Free Online
Math Courses
| Media | Course | Start Date | Professor | School | Show More | |
|---|---|---|---|---|---|---|
| video 65 | A mathematical Way to Think About Biology | N/A | Dr. David Liao | UDemy | ||
| Students in this course will take a look at physical science perspectives and how they tie into math, deriving equations, and graphical illustrations. | ||||||
| audio 24 | A Practical Introduction to Probability and Statistics | N/A | Yoav Freund | University of California, San Diego | ||
| Students in this class will be introduced to both probability and statistics and their uses. | ||||||
| full-course 122 | Abstract Algebra | N/A | Benedict Gross | Harvard Extension School | ||
| Abstract Algebra makes it easy to study the language of modern mechanics, with group actions, vector spaces, linear algebra, and the theory of fields. | ||||||
| mixed 4 | Abstract Algebra I | N/A | Saylor | |||
| This course studies abstract algebra in basic set theory, integers, and functions, among other related aspects. | ||||||
| mixed 150 | Accounting: Accounting 101 | N/A | SmallBizU | |||
| Students will be introduced to the key concepts and core curriculum of accounting. | ||||||
| mixed 6 | Accounting: Creating a profit & loss statement | N/A | Kutztown University Small Business Development Center | |||
| This course teaches students how to calculate their assets and liabilities into a profit & loss statement. | ||||||
| mixed 9 | Accounting: Preparing a balance sheet | N/A | Kutztown University Small Business Development Center | |||
| Students in this class will learn how to prepare, compose, and manage a balance sheet. | ||||||
| mixed 7 | Accounting: Preparing a cash budget | N/A | Kutztown University Small Business Development Center | |||
| This course instructs students on how prepare, organize, and manage a cash budget. | ||||||
| mixed 1 | ACT Math Exam | N/A | Math Planet | |||
| Suitable for high school students preparing for the ACT Exam, this course provides sixty sample questions in areas of English, math, reading, and science comparable to problems found on the test itself. | ||||||
| full-course 5 | Advanced Abstract Algebra | N/A | Dr. Kanchan Joshi & Dr. R.K. Sharma | Indian Institute of Technology Delhi & University of Delhi | ||
| This course covers a variety of topics related to abstract algebra, including notherian and artinian modules and Hilbert's basis theorem. | ||||||
| mixed 1 | Advanced Algebraic Concepts and Applications in Mathematics | N/A | Math Planet | |||
| Constructed for students with an advanced understanding of algebra, this course will help them brush up on linear equations, inequalities, graphs, matrices, radicals, functions, and other complex mathematical concepts. | ||||||
| full-course 18 | Advanced Analytic Methods in Science and Engineering | Fall 2004 | Hung Cheng | Massachusetts Institute of Technology | ||
| This course provides a comprehensive look at advanced methods of applied mathematics. | ||||||
| full-course 38 | Advanced Calculus for Engineers | Fall 2004 | Dionisios Margetis, John W. M. Bush | Massachusetts Institute of Technology | ||
| This course explains complex variable functions and calculus of residues. | ||||||
| full-course 1 | Advanced Complexity Theory | Fall 2001 | Daniel Spielman | Massachusetts Institute of Technology | ||
| This is a theory-based class that explores topics in complexity theory. | ||||||
| mixed 1 | Advanced Mathematics 1 | N/A | XSIQ | |||
| This course, intended for students who already have a solid foundation of basic math, delves into topics such as complex equations, polynomials, trigonometry, and vectors. | ||||||
| mixed 1 | Advanced Mathematics 2 | N/A | XSIQ | |||
| This secondary installment of advanced math courses covers topics such as differential equations, vectors, and kinematics. | ||||||
| video 1 | Advanced Matrix Theory and Linear Algebra for Engineers | N/A | Vittal Rao | Indian Institute of Science Bangalore | ||
| This course covers advanced topics in linear algebra and the matrix theory. | ||||||
| mixed 1 | Advanced Physics 1 | N/A | XSIQ | |||
| Best when taken alongside a regular physics course, this online course explores advanced physics topics such as electronics, magnets, and transformers. | ||||||
| mixed 1 | Advanced Physics 2 | N/A | XSIQ | |||
| This advanced course in physics covers topics such as motion, electric fields, spectra, Newton's laws, and light. | ||||||
| video 46 | Advanced Placement Calculus AB | N/A | Monterey Institute for Technology and Education | |||
| This course features 46 lessons, each comprised of an interactive video explaining the various areas and concepts of calculus. | ||||||
| video 68 | Advanced Placement Calculus BC | N/A | Monterey Institute for Technology and Education | |||
| This course features 68 interactive video lessons that expand on those given in Calculus AB, explaining further concepts of calculus. | ||||||
| video 26 | Against All Odds: Inside Statistics | N/A | Learner.org | |||
| Learn by video how to solve everyday puzzles and make informed decisions utilizing statistics and its methods. | ||||||
| full-course 10 | Algebra | Spring 2013 | Sarah Eichhorn and Rachel Cohen Lehman | UC Irvine | ||
| Take this course, and you'll get a solid foundation in algebra, with a look at the various functions important to the study of calculus. | ||||||
| video 96 | Algebra | Spring 2012 | The Khan Academy | |||
| This algebra course offers a history of algebra and covers Descartes and Cartesian coordinates, variable expressions and equations, line graphing, and slope and y-intercept intuition. | ||||||
| mixed 8 | Algebra | N/A | Saylor | |||
| Considered a course in Real World math, this algebra course is designed for students with a solid arithmetic foundation. | ||||||
| mixed 1 | Algebra - Functions, Expressions and Equations | N/A | Math Planet | |||
| This algebra course, comprised of video lessons, theories, and real-life examples, explores mathematical topics such as systems of equations, inequalities, exponents, and polynomials. | ||||||
| mixed 1 | Algebra for Calculus (Prof. Otto) | Spring 2012 | Dr. Carolyn Otto | University of Wisconsin-Eau Claire | ||
| This course explores various concepts, techniques, and applications in algebra, including expressions, equations, complex numbers, inequalities, absolute value, functions and graphs, functions, systems, and zeros of polynomials. | ||||||
| mixed 1 | Algebra for Calculus (Prof. Penkava) | Fall 2011 | Dr. Michael Penkava | University of Wisconsin-Eau Claire | ||
| This course explores various concepts, techniques, and applications in algebra, including expressions, equations, complex numbers, inequalities, absolute value, functions and graphs, functions, systems, and zeros of polynomials. | ||||||
| full-course 38 | Algebra I | Fall 2010 | Michael Artin | Massachusetts Institute of Technology | ||
| Topics covered in this undergraduate-level course include groups, vector spaces, linear transformations, symmetry groups, bilinear forms, and linear groups. | ||||||
| full-course 39 | Algebra II | Spring 2011 | Michael Artin | Massachusetts Institute of Technology | ||
| Intended to follow Algebra I, topics covered in this undergrad course include group representations, rings, ideals, fields, polynomial rings, modules, factorization, integers in quadratic number fields, field extensions, and Galois theory. | ||||||
| full-course 1 | Algebra II | N/A | Jugal K. Verma | Indian Institute of Technology Bombay | ||
| Students in this course will learn the rules and theories of advanced algebra. | ||||||
| mixed 1 | Algebra in Mathematics | N/A | XSIQ | |||
| In this basic algebra course, students will learn the foundations of basic operations, algebraic fractions, and quadratic equations. | ||||||
| mixed 7 | Algebra One | N/A | UC College Prep | |||
| This course guides students through a high school level algebra curriculum. | ||||||
| full-course 10 | Algebra+ | Spring 2013 | Randy Anderson | Peninsula College | ||
| This course goes beyond algebra basics to discuss how to use algebraic application for real-world problems. | ||||||
| mixed | Algebra+ | N/A | Randy Anderson | Peninsula College | ||
| This course is designed for beginner level algebra students who need to be prepared to take math exams for college level math placement. | ||||||
| video 12 | Algebra: Absolute Value | N/A | Khan Academy | |||
| A series about absolute value and solving absolute value equations and inequalities. | ||||||
| video 107 | Algebra: ck12.org Algebra 1 Examples | N/A | Khan Academy | |||
| A comprehensive set of algebraic problems from ck12.org's Algebra 1 Flexbook, an open source textbook | ||||||
| video 53 | Algebra: Complex Numbers | N/A | Khan Academy | |||
| A series covering imaginary numbers and how to solve equations containing them. | ||||||
| video 22 | Algebra: Conic Sections | N/A | Khan Academy | |||
| Circles, ellipses, parabolas, and hyperbolas, and how to identify and graph them. | ||||||
| video 85 | Algebra: Equation Basics | N/A | Khan Academy | |||
| A series of algebraic examples surveying expressions, algebraic properties, and various problems, including linear, multi-step equations, word problems, and inequalities. | ||||||
| video 42 | Algebra: Exponents and Radicals | N/A | Khan Academy | |||
| A series defining exponents, quotients, the Pythagorean Theorem, scientific notation, and radicals. | ||||||
| video 53 | Algebra: Functions | N/A | Khan Academy | |||
| A series of various functions and how to identify, solve, and graph them. | ||||||
| video 71 | Algebra: Graphing Lines and Slope | N/A | Khan Academy | |||
| Algebraic concepts applied to graphic, including definitions of the coordinate plane, slope, intercept, Cartesian coordinates, the distance formula, and the midpoint formula. | ||||||
| video 26 | Algebra: In Simplest Terms | N/A | Learner.org | |||
| Students learn algebra as well as geometry and calculus basics in order to help them solve everyday problems. | ||||||
| video 4 | Algebra: Introduction to Algebra | N/A | Khan Academy | |||
| An introduction to algebra, its development, and its application in the world. | ||||||
| video 17 | Algebra: Logarithms | N/A | Khan Academy | |||
| An overview of logarithms, including the logarithmic scale, the Richter scale, and log proofs. | ||||||
| video 17 | Algebra: Matrices | N/A | Khan Academy | |||
| An introduction to matrices including matrix multiplication, inverting matrices, and using matrices to solve a system of equations. | ||||||
| video 89 | Algebra: Quadratic Functions | N/A | Khan Academy | |||
| A series of videos covering factoring quadratics, the quadratic equation, and completing the square. | ||||||
| video 2 | Algebra: Ratios & Proportions | N/A | Khan Academy | |||
| A series defining proportions and ratios, how to find unit rates, unit prices, how to convert units, and U.S. customary to metric units. | ||||||
| video 72 | Algebra: Systems of Equations and Inequalities | N/A | Khan Academy | |||
| Using elimination, substitution, and graphing to solve a system of equations or inequalities in two variables. | ||||||
| full-course 37 | Algebraic Combinatorics | Spring 2009 | Gregg Musiker | Massachusetts Institute of Technology | ||
| Students in this course are expected to have a background in basic linear algebra and finite groups, to learn the fundamentals of combinatorics. | ||||||
| full-course 1 | Algebraic Geometry | Fall 2003 | Martin Olsson | Massachusetts Institute of Technology | ||
| In this class about algebraic geometry, students discuss fundamentals of algebraic varieties. | ||||||
| full-course 1 | Algebraic Topology | Fall 2006 | Tyler Lawson | Massachusetts Institute of Technology | ||
| This course focuses on homology and cohomology theory in an introduction to algebraic topology. | ||||||
| full-course 1 | Algebraic Topology | N/A | G.K. Srinivasan | Indian Institute of Technology Bombay | ||
| Students in this course will learn about fundamental groups, covering spaces, singular homology theory, and more. | ||||||
| full-course 1 | Algebraic Topology II | Spring 2006 | Mark Behrens | Massachusetts Institute of Technology | ||
| The second course in algebraic topoology covers a variety of theories and applications. | ||||||
| full-course 7 | Algorithms | N/A | Michael Littman and Job Evers | Udacity | ||
| Take this course for an introduction to the design and analysis of algorithms, with practical examples including the Kevin Bacon game and social networking. | ||||||
| full-course 3 | An Introduction to Complex Numbers | N/A | The Open University | |||
| Explore complex numbers, learn how they're defined, and examine geometric representation in this course from The Open University. | ||||||
| full-course 25 | Analysis I | Fall 2010 | Katrin Wehrheim | Massachusetts Institute of Technology | ||
| This course covers the foundational principles of mathematical analysis. | ||||||
| full-course 24 | Analysis I | Spring 2006 | Dan Ciubotaru | Massachusetts Institute of Technology | ||
| Intended as an introduction to rigorous math, this course focuses on writing of proofs. | ||||||
| full-course 38 | Analysis II | Fall 2005 | Victor Guillemin | Massachusetts Institute of Technology | ||
| This course covers multivariable calculus, theory of differential forms in n-dimensional vector spaces, and manifolds. | ||||||
| full-course 5 | Analytic Combinatorics, Part I | Spring 2013 | Robert Sedgewick | Princeton University | ||
| Take Analytic Combinatorics to study calculus for precise predictions of large combinatorial structures. | ||||||
| full-course 5 | Analytic Combinatorics, Part II | Spring 2013 | Robert Sedgewick | Princeton University | ||
| Continuing from Analytic Combinatorics, Part II, this course further shares the calculus of predictions of large combinatorial structures. | ||||||
| audio 23 | Analytic Geometry and Calculus | Spring 2012 | Benjamin Johnson | University of California - Berkeley | ||
| This course offers instruction in the application of integration in economics and life sciences. It reviews differential equations, partial derivatives, and functions of many variables. | ||||||
| audio 42 | Analytic Geometry and Calculus | Spring 2012 | Santiago Canez | University of California - Berkeley | ||
| This course, which is intended for life and social science majors, features study in derivatives, definite integrals and applications, maxima and minima, and exponential and logarithmic function applications. | ||||||
| audio 38 | Analytic Geometry and Calculus | Fall 2012 | Jon Wilkening | University of California - Berkeley | ||
| Differential equations, functions of many variables, partial derivatives, and other topics and their applications to economics and life sciences are explored in this class. | ||||||
| mixed 27 | Analytic Geometry and Calculus | Fall 2010 | Thomas Scanlon | University of California - Berkeley | ||
| This course, a continuation of UC Berkeley's mathematics 16A course, covers the integration of economics and life sciences. | ||||||
| audio | Analytic Geometry and Calculus | Spring 2013 | James Demmel | University of California - Berkeley | ||
| This course covers the integration of economics and life sciences, with topics such as differential equations, functions of many variables, partial derivatives, and constrained and unconstrained optimization. | ||||||
| mixed 28 | Analytic Geometry and Calculus | Fall 2011 | Thomas Scanlon | University of California - Berkeley | ||
| Differential equations, partial derivatives, constrained and unconstrained optimization, and other topics related to the integration of economics and life sciences. | ||||||
| video 37 | Analytic Geometry and Calculus I | Fall 2011 | Ben Johnson | UC Berkeley | ||
| Take this UC Berkeley course to learn about the study and application of analytic geometry and calculus. | ||||||
| video 24 | Analytic Geometry and Calculus II | Fall 2011 | Thomas Scanlon | UC Berkeley | ||
| A continuation of the previous course, this lecture series offers further study in analytic geometry and calculus. | ||||||
| full-course 1 | Analytic Number Theory | N/A | Kiran Kedlaya | Massachusetts Institute of Technology | ||
| In this class on analytic number theory, students explore various prime number theories. | ||||||
| full-course 1 | Ancient Philosophy and Mathematics | Fall 2009 | Lee Perlman | MIT | ||
| In this course, students will learn about the ties between Western philosophy and theoretical mathematics. | ||||||
| mixed 6 | AP Calculus AB | N/A | UC College Prep | |||
| Covers the topics students need to know for the AP Calculus exam. | ||||||
| mixed 7 | AP Calculus BC | N/A | UC College Prep | |||
| A higher level high school calculus course, designed to cover topics featured on the BC AP exam. | ||||||
| full-course 2 | Applied Calculus | Fall 2008 | Adnan Jibril | KFUPM Open Courseware | ||
| Covers derivative concepts of logarithmic, exponential, and trigonometric functions, partial derivatives, rules for differentiation, and techniques of integration. | ||||||
| audio 300 | Applied Calculus for Business | Spring 2012 | Pauline Chow | Harrisburg Area Community | ||
| Topics include quadratic, polynomial, rational, exponential, and logarithmic functions; differential calculus of single variable and of several variables; and techniques of integration. | ||||||
| video 7 | Applied Math: Computational Number Theory | N/A | Khan Academy | |||
| The properties of prime numbers through prime factorization and primality test algorithms. | ||||||
| video 9 | Applied Math: Cryptography | N/A | Khan Academy | |||
| An introduction to cryptography through history, including videos on the Fundamental Theorem of Arithmetic, probability space, the polyalphabetic cipher, WW2 encryption machines, and pseudorandom number generators. | ||||||
| video 7 | Applied Math: Information Theory- | N/A | Khan Academy | |||
| An introduction to information theory through human, animal, and machine communication. | ||||||
| full-course 8 | Applied Maths - Defining Functions | N/A | The Open University of Hong Kong | |||
| Learn | ||||||
| video 1 | Applied Multivariate Analysis | N/A | Dr. Amit Mitra & Dr. Sharmishtha Mitra | Indian Institute of Technology Kanpur | ||
| This course will discuss multivariate distributions using practical, real life data. | ||||||
| video 39 | Arithmetic and Pre-Algebra: Decimals | N/A | Khan Academy | |||
| An overview of place value, rounding and estimation with decimals, basic operations with decimals, and decimal conversion. | ||||||
| video | Arithmetic and Pre-Algebra: Exponents | N/A | Khan Academy | |||
| Arithmetic and Pre-Algebra: Exponents- A basic overview of exponents and their rules, including solving exponents without algebra. | ||||||
| video 54 | Arithmetic and Pre-Algebra: Fractions | N/A | Khan Academy | |||
| Identifying fractions and their equivalents, ordering fractions, proper and improper fractions, finding common denominators, and using operations with fractions. | ||||||
| video 26 | Arithmetic and Pre-Algebra: Multiplication and Division | N/A | Khan Academy | |||
| A series over basic multiplication and division including times tables, lattice multiplication, partial quotient division. | ||||||
| video 8 | Arithmetic and Pre-Algebra: Negative Numbers | N/A | Khan Academy | |||
| An introduction to negative numbers, including ordering and adding negative numbers, and multiplying and dividing positive and negative numbers. | ||||||
| video 17 | Arithmetic and Pre-Algebra: Number Properties | N/A | Khan Academy | |||
| A series of definitions and uses of the commutative, associative, distributive, identity, and inverse properties. | ||||||
| video 4 | Arithmetic and Pre-Algebra: Order of Operations | N/A | Khan Academy | |||
| An introduction to the order in which to complete operations in an expression with basic and more complicated order of operations examples. | ||||||
| video 12 | Arithmetic and Pre-Algebra: Percents | N/A | Khan Academy | |||
| A series of videos covering decimal, fraction, and percent representation, conversion, ordering number expressions and solving percent problems. | ||||||
| video | Basic Arithmetic | N/A | Donna Gaudet, Ed.D. | Scottsdale Community College | ||
| Topics included in this basic arithmetic course include functions with whole numbers, fractions, decimals, and integers. | ||||||
| mixed 5 | Beginning Algebra | N/A | Saylor | |||
| Designed as a remedial course in algebra, this course gives students the basics of algebraic operations and concepts. | ||||||
| full-course 1 | Behavior of Algorithms | Spring 2002 | Daniel Spielman | Massachusetts Institute of Technology | ||
| This course discusses the behavior of algorithms and theoretical computer science. | ||||||
| audio | Beyond Infinity | N/A | The University of Nottingham | |||
| This is a math talk that uses the notion of Hilbert's infinite hotel to introduce the idea of infinity. | ||||||
| video 1 | Biomathematics | N/A | Dr. Ranjith Padinhateeri | Indian Institute of Technology Bombay | ||
| This is an advanced course covering mathematical topics related to biotechnology. | ||||||
| full-course 22 | Biotechnology | N/A | Dr Anas Bahnassi | UDemy | ||
| Topics in this course include the basics and principles amino acids, DNA, RNA, gene therapy, and more. | ||||||
| audio 216 | Blended: College Algebra | Fall 2011 | Pam Watkins | Harrisburg Area Community | ||
| This course studies fundamental algebraic operations, exponents, and radicals, systems of equations, higher degree equations, logarithms, matrices, inequalities, and applications. | ||||||
| audio 132 | Blended: Intermediate Algebra | Fall 2011 | Pam Watkins | Harrisburg Area Community | ||
| Topics in this course include fundamental operations, special products and factors, functions and fractional equations, exponents, radicals, and quadratic equations. | ||||||
| audio 26 | Brief Calculus | Fall 2010 | Omayra Ortega | Arizona State University | ||
| Topics covered include limits and the derivative, differentiability and continuity, and exponential functions, among others. | ||||||
| full-course 45 | Business Mathematics & Statistics | N/A | Zahir Fikri | Virtual University of Pakistan | ||
| The purpose of the course is to provide students with a mathematical basis for personal and business financial decisions through eight instructional modules. | ||||||
| audio 39 | Calculus | Spring 2012 | F. Michael Christ | University of California - Berkeley | ||
| This course, which is the second half of UC Berkeley's calculus curriculum, focuses on techniques and applications of integration, first-order ordinary differential equations, and infinite sequences. | ||||||
| audio 39 | Calculus | Spring 2012 | Slobodan Simic | University of California - Berkeley | ||
| Students in this course learn about techniques and applications of integration, first and second-order differential equations, and infinite sequences and series. | ||||||
| audio 28 | Calculus | N/A | Mir Mirjalalieh Shiraz | University of California, San Diego | ||
| Students enrolled in this course will study calculus, a branch of mathematics focused on limits, functions, derivatives, integrals, and infinite series. | ||||||
| audio 44 | Calculus | Fall 2009 | F. Michael Christ | University of California - Berkeley | ||
| This course introduces students to differential and integral calculus of functions of one variable. It's intended for engineering or physical sciences majors. | ||||||
| mixed 13 | Calculus | N/A | Education Portal | |||
| Students in this course study graphing and functions, continuity, geometry and trigonometry, limits, rate of change, differential equations, and more. | ||||||
| audio 38 | Calculus | Fall 2012 | Slobodan Simic | University of California - Berkeley | ||
| This course, which is intended for engineering and physical science majors, offers an introduction to differential and integral calculus of functions of one variable. | ||||||
| audio 38 | Calculus | Spring 2010 | Per-Olof Persson | University of California - Berkeley | ||
| This course, which is a continuation of the first calculus class, covers techniques and applications of integration, infinite sequences, ordinary differential equations, and more. | ||||||
| audio 40 | Calculus | Fall 2010 | F. Michael Christ | UC Berkeley | ||
| Study classic calculus in UC Berkeley's course. | ||||||
| video 21 | Calculus | N/A | Bruce G. Bukiet | New Jersey Institute of Technology | ||
| Explore calculus with an emphasis on science and engineering applications. | ||||||
| audio 55 | Calculus | Spring 2010 | Dr. Selwyn Hollis | Armstrong Atlantic State University | ||
| Learn about limits and graphs, continuity, derivatives of trigonometric functions, and more in this online course from Armstrong Atlantic State University. | ||||||
| audio 40 | Calculus | Fall 2010 | F. Michael Christ | University of California - Berkeley | ||
| This course, designed for engineering and physical science majors, introduces students to differential and integral calculus of functions of one variable, as well as transcendental functions. | ||||||
| audio | Calculus | Spring 2013 | Slobodan Simic | University of California - Berkeley | ||
| This introductory calculus course covers differential and integral calculus of one-variable functions. Transcendental functions and their applications are also introduced. | ||||||
| video 21 | Calculus | N/A | Bruce G. Bukiet | New Jersey Institute of Technology | ||
| Admission to this course is by invitation, based on standardized entrance exams; the class emphasizes science and engineering applications. | ||||||
| audio 6 | Calculus & Analytic Geometry For Science & Engineering | N/A | Michael B Meredith | University of California, San Diego | ||
| Students in this course will be introduced to vectors, three-dimensional geometry, multivariable differential calculus, and multiple integrals. | ||||||
| audio 21 | Calculus 2 - Chapter 5 | Spring 2008 | Jefferson Community College | |||
| This course provides an introduction to integration and applications of the definite integral. | ||||||
| audio 21 | Calculus 2 - Chapter 6 | Spring 2008 | Jefferson Community College | |||
| This course provides an introduction to integration and applications of the definite integral. | ||||||
| audio 72 | Calculus 2 - Chapter 7 | Spring 2008 | Jefferson Community College | |||
| This course provides an introduction to integration and applications of the definite integral. | ||||||
| audio 22 | Calculus 2 - Chapter 8 | Spring 2008 | Jefferson Community College | |||
| This course provides an introduction to integration and applications of the definite integral. | ||||||
| audio 13 | Calculus 2 - Chapter 9 | Spring 2008 | Jefferson Community College | |||
| This course provides an introduction to integration and applications of the definite integral. | ||||||
| audio 9 | Calculus and Analytic Geometry for science and Engineering | Fall 2012 | Michael B Meredith | UC San Diego | ||
| Calculus and analytic geometry is studied regarding vector geometry and functions, partial differentiation, maxima and minima, and double integration. | ||||||
| full-course 45 | Calculus and Analytical Geometry | N/A | Faisal Shah Khan | Virtual University of Pakistan | ||
| The topics covered in this course include real numbers, set theory, intervals and inequalities, Lines, functions and graphs, limits and continuity, differentiation, integration, and sequence and series. | ||||||
| audio 38 | Calculus for Business | Spring 2010 | iTunesU | |||
| This course applies calculus techniques to business practices and issues. | ||||||
| video 36 | Calculus I | Summer 2009 | Richard Delaware | University of Missouri-Kansas City | ||
| This course includes instruction in trigonometry, trigonometric graphs, Laws of Sine and Cosine, limits, and definite integrals. | ||||||
| video 91 | Calculus I | N/A | Grand Rapids Community College | |||
| This 91-video course covers the fundamental concepts of calculus. | ||||||
| full-course 1 | Calculus I | Winter 2009 | Catalin Zara | University of Massachusetts - Boston | ||
| Calculus I includes study in functions and limits, derivatives and their applications, and definite and indefinite integrals. | ||||||
| mixed 5 | Calculus I | N/A | Saylor | |||
| This course was designed in partnership with the Washington State Board for Community and Technical Colleges and prepares students for the basics of calculus. | ||||||
| full-course 26 | Calculus I | Spring 2011 | Matthew Leingang | New York University | ||
| Students learn its fundamentals, rules, and purpose of Calculus. | ||||||
| full-course 39 | Calculus I | Spring 2007 | Costel Ionita | Dixie State College of Utah | ||
| Math and engineering students study to understand calculus principles such as integration, inverse trigonometric functions, and continuity. | ||||||
| full-course 47 | Calculus I | Spring 2013 | Nil G | Eastern Mediterranean University | ||
| Understand change and motion by developing an understanding of calculus, its principles, and its applications. | ||||||
| full-course 14 | Calculus I | Fall 2009 | Catalin Zara | UMass Boston | ||
| Calculus I will teach you about differential and integral calculus. | ||||||
| full-course 26 | Calculus I | Spring 2011 | Matthew Leingang | New York University | ||
| Professor Matthew Leingang's course studies the foundations of calculus, as well as the study of functions and their rates of change. | ||||||
| audio 43 | Calculus I | Spring 2009 | Rosenthal | Florida International University | ||
| In this intro course, areas of study include instantaneous velocity, secant lines and tangent lines, techniques for computing limits, and more. | ||||||
| full-course 15 | Calculus I (2009) | Fall 2009 | Chris Morgan | Capilano University | ||
| Study geometric interpretation emphasized calculus, including such concepts as implicit differentiation, limits, and anti-differentiation. | ||||||
| full-course 15 | Calculus I (2010) | Spring 2010 | Frank Harris | Capilano University | ||
| Develop your understanding of derivatives, continuity, limits, implicit curves, and much more. | ||||||
| video 8 | Calculus II | Fall 2012 | James Foran | University of Missouri-Kansas City | ||
| The calculus II course covers definite integral applications, improper integrals, sequences and series, and techniques of integration. | ||||||
| full-course 1 | Calculus II | Spring 2006 | Catalin Zara | University of Massachusetts - Boston | ||
| This course covers techniques of integration, applications of the integral, improper integrals, and transcendental functions. | ||||||
| full-course 45 | Calculus II | N/A | M. Anwar Rao | Virtual University of Pakistan | ||
| This course focuses on two basic applications in math: differential calculus and integral calculus. | ||||||
| full-course 38 | Calculus II | Fall 2007 | Costel Ionita | Dixie State College of Utah | ||
| Students continue their study of the mathematics that measures motion and change, and learn advanced concepts like spherical coordinates and integration techniques. | ||||||
| article 9 | Calculus II | Spring 2013 | Eastern Mediterranean University | |||
| Expand on the knowledge gained in Calculus 1 by learning advanced calculus principles, like lines and planes. | ||||||
| full-course 47 | Calculus II | Spring 2006 | Catalin Zara | UMass Boston | ||
| Continue working in this course, which discusses transcendental functions, techniques of integration, and more. | ||||||
| audio 49 | Calculus II | Spring 2009 | iTunesU | |||
| Continue your study of calculus, including topics in the definite integral, the Fundamental Theorem of Calculus, sigma notation, and more. | ||||||
| audio 22 | Calculus II - MAC 2312 | Spring 2011 | Robert Storfer | Florida International University | ||
| This lecture series from Florida International University covers a MAC 2312 course. | ||||||
| mixed 1 | Calculus II for Business | N/A | Alex Himonas | University of Notre Dame | ||
| Students in this course will learn how to use calculus to understand and model real life situations such as those in business, environmental changes, population growth to name a few. | ||||||
| full-course 16 | Calculus II for Business | Fall 2009 | Alex Himonas | University of Notre Dame | ||
| Calculus for business students will learn about using calculus to understand and incorporate real life situations in business as well as the outside world. | ||||||
| full-course 15 | Calculus II for Business and Social Sciences | Spring 2010 | Chris Morgan | Capilano University | ||
| Students study single variable integral and multivariable calculus as well as differential equations and other concepts as they relate to the business and social sciences fields. | ||||||
| video 8 | Calculus III | Fall 2012 | James Foran | University of Missouri-Kansas City | ||
| Calculus III features course work in solid analytic geometry, vector functions, partial derivatives, line and surface integrals, and vectors. | ||||||
| full-course 1 | Calculus III | Spring 2010 | Catalin Zara | University of Massachusetts - Boston | ||
| Students in this course study the calculus of functions of several variables. This includes study of the basic object of multidimensional geometry, such as vectors and vector operations, as well as differential and integral calculus and line and surface integrals. | ||||||
| full-course 10 | Calculus III | Spring 2010 | Catalin Zara | UMass Boston | ||
| Study Calculus III to find an introduction to the calculus of functions of several variables. | ||||||
| full-course 15 | Calculus III (2007) | Fall 2007 | Chris Morgan | Capilano University | ||
| Become familiarized with advanced calculus concepts, such as continuity, limit concept, and much more. | ||||||
| full-course 34 | Calculus of Several Variables | Fall 2010 | James McKernan | Massachusetts Institute of Technology | ||
| This course covers the intensive study of mathematical concepts in several-variable calculus. | ||||||
| video 1 | Calculus of Variations and Integral Equations | N/A | Dr. Malay Banerjee | Indian Institute of Technology Kanpur | ||
| Students will learn various rules and theories in calculus, including Fredholm's theory and the Volterra integro-differential equation. | ||||||
| full-course 15 | Calculus One | Spring 2013 | Jim Fowler | Ohio State University | ||
| Calculus One offers an introduction to differential and integral calculus, with an emphasis on examples from everyday life. | ||||||
| full-course 33 | Calculus with Applications | Spring 2005 | Daniel Kleitman | Massachusetts Institute of Technology | ||
| This course for undergrads covers differential calculus in one and multiple dimensions. | ||||||
| full-course 38 | Calculus with Theory | Fall 2010 | Christine Breiner | Massachusetts Institute of Technology | ||
| This course provides rigorous study of proofs, as an extension of elementary calculus. | ||||||
| video 57 | Calculus: Differential Calculus | N/A | Khan Academy | |||
| A survey including an introduction to limits, Squeeze Theorem, derivatives, implicit differentiation, L'Hopital Rule, and Mean Value Theorem. | ||||||
| video 77 | Calculus: Integral Calculus | N/A | Khan Academy | |||
| An overview of definite and indefinite integrals, Taylor Polynomials, and exponential growth. | ||||||
| video 76 | Calculus: Multivariable Calculus | N/A | Khan Academy | |||
| A survey of multivariable calculus including partial derivatives, divergence, double integrals, Green's Theorem, and the surface integral. | ||||||
| full-course 13 | Calculus: Single Variable | Spring 2013 | Robert Ghrist | University of Pennsylvania | ||
| Calculus: Single Variable is perfect for engineering, physics, and social sciences, with a look at the different applications of calculus in these fields. | ||||||
| video 40 | College Algebra | Summer 2009 | Richard Delaware | University of Missouri-Kansas City | ||
| This college algebra course examines Natural numbers, Real numbers, functions, graphs, and ways to find the distance between two points. | ||||||
| mixed 11 | College Algebra | N/A | Education Portal | |||
| This college algebra course covers foundations and linear equations, matrices and absolute value, functions, complex numbers, and more | ||||||
| full-course 1 | College Algebra | N/A | Julie Sliva Spitzer | San Jose State University | ||
| This class covers algebraic principles in depth, with an emphasis on everyday application. | ||||||
| audio 27 | College Algebra | Fall 2009 | Jason Rosenberry | Harrisburg Area Community | ||
| Areas of study include fundamental algebraic operations, exponents and radicals, systems of equations, higher degree equations, logarithms, matrices, and inequalities. | ||||||
| mixed | College Algebra | N/A | Pat McKeague | XYZ textbooks | ||
| A journey through college Algebra, this course also explores a number of concepts that are related as well such as the Da Vinci Code, the Mona Lisa and more. | ||||||
| audio 17 | College Algebra - MAC 1105 | Spring 2012 | Peg Greene | Florida State College | ||
| Topics include working with a graphic calculator, solving first and second degree equations, and more. | ||||||
| mixed 11 | College Mathematics | N/A | Education Portal | |||
| This course features study in sets, math foundations, linear equations, properties of exponents and polynomials, and more. | ||||||
| audio 24 | College Trigonometry | Fall 2012 | Jim Voss | Front Range Community College | ||
| This course from Front Range Community College focuses on angles. | ||||||
| full-course 26 | Combinatorial Analysis | Fall 2005 | Alexander Postnikov | Massachusetts Institute of Technology | ||
| This course analyzes combinatorial problems and investigates various solutions. | ||||||
| full-course 27 | Combinatorial Optimization | Fall 2003 | Santosh Vempala | Massachusetts Institute of Technology | ||
| This course provides an intensive explanation of linear programming and combinatorial optimization. | ||||||
| full-course 1 | Combinatorial Theory: Hyperplane Arrangements | Fall 2004 | Richard Stanley | Massachusetts Institute of Technology | ||
| This graduate course explores modern enumerative and algebraic combinatorics and hyperplane arrangements in depth. | ||||||
| full-course 1 | Combinatorial Theory: Introduction to Graph Theory, Extremal and Enumerative Combinatorics | Spring 2005 | Igor Pak | Massachusetts Institute of Technology | ||
| This class offers an introduction to modern enumerative and algebraic combinatorics. | ||||||
| full-course 1 | Commutative Algebra | Fall 2008 | Steven Kleiman | Massachusetts Institute of Technology | ||
| This class provides an introduction to commutative algebra theories and applications, like Hilbert basis theorem, Clayey-Hamilton theorem, integral dependence and more. | ||||||
| mixed 8 | Complex analysis | N/A | Saylor | |||
| Students will learn the theory of analytic functions of a complex variable in this course. | ||||||
| full-course 36 | Complex Variables with Applications | Fall 2003 | Alar Toomre | Massachusetts Institute of Technology | ||
| Students in this course explore topics in complex algebra and its functions. | ||||||
| full-course 35 | Complex Variables with Applications | Fall 1999 | R. Rosales | Massachusetts Institute of Technology | ||
| Students in this course explore topics in complex algebra and its functions. | ||||||
| article 23 | Computational Geometry | N/A | Nicholas Patrikalakis, Takashi Maekawa | MIT | ||
| This course will address the various aspects of computational geometry, covering topics that include b-splines, offsets, boundary representation models, and physically based deformable surfaces. | ||||||
| full-course 36 | Computational Science and Engineering | Fall 2008 | Gilbert Strang | MIT | ||
| Study linear algebra, differential equations, Fourier series, Fourier transform, and more in Computational Science and Engineering. | ||||||
| full-course 36 | Computational Science and Engineering I | Fall 2008 | Gilbert Strang | Massachusetts Institute of Technology | ||
| Through this course students review various principles and applications of linear algebra. | ||||||
| audio 39 | Concepts in Computing with Data | Fall 2012 | Fletcher Ibser | University of California - Berkeley | ||
| This course offers an introduction to computationally intensive statistics. Topics of study include the organization and use of statistical learning and data mining, model validation procedures, databases, and graphics. | ||||||
| audio 28 | Concepts of Probability | Spring 2010 | Fletcher Ibser | University of California - Berkeley | ||
| Concepts of probability provides an introduction to the concepts and applications of probability. It also reviews the laws of large numbers, conditional expectation, central limit theorem, and more. | ||||||
| video 32 | Core Science Mathematics | N/A | S.K.Ray | NPTEL | ||
| Core Science Mathematics studies real numbers, sequences, functions, and more. | ||||||
| full-course 12 | Counting and Probability | N/A | The Open University of Hong Kong | |||
| In this course from the Open University of Hong Kong, learn basic probability and counting principles. | ||||||
| article 6 | CSET Mathematics I: Algebra | N/A | University of California - Irvine | |||
| This course prepares students to take the California Subject Examinations for Teachers (CSET), which is necessary to teach math or science in the state's schools. | ||||||
| article 7 | CSET Mathematics II: Geometry, Probability and Statistics | N/A | University of California - Irvine | |||
| This online open course helps prepare science and mathematics teachers to take the California Subject Examinations for Teachers (CSET). Lesson topics include plane Euclidean geometry, three-dimensional geometry, probability, and statistics. | ||||||
| article 6 | CSET Mathematics III: Trigonometry and Calculus | N/A | University of California - Irvine | |||
| UC - Irvine's CSET Mathematics III course prepares students to take the California Subject Examinations for Teachers. This course includes study in trigonometry, limits and continuity, integrals and applications, and sequences and series. | ||||||
| full-course 25 | Differential Analysis | Fall 2004 | Richard Melrose | Massachusetts Institute of Technology | ||
| This course is first in a two-semester sequence, covering various topics in differential analysis in mathematics. | ||||||
| full-course 24 | Differential Analysis | Spring 2004 | Jeff Viaclovsky | Massachusetts Institute of Technology | ||
| This course is second in a two-semester sequence, providing a thorough foundation in elliptic and parabolic linear partial differential equations theory. | ||||||
| video 45 | Differential Equations | Fall 2008 | The Khan Academy | |||
| This course is essentially a first-year course in differential equations. It covers separable differential equations, exact equations, first order homogenous equations, and factor integration. | ||||||
| video 32 | Differential Equations | Spring 2008 | MIT | |||
| The differential equations course covers ordinary differential equations, undetermined coefficients and variation of parameters, oscillations, damping, resonance, complex numbers and exponentials, Delta functions, and more. | ||||||
| mixed 7 | Differential Equations | N/A | Saylor | |||
| Supplemental videos from the Khan Academy ensure this course thoroughly explains differential equations to students. | ||||||
| full-course 45 | Differential Equations | N/A | Syed Muhammad Junaid Zaidi | Virtual University of Pakistan | ||
| This course contains more than 90 interactive differential equations tools and covers the entire differential equations course. | ||||||
| full-course 4 | Differential Equations | Fall 2011 | Arthur Mattuck, Haynes Miller, Jeremy Orloff, John Lewis | Massachusetts Institute of Technology | ||
| In this course students learn about the math equations and techniques commonly used in science and engineering. | ||||||
| full-course 39 | Differential Equations | Spring 2010 | Haynes Miller, Arthur Mattuck | Massachusetts Institute of Technology | ||
| In this course students learn about the math equations and techniques commonly used in science and engineering. | ||||||
| full-course 63 | Differential Equations | Spring 2010 | Haynes Miller | MIT | ||
| View the Differential Equations course from MIT to learn about the language in which the laws of nature are expressed. | ||||||
| full-course 3 | Differential Equations | N/A | The Open University | |||
| Check out this course on differential equations to understand both first-order differential equations and selected second-order differential equations with a variety of applications. | ||||||
| audio 24 | Differential Equations | Spring 2010 | Selwyn Hollis | Armstrong Atlantic State University | ||
| Gain a foundation in differential equations through lectures in linear first-order equations, existence and uniqueness, mechanical vibrations, and more. | ||||||
| audio 26 | Differential Equations | Fall 2010 | Rosenthal | Florida International University | ||
| This course from Florida International University explores concepts in differential equations. | ||||||
| full-course 1 | Differential Equations in Action | N/A | J | Udacity | ||
| This class focuses on the use of differential equations to solve specific real world problems. | ||||||
| full-course | Differential Geometry | Fall 2008 | Paul Seidel | Massachusetts Institute of Technology | ||
| With a concentration on geometry and the notion of curvature, this course introduces differential geometry. | ||||||
| audio 1 | Differentiation and Functions in Mathematics | N/A | XSIQ | |||
| In this class, students will gain a solid understanding of intermediate mathematics, with a focus on differentiation and functions. | ||||||
| article 1 | Diploma in Mathematics | N/A | XSIQ | |||
| In this diploma course on mathematics, students will be refreshed on the various mathematical subjects, including calculus, algebra, geometry, and statistics. | ||||||
| mixed 1 | Diploma in Statistics | N/A | XSIQ | |||
| A diploma course covers key topics in statistics, such as probability, data collection, and regression analysis. | ||||||
| article 19 | Discrete Mathematics | N/A | Byoung-Tak Zhang | Seoul National University | ||
| Students in this course will study discrete, mathematical objects and structures like proofs, summations, graphs, algorithms and integers, among others. | ||||||
| article 15 | Discrete Mathematics | N/A | Suk I. Yoo | Seoul National University | ||
| Students in this course will study discrete, mathematical objects and structures like proofs, summations, graphs, algorithms and integers, among others. | ||||||
| full-course 45 | Discrete Mathematics | N/A | Shoaib-ud- Din | Virtual University of Pakistan | ||
| This course studies patterns found in sets, relations, and functions; mathematical ideas and concepts relevant to logic, combinatorics, and probability are also covered. | ||||||
| audio 44 | Discrete Mathematics and Probability Theory | Spring 2011 | James Demmel | University of California - Berkeley | ||
| This course covers logic, infinity, and induction, as well as modular arithmetic and polynomials. | ||||||
| video 25 | Discrete Stochastic Processes | Summer 2012 | Various | MIT | ||
| The Discrete Stochastic Processes course features a review in probability and The Bernoulli Process, as well as instruction in convergence, Markov eigenvalues and eigenvectors, and martingales. | ||||||
| article 8 | DiscreteMath | N/A | Chang-Gun Lee | Seoul National University | ||
| Students in this course will study discrete, mathematical objects and structures like proofs, summations, graphs, algorithms and integers, among others. | ||||||
| full-course 1 | Double Affine Hecke Algebras in Representation Theory, Combinatorics, Geometry, and Mathematical Physics | Fall 2009 | Pavel Etingof | Massachusetts Institute of Technology | ||
| In this class, students will discuss the representation of Double affine Hecke algebras (DAHA) in a number of different contexts. | ||||||
| mixed 4 | Econometrics | N/A | Saylor | |||
| Saylor provides this course to give students a clear and simple introduction to econometrics. | ||||||
| mixed 4 | Econometrics | N/A | Saylor | |||
| This econometrics course gives students straightforward and simple introduction to econometrics. | ||||||
| mixed 4 | Economic Development | N/A | Saylor | |||
| Students will learn about the major theories of economic development and to place them in the proper historical context in this course. | ||||||
| full-course 45 | Elementary Mathematics | N/A | Zahir Fikri | Virtual University of Pakistan | ||
| This class discusses laws of logic, sets, relations and functions, sequences, series, matricies, introduction to statistics, data representation, the central tendency of a data-set, measures of dispersion, and probability theory. | ||||||
| full-course 1 | Elementary Numerical Analysis | N/A | Rekha P. Kulkarni | Indian Institute of Technology Bombay | ||
| Students will learn about different topics in elementary numerical analysis, including polynomial and piecewise polynomial interpolation and numerical integration and differentiation. | ||||||
| mixed 12 | Elementary Statistics | N/A | Susan Dean, Barbara Illowsky | De Anza College | ||
| This course is composed of 12 lessons containing quizzes, exams, and projects that will introduce you to data analysis using graphical and numerical techniques. | ||||||
| audio 12 | Elementary Statistics and Probability | Fall 2006 | Barbara Illowsky | De Anza College | ||
| This course from De Anza College provides an introduction to data analysis using graphical and numerical techniques. | ||||||
| mixed 1 | Elements of Calculus I | N/A | Alex Himonas | University of Notre Dame | ||
| This class is for students in arts and letters, architecture, or business; this class studies basic calculus as part of a liberal arts education. | ||||||
| full-course 41 | Elements of Calculus I | Fall 2008 | Alex Himonas | University of Notre Dame | ||
| Learn about basic calculus, mathematics and functions and how they relate to education and society. | ||||||
| mixed 16 | Engineering Analysis II | N/A | Vinod Kumar | University of Texas at El Paso | ||
| This is a course designed to give engineers the basics of numerical methods including root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, and more. | ||||||
| full-course 26 | Error-Correcting Codes Laboratory | Spring 2004 | Daniel Spielman | Massachusetts Institute of Technology | ||
| In this course students will be introduced to iterative decoding algorithms and their related codes. | ||||||
| full-course 9 | Exploring Distance Time Graphs | N/A | The Open University | |||
| This course from The Open University will teach you about using graphs as a way to present information. | ||||||
| full-course 5 | Finite Mathematics | Fall 2007 | Raja Mohammad Latif | KFUPM Open Courseware | ||
| Covers systems of linear equations, basic concepts in statistics, and probability for finite sample space. | ||||||
| mixed 8 | Foundations | N/A | Saylor | |||
| For any student struggling in mathematics, this foundations course will prepare them for higher levels of mathematics courses. | ||||||
| article 1 | Fourier Analysis | N/A | Dr. R. Radha & Dr. S. Thangavelu | Indian Institute of Science Bangalore & Indian Institute of Technology Madras | ||
| This course covers advanced topics related to the Fourier series concept. | ||||||
| full-course 27 | Fourier Analysis - Theory and Applications | Spring 2004 | Richard Melrose | Massachusetts Institute of Technology | ||
| This course is intended to follow an introductory analysis course, emphasizing theory of the Lebesgue integral, Fourier series, and Fourier integrals. | ||||||
| video 29 | Functional Analysis | Spring 2011 | Joel Feinstein | University of Nottingham | ||
| Functional analysis is the combination of linear algebra and metric topology. The 29-video course covers complete metric spaces, Tychonoff's theorem, infinite products, and normed and Banach spaces. | ||||||
| mixed | Functional Analysis | 2006 | The University of Nottingham | |||
| This module establishes the principle theorums of functional analysis, linear algebra, and metric topology. | ||||||
| mixed | Functional Analysis | 2010 | The University of Nottingham | |||
| This module establishes the principle theorums of functional analysis, linear algebra, and metric topology. | ||||||
| full-course 1 | Functional Analysis | N/A | P.D. Srivastava | Indian Institute of Technology Kharagpur | ||
| Students will learn the basic concepts, principles, and methods of functional analysis and its applications. | ||||||
| full-course 1 | Functional Analysis | N/A | M.T. Nair | Indian Institute of Technology Madras | ||
| Students will study functional analysis as it relates to spaces, operators, and spectral results. | ||||||
| full-course 23 | Functions of a Complex Variable | Fall 2008 | Sigurdur Helgason | Massachusetts Institute of Technology | ||
| Intended for advanced-level graduate students, this course explores one complex variable-calculus with geometric emphasis. | ||||||
| full-course 6 | Fundamentals of Personal Financial Planning | Spring 2012 | Avi Pai | UC Irvine | ||
| Reach your financial goals with this helpful personal finance course from UC Irvine. | ||||||
| audio 10 | Game Theory | N/A | Kristina L Buzard | University of California, San Diego | ||
| This course discusses game theory, a study of strategic decision making. | ||||||
| audio | Game Theory | Spring 2013 | Elchanan Mossel | University of California - Berkeley | ||
| This course explores the general theory of zero-sum, two-person games. | ||||||
| full-course 7 | Games without Chance: Combinatorial Game Theory | Spring 2013 | Tom Morley | Georgia Institute of Technology | ||
| In this class, students can expand their insight into the structure of two-person games through an understanding of mathematical theory. | ||||||
| article 1 | Geometric Combinatorics | Fall 2005 | Csaba Toth | Massachusetts Institute of Technology | ||
| In this class, students will discuss teaching methods in combinatorial geometry and receive an introduction to discrete and computational geometry. | ||||||
| full-course 23 | Geometric Folding Algorithms | Fall | Erik Demaine | MIT | ||
| This course from MIT explores geometric folding, including linkages, origami, and polyhedra. | ||||||
| video 114 | Geometry | Spr | The Khan Academy | |||
| This geometry course reviews the language and notation of basic geometry, line segments, rays, angle measurement, and congruence. | ||||||
| mixed 10 | Geometry | N/A | Saylor | |||
| This course studies primarily in two-dimensional space but includes some study of three-dimensional as well. | ||||||
| full-course 1 | Geometry - Angles, Shapes and Area | N/A | Math Planet | |||
| This class geared toward high school and secondary students focuses on building the learner's conceptual knowledge of key geometrical areas, like points, lines, angles, triangles, quadrilaterals, and circles. | ||||||
| full-course 17 | Geometry and Quantum Field Theory | Fall 2002 | Pavel Etingof | Massachusetts Institute of Technology | ||
| Geared toward math majors, this course provides an intensive introduction to perturbative quantum field theory, through functional integrals language. | ||||||
| audio 1 | Geometry in Mathematics | N/A | XSIQ | |||
| This is a course designed for use as a complimentary resource or study guide for students who want to enhance their understanding to introductory geometry concepts. | ||||||
| full-course 1 | Geometry of Manifolds | Fall 2004 | Tomasz Mrowka | Massachusetts Institute of Technology | ||
| This graduate level course discusses the geometry of manifolds and dives into topics like Lie groups, differentiable manifolds, and vector fields. | ||||||
| video 35 | Geometry: Angles | N/A | Khan Academy | |||
| A survey covering the concepts used to identify, measure, and calculate angles. | ||||||
| video 10 | Geometry: Basic Geometry | N/A | Khan Academy | |||
| An introduction to area and perimeter, circles and their radius, diameter, and circumference, cylinder volume and surface area, and the volume of a sphere. | ||||||
| video 11 | Geometry: Circles | N/A | Khan Academy | |||
| An overview of radius, diameter, and circumference, the area of a circle, and Pi. | ||||||
| video 5 | Geometry: Introduction to Euclidean Geometry | N/A | Khan Academy | |||
| An introduction to Euclid and the language and notation of basic geometry. The survey also covers lines, line segments, rays, and identifying parallel and perpendicular lines. | ||||||
| video 17 | Geometry: Polygons, Quadrilaterals, and Parallelograms | N/A | Khan Academy | |||
| How to identify quadrilaterals, find measurements, including the area of a parallelogram or regular hexagon, sum of the interior and angles of a polygon and the exterior | ||||||
| video 78 | Geometry: Triangles | N/A | Khan Academy | |||
| An overview of the principles of similarity and congruence and types of triangles. The series includes videos over the Pythagorean Theorem, Heron's Formula, and Euler's Line. | ||||||
| video 21 | Geometry: Worked Examples | N/A | Khan Academy | |||
| 80 problems worked through from the California Standards Test for Geometry. | ||||||
| full-course 1 | Graph Partitioning and Expanders | Spring 2013 | Luca Trevisan | Stanford University |
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| This course is research-oriented and intended for graduates, covering algorithms for graph partitioning and clustering, constructions of expander graphs, and more. | ||||||
| full-course 1 | Graph Theory | N/A | S.A. Choudum | Indian Institute of Technology Madras | ||
| This course covers advanced topics in graph theory. | ||||||
| audio 16 | Graphing Calculator Keystroke Guide | Fall 2008 | Jefferson Community College | |||
| Learn fundamental calculator operations for the TI-83. | ||||||
| video 38 | Help With GCSE maths | N/A | Tom Cassidy | UDemy | ||
| This course has tips for making the basics of GCSE maths easier. | ||||||
| mixed 5 | history of Economic Ideas | N/A | Saylor | |||
| Saylor's purpose for this course was to give students a comprehensive understanding of the history of economic thinking and ideas. | ||||||
| full-course | Homological Algebra | Spring 2007 | Jawad Abuhlail | KFUPM Open Courseware | ||
| This course provides a review of free, projective, and injective modules, direct limits, homology, and homology and derived functors in Algebra. | ||||||
| full-course 36 | Honors Differential Equations | Spring 2009 | Vera Mikyoung Hur | Massachusetts Institute of Technology | ||
| This course is an extension of differential equations studies, with added emphasis on mathematical theory. | ||||||
| full-course 40 | Honors Differential Equations | Spring 2004 | Jason Starr | Massachusetts Institute of Technology | ||
| This course is an extension of differential equations studies, with added emphasis on mathematical theory. | ||||||
| mixed | How and Why We Do Mathematical Proofs | 2009 | The University of Nottingham | |||
| This module why proofs can help to determine if a result is true and how to start and use them. | ||||||
| mixed 8 | IB Mathematics SL | N/A | Memrise | |||
| This course is designed to review material that may be covered on the IB Mathematics SL exam. | ||||||
| mixed 8 | Industrial Organization | N/A | Saylor | |||
| This course observes prominent topics and theories in the subject of industrial organization. | ||||||
| full-course 1 | Infinite Random Matrix Theory | Fall 2004 | Moe Win | Massachusetts Institute of Technology | ||
| In this class, students will learn about theories and methods behind the characterization of infinite random matrices. | ||||||
| audio 5 | Infinity | Fall 2007 | Broome Community College | |||
| This course provides a discussion on infinity, including uncountable infinity and denumerable infinity. | ||||||
| full-course 1 | Integral Equations | Spring 2006 | Dionisios Margetis | Massachusetts Institute of Technology | ||
| In this class, students explore theories and techniques and applied mathematics perspectives on solving integral equations. | ||||||
| audio 40 | Intermediate Algebra | Fall 2010 | Jason Rosenberry | Harrisburg Area Community | ||
| This course is geared towards students who have limited backgrounds in algebra and covers fundamental operations, special products and factors, functions and fractional equations, exponents, radicals, and quadratic equations. | ||||||
| mixed 5 | Intermediate Macroeconomics | N/A | Saylor | |||
| In this course, students will build and apply what was learned in the introductory course in macroeconomics. | ||||||
| mixed 5 | Intermediate Microeconomics | N/A | Saylor | |||
| Saylor designed this course to expand students' knowledge of basic microeconomics. | ||||||
| mixed 4 | International Trade | N/A | Saylor | |||
| Students will be provided with the necessary analytical framework for the study of international trade, which covers a vast array of topics related to the subject. | ||||||
| full-course 18 | Introduction to Aerospace Engineering | N/A | Dr. Ugur Guven | UDemy | ||
| This is a great course for getting started on aerospace engineering. | ||||||
| full-course 40 | Introduction to Analysis | Fall 2012 | Arthur Mattuck | Massachusetts Institute of Technology | ||
| This course provides a gentle, non-traditional introduction to the various elements of mathematical analysis. | ||||||
| audio 28 | Introduction to Analysis I | N/A | John Eggers | University of California, San Diego | ||
| Introduction to Analysis I covers metric spaces, convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and interchange of limit operations. | ||||||
| mixed 6 | Introduction to Category Theory | Fall 2012 | University of Reddit | |||
| Category theory is a branch of mathematics that was formed to understand how different areas of the discipline relate to one another. | ||||||
| full-course 12 | Introduction to CFD | N/A | Dr. Ugur Guven | UDemy | ||
| This course offers lectures and information on Computational Fluid Dynamics and more. | ||||||
| mixed | Introduction to Compact Operators | N/A | The University of Nottingham | |||
| This is a short session that introduces compact linear operators on Banach spaces. | ||||||
| full-course 10 | Introduction to Computational Finance and Financial Economometrics | Fall 2012 | Eric Zivot | University of Washington | ||
| Take University of Washington's course to learn about the mathematical and statistical tools and techniques used in quantitative and computational finance. | ||||||
| full-course 1 | Introduction to Computational Molecular Biology | Fall 2004 | Ross Lippert | Massachusetts Institute of Technology | ||
| This course uses computational methods to explore the molecular function and structure of cells. | ||||||
| full-course 3 | Introduction to Differential Equations and Linear Algebra | Spring 2008 | M. Tahir Mustafa | KFUPM Open Courseware | ||
| Covers systems of linear equations, first order differential equations, homogeneous differential equations, and non-homogeneous differential equations and systems. | ||||||
| video 5 | Introduction to FORTRAN Programming | N/A | Dr. Ugur Guven | UDemy | ||
| Topics covered in this course include algorithms, flow charts, and more. | ||||||
| full-course | Introduction to Functional Analysis | Spring 2009 | Richard Melrose | Massachusetts Institute of Technology | ||
| This course covers various functions and operators in functional mathematical analysis. | ||||||
| video 10 | Introduction to Graph Theory and Applications | N/A | University of Reddit | |||
| The introduction to graph theory and applications course offers instruction in the theorems related to graphs, such as the Havel-Hakimi theorem. It also considers walks, paths, circuits, cycles, distances, and adjacency matrices. | ||||||
| mixed 12 | Introduction to Group Representations | Summer 2012 | University of Reddit | |||
| This course examines the intersection of group representations and linear algebra. It also looks at number theory, analysis, algebraic geometry, chemistry, and the basic representation theory of finite groups. | ||||||
| full-course 1 | Introduction to Lie Groups | Fall 2004 | Sigurdur Helgason | Massachusetts Institute of Technology | ||
| Drawing from the text Differential Geometry, Lie Groups and Symmetric Spaces by Sigurdur Helgason, this class focuses on the theory of Lie groups and its connection to differential geometry. | ||||||
| mixed 8 | Introduction to mathematical Reasoning | N/A | Saylor | |||
| Primarily, this course's function is to bridge the gap between introductory mathematics in algebra and calculus with more advanced mathematical courses, such as analysis and abstract algebra. | ||||||
| full-course 7 | Introduction to mathematical Thinking | Fall 2012 | Keith Devlin | Stanford University | ||
| How do mathematicians think? Find out how, and how you can think like them, in this course. | ||||||
| full-course | Introduction To MATLAB Programming | Fall 2011 | Yossi Farjoun | Massachusetts Institute of Technology | ||
| This course examines the basics of general and MATLAB | ||||||
| full-course 12 | Introduction to Nuclear Engineering | N/A | Dr. Ugur Guven | UDemy | ||
| Topics covered in this course include basics of nuclear power generation, nuclear theory, and more. | ||||||
| full-course | Introduction to Numerical Analysis | Spring 2012 | Laurent Demanet | Massachusetts Institute of Technology | ||
| The curriculum in this course is centered on basic techniques for efficiency in numerical science and engineering problems and solutions. | ||||||
| full-course 39 | Introduction to Numerical Analysis | Spring 2004 | Alar Toomre | Massachusetts Institute of Technology | ||
| The curriculum in this course is centered on basic techniques for efficiency in numerical science and engineering problems and solutions. | ||||||
| full-course 1 | Introduction to Numerical Methods | Fall 2010 | Steven G. Johnson | Massachusetts Institute of Technology | ||
| This course covers advanced introductory topics in numerical linear algebra. | ||||||
| full-course 24 | Introduction to Partial Differential Equations | Fall 2011 | Jared Speck | Massachusetts Institute of Technology | ||
| This course explores diffusion, elliptic, and hyperbolic as the three main types of partial differential equations. | ||||||
| full-course 23 | Introduction to Partial Differential Equations | Fall 2005 | Tobias Colding | Massachusetts Institute of Technology | ||
| Intended for advanced undergraduate students, this course provides a thorough overview of partial differential equations. | ||||||
| mixed 5 | Introduction to Partial Differential Equations | N/A | Saylor | |||
| This course provides a glimpse into the complex world of partial differential equations. | ||||||
| mixed 35 | Introduction to Probability and Statistics | Fall 2010 | Deborah Nolan | University of California - Berkeley | ||
| This class, which is meant for students who have a background in mathematics, features study in discrete probability, random variables, estimation, and expectation. | ||||||
| full-course 37 | Introduction to Probability and Statistics | Spring 2005 | Dmitry Panchenko | Massachusetts Institute of Technology | ||
| This course provides a basic introduction to practical probability and statistics. | ||||||
| video 34 | Introduction to Probability and Statistics | Fall 2010 | UC Berkeley | |||
| Students with a mathematical background can learn about basic concepts in probability and statistics from this course. | ||||||
| mixed 25 | Introduction to Probability and Statistics | Fall 2011 | Deborah Nolan | University of California - Berkeley | ||
| This course, best-suited for students who have a background in mathematics, covers relative frequencies, random variables, discrete probability, and estimation. | ||||||
| mixed 5 | Introduction to Probability Theory | N/A | Saylor | |||
| Students interested in probability theory, Saylor provides this introductory course. | ||||||
| full-course 1 | Introduction to Probability Theory | N/A | Dr. K. Suresh Kumar | Indian Institute of Technology Bombay | ||
| This course will cover probability space, random variables, distribution functions, and more. | ||||||
| article 7 | Introduction to Random Variables and Random Processes | N/A | Sunghyun Choi | Seoul National University | ||
| Students in this course will explore probability models, long-term averages, random variables and much more. | ||||||
| article 8 | Introduction to Random Variables Processes | N/A | Chang Gyu Lee | Seoul National University | ||
| Students in this introductory class will become familiar with topics like central limit theorem, variance and others, all related to random variable processes. | ||||||
| mixed 1 | Introduction to Real Analysis | Spring 2011 | Dr. Simei Tong | University of Wisconsin-Eau Claire | ||
| Students explore real numbers, introductory topological topics, limits, sequences of numbers, continuity, sequences of functions, and series. | ||||||
| full-course | Introduction to Representation Theory | Fall 2010 | Pavel Etingof | Massachusetts Institute of Technology | ||
| This course provides an introduction of representation theory to undergraduate-level students. | ||||||
| full-course 9 | Introduction to Satellite Communication | N/A | Dr. Ugur Guven | UDemy | ||
| Topics in this course include satellite systems, orbits, signals and more. | ||||||
| audio 39 | Introduction to Statistics | Spring 2012 | Shobhana Soyanov | University of California - Berkeley | ||
| Students in this class study standard measures of location, population and variables, regression, binomial distribution, and other fundamental concepts of statistics. | ||||||
| mixed 29 | Introduction to Statistics | Fall 2009 | Fletcher Ibser | University of California - Berkeley | ||
| This introductory course covers standard measures of location, spread, and and association; regression; probability and sampling; and more. A video version of this course is also offered through iTunes. | ||||||
| audio 40 | Introduction to Statistics | Fall 2012 | Fletcher Ibser | University of California - Berkeley | ||
| Standard measures of location, spread, and association; normal approximation; population and variables; and binomial distribution are covered in this course. | ||||||
| full-course 7 | Introduction to Statistics | N/A | Sebastian Thrun and Adam Sherwin | Udacity | ||
| Introduction to statistics explores how we can make decisions based on data. | ||||||
| mixed 6 | Introduction to Statistics | N/A | Saylor | |||
| Supplemented with video lectures from the Khan Academy, this course gives students a comprehensive introduction to statistics. | ||||||
| audio 28 | Introduction to Statistics | Fall 2009 | Fletcher H Ibser | UC Berkeley | ||
| Brush up on statistics with this introductory course from UC Berkeley. | ||||||
| audio 38 | Introduction to Statistics | Soring 2009 | Jason Rosenberry | Harrisburg Area Community | ||
| Topics include describing and summarizing data both graphically and numerically, probability, various distributions, parametric estimation and tests of significance, and exploration of bivariate data. | ||||||
| audio 18 | Introduction to Statistics | N/A | Evan E | University of California, San Diego | ||
| Students in this class will be introduced to experimental method in psychology and to mathematical techniques necessary for experimental research. | ||||||
| full-course 6 | Introduction to Statistics | N/A | Saylor | |||
| Students interested in statistics can take this complete course from Saylor, which provides video and text instruction materials, assignments, and more. | ||||||
| full-course 1 | Introduction to Statistics: Descriptive Statistics | Spring 2013 | Ani Adhikari | Berkeleyx | ||
| This is an introductory statistics course that focuses on descriptive statistics, which presents numerical information in a useful way. | ||||||
| full-course 15 | Introduction to Topology | Fall 2004 | James Munkres | Massachusetts Institute of Technology | ||
| This course explores various introductory topics in topology, including fundamental to modern analysis and geometry. | ||||||
| audio 4 | Introduction to Trigonometry - Mathematics | Fall 2011 | Jodie Broussard | Florida State College | ||
| Jodie Broussard provides an introduction to trigonometry in this course from Florida State College at Jacksonville. | ||||||
| audio 40 | Introductory Probability and Statistics for Business | Spring 2012 | Fletcher Ibser | University of California - Berkeley | ||
| This course features study in descriptive statistics, probability models, estimates, sample surveys, tests of significance, and more. | ||||||
| video 25 | Introductory Probability and Statistics for Business | Fall 2009 | Philip Stark | UC Berkeley | ||
| Study probability and statistics in the context articles of business with Philip Stark's course. | ||||||
| video 8 | Inventory Control Concepts for Managers | N/A | Girijesh Pathak | UDemy | ||
| This course covers basic inventory control for managers. | ||||||
| mixed 11 | Labor Economics | N/A | Saylor | |||
| This course educates students on building a good theory of the labor market, including empirical implications that can be tested with real world data. | ||||||
| article 4 | Linear Algebra | N/A | Saylor | |||
| Linear Algebra is taught over the course of four units through Saylor in an all-text format that gives students the materials necessary to become practiced in the subject. | ||||||
| audio 28 | Linear Algebra | N/A | Mir Mirjalalieh Shiraz | University of California, San Diego | ||
| This math class covers vector spaces as well as linear mappings between such spaces. | ||||||
| full-course 40 | Linear Algebra | Spring 2010 | Gilbert Strang | Massachusetts Institute of Technology | ||
| This course covers the basics of matrix theory and linear algebra. | ||||||
| video 13 | Linear Algebra | Fall 2012 | University of Reddit | |||
| Students in this class learn how to solve linear equations, how to simplify problems to have linear characteristics, and understand basis, span, and kernel. The course also examines matrices and vectors. | ||||||
| audio 28 | Linear Algebra | Fall 2012 | Todd Kemp | UC San Diego | ||
| In this course, students learn about matrix algebra, Gaussian elimination, determinants, linear and affine subspaces, and more. | ||||||
| video 144 | Linear Algebra | Summer 2008 | The Khan Academy | |||
| Linear algebra introduces students to the basic concepts of matrices, transformations, vectors, and vector spaces. | ||||||
| full-course 38 | Linear Algebra | Fall 2005 | Dan Ciubotaru | Massachusetts Institute of Technology | ||
| Students in this course are presented with a thorough exploration of linear algebra, concentrating on theory and proofs. | ||||||
| video 35 | Linear Algebra | Summer 2009 | Gilbert Strang | MIT | ||
| This course offers students basic instruction in matrix theory and linear algebra. Topics covered include vector spaces, determinants, eigenvalues, matrices, and systems of equations. | ||||||
| full-course 45 | Linear Algebra | N/A | Junaid Zaidi | Virtual University of Pakistan | ||
| Students in this course will learn about matrix theory and linear algebra. | ||||||
| full-course | Linear Algebra | Fall 2011 | Gilbert Strang | Massachusetts Institute of Technology | ||
| In this course students learn about matrix theory and linear algebra. | ||||||
| full-course 40 | Linear Algebra | Spring 2010 | Gilbert Strang | MIT | ||
| In this course, you can learn about the basics of matrix theory and linear algebra, with emphasis on topics that are useful beyond algebra, including vector spaces, systems of equations, and determinants. | ||||||
| audio 23 | Linear Algebra | Fall 2011 | Mariana Montiel | Georgia State University | ||
| This course from Georgia State University covers the theory and applications of matrix algebra, vector spaces, and linear transformations. | ||||||
| full-course 14 | Linear Algebra - Communications Intensive | Spring 2004 | Andrew Brooke-Taylor (Teaching Assistant), Anna Lachowska | Massachusetts Institute of Technology | ||
| Intended as a supplement to linear algebra, this course provides a communications-based intensive study in the subject. | ||||||
| mixed 4 | Linear Algebra II | N/A | Saylor | |||
| Students taking this course will gain a deeper understanding of the principles of linear algebra. | ||||||
| full-course 7 | Linear and Discrete Optimization | Spring 2013 | Friedrich Eisenbrand | Ecole Polytechnique Federale De Laussane | ||
| See how computational mathematics, and linear and discrete optimization in particular, have a wide range of applications in everyday life with this course. | ||||||
| full-course | Linear Partial Differential Equations | Fall 2006 | Matthew Hancock | Massachusetts Institute of Technology | ||
| This course covers classical partial differential equations of applied mathematics. | ||||||
| full-course 37 | Linear Partial Differential Equations: Analysis and Numerics | Fall 2010 | Steven G. Johnson | Massachusetts Institute of Technology | ||
| This course explains the basic analytical and computational tools of linear partial differential equations for practical use. | ||||||
| mixed 40 | Linear Programming And Extensions | N/A | Prabha Sharma | National Programme on Technology Enhanced Learning | ||
| Topics in this course include optimization, linear programming and more. | ||||||
| full-course 1 | Linear Programming and Extensions | N/A | Prabha Sharma | Indian Institute of Technology Kanpur | ||
| This course will cover the simplex algorithm, the duality theory, the Ellipsoid algorithm, and more. | ||||||
| audio 26 | Longitudinal Data Analysis | Spring 2010 | Nicholas Jewell | University of California - Berkeley | ||
| Longitudinal data analysis covers the statistical issues that come along with estimating the effects of using data on subjects over time. | ||||||
| audio 1 | Math and Graphing | Spring 2008 | Broome Community College | |||
| Learn how to graph linear equations. | ||||||
| full-course 3 | Math Everywhere | N/A | The Open University | |||
| Take this course to understand the reasons for studying mathematics, with practical applications of mathematical ideas. | ||||||
| mixed 6 | math for Economists | N/A | Saylor | |||
| Students in this course will gain a repertoire of skills and techniques to solve fundamental problems in microeconomics and macroeconomics. | ||||||
| full-course 20 | math is Everywhere: Applications of Finite math | N/A | Tim Chartier | UDemy | ||
| A study into everyday use and applications which will show how math is in everyday life. | ||||||
| mixed 5 | Math Support for Calculus | N/A | Athabasca University | |||
| Students in this course use modules to learn calculus. | ||||||
| video 38 | mathematical Analysis | Spring 2011 | Joel Feinstein | University of Nottingham | ||
| mathematical analysis, offered by the University of Nottingham, introduces students to limits and continuity of functions between Euclidean spaces, interior and non-interior points, closed sets, and functions. | ||||||
| article | Mathematical Analysis | 2009 | The University of Nottingham | |||
| This course covers mathematical analysis starting from limits of sequences and calculus. | ||||||
| full-course 7 | Mathematical Biostatistics Boot Camp | N/A | Brian Caffo | Johns Hopkins University | ||
| Study the fundamental probability and statistical concepts used in elementary data analysis with this boot camp course. | ||||||
| audio 17 | Mathematical Economics | N/A | Ross Starr | University of California, San Diego | ||
| Students in this course will learn how to use mathematical theories and practices to solve, understand and explain common economic issues. | ||||||
| full-course 15 | Mathematical Exposition | Spring 2005 | Emma Carberry | Massachusetts Institute of Technology | ||
| This course teaches students how to effectively present mathematical material. | ||||||
| video 1 | Mathematical Logic | N/A | Arindama Singh | Indian Institute of Technology Madras | ||
| Students will learn about propositional logic, proof systems, first order logic, and more. | ||||||
| video 42 | Mathematical Logic | N/A | Arindama Singh | NPTEL | ||
| Study mathematical logic in this course, covering sets and strings, unique parsing, and more. | ||||||
| mixed 3 | mathematical Logic and Theory of Computation | N/A | Saylor | |||
| This course discusses the principles and application of mathematical logic and the theory of computation. | ||||||
| full-course 13 | Mathematical Methods for Engineers II | Spring 2006 | Gilbert Strang | Massachusetts Institute of Technology | ||
| Intended to follow Mathematical Methods for Engineers I, this graduate-level course explores numerical methods, initial-value problems, network flows, and optimization. | ||||||
| article 1 | Mathematical Methods in Nanophotonics | Spring 2008 | Steven G. Johnson | Massachusetts Institute of Technology | ||
| In this class, students will explore the physical and mathematical components of nanophotonics. | ||||||
| full-course 1 | Mathematical Statistics | Spring 2003 | Richard Dudley | Massachusetts Institute of Technology | ||
| Students will learn about decision theory, estimation, confidence intervals, hypothesis testing, and sample theory in this course, which is based on a book by the professor, Richard Dudley. | ||||||
| video 97 | Mathematics | N/A | NPTEL | |||
| Watch as professionals explain various mathematical theories and concepts, like Cauchy's Integral Formula and Fourier Series. | ||||||
| audio 35 | Mathematics - Elementary Algebra | Spring 2011 | Brenda Wood | Florida State College | ||
| Florida State College at Jacksonville offers instructional videos for elementary algebra students. | ||||||
| audio 34 | Mathematics - Intermediate Algebra | Spring 2011 | Brenda Wood | Florida State College | ||
| Florida State College at Jacksonville offers instructional videos for intermediate algebra students. | ||||||
| mixed 38 | Mathematics 16A, 001 | Fall 2011 | Benjamin E. Johnson | UC Berkeley | ||
| Derivatives, definite integrals and applications, and maxima and minima are all topics covered in this course. | ||||||
| mixed 24 | Mathematics 16A, 002 | Fall 2011 | Benjamin E. Johnson | UC Berkeley | ||
| A continuation to Mathematics 16 A, analytic geometry and calculus are covered in this course. | ||||||
| mixed 27 | Mathematics 16B, 001 | Fall 2011 | Thomas Scanlon | UC Berkeley | ||
| This is a continuation of Mathematics 16A. | ||||||
| audio 37 | Mathematics 1B, 002 | Spring 2010 | Per-Olof Persson | UC Berkeley | ||
| This is a calculus course. | ||||||
| full-course 1 | Mathematics 265: Introduction to Calculus I | Fall 2009 | Maria L. Torres, Ph.D. | Athabasca University | ||
| This course is an introduction to concepts in calculus. | ||||||
| mixed 28 | Mathematics 3A - Lec 1 | Fall 2012 | Will Conley | UCLA | ||
| A series of lectures on calculus as applied to life sciences. | ||||||
| mixed 26 | Mathematics 3A - Lec 2 | Fall 2012 | Will Conley | UCLA | ||
| A series of lectures on calculus as applied to life sciences, continued. | ||||||
| mixed 27 | Mathematics 3C | Fall 2012 | Ameera Chowdhury | UCLA | ||
| A series of lectures on probability as applied to life sciences. | ||||||
| mixed 25 | Mathematics 53, 001 | Fall 2009 | Edward Frenkel | UC Berkeley | ||
| Learn the fundamentals of mathematics with this course. | ||||||
| video 25 | Mathematics 53, 001 | Fall 2009 | Edward Frenkel | UC Berkeley | ||
| The topic of this course is to study multivariable calculus. | ||||||
| full-course 1 | Mathematics I | N/A | Inder K. Rana | Indian Institute of Technology Bombay | ||
| This course introduces students to the concepts of real numbers, functions, sequences, and limit theorems. | ||||||
| video 1 | Mathematics I | N/A | Dr. P. Shunmugaraj | Indian Institute of Technology Kanpur | ||
| This course covers vector calculus and calculus of functions with one and multiple variables. | ||||||
| video 1 | Mathematics II | N/A | Dr. Tanuja Srivastava | Indian Institute of Technology Roorkee | ||
| Topics covered in this course include matrix algebra, linear transformation, and Taylor series. | ||||||
| article 1 | Mathematics II | N/A | Indian Institute of Technology Kanpur | |||
| Topics covered in this course include matrices and systems of linear equations, finite dimensional vector spaces, and inner product spaces. | ||||||
| full-course 1 | Mathematics III | N/A | Dr. M. Guru Prem Prasad | Indian Institute of Technology Guwahati | ||
| Students in this course will learn about complex numbers and algebra, powers and roots of complex numbers, and complex functions. | ||||||
| video 1 | Mathematics III | N/A | Dr. Tanuja Srivastava | Indian Institute of Technology Roorkee | ||
| Students in this course will learn about complex numbers and algebra, powers and roots of complex numbers, and complex functions via video lectures. | ||||||
| full-course 1 | Mathematics Upper-Secondary 4 - Distributions and Integration | N/A | XSIQ | |||
| This class is designed for students preparing for an exam and need to strengthen their understanding of advanced mathematical concepts, like distribution and integration in mathematics. | ||||||
| full-course 24 | Measure and Integration | Fall 2003 | Jeff Viaclovsky | Massachusetts Institute of Technology | ||
| In this graduate-level course students are introduced to Lebesgue's integration theory, as well as convolution and the Fourier transform. | ||||||
| full-course 1 | Measure and Integration | N/A | Inder K. Rana | Indian Institute of Technology Bombay | ||
| Students in this course will be introduced to the theory of measure and integration. | ||||||
| audio 20 | Mechanics II- Dynamics | N/A | Yael Van Den Einde | University of California, San Diego | ||
| This mechanics course focuses on dynamics, a study that is closely related to and often combined with statistics. | ||||||
| video 10 | Modern Algebra | Fall 2012 | University of Reddit | |||
| The University of Reddit's modern algebra course covers binary operations, groups, permutations, orbits and cycles, Lagrange's theorem, direct products, and more. | ||||||
| mixed 6 | Money, Banking, And Financial Markets | N/A | Saylor | |||
| The six units of this course will provide students with a thorough understanding of the significance of banking, money, and financial markets of a developed economy. | ||||||
| video 25 | Multivariable Calculus | Fall 2009 | Edward Frenkel | UC Berkeley | ||
| This course covers vector calculus, vectors and matrices, and partial derivatives. | ||||||
| video 25 | Multivariable Calculus | Fall 2009 | Edward Frenkel | University of California - Berkeley | ||
| This course examines parametric equations, polar coordinates, vectors in Euclidean spaces, partial derivatives, and Green, Gauss, and Stokes theorems. | ||||||
| mixed 25 | Multivariable Calculus | Fall 2009 | Edward Frenkel | University of California - Berkeley | ||
| Students in this class learn about vectors in two- and three-dimensional Euclidean spaces, partial derivatives, vector calculus, and more. A video version of this class is also available. | ||||||
| mixed 25 | Multivariable Calculus | Fall 2009 | Edward Frankel | University of California Berkeley | ||
| This course is intended for Calculus students. | ||||||
| video 35 | Multivariable Calculus | Spring 2009 | Various | MIT | ||
| This multivariable calculus course features instruction in partial derivatives, double and triple integrals, vectors and matrices, and vector calculus. | ||||||
| full-course 4 | Multivariable Calculus | Fall 2010 | Denis Auroux | Massachusetts Institute of Technology | ||
| In this course students explore differential, integral and vector calculus for multi-variable functions. | ||||||
| full-course 36 | Multivariable Calculus | Fall 2007 | Denis Auroux | Massachusetts Institute of Technology | ||
| In this course students explore differential, integral and vector calculus for multi-variable functions. | ||||||
| full-course 35 | Multivariable Calculus | Spring 2006 | David Jerison, Arthur Mattuck | Massachusetts Institute of Technology | ||
| In this course students explore differential, integral and vector calculus for multi-variable functions. | ||||||
| mixed 4 | Multivariable Calculus | N/A | Saylor | |||
| Students will quickly become familiar with multivariable calculus with this four-unit course. | ||||||
| full-course 4 | Multivariable Calculus | Fall 2010 | Denis Auroux | MIT | ||
| Multivariable Calculus discusses differential, integral, and vector calculus for functions of more than one variable. | ||||||
| full-course 40 | Multivariable Calculus with Theory | Spring 2011 | Christine Breiner | Massachusetts Institute of Technology | ||
| This is the second in a two-part course in multivariable calculus, but with added emphasis on reasoning and understanding of proofs. | ||||||
| full-course 1 | Nonlinear Dynamics and Chaos | Fall 2004 | Rodolfo R. Rosales | Massachusetts Institute of Technology | ||
| This class uses demonstration software to illustrate nonlinear dynamics with applications. | ||||||
| article 8 | Nonlinear Programs | N/A | Sung-Pil Hong | Seoul National University | ||
| This course exposes students to the skills and concepts necessary to recognize, formulate and solve nonlinear programs. | ||||||
| article 1 | Number Theory | N/A | Dr. Anupam Saikia | Indian Institute of Technology Guwahati | ||
| This course will discuss number theory as it relates to Euclid's algorithm, linear Diophantine, and more. | ||||||
| mixed 28 | Numerical Analysis | Fall 2012 | Per-Olof Persson | University of California - Berkeley | ||
| This course covers programming for numerical calculations, approximation and interpolation, round-off error, and solution of ordinary differential equations. | ||||||
| full-course 45 | Numerical Analysis | N/A | Junaid Zaidi | Virtual University of Pakistan | ||
| Students in this course will learn the numerical methods needed to numerical analysis problems. | ||||||
| mixed 5 | Numerical Analysis | N/A | Saylor | |||
| Saylor designed this course in Numerical Analysis to teach students the practice of solving problems involving continuous variables. | ||||||
| mixed 26 | Numerical Analysis (Introduction) | N/A | Memrise | |||
| An introductory overview of numerical analysis containing undergraduate-level information. | ||||||
| video 1 | Numerical Methods and Computation | N/A | S.R.K. Iyengar | Indian Institute of Technology Delhi | ||
| Students in this course will learn solutions to nonlinear algebraic equations and study interpolation and approximation. | ||||||
| full-course 1 | Numerical Methods for Partial Differential Equations | Spring 2009 | Benjamin Seibold | Massachusetts Institute of Technology | ||
| This course discusses fundamental ideas behind numerical methods for solving partial differential equations. | ||||||
| article 19 | Numerical Methods for Partial Differential Equations | N/A | Jacob White, Jaime Peraire, Anthony Patera, Boo Cheong Khoo | MIT | ||
| This course covers a wide range of topics related to numerical methods for partial differential equations, including mathematical formulations, boundary element discretizations, and finite element discretizations. | ||||||
| mixed 10 | Numerical Solution Of ODEs | N/A | Mohan K. Kadalbajoo | National Programme on Technology Enhanced Learning | ||
| Topics in this course include multistep methods, linear systems, values and more. | ||||||
| full-course 1 | Numerical Solution of ODEs | N/A | M.K. Kadalbajoo | Indian Institute of Technology Kanpur | ||
| This course will cover single step methods, multistep methods, and hybrid methods for initial value problems as well as other related topics. | ||||||
| article 1 | Numerical Solution of Ordinary and Partial Differential Equations | N/A | Rama Bhargava & Sunita Gakkhar | Indian Institute of Technology Roorkee | ||
| This course will cover ordinary and partial differential equations. | ||||||
| mixed 5 | OER - Learning Objects | N/A | Athabasca University | |||
| This course provides tutorials for solving beginner calculus problems. | ||||||
| full-course 45 | Operations Research | N/A | Junaid Zaidi | Virtual University of Pakistan | ||
| This class presents the principles and techniques for solving problems in the industry using mathematical models. | ||||||
| full-course 1 | Parallel Computing | Fall 2011 | Alan Edelman | Massachusetts Institute of Technology | ||
| This course provides hands-on instruction to using modern supercomputers for applied parallel computing. | ||||||
| video 26 | Physics 210 | Fall 2009 | Robert Riggs | University of Missouri-Kansas City | ||
| This entry-level physics course covers measurement, velocity, displacement, distance and acceleration, kinematic equations, vector addition, and projectile motion. | ||||||
| video 19 | Physics 220 | Summer 2009 | University of Missouri-Kansas City | |||
| This course features instruction in electromagnetic waves, magnetism, electricity, optics, special relativity, and quantum mechanics. | ||||||
| video 52 | Physics 240 | Spring 2010 | Jerzy Wrobel | University of Missouri-Kansas City | ||
| This course, known as Physics for science and Engineering, discusses the properties of scalar quantities, time, distance, mass, and vectors. | ||||||
| video 51 | Physics 250 | Fall 2009 | Jerzy Wrobel | University of Missouri-Kansas City | ||
| Physics 250 introduces students to the concepts of electrostatic interaction, electric field vectors, Gauss' Law and Coulomb's Law, and systems of capacitors. | ||||||
| full-course 1 | Pre-Algebra Mathematics | N/A | Math Planet | |||
| This review class geared toward high school students covers mathematical concepts like graphs, integers, percent, probabilities, and some geometry. | ||||||
| full-course 10 | Pre-Calculus | Spring 2013 | Sarah Eichhorn and Rachel Cohen Lehman | UC Irvine | ||
| Get ready for the study of single variable calculus with this pre-calculus course. | ||||||
| audio 1 | Pre-Calculus | Spring 2010 | Selwyn Hollis | Armstrong Atlantic State University | ||
| This pre-calculus course covers separable differential equations and applications. | ||||||
| audio 25 | Pre-Calculus MAC 2147 | Fall 2011 | Rosenthal | Florida International University | ||
| Areas of study in this calculus course from Florida International University include lines, circles, and functions; reflections, compressions, and stretching; quadratic functions; and more. | ||||||
| mixed 11 | Precalculus | N/A | Education Portal | |||
| Precalculus covers functions, exponentials and logarithms, matrices and absolute value, inequalities, linear equations, and continuity. | ||||||
| audio 24 | Precalculus | Spring 2012 | Marcus Szwankowski | Front Range Community College | ||
| This course from Front Range Community College covers higher level problems in college level algebra. | ||||||
| audio 15 | Precalculus | Fall 2008 | Jeri Fairman | Jefferson Community College | ||
| Topics covered in this course from Jefferson Community College include functions, vertical line test, and increasing and decreasing functions. | ||||||
| full-course 4 | Precalculus Algebra | Spring 2013 | John Lorch | Ball State University | ||
| In this class, students will develop the command of algebra concept needed to succeed in a calculus course. | ||||||
| audio 175 | Precalculus and Elements of Calculus | Fall 2012 | CUNY - Baruch College | |||
| Learn how to solve various precalculus and calculus problems. | ||||||
| mixed 4 | Precalculus II | N/A | Saylor | |||
| Developed in partnership with the Washington State Board for Community and Technical Colleges and featuring videos from the Khan Academy, this course gives students a much deeper look at precalculus. | ||||||
| full-course 13 | Precalculus Mathematics | Spring 2009 | Frank Harris | Capilano University | ||
| Students are taught foundational calculus concepts in preparation for introductory calculus. | ||||||
| full-course 15 | Precalculus Mathematics for Business and Social Sciences | Fall 2007 | Chris Morgan | Capilano University | ||
| Students are introduced to such precalculus topics as graphs, trigonometry, logarithms, and the like. | ||||||
| full-course 1 | Prices | N/A | The Open University | |||
| In this unit, you'll get a basic economic understanding of prices, in terms of price indices including the Retail Price Index and the Consumer Price Index. | ||||||
| full-course 30 | Principles of Applied Mathematics | Fall 2007 | Peter Shor, Daniel Kleitman | Massachusetts Institute of Technology | ||
| Students in this course will explore various illustrative topics in discrete applied mathematics. | ||||||
| full-course 15 | Principles of Applied Mathematics | Spring 2009 | Aslan Kasimov | Massachusetts Institute of Technology | ||
| This course explores how to mathematically analyze the continuum models of a variety of natural phenomena. | ||||||
| audio 55 | Principles of Mathematics | Fall 2012 | Susan Cooper-Nguyen | Harrisburg Area Community | ||
| This survey course covers a wide range of mathematical topics, including modern algebra, geometry, fundamentals of logic and sets, and statistics. | ||||||
| video 41 | Probability | Fall 2011 | The Khan Academy | |||
| This course, offered by The Khan Academy, covers the basic concepts of probability. Topics covered in this course include compound probability, frequency probability, frequency stability, and binomial distribution. | ||||||
| video 25 | Probability | N/A | Khan Academy | |||
| This course covers basic probability; students should already have a experience in basic algebra. | ||||||
| audio 50 | Probability | Fall 2006 | Joe Blitzstein | Harvard University | ||
| Take this course to find lecture videos, review materials and more than 250 practice problems (with solutions) on probability from Harvard. | ||||||
| full-course 1 | Probability and Chance in Mathematics | N/A | XSIQ | |||
| This is a useful exam prep course that discusses the mathematical applications behind the calculation of probability. | ||||||
| full-course 40 | Probability and Random Variables | Spring 2011 | Scott Sheffield | Massachusetts Institute of Technology | ||
| Students are introduced to probability and random variables in this course. | ||||||
| mixed 40 | Probability And Statistics | N/A | Somesh Kumar | National Programme on Technology Enhanced Learning | ||
| Topics in this course include algebra of sets, introduction to probability, random variables, and probability distributions. | ||||||
| mixed 4 | Probability and Statistics | N/A | Carnegie Melon University | |||
| This course gives students an introduction to tbe basic logic and concepts of statistical reasoning. | ||||||
| full-course 1 | Probability and Statistics | N/A | Somesh Kumar | Indian Institute of Technology Kharagpur | ||
| This is an introductory course to the terms and rules of probability and statistics. | ||||||
| video 28 | Probability for Math Science | N/A | UCLA | |||
| Designed for life science majors, this course covers elementary probability, probability distributions, random variables, and limit theorems. | ||||||
| article 22 | Probability, Random Variables, and Random Processes | N/A | Taejeong Kim | Seoul National University | ||
| This course covers various probability topics such as discrete random variables, random vectors and sequences. | ||||||
| full-course 12 | Problem Solving Seminar | Fall 2007 | Hartley Rogers, Kiran Kedlaya, Richard Stanley | Massachusetts Institute of Technology | ||
| In this undergraduate seminar course, students explore various techniques for mathematical problem-solving. | ||||||
| full-course 10 | Prospect Course | N/A | Eric Nepomuceno | UDemy | ||
| This course covers topics including regulations, professionalism, and contracts. | ||||||
| mixed 6 | Public Finance | N/A | Saylor | |||
| The public finance course from Saylor focuses on the origins of public finance, which is between public economics and public choice. | ||||||
| video 6 | Pure mathematics | Summer 2008 | The Open University | |||
| This six-lecture course covers essential mathematics concepts that are applicable to many situations or occupations. | ||||||
| full-course 1 | Quantitative Reasoning | Spring 2012 | Mark Pawlak | University of Massachusetts - Boston | ||
| Quantitative Reasoning covers the basic algebra and technological tools used in the social and physical sciences. | ||||||
| full-course 1 | Quantum Computation | Fall 2003 | Peter Shor | Massachusetts Institute of Technology | ||
| In this class, students will discuss basic theories in quantum computation for practical application. | ||||||
| video 9 | Quantum Entanglements: Part 1 | Fall 2006 | Leonard Susskind | Stanford University | ||
| The purpose of this course is for students to explore quantum entanglements in modern theoretical physics. | ||||||
| full-course 1 | Quantum Information Science | Spring 2006 | Isaac Chuang | MIT | ||
| This course is for advanced graduates and educates on quantum computation and quantum information, which requires prior knowledge of quantum mechanics. | ||||||
| full-course 1 | Random Matrix Theory and Its Applications | Spring 2004 | Moe Win | Massachusetts Institute of Technology | ||
| This class explores engineering and scientific applications in basic random matrix theory. | ||||||
| article 1 | Random Walks and Diffusion | Fall 2006 | Martin Bazant | Massachusetts Institute of Technology | ||
| This class discusses various application in random walks and diffusion. | ||||||
| full-course 1 | Real Analysis | Fall 2012 | Paul Seidel | Massachusetts Institute of Technology |
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| Students will learn about the fundamentals of mathematical analysis in this course, covering topics such as convergence of sequences and series, continuity, and differentiability. | ||||||
| mixed 5 | Real Analysis I | N/A | Saylor | |||
| Students will be given a thorough introduction to the analysis of real numbers. | ||||||
| mixed 8 | Real Analysis II | N/A | Saylor | |||
| Saylor's second course in real analysis takes the study of real numbers to a greater, more complex level. | ||||||
| video 1 | Regression Analysis | N/A | Dr. Soumen Maity | Indian Institute of Technology Kharagpur | ||
| Students in this course will learn about simple linear regression, multiple linear regression, model adequacy checking, and more. | ||||||
| full-course 26 | Seminar in Algebra and Number Theory: Computational Commutative Algebra and Algebraic Geometry | Fall 2008 | Steven Kleiman | Massachusetts Institute of Technology | ||
| Topics in this undergraduate-level student-led seminar course may include computational algebra and algebraic geometry. | ||||||
| full-course 36 | Seminar in Algebra and Number Theory: Rational Points on Elliptic Curves | Fall 2004 | Daniel Rogalski | Massachusetts Institute of Technology | ||
| Students present a variety of topics in algebra and number theory in this seminar class led by math majors. | ||||||
| full-course 24 | Seminar in Analysis: Applications to Number Theory | Fall 2006 | Dan Ciubotaru | Massachusetts Institute of Technology | ||
| Undergraduate math majors in this seminar course integrate current journals and books into group discussions on analysis. | ||||||
| full-course 26 | Seminar in Geometry | Fall 2004 | Emma Carberry | Massachusetts Institute of Technology | ||
| Students take turns giving lectures on Robert Osserman's classic book A Survey of Minimal Surfaces in this course. | ||||||
| full-course 39 | Seminar in Topology | Spring 2011 | Andrew Snowden | Massachusetts Institute of Technology | ||
| Students in this seminar are introduced to topology, covering topics including fundamental group, homology, and cohomology in mathematical terms. | ||||||
| full-course 1 | Sequences, Series and Equations in Mathematics | N/A | XSIQ | |||
| In this upper-level math course, students skills in various mathematical applications like, graphs, ratios, geometry, trigonometry, and more. | ||||||
| full-course 15 | Sets, Counting, and Probability | N/A | Paul G. Bamberg | Harvard Extension School | ||
| Develop the mathematics necessary to create probability models with this course from Harvard University. | ||||||
| full-course 1 | Simplicity Theory | Spring 2004 | Itay Ben-Yaacov | Massachusetts Institute of Technology | ||
| This course explores major concepts in the study of simple theories. | ||||||
| full-course 5 | Single Variable Calculus | Fall 2010 | David Jerison | Massachusetts Institute of Technology | ||
| Students in this course study differentiation and integration of one-variable functions, and also touches on the infinite series. | ||||||
| full-course 38 | Single Variable Calculus | Fall 2006 | David Jerison | Massachusetts Institute of Technology | ||
| Students in this course study differentiation and integration of one-variable functions, and also touches on the infinite series. | ||||||
| full-course 32 | Single Variable Calculus | Fall 2005 | Jason Starr | MIT | ||
| Single Variable Calculus offers an introduction to calculus, with differentiation and integration of functions of one variable. | ||||||
| article 7 | Single-Variable Calculus I | N/A | Saylor | |||
| Calculus I course provided by Saylor gives students materials and assignments to gain a thorough understanding of single-variable calculus. | ||||||
| video 35 | Singlevariable Calculus | Fall 2009 | MIT | |||
| This class includes course work in differentiation and integration of functions, limits, derivatives, rate of change, implicit differentiation, and more. | ||||||
| audio 14 | Sirius Intermediate Algebra | Spring 2011 | Florida State College | |||
| This video podcast series discusses topics in the Sirius Intermediate Algebra textbook. | ||||||
| audio 40 | Statistical Inferences for Social and Life Sciences | Fall 2010 | Fletcher Ibser | University of California - Berkeley | ||
| This course features an introduction to probability and covers hypothesis testing, linear estimation, and normal regression theory. | ||||||
| full-course 4 | Statistical Reasoning | N/A | Carnegie Mellon University | |||
| Statistical Reasoning from Carnegie Mellon University introduces students to the basic concepts and logic of statistical reasoning. | ||||||
| audio 91 | Statistical Reasoning I | N/A | John McGready | Johns Hopkins University | ||
| Take this course to find a broad overview of biostatistical methods and concepts for public health sciences. | ||||||
| video 124 | Statistics | Summer 2010 | American Public University | |||
| American Public University's statistics course features instruction in binomial probability distribution and calculation, mean and standard deviation, central limit theorem, Chi-Square tests, and more. | ||||||
| video 25 | Statistics | Summer 2011 | Philip Stark | UC Berkeley | ||
| This course covers probability and the fundamental concepts of statistics for business majors. | ||||||
| video 70 | Statistics | Spring 2009 | The Khan Academy | |||
| This statistics course provides study in the basic concepts of the discipline and is roughly equivalent to a first-year course. It covers variance, averages, binomial distribution, and expected value. | ||||||
| full-course 1 | Statistics | N/A | Sean Laraway | San Jose State University | ||
| In this class, students will learn statistics principles that can be used in everyday situations. | ||||||
| audio 86 | Statistics | N/A | HEC Paris | |||
| Learn basic notions and methods in statistics. | ||||||
| audio 41 | Statistics 131A, 001 | Fall 2010 | Fletcher H Ibser | UC Berkeley | ||
| This course is typically about statistical inferences and geared for social and life scientists. | ||||||
| audio 39 | Statistics 133, 001 | Fall 2012 | Fletcher H Ibser | UC Berkeley | ||
| This course is an introductory course to computationally intensive applied statistics. | ||||||
| audio 37 | Statistics 2, 001 | Spring 2012 | Shobhana Stoyanov | UC Berkeley | ||
| Topics in this course include standard measures of location, spread and association. | ||||||
| audio 40 | Statistics 2, 001 | Fall 2012 | Fletcher H Ibser | UC Berkeley | ||
| Population and variables, standard measures of location, spread and association, and regression are all topics of this course. | ||||||
| mixed 35 | Statistics 20,003 | Fall 2010 | Deborah Nolan | UC Berkeley | ||
| This is an introductory math course with main focuses on probability and statistics. | ||||||
| audio 39 | Statistics 21, 001 | Fall 2010 | Fletcher H Ibser | UC Berkeley | ||
| This course is basic and introductory probability and statistics for business. | ||||||
| audio 40 | Statistics 21, 001 | Spring 2012 | Fletcher H Ibser | UC Berkeley | ||
| This course covers Introductory Probability and Statistics for Business with topics including descriptive statistics, probability models and related concepts, sample surveys, estimates and more. | ||||||
| video 25 | Statistics 21, 001 | Spring 2010 | UC Berkeley | |||
| Some of the topics covered in this math course include descriptive statistics, probability models and related concepts, sample surveys, estimates, confidence intervals, tests of significance and more. | ||||||
| full-course 45 | Statistics and Probability | N/A | Saleha Naghmi | Virtual University of Pakistan | ||
| This course introduces various methods and procedures of collecting, organizing, summarizing, presenting, and analyzing data. | ||||||
| full-course 38 | Statistics for Applications | Spring 2009 | Richard Dudley | Massachusetts Institute of Technology | ||
| This course presents a broad interpretation of statistics, with a focus on science and industry statistical techniques. | ||||||
| full-course 22 | Statistics for Applications | Fall 2006 | Dmitry Panchenko | Massachusetts Institute of Technology | ||
| This course presents a broad interpretation of statistics, with a focus on science and industry statistical techniques. | ||||||
| full-course 32 | Statistics for Applications | Fall 2003 | Dmitry Panchenko | Massachusetts Institute of Technology | ||
| This course presents a broad interpretation of statistics, with a focus on science and industry statistical techniques. | ||||||
| article 17 | Statistics for Civil & Environmental Engineers | N/A | Young-Oh Kim | Seoul National University | ||
| In this course, students will use data analysis, probability models, and risk and reliability practices to formulate hypotheses and predictions for various scenarios/situations. | ||||||
| mixed 6 | Statistics II | N/A | Saylor | |||
| This course teaches students to use the statistical tools and techniques used by modern statisticians. | ||||||
| full-course 1 | Statistics, Correlation and Regression in Mathematics | N/A | XSIQ | |||
| This is an upper-level course that can be used as a review for math students preparing for examinations, which covers advance mathematical analysis concepts. | ||||||
| full-course | Statistics: Making Sense of Data | N/A | Alison Gibbs and Jeffrey Rosenthal | University of Toronto | ||
| In this class from the University of Toronto, students will develop a thorough understanding of and skills in statistical analysis and data collection. | ||||||
| full-course 23 | Stats for Behavioral Sciences | N/A | Elizabeth A. Bauer | New York University | ||
| Learn to understand and analyze data collected in psychology and other social sciences research studies. | ||||||
| full-course 11 | Street-Fighting Mathematics | January IAP 2008 | Sanjoy Mahajan | Massachusetts Institute of Technology | ||
| In this course students learn the 'art' of guessing and estimating solutions to problems without performing exact mathematical calculations. | ||||||
| full-course 25 | The Art of Counting | Spring 2003 | Richard Stanley | Massachusetts Institute of Technology | ||
| In this course students explore ways to research counting the number of elements of a finite set. | ||||||
| mixed | The Beauty and Utility of mathematics | N/A | Sheryl Stump | Ball State University | ||
| Students in this course will work on problem solving, mathematical reasoning, fundamentals of math and more. | ||||||
| audio 25 | The Calculus Lifesaver | Fall 2008 | Adrian Banner | Princeton University | ||
| Explore Author Adrian Banner's book, The Calculus Lifesaver in this lecture series from Princeton. | ||||||
| full-course 1 | The Mathematics in Toys and Games | Spring 2010 | Jing Li | MIT | ||
| In this course, students will explore mathematical strategies behind popular toys, games, and puzzles. | ||||||
| full-course 1 | Theory of Computation | Fall 2006 | Michael Sipser | Massachusetts Institute of Technology | ||
| In this class, students will participate in advanced discussions about computability and complexity. | ||||||
| full-course 26 | Theory of Numbers | Spring 2012 | Abhinav Kumar | Massachusetts Institute of Technology | ||
| Students in this course will learn elementary principles in number theory with no algebraic prerequisites. | ||||||
| full-course 37 | Theory of Probability | Fall 2008 | Dmitry Panchenko | Massachusetts Institute of Technology | ||
| In this course students will explore the laws of large numbers and central limit theorems for sums of independent random variables. | ||||||
| full-course 1 | Topics in Algebraic Combinatorics | Spring 2006 | Richard Stanley | Massachusetts Institute of Technology | ||
| This class is a survey of major topics in algebraic combinatorics. | ||||||
| full-course 1 | Topics in Algebraic Geometry: Algebraic Surfaces | Spring 2008 | Abhinav Kumar | Massachusetts Institute of Technology | ||
| This course in algebraic geometry focuses on algebraic surfaces, the classification of surfaces, and various applications. | ||||||
| full-course 1 | Topics in Algebraic Geometry: Intersection Theory on Moduli Spaces | Spring 2006 | Izzet Coskun | Massachusetts Institute of Technology | ||
| This course covers varying subject in algebraic geometry each semester, with this section covering intersection theory on moduli spaces. | ||||||
| full-course 1 | Topics in Algebraic Number Theory | Spring 2010 | Abhinav Kumar | Massachusetts Institute of Technology | ||
| This course covers various introductory topics in algebraic number theory. | ||||||
| full-course 1 | Topics in Algebraic Topology: The Sullivan Conjecture | Fall 2007 | Jacob Lurie | Massachusetts Institute of Technology | ||
| Taught by Jacob Lurie, this course on algebraic topology focuses on Sullivan's conjecture. | ||||||
| mixed 6 | Topics in Applied mathematics | N/A | Saylor | |||
| This course gives a general overview of the techniques and practices of applied mathematics. | ||||||
| full-course 1 | Topics in Combinatorial Optimization | Spring 2004 | Michel Goemans | Massachusetts Institute of Technology | ||
| In this class geared toward doctoral students, advanced theories in combinatorial optimization are discussed. | ||||||
| full-course 1 | Topics in Geometry: Dirac Geometry | Fall 2006 | Marco Gualtieri | Massachusetts Institute of Technology | ||
| This class covering selected topics in generalized geometry focuses on Dirac geometry and generalized complex geometry. | ||||||
| full-course 1 | Topics in Geometry: Mirror Symmetry | Spring 2009 | Denis Auroux | Massachusetts Institute of Technology | ||
| Students who are familiar with symplectic and complex geometry will explore mirror symmetry in this graduate level course. | ||||||
| full-course 1 | Topics in Lie Theory: Tensor Categories | Spring 2009 | Pavel Etingof | Massachusetts Institute of Technology | ||
| This class provides students with a thorough introduction to theory of tensor categories and their connection to various ring theories. | ||||||
| full-course 36 | Topics in Several Complex Variables | Spring 2005 | Victor Guillemin | Massachusetts Institute of Technology | ||
| This course covers various topics including complex manifold harmonic theory, the Hodge decomposition theorem, the Hard Lefschetz theorem, and Vanishing theorems. | ||||||
| full-course 1 | Topics in Statistics: Nonparametrics and Robustness | Spring 2005 | Richard Dudley | Massachusetts Institute of Technology | ||
| In this class, students learn about early 20th century one-dimensional nonparametric statistics. | ||||||
| full-course 1 | Topics in Statistics: Statistical Learning Theory | Spring 2007 | Dmitry Panchenko | Massachusetts Institute of Technology | ||
| This class explores empirical process theory and other machine learning algorithms. | ||||||
| full-course 1 | Topics in Theoretical Computer Science : Internet Research Problems | Spring 2002 | Bruce Maggs | Massachusetts Institute of Technology | ||
| In this class, students will discuss and research current mathematical issues affecting the internet. | ||||||
| full-course 1 | Topics in Theoretical Computer Science: An Algorithmist's Toolkit | Fall 2009 | Jonathan Kelner | Massachusetts Institute of Technology | ||
| This course covers geometric applications in modern algorithm design. | ||||||
| video 39 | Trigonometry | Spring 2012 | The Khan Academy | |||
| The Khan Academy's trigonometry video course covers radians and degrees, trigonometric functions and graphs, and proofs. | ||||||
| audio 32 | Trigonometry | 1/9/2012 | Jason Rosenberry | Harrisburg Area Community | ||
| Topics studied include trigonometric functions, relationships, and graphs; identities and trigonometric equations; composite, multiple, and half-angle formulas; complex numbers; and DeMoivre's theorem. | ||||||
| article 5 | Trigonometry and Precalculus: Behind the Scenes | Fall 2012 | University of Reddit | |||
| The trigonometry and precalculus course covers the basic topics found in this are of mathematical study, including functions, quadratics, and absolute values. | ||||||
| full-course 39 | Undergraduate Seminar in Discrete Mathematics | Spring 2006 | Daniel Kleitman | Massachusetts Institute of Technology | ||
| This is a seminar-based course presented by students that covers combinatorics, graph theory, and discrete mathematics in general. | ||||||
| mixed | Uniform Convergence and Pointwise Convergence | N/A | The University of Nottingham | |||
| This is a collection of material suitable for those with an understanding of real-valued functions that introduces different convergence sequences. | ||||||
| full-course 1 | Visualizing Algebra | N/A | Sandra DeSousa | San Jose State University | ||
| This course focuses on algebra applications that can be used in everyday situations and problems. | ||||||
| full-course 1 | Wavelets, Filter Banks and Applications | Spring 2003 | Gilbert Strang | Massachusetts Institute of Technology | ||
| In this class, students learn how to use wavelets to represent short term events. | ||||||