Biodemography

advanced

BI2_W02, BI2_U01, BI2_U03, BI2_U04, BI2_U07, BI2_K01, BI2_K05

Use of demographic methods in human biology, especially in relations to fertility, mortality, breeding and ecology. Human biological characteristics as determinants of demographic processes.

Demography as a quantitative description of human populations. Distribution of people in geographic space, in political and national units. Relations between populations and their environments – population density as a function of ecological conditions, population needs and their exploitative abilities. Population structure by sex, age and specific characteristics: economic roles, education, ethnicity.

Migrations: marital exchanges, seasonal economic migrations, mass migrations. Their impact on population structures by age, sex, social and ethnic composition.

Natural population movements. The concept of reproduction, reproduction measures, life table analysis, age, marital status, age specific fertility rates. Birth control. Natural increase and its measurement. Breeding systems and their influence on demographic indices. Epidemiological transitions and demographic changes. Demographic forecasts, their methods and interpretations.

Basic literature:

1. Holzer J. Z., 2003: Demografia, Wyd. 6 zm., PWE, Warszawa

2. Kuklo C., 2009: Demografia Rzeczypospolitej Przedrozbiorowej, Wydawnictwo DiG, Warszawa

3. Gieysztorowa I., 1976: Wstęp do demografii staropolskiej, PWN, Warszawa

4. Antropologia, 1985, red. Malinowski A., Strzałko J., PWN,

Warszawa, Poznań

Supplementary reading:

1. Pressat, R., 1966. Analiza demograficzna. Metody, wyniki, zastosowania Warszawa: Wydawnictwo Naukowe PWN

2. Budnik A., 2005. Uwarunkowania stanu i dynamiki biologicznej populacji kaszubskich w Polsce. Studium antropologiczne, Wydawnictwo Naukowe UAM, Poznań

3. Budnik A., 2008. Przejścia epidemiczne na ziemiach polskich [w:] Epidemie, klęski, wojny, (red.) W. Dzieduszycki, J. Wrzesiński, SNAP, Poznań, 53-66

4. Budnik A., 2010. Demografia historyczna i paleopatologia. Na co mogli umierać nasi przodkowie? [w:] Biokulturowe uwarunkowania stanu zdrowia populacji ludzkich w okresie średniowiecza, (red.) T. Kozłowski, A. Drozd, Wydawnictwo DN-Wrocław, Wrocław, 3-16

5. Budnik A., 2014. The Second Epidemiologic Transition In Western Poland. Chapter 8 [in:] Modern Environments and Human Health. Revisiting the Second Epidemiologic Transition, (ed.) M. K. Zuckerman, Wiley – Blackwell, Hoboken, New Jersey, 139-161

6. Budnik A., K. Fiszer, K. Białas, 2009. Wartość informacyjna analiz biodemograficznych w badaniach przeszłości człowieka [w:] Metody. Źródła. Dokumentacja, (red.) W. Dzieduszycki, J. Wrzesiński, Stowarzyszenie Naukowe Archeologów Polskich, Poznań, 49-65

7. Budnik A., Liczbińska G., 2006, Urban and rural differences In mortality and causes of heath in historical Poland, American Journal of Physical Anthropology 129, 294-304

8. Budnik A., Liczbińska G., Gumna I., 2004, Demographic trends and biological status of historic populations from Central Poland: the Ostrów Lednicki microregion. American Journal of Physical Anthropology 125, 369-381

9. Henneberg M., 1976, Reproductive Possibilitie of Earlier Human Populations, Przegłąd Antropologiczny 41, 75-89

10. Henneberg M., 1977, Ocena dynamiki biologicznej wielkopolskiej dziewiętnastowiecznej populacji wiejskiej. I. Ogólna charakterystyka demograficzna, Przegląd Antropologiczny 43, 67-89

11. Henneberg M., 1977, Ocena dynamiki biologicznej wielkopolskiej dziewiętnastowiecznej populacji wiejskiej. II. System kojarzeń i płodność, Przegląd Antropologiczny 43, 245-271

12. Henneberg M., 1978, Ocena dynamiki biologicznej wielkopolskiej dziewiętnastowiecznej populacji wiejskiej. III. Opis stanu puli genów na podstawie danych demograficznych, Przegląd Antropologiczny 44, 33-52

13. Henneberg M., Piontek J., 1975, Biological State Index of Human Groups, Przegląd Antropologiczny 41, 191-200

14. Liczbińska G., 2009, Umieralność i jej uwarunkowania wśród katolickiej i ewangelickiej ludności historycznego Poznania, Biblioteka Telgte, Poznań

15. Piasecki E., 1990, Ludność parafii bejskiej (woj. kieleckie) w swietle ksiąg metrykalnych z XVIII-XX w., PWN, Warszawa-Wrocław

16. Strzałko J., Henneberg M., Piontek J., 1980. Populacje ludzkie jako systemy biologiczne. PWN, Warszawa.

Knowledge:

The subject learning effect 2 - student is based on empirical foundations in the interpretation of biodemographic phenomena and fully understands the importance of mathematical methods and statistical IT tools used in biodemography

Skills:

The subject learning effect 5 - student is able to use advanced techniques and research tools for biodemography, IT and statistical techniques to describe phenomena and analysis of biodemographic data

The subject learning effect 6 - the student is able to formulate and test hypotheses related to research problems in the field of biodemography

The subject learning effect 7 - the student is able to use their knowledge, collect and interpret empirical data from various sources and on this basis formulate conclusions in the field of biodemography

The subject learning effect 8 - student is able to use literature in the field of biodemography in English

Social competence:

The subject learning effect 9 - the student recognizes the importance of knowledge in solving cognitive problems in the field of biodemography, is ready to update knowledge in this area and knows its practical applications

The subject learning effect 10 - the student is ready to set priorities for the implementation of his or other tasks in the field of biodemography

ECTS - lectures and practical classes: 5

Practical classes: 3

Participation in practical classes: 30 hours

Consultations: 15 hours

Preparation for practical classes: 15 hours

Development of the report of the performed exercises: 30 hours

Total: 90 hours

ECTS: 90/30=3

Assessment criteria:

Knowledge

Grade 2 (fail): the student does not rely on empirical foundations in the interpretation of biodemographic phenomena and does not understand the importance of mathematical methods and statistical IT tools used in biodemography

Grade 3 (sufficient): the student is based to a limited extent on empirical foundations in the interpretation of biodemographic phenomena, and to a limited extent understands the importance of mathematical methods and statistical IT tools used in biodemography

Grade 4 (good): the student is based on empirical foundations in the interpretation of biodemographic phenomena and understands well the importance of mathematical methods and statistical IT tools used in biodemography

Grade 5 (excellent): the student is based on empirical foundations in the interpretation of biodemographic phenomena and understands very well the importance of mathematical methods and statistical IT tools used in biodemography

Skills

Grade 2 (fail): the student is not able to use advanced techniques and research tools for biodemography, IT and statistical techniques to describe phenomena and analysis of biodemographic data; formulate and test hypotheses related to research problems in the field of biodemography; to use their knowledge, collect and interpret empirical data from various sources and on that basis formulate conclusions in the field of biodemography; use biodemographic literature in English

Grade 3 (sufficient): the student is not able to fully use advanced techniques and research tools of biodemography, IT and statistical techniques to describe phenomena and analysis of biodemographic data; formulate and test hypotheses related to research problems in the field of biodemography; to use their knowledge, collect and interpret empirical data from various sources and on that basis formulate conclusions in the field of biodemography; use biodemographic literature in English

Grade 4 (good): the student is able to apply well advanced techniques and research tools of biodemography, IT and statistical techniques to describe phenomena and analysis of biodemographic data; is able to apply well formulate and test hypotheses related to research problems in the field of biodemography; to use their knowledge, collect and interpret empirical data from various sources and on that basis formulate conclusions in the field of biodemography; use biodemographic literature in English

Grade 5 (excellent): the student can very well use advanced techniques and research tools of biodemography, IT and statistical techniques to describe phenomena and analysis of biodemographic data; is able to apply very well formulate and test hypotheses related to research problems in the field of biodemography; to use very well their knowledge, collect and interpret empirical data from various sources and on that basis formulate conclusions in the field of biodemography; use biodemographic literature in English

Social competence

Grade 2 (fail): the student does not recognize the importance of knowledge in solving cognitive problems in the field of biodemography, is not ready to update knowledge in this area and does not know its practical applications; is not ready to set priorities for carrying out the task in the field of biodemography specified by himself or others

Grade 3 (sufficient): the student has limited recognition of the importance of knowledge in solving cognitive problems in the field of biodemography, is ready to update knowledge in this area and knows its practical applications to a limited extent; to a limited extent is ready to set priorities for carrying out the task in the field of biodemography specified by himself or others

Grade 4 (good): the student recognizes the importance of knowledge in solving cognitive problems in the field of biodemography well, is ready to update knowledge in this area and knows its practical applications well; is ready to set priorities for carrying out the task in the field of biodemography specified by himself or others

Grade 5 (excellent): the student recognizes the importance of knowledge in solving cognitive problems in the field of biodemography very well, is ready to update knowledge in this area and knows its practical applications very well; is very well prepared to set priorities for carrying out the task in the field of biodemography specified by himself or others

Practical classes:

Teaching methods:

Problem based practical tasks and group discussions. Students are given sheets specifying problems that they must solve selecting appropriate methods and carrying out calculations and sometimes plotting graphs. Their results are interpreted and discussed with other students

Assessment methods:

Attendance and activity during practical classes, solutions of practical problems and presentation of written reports of practical activities

Final grade:

94-100% - 5

93-88% - 4,5

87-80% - 4

79-70% - 3,5

69-60% - 3

less than 59.9% - 2