I’m building my foundations
Start with a textbook whose opening chapters cover prerequisites and equations before its chapters on algebraic functions.
Start with: College Algebra 2e
RedLectern topic
A guided introduction to algebra, calculus, geometry, linear algebra, statistics, and game theory.
For: Learners at different starting points, including people reviewing foundations and learners pursuing a focused topic.
After this page you can: Choose a suitable learning path, explain key ideas across six mathematical areas, and solve a representative problem in each.
Page reviewed
Mathematics studies patterns, quantities, structures, and relationships through precise definitions and logical reasoning. Its areas include algebra, geometry, calculus, statistics, linear algebra, and game theory. Algebraic functions describe relationships; geometry concerns size, shape, and space; calculus uses limits, derivatives, and integrals; statistics includes inference from data; linear algebra includes matrices and vectors; and game theory models strategic interaction. These areas overlap: functions are part of the study of calculus, matrices can represent systems of equations, and probability and statistics are studied together in introductory courses. This hub offers entry points into each area so you can start with a familiar question and build outward.
Mathematics is studied by moving between explanations, examples, representations, and problems. You can express a relationship in words, as an equation, in a table, or on a graph, then consider which representation helps answer the question. A worked example can show a method; trying a similar problem can help you practice using it. If a step is unclear, return to the definition or prerequisite idea and try a simpler case. The resources here include open textbooks, university courses, and interactive study material; they differ in level and format, so choose one that fits your aim. You do not need to follow every branch in order: review algebra before calculus if useful, or begin with geometry, statistics, or game theory.
Start with a textbook whose opening chapters cover prerequisites and equations before its chapters on algebraic functions.
Start with: College Algebra 2e
Use the free web textbook to revisit functions, limits, derivatives, and integration in a structured sequence.
Start with: Calculus Volume 1
Follow MIT OpenCourseWare’s introductory probability and statistics materials, including its topics in inference and regression.
Start with: Introduction to Probability and Statistics
Algebraic functions represent relationships. OpenStax introduces function notation and how to evaluate a function from a formula.
This section defines a function and shows how to evaluate it from a formula.
Function
A relation in which each possible input value leads to exactly one output value.
Domain
The set of input values for a function or relation.
For f(x) = 2x + 1, find f(2).
Substitute 2 for x: f(2) = 2(2) + 1 = 5.
Calculus includes limits, derivatives, and integrals. Begin with functions and limits, then connect the derivative to instantaneous rate of change.
This section identifies the derivative as instantaneous rate of change and develops its limit definition.
Limit
The value a function approaches as its input approaches a specified value.
For f(x) = x², calculate the average rate of change from x = 1 to x = 3.
The change in output is 9 − 1 = 8 and the change in input is 3 − 1 = 2, so the average rate of change is 8/2 = 4.
Geometry is concerned with size, shape, and space. The Open University course explores angles, shapes, symmetry, area, and volume through interactive activities.
This chapter introduces conic sections, including ellipses, hyperbolas, and parabolas.
Conic
A shape formed by intersecting a plane with a right circular cone.
Name a familiar round plane figure and identify one geometric measurement associated with its boundary.
A circle is a round plane figure; its boundary length is called its circumference.
MIT OpenCourseWare’s linear algebra course covers systems of equations, vector spaces, determinants, and eigenvalues. A matrix can represent a system of equations.
This section shows how matrices and row operations can be used to solve systems of equations.
Matrix
A rectangular arrangement of entries that can represent a system of equations.
Solve the system 2x + y = 5 and x − y = 1.
Adding the equations gives 3x = 6, so x = 2; substituting gives y = 1.
MIT’s introductory course covers probability distributions, inference, confidence intervals, and regression.
This section discusses the mean and median as measures of the center of data.
Median
A value that separates ordered data into two halves.
Find the mean of 2, 4, and 6.
The sum is 12 and there are 3 values, so the mean is 12/3 = 4.
Game theory models strategic interaction. MIT’s syllabus includes strategic-form games, Nash equilibrium, and applications.
The lecture notes introduce simultaneous-move games, Nash equilibrium, and mixed strategies.
Nash equilibrium
A profile of strategies in which each player’s strategy is a best response to the strategies of the others.
In a two-player payoff table, explain what you would check to determine whether a strategy pair is a Nash equilibrium.
Check whether each player’s chosen strategy is a best response to the other player’s choice.
Build fluency with algebraic expressions, equations, functions, graphs, and polynomials.
0 subtopicsCalculusFrom limits and continuity through single-variable and multivariable differentiation and integration.
0 subtopicsGeometryLearn how geometry describes space, shape, measurement, transformation, and structure.
0 subtopicsLinear AlgebraCore ideas and methods for systems of equations, vector spaces, linear transformations, and matrix analysis.
0 subtopicsStatisticsIntroductory statistical reasoning: data, probability, inference, and models.
0 subtopicsGame TheoryLearn how mathematical models describe strategic choices, information, timing, and cooperation.
0 subtopicsNo recent updates are available.
Richard Courant, Herbert Robbins, and Ian Stewart · 1996
Oxford describes its chapters as largely independent, so readers can choose topics and move from basic to more advanced discussions.
Walter Rudin · 1976
MIT’s real analysis course lists the third edition as its textbook and covers topics including convergence, continuity, differentiation, and integration.
Sheldon Axler · 2015
Berkeley lists it as a textbook for Mathematics 110, a course that emphasizes proofs and the connection between abstraction and geometric intuition.
James R. Munkres · 2000
Berkeley’s Math 142 lists the second edition as required and describes topology as important across mathematical branches.
David S. Dummit and Richard M. Foote · 2004
Dartmouth’s abstract algebra syllabus requires the third edition and assigns it across ring theory and Galois theory topics.
Euclid; translated by Thomas L. Heath; edited by Dana Densmore · 2002
The Green Lion Press edition presents Heath’s translation of all thirteen books in one volume.
Listed as Mathematics courses: