- Knowing and understanding the concept of the Riemann integral
- Understanding the most important methods of determining indefinite and definite integrals, also in higher dimensions
- Knowing the calculation and understanding the meaning of partial derivatives of multivariate real functions (k1,k2)
- Ability to solve systems of linear equations efficiently (k3)
- Understanding the concept of linear space and linear mappings (k2,k4)
- Understanding of the meaning of matrices and applying matrix methods to corresponding problems (k2,k3)
- Describing the effect of a linear map using eigenspaces and eigenvalues (k1,k2,k4)
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- Riemann integral, substitution method, partial integration, improper integrals
- Fubini's theorem
- Functions of several real variables and their partial derivatives
- Determination of extreme values of multivariate real functions
- Gaussian elimination method for solving linear systems of equations
- R^n as a linear space, linear space in general
- Matrices for the representation of linear maps
- Linear maps between matrices as well as their products and inverses
- Eigenspace decomposition of linear maps
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