1. Linearn algebra: Vector spaces, linearn and affine maps, scalar product, vector and matrix norms, quadratic forms, positive definitness,  Cholesky decomposition, Perron- Frobenius theorem.

  2. Calculus: Functions of several variables več, extrema and continous optimization problems, double integrals.

Computer science is closely related to mathematics and a thorough
knowledge of the mathematical basics is a prerequisite for understanding
the technical content in the study of computer science and informatics.
The purpose of the course Mathematics 2 is to deepen the knowledge and
understanding of mathematical basics of linear algebra (vector spaces
and linear transformations) and analysis (series, integral and discrete
transformations, functions of several variables and vector analysis).