Study program / study programs: INFORMATION TECHNOLOGY

Type and level of studies: Undergraduate applied studies


Status: Mandatory

ECTS credits: 7

Course objective

The objective of the course is the mastering of elements of combinatorics, probability, statistics and financial mathematics, which are often encountered in modeling and software problem-solving, and thereby necessary for future IT managers and programmers.

Course outcome

The students will learn the fundamentals of combinatorics, the differences between combinations and variations, random event field and space, the difference between related and unrelated events, the application of Bayes’ formula, discrete and continuous variables, random variable density function, Poisson distribution, hypergeometric distribution, Gaussian distribution, statistical data recording and collection, statistical series, statistical tables, surface diagrams, calculating the arithmetic, geometric and harmonic mean,calculating mode in interval series, variation distance, variance and standard variation, calculating the mean deviation, kurtosis coefficient, interest calculus, percentage calculus.

Course content

Theoretical teaching

  • Combinatorics
  • Probability theory
  • Random events
  • Conditional probability
  • Random variables and vectors
  • Random variable distribution
  • Mathematical statistics
  • Financial mathematics, percentage calculus, interest calculus

Practical classes: exercises, other forms of teaching, study research activities.

Exercises imply solving tasks that illustrate the application of the concepts introduced in theoretical teaching.