Course image
Lecture 1 (January 14, 2026): Introductions
Lecture 2 (January 21, 2026): Reduced row echelon form, spaces of vectors
Lecture 3 (January 28, 2026): Rank and number of solutions, introduction to matrix algebra
Lecture 4 (February 2, 2026): Matrix algebra
Lecture 5 (February 4, 2026): Linear transformations and matrices
Lecture 6 (February 9, 2026): Matrix multiplication is composition, intro to matrix factorization
Lecture 7 (February 11, 2026): Matrix factorization, subspaces, image, rank, nullity
Lecture 8 (February 16, 2026): Spanning and independent sets, geometry and projections
Exam 1 practice sheet (February 18, 2026):
Lecture 9 (March 2, 2026): More orthogonality, introduction to determinants
Lecture 10 (March 4, 2026): Determinants, transposes