EEE126 Linear Algebra

DERS UYGULAMA BELGESİ (SYLLABUS)

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	16:35 - 17:20
3	matrices	linear equations; dynamical systems; matrix multiplication	no PS
4	matrices, least squares	matrix inverses; least squares (LS)	16:35 - 17:20
5	least squares	LS data fitting; LS classification; multi-objective LS	no PS
6		exercises and applications with numerical computing (midterm)	16:35 - 17:20
7		review and preparation for the exam (midterm)	no PS
midterm week		midterm exam
8	abstract linear algebra	range and null space	no PS
9	abstract linear algebra	eigenvalues and eigenvectors	16:35 - 17:20
10	abstract linear algebra	symmetric matrices	no PS
11	abstract linear algebra	singular value decomposition	16:35 - 17:20
12	advanced least squares	constrained least squares	no PS
13	advanced least squares	nonlinear least squares	16:35 - 17:20
14	engineering applications	introduction to dynamical systems and control; introduction to optimization; introduction to machine learning	no PS
15		exercises and applications with numerical computing (final)	16:35 - 17:20
16		review and preparation for the exam (final)	no PS