, exponents, roots, and radicals. Finally, you’ll explore absolute value to model distance, tolerance, and precision. These connected skills form a toolkit to solve problems confidently and prepare you for advanced math and real-world applications.
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Matrix Analysis
Steve Cox · Rice University
Equilibria and the solution of linear and linear least squares problems. Dynamical systems and the eigenvalue problem with the Jordan form and Laplace transform via complex integration.
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MATH 1200: Calculus for Scientists I
Pamini Thangarajah · Mount Royal University
This course provides an introduction to calculus with exposure to applications in sciences. The main concepts covered are limits, derivatives, and integrals. Derivatives of transcendental functions are used to solve optimization, linear approximation, and related rates problems. Studying calculus will expose students to a variety of important mathematical ideas and help students develop their critical thinking and problem solving skills.
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NWFSC MGF 1130 Text
Allison Godwin · Northwest Florida State University
MGF 1130: Mathematical Thinking is a general education mathematics course designed to improve practical problem-solving skills and logical reasoning
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Trigonometry
Katherine Yoshiwara · Los Angeles Pierce College
This text covers the content of a standard trigonometry course, beginning with a review of facts from geometry.
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TMCC: Precalculus I and II
OpenStax · LibreTexts
This precalculus textmap is intended for college-level Precalculus students and is a comprehensive book that covers more ground than an instructor could likely cover in a typical one- or two-semester course; but instructors should find, almost without fail, that the topics they wish to include in their syllabus are covered in the text.
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Arithmetic and Algebra
Samar ElHitti, Marianna Bonanome, Holly Carley, Thomas Tradler, & Lin Zhou · CUNY New York City College of Technology & NYC College of Technology
Arithmetic | Algebra provides a customized open-source textbook for the math developmental students at New York City College of Technology. The book consists of short chapters, addressing essential concepts necessary to successfully proceed to credit-level math courses. Each chapter provides several solved examples and one unsolved “Exit Problem”. Each chapter is also supplemented by its own WeBWork online homework assignment.
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MAT 1160: Data & Chance
Andy D. Jones · Prince George's Community College
This textbook supports a semester‑long statistics and probability course for future elementary and middle school teachers. It includes ideas from general education statistics but doesn't emphasize inferential statistics. It focuses on concepts essential for teaching math in the lower grades and covers topics beyond the primary curriculum, including interpreting assessment measures, understanding statistics used in professional practice, and developing informed perspectives about data and chance.