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Statistcs and historial demography

General data

Course ID: WNHS-HI-SDH
Erasmus code / ISCED: 08.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0222) History and archaeology The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Statistcs and historial demography
Name in Polish: Statystyka i demografia historyczna
Organizational unit: Faculty of Historical Sciences
Course groups:
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się:

history
Subject level:

elementary
Learning outcome code/codes:

HI2_WO2, HI2_W04, HI2_W07, HI2_W09

HI2_U02, HI2_U05, HI2_U06

HI2_K01
Preliminary Requirements:

No entry requirements
Full description:

The program includes 30 hours of classes per semester. The educational goal is to introduce the use and understanding of basic statistical methods used both in economic and sical history, and in historical demography. Moreover, I would like to convince the participants that statistics is an important tool in the historian's workshop, allowing the detection of regularities that are invisible to the naked eye or are falsely assessed.
Efekty kształcenia i opis ECTS:

After crediting the course participants will:

- know basic statistical methods;

- be able to understand reports of statistical research;

- be able to design a research plan using statistical methods
Assessment methods and assessment criteria:

Test comprising of 11 cosed questions. MInimum level for crediting 60%.

Classes in period "Winter semester 2021/22" (past)

Time span: 2021-10-01 - 2022-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Lectures, 30 hours, 40 places more information
Coordinators: Michał Kopczyński
Group instructors: Michał Kopczyński
Students list: (inaccessible to you)
Examination: Course - examination
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning (pełny kurs) z podziałem na grupy
Type of subject:

obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Classes in period "Winter semester 2022/23" (past)

Time span: 2022-10-01 - 2023-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Lectures, 30 hours, 35 places more information
Coordinators: Michał Kopczyński
Group instructors: Michał Kopczyński
Students list: (inaccessible to you)
Examination: Course - examination
Lectures - examination
Type of subject:

obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Lectures, 30 hours, 25 places more information
Coordinators: Michał Kopczyński
Group instructors: Michał Kopczyński
Students list: (inaccessible to you)
Examination: Course - examination
Lectures - examination
Type of subject:

obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy
Course descriptions are protected by copyright.
Copyright by Cardinal Stefan Wyszynski University in Warsaw.
ul. Dewajtis 5,
01-815 Warszawa tel: +48 22 561 88 00 https://uksw.edu.pl contact accessibility statement USOSweb 7.0.3.0-1 (2024-04-02)