Free online courseLinear algebra
Duration of the online course: 27 hours and 55 minutes
4.91
(118)
Explore Linear Algebra through a comprehensive free online course covering 34 lectures from MIT’s Spring 2005 series. Perfect for beginners in Algebra.
Course Description
Linear Algebra is an engaging and comprehensive course that spans 27 hours and 55 minutes of content. It firmly establishes itself within the Basic Studies category, specifically under the subcategory of Algebra. The course has garnered significant acclaim, reflected in its outstanding average rating of 4.91 out of 5 stars.
Designed for learners interested in delving into the fundamentals of Linear Algebra, the course draws from the esteemed lectures of MIT’s 18.06 Linear Algebra, Spring 2005. Each lecture, skillfully delivered, progressively builds on essential concepts, ensuring a structured and thorough learning experience for students.
The course covers a wide array of topics vital to understanding linear algebra. Starting with introductory concepts and moving through various essential elements and applications of linear algebra, each lecture meticulously unpacks the theories and practices that form the backbone of this mathematical discipline. Learners will find themselves immersed in a methodical exploration of topics, from basic vector and matrix operations to more advanced concepts like eigenvalues and eigenvectors.
What sets this course apart is its methodical approach to complex topics. The lecturer breaks down intricate concepts into manageable segments, making them accessible to learners at all levels. Whether you are just beginning your journey in linear algebra or seeking to solidify and expand your understanding, you will find the course material both challenging and rewarding.
Each lecture builds on the previous one, reinforcing and expanding on the knowledge acquired. Students are engaged through a series of intuitive and insightful explanations, which are supplemented by practical examples and problem-solving exercises. The course promotes not just rote learning but also a deeper understanding of the underlying principles and real-world applications of linear algebra.
In addition to the rich content and exemplary teaching methods, the course has been meticulously curated to ensure clarity and coherence. Whether it is the clear exposition of matrix theory or the step-by-step breakdown of vector spaces, each topic is delivered with precision and pedagogy that reflect the dedication to education and MIT's commitment to excellence.
Overall, Linear Algebra is an invaluable resource for anyone looking to gain a robust understanding of linear algebra. Its high rating emphasizes the positive reception by students who have found the course to be educational, insightful, and highly beneficial. This course stands as a testament to effective teaching and well-organized content, making it an ideal choice for learners aiming to excel in the field of algebra.
Conteúdo do Curso
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Video class: Lec 1 | MIT 18.06 Linear Algebra, Spring 2005
0h39m
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Exercise: What is the point of origin in a line?
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Video class: Lec 2 | MIT 18.06 Linear Algebra, Spring 2005
0h47m
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Video class: Lec 3 | MIT 18.06 Linear Algebra, Spring 2005
0h46m
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Video class: Lec 4 | MIT 18.06 Linear Algebra, Spring 2005
0h50m
-
Video class: Lec 5 | MIT 18.06 Linear Algebra, Spring 2005
0h47m
-
Video class: Lec 6 | MIT 18.06 Linear Algebra, Spring 2005
0h46m
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Video class: Lec 7 | MIT 18.06 Linear Algebra, Spring 2005
0h43m
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Video class: Lec 8 | MIT 18.06 Linear Algebra, Spring 2005
0h47m
-
Exercise: What is the solution of AX=B in class eight?
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Video class: Lec 9 | MIT 18.06 Linear Algebra, Spring 2005
0h50m
-
Video class: Lec 10 | MIT 18.06 Linear Algebra, Spring 2005
0h49m
-
Video class: Lec 11 | MIT 18.06 Linear Algebra, Spring 2005
0h45m
-
Video class: Lec 12 | MIT 18.06 Linear Algebra, Spring 2005
0h47m
-
Video class: Lec 13 | MIT 18.06 Linear Algebra, Spring 2005
0h47m
-
Video class: Lec 14 | MIT 18.06 Linear Algebra, Spring 2005
0h49m
-
Exercise: What is the angle between 2 orthogonal subspaces?
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Video class: Lec 15 | MIT 18.06 Linear Algebra, Spring 2005
0h48m
-
Video class: Lec 16 | MIT 18.06 Linear Algebra, Spring 2005
0h48m
-
Video class: Lec 17 | MIT 18.06 Linear Algebra, Spring 2005
0h49m
-
Video class: Lec 18 | MIT 18.06 Linear Algebra, Spring 2005
0h49m
-
Video class: Lec 19 | MIT 18.06 Linear Algebra, Spring 2005
0h53m
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Video class: Lec 20 | MIT 18.06 Linear Algebra, Spring 2005
0h51m
Linear algebra
Free Linear Algebra Courses
Are you looking to enhance your mathematical skills with a focus on Linear Algebra? You've come to the right place! Our curated list of free Linear Algebra courses will help you master concepts such as vector spaces, matrices, eigenvalues, and more. Whether you're a student, a professional, or a math enthusiast, these courses offer comprehensive content to suit your learning needs.
Linear Algebra is a cornerstone of higher mathematics and is widely applicable in fields such as engineering, physics, computer science, and economics. Understanding this subject can open doors to numerous career opportunities and academic advancements. Our selection of free courses ensures that you can learn without the burden of financial constraints.
Why Choose Our Free Linear Algebra Courses?
- Comprehensive Content: Covering all essential topics including vector spaces, linear transformations, matrix theory, and eigenvalues.
- Expert Instructors: Learn from top educators and professionals in the field.
- Flexible Learning: Study at your own pace with self-paced courses.
- Interactive Learning: Engage with interactive modules, quizzes, and problem sets.
- Certification: Some courses offer certificates of completion to boost your resume.
Featured Free Linear Algebra Courses
- Introduction to Linear Algebra - A beginner-friendly course covering the basics of linear algebra, including vectors, matrices, and systems of linear equations.
- Advanced Linear Algebra - Dive deeper into advanced topics such as eigenvalues, eigenvectors, and diagonalization.
- Linear Algebra for Data Science - Learn how linear algebra is applied in data science, machine learning, and artificial intelligence.
- Practical Linear Algebra - Focus on real-world applications of linear algebra in engineering, physics, and computer science.
- Linear Algebra and Optimization - Explore the intersection of linear algebra and optimization techniques used in various industries.
Each of these courses is designed to provide you with a robust understanding of Linear Algebra, tailored to your specific interests and career goals. By choosing free courses, you can access high-quality education without the financial burden. Start your journey today and unlock the potential of Linear Algebra in your academic and professional life.
Don't miss out on the opportunity to learn from the best and gain valuable skills that are highly sought after in today's job market. Enroll in one or more of these free Linear Algebra courses and take the first step towards mastering this essential mathematical discipline.
For more courses and resources in Algebra, visit our Algebra Courses section.
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Course comments: Linear algebra
Abshir Maxamed
real I'm happy to join Cursa online Courses