Enabling students in abstract thinking and acquiring basic knowledge in the field of advanced mathematics and mathematical statistics.

Acquired knowledge is used in solving mathematical models in professional courses.

Basic notions in the series theory (number and power series). Basic notions in multiple integrations (double, triple, line and surface integrals). Basic notions in the probability theory (classical probability and random variables). Statistic research. Numerical processing of statistic data. Confidence intervals. Testing statistic hypotheses. Linear regression.

At lectures, theory is presented to students and illustrated with relevant examples. At auditory and laboratory practice, student solve concrete tasks that supplement the theoretical course content. Teacher and assistant help students in mastering the course content during consultations. Examination comprises 4 tests and 4 partial examinations taken in written form. Examination grade is formed on the basis of lecture attendance and points from tests and partial examinations.