Linear Algebra

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Linear Algebra (saylor.org) Saylor Academy
Saylor.org

Linear Algebra (saylor.org)

Discover the basics of Linear Algebra with our beginner-friendly online course. Designed to provide a solid foundation in this critical mathematical discipline, you'll learn key principles and their real-world applications. Whether you're new to the subject or looking to enhance your skills, this course is tailored to cater to all levels of understanding.

Legacy Course
Self-Paced
Linear Algebra II (saylor.org) Saylor Academy
Saylor.org

Linear Algebra II (saylor.org)

Dive deeper into the fascinating world of Linear Algebra with our Linear Algebra II course. Building on foundational principles introduced in Linear Algebra I, this course will expand your knowledge by exploring advanced topics such as vector spaces, linear mappings, and more. Perfect for those looking to refine their skills in solving complex linear equations, manipulating vectors and matrices, and applying these techniques in various fields.

Legacy Course
Self-Paced
Linear Algebra (UNINETTUNO) UNINETTUNO OpenupEd
International Telematic University UNINETTUNO

Linear Algebra (UNINETTUNO)

Discover the core concepts of Linear Algebra through an engaging online course offered by UNINETTUNO. This course is designed for students and professionals who want to grasp the essentials of vector spaces, matrices, and linear applications. Whether you're aiming to improve your mathematical skills or apply these principles in your studies or career, this course provides a structured approach to understanding complex algebraic concepts.

Self Paced Course - Start anytime
Self-Paced
Calculus 1 (UNINETUNO) UNINETTUNO OpenupEd
International Telematic University UNINETTUNO

Calculus 1 (UNINETUNO)

Discover the basics of Calculus 1 with our engaging online course offered by UNINETUNO. This course is designed for students who want to understand mathematical analysis and linear algebra, starting with real numbers and one-variable real functions. You'll explore concepts like limits and continuity, laying a strong foundation in calculus.

Self Paced Course - Start anytime
Self-Paced
Applications of Linear Algebra Part 1 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 1 (edX)

Embark on a journey into the real-world applications of Linear Algebra with 'Applications of Linear Algebra Part 1'. This course will equip you with practical skills to apply linear algebra concepts in various domains such as computer graphics, data mining, and more. From creating mesmerizing animations where images seemingly disappear to analyzing similarities between complex datasets like movies or friendships, this course is designed for learners who want to see the tangible impact of linear algebra in today's digital world.

No sessions available
4 Weeks
Applications of Linear Algebra Part 2 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 2 (edX)

Expand your understanding of linear algebra and its practical applications in the real world. This second part of a two-part series delves into complex topics like search engine algorithms, movie genre clustering, and image processing through computer graphics. Perfect for data enthusiasts and professionals seeking to harness the power of linear algebra.

No sessions available
4 Weeks
Mastering Quantum Mechanics Part 1: Wave Mechanics (edX) EdX
MIT,MITx

Mastering Quantum Mechanics Part 1: Wave Mechanics (edX)

Dive into the fascinating world of quantum mechanics with our foundational Part 1 course. Explore wave mechanics, understand spin one-half states, master linear algebra, and become fluent in Dirac's bra-ket notation. This course is designed for those who want to grasp the core principles of quantum physics and apply them effectively.

No sessions available
4 Weeks
Matrizes de Markov (IST) MOOC Técnico
Instituto Superior Técnico, Universidade de Lisboa

Matrizes de Markov (IST)

Dive into the world of Matrices of Markov with this comprehensive course from IST. Explore probabilistic models and learn how to apply Markov chains using matrices as key tools. From weather predictions to search engine ranking algorithms, understand the applications and principles behind these powerful mathematical concepts.

Self Paced
Self-Paced