Knowledge of foundations of the following topics is required:

• differential and integral calculus of one-variable functions
• vector and matrix calculus
• numerical optimisation
• probability

Course-unit credit requirements: Active attendance at the seminars, at least 50% of points in written tests. There is one alternative date to correct these tests.
Form of examination: The exam is written and oral.
The written part takes 100 minutes and  contains 6 exercises.
The oral part takes 20 minutes and 2 questions are asked.
At least 50% of the correct results must be obtained from the written part. If less is achieved, then the overall classification is F (failed).
Exercises are evaluated by 3 points each, questions by up to 12 point altogether.
Total classification is given by the sum of points from both parts.
A (excellent): 27 - 30 points
B (very good): 24 - 26 points
C (good): 21 - 23 points
D (satisfactory): 19 - 21 points
E (enough): 15 - 18 points
F (failed): 0 - 14 points

Attendance at lectures is recommended, attendance at seminars is required. The lessons are planned on the basis of a weekly schedule. The way of compensation for an absence is in the competence of the teacher.

The subject provides a survey of particular fields in applied mathematics necessary for understanding the topics in other subjects. The parts on linear algebra is crucial because it appears in optimisation algorithms as well as in selected methods of statistical multivariate analysis.

S. Trávníček, P. Calábek, and J. Švrček, Differential calculus I: (for teacher studies). Olomouc: Palacký University Olomouc, 2021.

R. A. Johnson and D. W. Wichern, Applied multivariate statistical analysis, Sixth edition [Pearson modern classic edition]. Upper Saddle River, New Jersey: Pearson, [2019].

• Programme N-LAN-A Master's, 1. year of study, winter semester, compulsory
  

In the first exercise we recall elementary notions from differential and integral calculus of one variable functions and foundations of linear algebra. Tutorial examples will be calculated. Further exercises will topically follow the lectures from the previous week.