Statistical methods in social studies Field of study: E-learning in Cultural Diversity
Programme code: 12-S2EZ17.2019

Module name:	Statistical methods in social studies
Module code:	12-EZ-S2-MSBS
Programme code:	12-S2EZ17.2019
Semester:	summer semester 2020/2021 summer semester 2019/2020
Language of instruction:	English
Form of verification:	exam
ECTS credits:	5
Description:	The aim of the module is to make students understand the basics and help them to gain the intuition in using basic methods of the classical statistics, both its descriptive methods and statistical inference for one or many random variables.
Prerequisites:	Mathematics, secondary school, basic level.
Key reading:	1. J. Jóźwiak, J. Podgórski, „Statystyka od Podstaw”, PWN,1998. 2. Pluciński, Plucińska, Rachunek Prawdopodobieństwa. Statystyka Matematyczna. Procesy Stochastyczne

Learning outcome of the module	Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
has deep awareness of the level of skills and abilities, understands the need of constant professional and self-development [_K_1]	K_K01 [4/5]
understanding the basics of mathematics and gaining intuition in employing practical methods of classic statistics [_U_1]	K_U05 [4/5]
the ability to perform basic analysis of statistical phenomenon [_U_2]	K_U05 [4/5]
the ability to perform statistical inference with regard to e-learning efficiency [_U_3]	K_U05 [4/5]
knows the basic concept of statistics, the basic estimation theory, the methods of statistical hypothesis testing, the scope and methods of descriptive statistics, the concept of correlation and basic analysis techniques [_W_1]	K_W06 [4/5]

Type	Description	Codes of the learning outcomes of the module to which assessment is related
Written test [_w_1]	A student, independently, solves a problem which is later on accessed by the lecturer.	_U_1 _U_2 _U_3 _W_1
Written exam [_w_2]	The lecturer grades student's knowledge and skills.	_W_1
Project [_w_3]	A student, in group work, prepares a computer application to assess psychological analysis of a chosen phenomenon.	_K_1 _U_1 _U_2 _U_3

Form of teaching			Student's own work		Assessment of the learning outcomes
Type	Description (including teaching methods)	Number of hours	Description	Number of hours
lecture [_fs_1]	Student rozwiązuje problemy z pomocą wykładowcy.	15	Student solves problems with the lecturer assistance.	35	Written test [_w_1] Written exam [_w_2]
laboratory classes [_fs_2]	The instructor presents practical problems together with solutions to the individual cases. The instructor formulates and presents problems for the student to solve.	15	The student solves problems with her/his instructor’s assistance. The student presents the results of her/his own work.	35	Project [_w_3]

Attachments
Module description (PDF)

Information concerning module syllabuses might be changed during studies.

Syllabuses (USOSweb)
Semester	Module	Language of instruction
(no information given)