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Calculus 1B: Integration
Discover the integral - what it is and how to compute it. See how to use calculus to model real world phenomena. Part 2 of 3.
- MIT
- 15 weeks, 8 hours/week
- Self-paced
- Free course
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Calculus courses
Learn Calculus online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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MIT Calculus Revisited: Multivariable Calculus
Instructor: Herbert Gross This course is a study of the calculus of functions of several variables (vector arithmetic and vector calculus). View the complete course at: https://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at h…
Video playlist
- YouTube
- 26 videos, 14 hours
- Self-paced
- Free video
MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023 Instructors: Alan Edelman, Steven G. Johnson View the complete course: https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/ View previous version of the course: https://ocw.mit.edu…
Video playlist
- YouTube
- 17 videos, 14 hours
- Self-paced
- Free video
MIT OpenCourseWare
Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler
Learn Differential Equations: Up Close with _Gilbert Strang and_ Cleve Moler is an in-depth series of videos about differential equations and the MATLAB® ODE suite. These videos are suitable for students and life-long learners to enjoy. About the Instructors Gilbert Strang is the MathWorks Professo…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Multivariable Control Systems
This course uses computer-aided design methodologies for synthesis of multivariable feedback control systems. Topics covered include: performance and robustness trade-offs; model-based compensators; Q-parameterization; ill-posed optimization problems; dynamic augmentation; linear-quadratic optimiza…
- MIT
- Self-paced
- Free course
- Advanced
MIT 18.085 Computational Science & Engineering I, Fall 2007
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variatio…
Video playlist
- YouTube
- 32 videos, 35 hours
- Self-paced
- Free video
MIT OpenCourseWare
Introduction to Partial Differential Equations
This course provides a solid introduction to Partial Differential Equations for advanced undergraduate students. The focus is on linear second order uniformly elliptic and parabolic equations.
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Linear Partial Differential Equations
This course covers the classical partial differential equations of applied mathematics: diffusion, Laplace/Poisson, and wave equations. It also includes methods and tools for solving these PDEs, such as separation of variables, Fourier series and transforms, eigenvalue problems, and Green’s functio…
- MIT
- Self-paced
- Free course
- Advanced
- Khan Academy
- Self-paced
- Free course
MIT OpenCourseWare
Numerical Marine Hydrodynamics (13.024)
This course is an introduction to numerical methods: interpolation, differentiation, integration, and systems of linear equations. It covers the solution of differential equations by numerical integration, as well as partial differential equations of inviscid hydrodynamics: finite difference method…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Single Variable Calculus
This introductory calculus course covers differentiation and integration of functions of one variable, with applications.
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Calculus for Beginners and Artists
This online textbook provides an overview of Calculus in clear, easy to understand language designed for the non-mathematician. Online Publication
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Multivariable Calculus
This course covers differential, integral and vector calculus for functions of more than one variable. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics. The materials have been organized to support independent study. Th…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Differential Equations
The laws of nature are expressed as differential equations. Scientists and engineers must know how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on the equations and techniques most useful in science and engi…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Computational Science and Engineering I
This course provides the fundamental computational toolbox for solving science and engineering problems. Topics include review of linear algebra, applications to networks, structures, estimation, finite difference and finite element solutions of differential equations, Laplace’s equation and potent…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Special Topics in Mathematics with Applications: Linear Algebra and the Calculus of Variations
This course forms an introduction to a selection of mathematical topics that are not covered in traditional mechanical engineering curricula, such as differential geometry, integral geometry, discrete computational geometry, graph theory, optimization techniques, calculus of variations and linear a…
- MIT
- Self-paced
- Free course
- Advanced
MIT OpenCourseWare
Multivariable Calculus with Theory
This course is a continuation of 18.014 Calculus with Theory. It covers the same material as 18.02 Multivariable Calculus, but at a deeper level, emphasizing careful reasoning and understanding of proofs. There is considerable emphasis on linear algebra and vector integral calculus.
- MIT
- Self-paced
- Free course
- Advanced
Johns Hopkins University
Advanced Linear Models for Data Science 1: Least Squares
4.5192 ratingsWelcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multiva…
- Coursera
- 6 weeks of study, 1-2 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
The London School of Economics and Political Science
Mathematics 1 Part 1: Differential Calculus
4.529 ratingsThe first in a series of two courses from LSE which help you to master mathematics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
- edX
- 5 weeks, 11 - 14 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
MIT OpenCourseWare
Differential Equations
Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE’s) deal with functions of one variable, which can o…
- MIT
- Self-paced
- Free course
- Advanced