Quote
"Thereβs no miracle people. It just happens they got interested in this thing and they learned all this stuff. Thereβs just people.β Richard Feynman |
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- About
- Learning How to learn
- Bachelor of Science in Mathematics (MIT)
- Department of mathematics (RUPP)
- Path to a free self-taught education (OSSU)
- The Open-Source Mathematics Degree
- OpenStax
- Simulations and Open online source
- Advice
- Miscellaneous
The open-source curriculum for learning Mathematics. Inspired by The Open Source Society University & MIT challenge, this project aims to do the same for an undergraduate Mathematics degree. The following document outlines free online courses from top schools like MIT, UC Irvine, et al.. The groupings by Term are meant to pace and structure the course according to a typical Mathematics track at a college or university and is a work in progress. The focus is on the core courses; liberal arts or "GenEd" courses have been omitted.
How to Get the Most Out of Studying
- π¬ How to Get the Most Out of Studying
βΆοΈ Part 1 of 5, "Beliefs That Make You Fail... Or Succeed"βΆοΈ Part 2 of 5, "What Students Should Know About How People Learn"βΆοΈ Part 3 of 5, "Cognitive Principles for Optimizing Learning"βΆοΈ Part 4 of 5, "Putting Principles for Learning into Practice"βΆοΈ Part 5 of 5, "I Blew the Exam, Now What?"Learning how to learn for student (Courses)
- Learning how to learn for student
- π¬ Learning How to Learn: Powerful mental tools to help you master tough subjects
- π¬ Learning how to learn for youth
- π¬ Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
- π¬ Learn like a pro: Science-Based Tools to Become Better at Anything
- π¬ How to Learn Spanish in a Month - Language Learning Documentary
Growth Mindset
- Do 1% effort for 100 days - Prof Ryan O'Donnell
- π¬ You Can Learn Anything
- π¬ How to grow your brain
- π¬ The Growth Mindset
- π¬ Developing Growth Mindset with Carol Dweck
- π¬ Learning how to learn | Barbara Oakley | TEDxOaklandUniversity
- π¬ The Power of Asking How | Olav Schewe | TEDxWCMephamHigh
- π¬ Richard Hamming: "Learning to Learn"
- π¬ Best Way to Learn Anything
- π¬ Shimon Schocken: The self-organizing computer course
- π¬ Can you get an MIT education for $2,000? | Scott Young
- π How to Learn Anything with the Feynman Technique
Learning How to Learn
- Students responsibility on self learning Part 1 | Part 2
- αααααΈααααααα - Learning how to learn (Video)
- αα½αααααΆααα·αααΆαααα - Brain and learning (Slide) | Video
- αα·ααΈααΆαααααααααααΆααααααΆαααα(αααα·α) - Beating procrastination and multi-tasking (Slide) | Video
- αααααααα·ααΈααΆααααααααααΆαααααα·αααααΆα - Summary slide (Slide)
- αααααααααααΆ - Note taking (Slide) | Video
- ααααΉαααααα - Active recall (Slide) | Video
- ααΆααααΈααα½α - Elaborative (Slide) | Video
- ααΆαααααααααααΌα - Analogy (Slide) | Video
- ααΆααααα αΌααα·αααααααααα’αα·ααΈ - Dual coding (Slide) | Video
- ααΆαααααΉααααααααααααα-Distributed Practice (Slide) | Video
- ααΆαααααΎααααΆαα Flashcards ααΎααααΈαααα½ααααααΆααααααΆαααααα·αααααΆα - How to use flashcards (Video)
- αα·ααΈααΆααααααααααΈααα·ααααΆα’αα αα·αα αΆαααΆαααΌα - How to be study biology effectively (Video)
- αααα·αααααααααΆααααα’αα‘αΆα - Online learning experiences
- ααΆααααα’αα‘αΆα - Online learning (Slide)
- ααΆααααProgramming α’αα‘αΆαααααααα½αα―α (ααΈαααααα) - Online programming learning experiences by Virakroth (slide)
- αααα·αααααααααΆααααα’αα‘αΆααααα ααααΆ - Online learning experiences by HO Chanponleusophea (Slide)
How to learn math
- π How to Study Math
- π¬ How to Learn Math: For student
- π¬ How you can be good at math, and other surprising facts about learning
- π¬ Math isn't hard, it's a language
- π¬ The Real Reason You Should Study Math
- π The Feynman lectures on Physics
- π The Feynman Technique: The Best Way to Learn Anything
- π Learning How to Learn: Powerful mental tools to help you master tough subjects
- π Learning how to learn for youth
- π Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
- π Learn like a Pro: Science-Based Tools to Become Better at Anything
- π How to learn math: For students
- π© Constructivism and Mathematics, Science, and Technology Education
- π© Uncommon Sense Teaching Specialization
The MIT Mathematics currently offers several online math courses through the edX platform. Right now, we have a series of 3 calculus courses equivalent to 18.01 on campus, and a series of 4 differential equations courses, equivalent to 18.03, and a course on the Laplace transform, which is equivalent to 18.031 on campus. Each courses is offered as a synchronous course with deadlines and support from TAs on the discussion forum.
- 18.01.1x Calculus 1A: Differentiation
- 18.01.2x Calculus 1B: Integration
- 18.01.3x Calculus 1C: Coordinate Systems & Infinite Series
- 18.02.1x Multivariable Calculus 1: Vectors and Derivatives
- 18.031x Introduction to Differential Equations
- 18.032x Differential Equations: 2x2 Systems
- 18.033x NxN systems
- 18.03Fx Fourier
- 18.03Lx Laplace
- 18.02.2x Multivariable Calculus 1: Integrals NEW!
The degree of Bachelor of Science in Mathematics equips Cambodian students with the skills and competencies necessary to contribute to the development of Cambodia as teachers, statisticians, scientific managers, actuaries, system analysts and other professionals.
- Curriculum
- Books and lecture notes
- AMS American Mathematical society
- Bachelor and Master document slide | T.Meas Len
- Pre-master preparation
The open-source curriculum for learning Mathematics. Inspired by The Open-Source Data Science Masters, this project aims to do the same for an undergraduate Mathematics degree. The following document outlines free online courses from top schools like MIT, UC Irvine, et al.. The groupings by Term are meant to pace and structure the course according to a typical Mathematics track at a college or university and is a work in progress. The focus is on the core courses; liberal arts or "GenEd" courses have been omitted.
How to Learn Advanced Mathematics Without Heading to University
Arithmetic Khan Academy
Pre-Algebra Khan Academy
Algebra Basics Khan Academy
Algebra I Khan Academy
Algebra II Khan Academy
Geometry Khan Academy
Trigonometry Khan Academy
Pre-Calculus UC Irvine
Discovery Precalculus: A Creative and Connected Approach University of Texas at Austin
Calculus 1 UC Irvine
Calculus 1C: Coordinate Systems & Infinite Series MITx / edx
Calculus Revisited: Complex Variables, Differential Equations, and Linear Algebra MITx
Linear Algebra MITx
Mathematics for Computer Science MITx - covers elementary discrete mathematics for computer science and engineering
Machine Learning with Python: form Linear Models to Deep Learning
Applied Category Theory MITx. Newer course, published 2019
Advanced Algorithms MITx
Computational Science and Engineering I MITx *Note: This course was previously called "Mathematical Methods for Engineers I."
Mathematical Methods for Engineers II MIT OpenCourseware
Graph Theory and Additive Combinatorics MIT OpenCourseware
Work in progress...
Free and flexible textbooks and resources.
Algebra and Trigonometry
- π¬ Algebra 1
- π¬ Algebra 2
- π¬ College Algebra
- π Algebra and Trigonometry
- π Algebra and Trigonometry 2e
- π College Algebra
- π College Algebra 2e
- π Algebra with Corequisite support
- π Algebra with Corequisite support 2e
- π Elementary Algebra 2e
- π Intermediate Algebra 2e
- π Prealgebra 2e
Calculus
Statistic and Probability
- π Phet Stimulation
- π Geogebra
- π OpenStax
- π Better Explained
- π Youcubed
- π CK-12
- π Khan Academy
- π edx
- π Coursera
- π FreeCodeCamp
- π W3school
- π Codecademy
- π Linkedin Learning
- π MIT OpenCourseWare
Just a few sites that don't fit into any of the other areas above
- Awesome Math
- Lecture 1: Probability and Counting | Statistics 110 (Harvard)
- MIT 18.650 Statistics for Applications, Fall 2016 (MIT)
- 3Blue1Brown
- Oxford Mathematics
- TED's Official Public Speaking Course
- MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016
- Do you know the 5 love languages? Hereβs what they are β and how to use them
- Tim Urban: Inside the mind of a master procrastinator | TED
- Introductory Calculus: Oxford Mathematics 1st Year Student Lecture
- Introduction to University Mathematics
- Introduction to Probability
- MIT 18.650 Statistics for Applications, Fall 2016
- Introduction To Metric Spaces
- 120 Free Online Math Courses from the Worldβs Top Universities
- How To Self-Study Math
β³ My mission
To provide a self-taught education
" If people do not believe that mathematics is simple, it is only because they do not realize how complicated life is."
- John von Neumann
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
