Euclidean Space Course
Master Euclidean space in R^n: subspaces, inner products, angles, orthogonality, Gram–Schmidt, projections, and QR. Build geometric insight and computational tools essential for advanced mathematics, data analysis, and numerical modeling.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Euclidean Space Course gives you a focused path to master inner products, norms, angles, and distances in R^n, then move quickly to orthogonality, Gram–Schmidt, and projections with clear, numeric examples. You will learn to describe subspaces, switch coordinates, build projection matrices, and apply QR factorization, gaining practical tools for precise, reliable computations in higher dimensions.
Elevify advantages
Develop skills
- Master subspaces in R^n: move between span, basis, and linear equations fast.
- Compute inner products, norms, and angles in R^n with geometric insight.
- Build and use orthonormal bases via Gram–Schmidt and QR for clean proofs.
- Apply orthogonal projections and least squares to solve practical R^n problems.
- Analyze numerical stability: conditioning, orthogonality loss, reorthogonalization.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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