Infopaket

Mathematical demography and modeling of random processes. Module 1. Mathematical demography

Вибіркова дисципліна для ОП

First

2022/2023

6 Semester

2

Know and understand the basic models of births, growth, movement and mortality. Be able to calculate or evaluate 40 basic numerical indicators of demographic models; calculate forecast values and their accuracy. Demonstrate the ability to self-study and continue professional development. Be able to organize their own activities and get results within a limited time. Demonstrate skills of interaction with other people, ability to work in teams.

Full-time form

Know: basics of discrete mathematics, probability theory and mathematical statistics Be able to: formalize the conditions of problems and make a solution plan Have basic skills: solve typical problems in probability theory, mathematical statistics and discrete mathematics.

The discipline "Mathematical Demography" is an integral part of the cycle of professional training of specialists of educational and qualification level "Bachelor"; it includes the study of models of births, growth, movement, mortality. It is also mandatory to master the basic formulas and methods of their application. Particular attention is paid to the application of stochastic and deterministic models of mathematics in the study of models of births, growth, movement and mortality. Students are introduced to the basic definitions, given the interpretation of formulas. In addition to the classic sections, the issues of population growth on the Earth, socio-economic aspects of demography and life insurance are considered. Discipline is the discipline of choice. Taught in the 6th semester, 75 hours. (2 ECTS credits), of which lectures - 34 hours, consultations - 1 hour, independent work - 40 hours. There are 2 content parts and an exam.

1. Demographic encyclopedic dictionary / Editor-in-Chief. Valenty DI M .: Soviet encyclopedia - 1985 2. Staroverov OV The basics of mathematical demography. M .: Nauka, 1997. 3. Staroverov OV, Kotelnikova SN, Modeling of socio-economic. 4. The system of knowledge about the population / Ed. DI Valentea. M .: Higher School, 1991. 5. Falin GI Mathematical foundations of life insurance theory and pension systems. M .: Ankil, 2002. 6. Bartholomew D. Stochastic models of social processes. M .: Finn. et al., 1985. 7. Lotka A., Length of life, N. Y., 1936

Lecture, individual work

Current assessment, control work, exams

Ukrainian