Linear Algebra is a foundational course that explores the mathematical structures underlying vector spaces and linear transformations. This course provides essential tools for analyzing and solving systems of linear equations, understanding matrix operations, and investigating eigenvalues and eigenvectors.
Students will learn to:
- Work with vectors, matrices, and determinants.
- Understand linear transformations and their geometric interpretations.
- Solve systems of linear equations using various methods, including Gaussian elimination.
- Explore applications of linear algebra in diverse fields like computer graphics, data science, engineering, and physics.
By the end of the course, participants will have the theoretical knowledge and computational skills to apply linear algebra concepts in academic and real-world scenarios. Whether you're pursuing mathematics, engineering, computer science, or economics, this course serves as a crucial stepping stone for advanced study and problem-solving.
- Teacher: Joby Mackolil