Under construction. This area is a framework being built: most courses have no teaching material yet, and things may change or break. Private self-study. Not an official programme and not recognised by any ministry or school. No qualification, mark or document is issued, and “years 1 to 3” and “advanced” are names of study paths only.
B04 Linear algebra I: computation & geometry
Years 1 to 3 pathB: Years 1 to 3 coreplannedabout 120 h (planning estimate)
Draft lectures and exercises are available for this course. They were written by AI and checked by a second AI; no person has reviewed them yet. Use them as a study aid, not as an authority.
Named in: Years 1 to 3 pathway
Why this course
Computational and geometric linear algebra: the working toolkit for gradients, least squares and later abstract theory.
Prerequisites
Concept-level units
Units follow the syllabus order, as a recommended sequence rather than a gate.
- Linear systems
- Matrices and transformations
- Span and independence
- Bases and dimension
- Determinants
- Eigenvectors and orthogonality
Assessable outcome
Move between a linear transformation, its matrix, and its geometric action.
Assessment design
- topic exercises
- mixed problem sets
- unseen proof or derivation problems
- cumulative examination
cumulative; uses spaced retrieval
Resources
Every title here is candidate, unverified unless marked verified. Titles were suggested while planning. Nobody has checked that they exist, what they cost or how they are licensed.
- Strang · Introduction to Linear Algebra
- MIT 18.06
Content record
- Version
- 0.0.0
- Review
- no review of any kind
- Provenance
- catalogue imported from the owner brief of 29 Oct 2026; no teaching content authored
- Known issues
- none recorded
- Type
- course
Bridges and laboratories
- Laboratory: Linear maps, span, projections, eigenvectors, SVD planned Preserve the relation between the geometric object and coordinates
You and this course
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