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Linear Algebra: Determinants and Eigenvalues
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Linear Algebra: Determinants and Eigenvalues

This course is part of Applications of Linear Algebra.

Course Cost

₹ 21,059

Intermediate

Skill Level

3 Weeks

Self-paced lessons

This advanced mathematics course explores fundamental concepts in linear algebra, focusing on determinants and eigenvalues. Students will learn to compute determinants using cofactor expansions, understand their application in measuring transformation effects, and master eigenvalue calculations. The course covers practical applications in computer graphics, discrete dynamical systems, and Markov chains. Special emphasis is placed on matrix decomposition, linear transformations, and their roles in various scientific and engineering applications. The curriculum follows Georgia Tech's MATH 1554 course structure, providing university-level instruction in these essential mathematical concepts.

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4.5

6,089 Enrolled

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English

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olive-leaves-logo

4.5

6,089 Enrolled

olive-leaves-logo

English

What you'll learn

  • Compute and understand determinants using cofactor expansions

  • Calculate areas of regions under linear transformations

  • Master eigenvalue and eigenvector concepts and applications

  • Solve real-world problems using Markov chains

  • Apply matrix factorization techniques

  • Analyze complex eigenvalues and their implications

  • Understand PageRank computation and Google Matrix concepts

  • Develop proficiency in linear transformation analysis

Skills you'll gain

Linear Algebra
Determinants
Eigenvalues
Matrix Operations
Markov Chains
Linear Transformations
Mathematical Modeling
Complex Numbers

This course includes:

PreRecorded video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This comprehensive course covers advanced topics in linear algebra, focusing on determinants and eigenvalues. Students learn to compute determinants using cofactor expansions, understand their applications in measuring transformation effects, and master eigenvalue calculations. The course emphasizes practical applications in computer graphics, discrete dynamical systems, and Markov chains. Key topics include matrix decomposition, linear transformations, and their applications in scientific and engineering contexts. The curriculum aligns with Georgia Tech's MATH 1554 coursework, providing rigorous mathematical training for students pursuing advanced studies in mathematics, engineering, or related fields.

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Applications of Linear Algebra

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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.

Linear Algebra: Determinants and Eigenvalues

Intermediate

Skill Level

3 Weeks

Self-paced lessons

Course Cost

₹ 21,059

Completion

CERTIFICATE

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.