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Introduction to Linear Algebra Essentials
Master fundamental concepts of linear algebra: vectors, matrices, and transformations. Ideal for STEM students and professionals.
Course Cost
₹ 2,699
Intermediate
Skill Level
35 Hours
Self-paced lessons
This comprehensive course offers a deep dive into the essential concepts of linear algebra, a foundational pillar of modern mathematics. Designed for intermediate-level learners, the course covers key topics such as geometric vectors, matrix operations, determinants, eigenvalues, and linear transformations. Through four engaging modules, students will develop crucial mathematical skills applicable to various fields including physics, engineering, and computer science. The course balances theoretical understanding with practical applications, ensuring a thorough grasp of linear algebra principles and their relevance in solving real-world problems.
4,491 Enrolled
English
What you'll learn
Understand and manipulate geometric vectors in two and three dimensions
Master matrix operations and their applications in solving systems of linear equations
Comprehend the theory of determinants and their properties
Grasp eigenvalue concepts and apply diagonalization techniques
Explore linear transformations and their representations as matrices
Apply linear algebra concepts to real-world problems in various scientific fields
Develop mathematical reasoning and proof techniques in the context of linear algebra
Skills you'll gain
This course includes:
11.2 Hours PreRecorded video
28 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive linear algebra course covers the fundamental concepts and techniques essential for understanding vector spaces, linear transformations, and matrix operations. The curriculum is structured to provide a deep understanding of geometric vectors, systems of linear equations, matrix arithmetic, determinants, eigenvalues, and eigenvectors. Students will explore applications in various fields, including computer graphics, data analysis, and quantum mechanics. The course emphasizes both theoretical foundations and practical problem-solving skills, preparing learners for advanced studies in mathematics, physics, engineering, and computer science.
Week 1 - Geometric Vectors in the Plane and in Space
Module 1 · 11 Hours to complete
Week 2 - Lines and Planes in Space and Systems of Linear Equations
Module 2 · 8 Hours to complete
Week 3 - Matrix Arithmetic and the Theory of Determinants
Module 3 · 7 Hours to complete
Week 4 - Eigentheory and Diagonalisation
Module 4 · 9 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.