Education Activity

The Department of Applied Statistics has the fundamental program of teaching. A principal accent is done on practical applications of probabilistic-statistical methods, usage of the computing engineering and computer networks.

At the department in 2012 we developed an online program Index to test the practical knowledge and skills on any directions and disciplines. The sections on probability theory and statistics, and a section on logical problems have already been implemented within the framework of Index. More...

The collective of the department provides conducting of lectures, seminars and practices of a number of normative disciplines and special courses of probabilistic-statistical, economic, financial and insurance direction.

Normative disciplines:

  • Probability Theory & Mathematical Statistics (lecturers: Full Professor Eugene A. Lebedev, Associate Professor Alexander A. Chechelnitsky, Associate Professor Irina V. Rozora, Associate Professor Myhaylo M. Sharapov),
  • Random Processes (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Data Analysis (lecturer: Associate Professor Alexander S. Slabospitsky),
  • Econometrics (lecturer: Associate Professor Irina V. Rozora),
  • Actuarial Mathematics (lecturer: Full Professor Eugene A. Lebedev),
  • Packages for Data Processing (lecturer: Associate Professor Alexander S. Slabospitsky),
  • Mathematical Risk Theory & Insurance Business (lecturer: Associate Professor Alexander A. Chechelnitsky),
  • Methods and Models of Social Information Processing,
  • Finance Mathematics,
  • Complementary Chapters of Finance Mathematics (lecturer: Full Professor Pavlo S. Knopov).

Students of the Department of Applied Statistics have opportunity to extend their knowledges, visiting a wide spectrum of the special courses.

Special courses:

  • Queueing Theory (lecturer: Full Professor Eugene A. Lebedev),
  • Stochastic Networks (lecturer: Full Professor Eugene A. Lebedev),
  • Optimization of Stochastic Systems (lecturer: Full Professor Eugene A. Lebedev),
  • Stochastic Models of Network Structures (lecturer: Full Professor Eugene A. Lebedev),
  • Stochastic Systems: Risk and Control (lecturer: Full Professor Pavlo S. Knopov),
  • Methods of Regression Analysis (lecturer: Full Professor Pavlo S. Knopov),
  • Estimation and Recognition Methods of Stochastic Systems (lecturer: Full Professor Pavlo S. Knopov),
  • Controlled Random Processes (lecturer: Full Professor Pavlo S. Knopov),
  • Symmetric Cryptography (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Asymmetric Cryptography and Cryptosystems with Public Key) (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Cryptographic Security Methods of Information (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Mathematical Methods of Realization of Cryptographic Protocols (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Introduction into Cryptoanalysis (lecturer: Full Professor Mykhaylo M. Savchuk),
  • Decompositions methods of discrete optimization (lecturer: Doctor of Sciences (Physics & Mathematics), Leading Scientific Researcher Natalia V.Semenova),
  • Mathematical Models of Retirement and Medical insurance (lecturer: Associate Professor Alexander A. Chechelnitsky),
  • Simulation of Stochastic Processes (lecturer: Associate Professor Irina V. Rozora),
  • Estimation Theory for Systems under Uncertainty Conditions (lecturer: Associate Professor Alexander S. Slabospitsky),
  • Identification Theory (lecturer: Associate Professor Alexander S. Slabospitsky),
  • Information Resources of Computer Networks (lecturer: Associate Professor Alexander S. Slabospitsky),
  • Mathematical Demography (lecturer: Associate Professor Myhaylo M. Sharapov),
  • Algorithms and Methods of Applied Statistics (lecturer: Associate Professor Myhaylo M. Sharapov),
  • Sufficient Statistics (lecturer: Associate Professor Myhaylo M. Sharapov),
  • Probabilistic Bases of Imitation Modelling Method (lecturer: Associate Professor Myhaylo M. Sharapov),
  • Mathematical Methods of Economic Risk Measurement (lecturer: Assistant Professor Igor A. Makushenko).

The senior students of the department participate in work of variety of scientific student seminars and are engaged in scientific researches in Probabilistic-Statistical Methods Laboratory at the Department of Applied Statistics. They have opportunity to attend the reports of leading domestic and foreign specialists on the meetings of interdepartment scientific seminars jointly with the departments of System Analysis and Decision Making Theory and Operation Research, other scientific seminars of cybernetics faculty and university.

The students of the department successfully use obtained knowledges for writing of final qualifying works of bachelors, diploma works of specialists, final qualifying works of master's degrees.

The best students of the department in future have an opportunity to research and have postgraduate study in the Department of Applied Statistics.