About this course
Linear algebra is a branch of mathematics that focuses on linear equations, linear transformations, vector spaces, and matrices. Its far-reaching impact extends across disciplines like physics, engineering, computer science, and economics, with practical applications spanning computer graphics, machine learning, signal processing, economic models, and beyond.
This course will cover fundamental concepts of linear algebra from a mathematical perspective, including systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, least squares, and symmetric matrices. It has a hands-on format where a major focus is placed on mathematical application of concepts and problem solving.
Syllabus
Pre-requisites
Calculus I and Calculus II, or approval from the Department.
Faculty
Frida Svelander
CEO and Founder of FEEM Solutions, a consulting company helping customers develop applications and technologies that contribute to a sustainable and healthy society. Previously Senior Imaging Algorithm Developer at Elekta (2023–2024) and Lecturer at KTH (Royal Institute of Technology) in math and numerical methods (2019–2021). Ph.D. studies in Computer Science, KTH (2017–2020, incomplete). Lic. in Advanced Engineering Mathematics, Chalmers University of Technology (2016). With DIS since 2025.