Celkem (h)	Př.	Cv.	Lab.	Sem.	Kurzy	Praxe	Stáže	Soustř.	Exkurze	Terén	SP	Konzultace	PV
Matrices: – definition, types of matrices, – operations on matrices, transposition, – elementary operations on matrices, – linear independence of rows and columns, (row/column) rank, inverse matrix.	8	4	4	0	0	0	0	0	0	0	0	0	0	0
Determinants: – definition and properties, Sarrus rule, – Laplace cofactor expansion theorem, – evaluation of inverse matrix using matrix of cofactors.	8	4	4	0	0	0	0	0	0	0	0	0	0	0
Systems of linear algebraic equations: – matrix notation, solvability, homogeneous systems, – Gaussian elimination method and Jordan method, – solution using inverse matrix, Cramer's rule, eigenvalues and eigenvectors of matrices.	8	4	4	0	0	0	0	0	0	0	0	0	0	0
Vectors in the plane and space: – free and fixed vectors, linear independence, basis and coordinates, – scalar, vector and mixed products, – lines and planes in the space.	4	2	2	0	0	0	0	0	0	0	0	0	0	0

Povinná:
Kropáč, J., Vetchý, V. Matice, determinanty, soustavy rovnic. Skriptum. 3. vydání. Brno: Vojenská akademie v Brně, 1999. ii+51 s. Dostupné v knihovně UO pod číslem S-2581/A.
Kuben, J., Račková, P. Vektory a analytická geometrie. Skriptum. Brno: Univerzita obrany, 2014. 33 s. Dostupné z https://moodle.unob.cz/mod/resource/view.php?id=51662 [cit. 2020-07-25].