EEE126 Linear Algebra

2024-2025 Spring

Week	Part	Topic	Problem Session (PS)
1	vectors	introduction, vectors (fundamentals), linear functions, norm and distance, clustering	no PS
2	vectors, matrices	linear independence, matrices (fundamentals), matrix examples	08:30 - 09:30
3	matrices	linear equations, dynamical systems, matrix multiplication	no PS
4	matrices, least squares	matrix inverses, least squares (LS)	08:30 - 09:30
5	least squares	LS data fitting, LS classification, multi-objective LS	no PS
6		exercises and applications with numerical computing (midterm)	no PS
7		review and preparation for the exam (midterm)	no PS
8		midterm exam
9	abstract linear algebra	range and null space, rank, orthogonality	no PS
10	abstract linear algebra	eigenvalues, eigenvectors, and diagonalization, symmetric matrices and quadratic forms	08:30 - 09:30
11	abstract linear algebra	singular value decomposition	no PS
12	advanced least squares	constrained LS with applications, nonlinear LS, constrained nonlinear LS	08:30 - 09:30
13	engineering applications	introduction to optimization, machine learning, estimation and control	no PS
14		exercises and applications with numerical computing (final)	no PS
15		review and preparation for the exam (final)	no PS