Beginning Algebra Made Useful addresses the needs of learners to make sense …
Beginning Algebra Made Useful addresses the needs of learners to make sense of algebra by quantifying and generalizing everyday occurrences such as commuting to work, buying gas or pizza, and determining the better deal. It requires learners to actively engage with algebraic concepts through physical and thought experiments in ways that help them connect ideas, representations, and contexts, and solve problems that arise in their daily lives. The text helps learners grow their brains and develop growth mindsets as they learn algebra conceptually. Problem sets continue the process, extending work begun in each lesson, applying new understandings to new contexts, and considering ideas that arise more fully in upcoming lessons. Longer assignments that can be used as group projects are included in the text. Group work is encouraged throughout the text; suggestions for orchestrating group work are included.
The text is open access and free for download by students and instructors in .pdf format. In the electronic format, graphics are in full color and there are live html links to resources, software, and applets.
Table of Contents: Chapter 1: Getting Ready to Learn Mathematics Chapter 2: Proportional Reasoning and Linear Functions Chapter 3: Using Linear Functions to Solve Problems Chapter 4: Introduction to Quadratic Functions
This course covers a range of algebraic topics: Setting up and solving …
This course covers a range of algebraic topics: Setting up and solving linear equations, graphing, finding linear relations, solving systems of equations, working with polynomials, factoring, working with rational and radical expressions, solving rational and radical equations, solving quadratic equations, and working with functions. More importantly, this course is intended to provide you with a solid foundation for the rest of your math courses. As such, emphasis will be placed on mathematical reasoning, not just memorizing procedures and formulas. There is enough content in this course to cover both beginning and intermediate college-level algebra.
Calculus Revisited is a series of videos and related resources that covers …
Calculus Revisited is a series of videos and related resources that covers the materials normally found in freshman- and sophomore-level introductory mathematics courses. Complex Variables, Differential Equations, and Linear Algebra is the third course in the series, consisting of 20 Videos, 3 Study Guides, and a set of Supplementary Notes. Students should have mastered the first two courses in the series (Single Variable Calculus and Multivariable Calculus) before taking this course. The series was first released in 1972, but equally valuable today for students who are learning these topics for the first time.
College Algebra is an introductory text for a college algebra survey course. …
College Algebra is an introductory text for a college algebra survey course. The material is presented at a level intended to prepare students for Calculus while also giving them relevant mathematical skills that can be used in other classes. The authors describe their approach as "Functions First," believing introducing functions first will help students understand new concepts more completely. Each section includes homework exercises, and the answers to most computational questions are included in the text (discussion questions are open-ended).
Table of Contents 1 Relations and Functions 2 Linear and Quadratic Functions 3 Polynomial Functions 4 Rational Functions 5 Further Topics in Functions 6 Exponential and Logarithmic Functions 7 Hooked on Conics 8 Systems of Equations and Matrices 9 Sequences and the Binomial Theorem
This course covers relations and functions, specifically, linear, polynomial, exponential, logarithmic, and …
This course covers relations and functions, specifically, linear, polynomial, exponential, logarithmic, and rational functions. Additionally, sections on conics, systems of equations and matrices and sequences are also available.
It is often said that mathematics is the language of science. If …
It is often said that mathematics is the language of science. If this is true, then the language of mathematics is numbers. The earliest use of numbers occurred 100 centuries ago in the Middle East to count, or enumerate items. Farmers, cattlemen, and tradesmen used tokens, stones, or markers to signify a single quantitya sheaf of grain, a head of livestock, or a fixed length of cloth, for example. Doing so made commerce possible, leading to improved communications and the spread of civilization.
College Algebra is an introductory text for a college algebra survey course. …
College Algebra is an introductory text for a college algebra survey course. The material is presented at a level intended to prepare students for Calculus while also giving them relevant mathematical skills that can be used in other classes. The authors describe their approach as "Functions First," believing introducing functions first will help students understand new concepts more completely. Each section includes homework exercises, and the answers to most computational questions are included in the text (discussion questions are open-ended).
College Algebra provides a comprehensive exploration of algebraic principles and meets scope …
College Algebra provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra course. The modular approach and richness of content ensure that the book meets the needs of a variety of courses. College Algebra offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they’ve learned.
College Algebra provides a comprehensive and multi-layered exploration of algebraic principles. The …
College Algebra provides a comprehensive and multi-layered exploration of algebraic principles. The text is suitable for a typical introductory Algebra course, and was developed to be used flexibly. The modular approach and the richness of content ensures that the book meets the needs of a variety of programs.College Algebraguides and supports students with differing levels of preparation and experience with mathematics. Ideas are presented as clearly as possible, and progress to more complex understandings with considerable reinforcement along the way. A wealth of examples – usually several dozen per chapter – offer detailed, conceptual explanations, in order to build in students a strong, cumulative foundation in the material before asking them to apply what they've learned.
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Table of Contents 1 Prerequisites 2 Equations and Inequalities 3 Functions 4 Linear Functions 5 Polynomial and Rational Functions 6 Exponential and Logarithmic Functions 7 Systems of Equations and Inequalities 8 Analytic Geometry 9 Sequences, Probability, and Counting Theory
Table of Contents: Chapter 1 Prerequisites Introduction to Chapter 1 Prerequisites 1.1 …
Table of Contents:
Chapter 1 Prerequisites Introduction to Chapter 1 Prerequisites 1.1 Real Numbers: Algebra Essentials 1.2 Exponents and Scientific Notation 1.3 Radicals and Rational Exponents 1.4 Polynomials 1.5 Factoring Polynomials 1.6 Rational Expressions Chapter 1 Review Exercises Chapter 1 Practice Test
Chapter 2 Equations and Inequalities Introduction to Chapter 2 Equations and Inequalities 2.1 Linear Equations in One Variable 2.2 Models and Applications 2.3 Complex Numbers 2.4 Quadratic Equations 2.5 Other Types of Equations 2.6 Linear Inequalities and Absolute Value Inequalities Chapter 2 Review Exercises Chapter 2 Practice Test
Chapter 3 Functions Introduction to Chapter 3 Functions 3.1 The Rectangular Coordinate Systems and Graphs 3.2 Functions and Function Notation 3.3 Domain and Range 3.4 Rates of Change and Behavior of Graphs 3.5 Composition of Functions 3.6 Transformation of Functions 3.7 Absolute Value Functions 3.8 Inverse Functions Chapter 3 Review Exercises Chapter 3 Practice Test
Chapter 4 Linear Functions Introduction to Chapter 4 Linear Functions 4.1 Linear Equations in Two Variables 4.2 Linear Functions 4.3 Modeling with Linear Functions 4.4 Systems of Linear Equations: Two Variables Chapter 4 Review Exercises Chapter 4 Practice Test
Chapter 5 Polynomial and Rational Functions Introduction to Chapter 5 Polynomial and Rational Functions 5.1 Quadratic Functions 5.2 Power Functions and Polynomial Functions 5.3 Graphs of Polynomial Functions 5.4 Dividing Polynomials 5.5 Zeros of Polynomial Functions 5.6 Rational Functions Chapter 5 Review Exercises Chapter 5 Practice Test
Chapter 6 Exponential and Logarithmic Functions Introduction to Chapter 6 Exponential and Logarithmic Functions 6.1 Exponential Functions 6.2 Graphs of Exponential Functions 6.3 Logarithmic Functions 6.4 Graphs of Logarithmic Functions 6.5 Logarithmic Properties 6.6 Exponential and Logarithmic Equations 6.7 Exponential and Logarithmic Models Chapter 6 Review Exercises Chapter 6 Practice Test
This textbook was created through Connecting the Pipeline: Libraries, OER, and Dual Enrollment from Secondary to Postsecondary, a $1.3 million project funded by LOUIS: The Louisiana Library Network and the Institute of Library and Museum Services. This project supports the extension of access to high-quality post-secondary opportunities to high school students across Louisiana and beyond by creating materials that can be adopted for dual enrollment environments. Dual enrollment is the opportunity for a student to be enrolled in high school and college at the same time.
The cohort-developed OER course materials are released under a license that permits their free use, reuse, modification and sharing with others. This includes a corresponding course available in Moodle and Canvas that can be imported to other platforms.
This course is designed to take the concepts you learn in developmental …
This course is designed to take the concepts you learn in developmental math to expand your knowledge of algebra. This course will focus on two major algebraic concepts to learn - how to SOLVE equations and how to GRAPH equations. Throughout this course you will be challenged to recall ALL of your prior knowledge of operations of real numbers as well as your knowledge related to solving and graphing linear equations (which you should have already mastered from developmental algebra). You will use this prior knowledge to expand on learning the following objectives: solving linear & rational equations. operations of complex numbers, solving quadratic equations, solving radical & polynomial equations, solving equations with rational exponents, solving linear and compound inequalities, solving absolute value equations and inequalities, graphing linear equations & slope, understanding concepts of domain, range and function notation, finding compositions of functions, finding inverses of functions, solving and graphing exponential and logarithmic equations, solving and graphing systems of equations and inequalities, and graphing conics.
*Open Campus courses are non-credit tutorials and cannot, in and of themselves, be used to satisfy degree requirements at Bossier Parish Community College (BPCC). (College Algebra Course by Bossier Parish Community College is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Based on a work at http://bpcc.edu/opencampus/index.html.)
This College Algebra text will cover a combination of classical algebra and …
This College Algebra text will cover a combination of classical algebra and analytic geometry, with an introduction to the transcendental exponential and logarithmic functions. If mathematics is the language of science, then algebra is the grammar of that language. Like grammar, algebra provides a structure to mathematical notation, in addition to its uses in problem solving and its ability to change the appearance of an expression without changing the value.
In this course students will learn about Noetherian rings and modules, Hilbert …
In this course students will learn about Noetherian rings and modules, Hilbert basis theorem, Cayley-Hamilton theorem, integral dependence, Noether normalization, the Nullstellensatz, localization, primary decomposition, DVRs, filtrations, length, Artin rings, Hilbert polynomials, tensor products, and dimension theory.
All of the mathematics required beyond basic calculus is developed “from scratch.” …
All of the mathematics required beyond basic calculus is developed “from scratch.” Moreover, the book generally alternates between “theory” and “applications”: one or two chapters on a particular set of purely mathematical concepts are followed by one or two chapters on algorithms and applications; the mathematics provides the theoretical underpinnings for the applications, while the applications both motivate and illustrate the mathematics. Of course, this dichotomy between theory and applications is not perfectly maintained: the chapters that focus mainly on applications include the development of some of the mathematics that is specific to a particular application, and very occasionally, some of the chapters that focus mainly on mathematics include a discussion of related algorithmic ideas as well.
The mathematical material covered includes the basics of number theory (including unique factorization, congruences, the distribution of primes, and quadratic reciprocity) and of abstract algebra (including groups, rings, fields, and vector spaces). It also includes an introduction to discrete probability theory—this material is needed to properly treat the topics of probabilistic algorithms and cryptographic applications. The treatment of all these topics is more or less standard, except that the text only deals with commutative structures (i.e., abelian groups and commutative rings with unity) — this is all that is really needed for the purposes of this text, and the theory of these structures is much simpler and more transparent than that of more general, non-commutative structures.
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Table of Contents 1 Basic properties of the integers 2 Congruences 3 Computing with large integers 4 Euclid's algorithm 5 The distribution of primes 6 Abelian groups 7 Rings 8 Finite and discrete probability distributions 9 Probabilistic algorithms 10 Probabilistic primality testing 11 Finding generators and discrete logarithms in Z∗p 12 Quadratic reciprocity and computing modular square roots 13 Modules and vector spaces 14 Matrices 15 Subexponential-time discrete logarithms and factoring 16 More rings 17 Polynomial arithmetic and applications 18 Finite Fields 19 Linearly generated sequences and applications 20 Algorithms for finite fields 21 Deterministic primality testing
This course focuses on linear ordinary differential equations (or ODEs) and will …
This course focuses on linear ordinary differential equations (or ODEs) and will introduce several other subclasses and their respective properties. Despite centuries of study, numerical approximation is the only practical approach to the solution of complicated ODEs that has emerged; this course will introduce you to the fundamentals behind numerical solutions. Upon successful completion of this course, students will be able to: Identify ordinary differential equations and their respective orders; Explain and demonstrate how differential equations are used to model certain situations; Solve first order differential equations as well as initial value problems; Solve linear differential equations with constant coefficients; Use power series to find solutions of linear differential equations, Solve linear systems of differential equations with constant coefficients; Use the Laplace transform to solve initial value problems; Use select methods of numerical approximation to find solutions to differential equations. (Mathematics 221; See also: Mechanical Engineering 003)
" Double affine Hecke algebras (DAHA), also called Cherednik algebras, and their …
" Double affine Hecke algebras (DAHA), also called Cherednik algebras, and their representations appear in many contexts: integrable systems (Calogero-Moser and Ruijsenaars models), algebraic geometry (Hilbert schemes), orthogonal polynomials, Lie theory, quantum groups, etc. In this course we will review the basic theory of DAHA and their representations, emphasizing their connections with other subjects and open problems."
This is an algebra-based introductory course for electricity physics. It is intended …
This is an algebra-based introductory course for electricity physics. It is intended to be a comprehensive introductory course in all electricity aspects, such as Ohm's Law, AC and DC Circuits, etc.
Elementary Algebra is a work text that covers the traditional topics studied …
Elementary Algebra is a work text that covers the traditional topics studied in a modern elementary algebra course. Use of this book will help the student develop the insight and intuition necessary to master algebraic techniques and manipulative skills.Elementary Algebra is a work text that covers the traditional topics studied in a modern elementary algebra course. It is intended for students who (1) have no exposure to elementary algebra, (2) have previously had an unpleasant experience with elementary algebra, or (3) need to review algebraic concepts and techniques.
Table of Contents 1 Arithmetic Review 2 Basic Properties of Real Numbers 3 Basic Operations with Real Numbers 4 Algebraic Expressions and Equations 5 Solving Linear Equations and Inequalities 6 Factoring Polynomials 7 Graphing Linear Equations and Inequalities in One and Two Variables 8 Rational Expressions 9 Roots, Radicals, and Square Root Equations 10 Quadratic Equations 11 Systems of Linear Equations 12 Appendix
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