ZUT - Polska Rama Kwalifikacji / Rok 2022/2023 / Wydział Ekonomiczny / Economics (S1) / Accounting and Finance in Economic Entities / Sylabus przedmiotu

Wydział Ekonomiczny - Economics (S1)
specjalność: Accounting and Finance in Economic Entities

Sylabus przedmiotu Descriptive statistics:

Informacje podstawowe

Kierunek studiów	Economics
Forma studiów	studia stacjonarne	Poziom	pierwszego stopnia
Tytuł zawodowy absolwenta	licencjat
Obszary studiów	charakterystyki PRK
Profil	ogólnoakademicki
Moduł	—
Przedmiot	Descriptive statistics
Specjalność	przedmiot wspólny
Jednostka prowadząca	Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny	Joanna Perzyńska <joanna.perzynska@zut.edu.pl>
Inni nauczyciele	Aneta Becker <aneta.becker@zut.edu.pl>, Katarzyna Wawrzyniak <Katarzyna.Wawrzyniak@zut.edu.pl>
ECTS (planowane)	5,0	ECTS (formy)	5,0
Forma zaliczenia	egzamin	Język	polski
Blok obieralny	—	Grupa obieralna	—

Formy dydaktyczne

Forma dydaktyczna	KOD	Semestr	Godziny	ECTS	Waga	Zaliczenie
wykłady	W	2	35	3,0	0,50	egzamin
laboratoria	L	2	30	2,0	0,50	zaliczenie

Wymagania wstępne

KOD	Wymaganie wstępne
W-1	The student has knowledge of the basics of mathematical analysis and general economic knowledge.
W-2	The student is able to use a spreadsheet.

Cele przedmiotu

KOD	Cel modułu/przedmiotu
C-1	Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
C-2	Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.

Treści programowe z podziałem na formy zajęć

KOD	Treść programowa	Godziny
laboratoria
T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.	4
T-L-2	Test: basic concepts and stages of statistical research.	1
T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.	8
T-L-4	Test: analysis of the structure.	2
T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.	6
T-L-6	Determination and interpretation of increments and individual indicators.	3
T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.	4
T-L-8	Test: analysis of interdependence and dynamics	2
		30
wykłady
T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).	7
T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).	10
T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).	8
T-W-4	STATISTICA in the analysis of the structure and interdependence of mass phenomena	2
T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).	8
		35

Obciążenie pracą studenta - formy aktywności

KOD	Forma aktywności	Godziny
laboratoria
A-L-1	Preparation for classes.	5
A-L-2	Studying the literature.	5
A-L-3	Homework (individual and group).	5
A-L-4	Preparation for tests.	5
A-L-5	Participation in classes.	30
		50
wykłady
A-W-1	Preparation to exam.	26
A-W-2	Studying the literature (exam).	12
A-W-3	Participation in lectures.	35
A-W-4	Exam.	2
		75

Metody nauczania / narzędzia dydaktyczne

KOD	Metoda nauczania / narzędzie dydaktyczne
M-1	Information-problem lecture using multimedia techniques.
M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.

Sposoby oceny

KOD	Sposób oceny
S-1	Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4	Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
Ec_1A_B06_W01 The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.	Ec_1A_W01, Ec_1A_W03, Ec_1A_W04, Ec_1A_W05, Ec_1A_W07, Ec_1A_W02, Ec_1A_W06	—	C-1, C-3	T-W-2, T-W-1, T-W-3, T-W-5, T-L-1, T-L-3, T-L-5, T-L-6, T-L-7	M-1, M-2	S-1, S-2, S-3, S-4
Ec_1A_B06_W02 The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.	Ec_1A_W01, Ec_1A_W03, Ec_1A_W04, Ec_1A_W07, Ec_1A_W02, Ec_1A_W06	—	C-2, C-3	T-L-1, T-L-3, T-L-5, T-L-6, T-L-7, T-W-4	M-1, M-2	S-2, S-3

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
Ec_1A_B06_U01 The student can organize a statistical survey, collect, present and analyze statistical material.	Ec_1A_U01, Ec_1A_U02, Ec_1A_U03, Ec_1A_U04, Ec_1A_U08, Ec_1A_U09, Ec_1A_U11, Ec_1A_U12, Ec_1A_U17, Ec_1A_U18	—	C-2, C-3	T-W-2, T-W-1, T-W-3, T-W-5, T-L-1, T-L-3, T-L-5, T-L-6, T-L-7	M-1, M-2	S-1, S-2, S-3, S-4
Ec_1A_B06_U02 Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.	Ec_1A_U01, Ec_1A_U02, Ec_1A_U03, Ec_1A_U04, Ec_1A_U07, Ec_1A_U08, Ec_1A_U09, Ec_1A_U11, Ec_1A_U12, Ec_1A_U17, Ec_1A_U18	—	C-1, C-2, C-3	T-W-2, T-W-1, T-W-3, T-W-5, T-L-1, T-L-3, T-L-5, T-L-6, T-L-7	M-1, M-2	S-1, S-2, S-3, S-4

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
Ec_1A_B06_K01 The student has mastered the principles of self-solving problems	Ec_1A_K01, Ec_1A_K04	—	C-1, C-2, C-3	T-W-2, T-W-1, T-W-3, T-W-5, T-L-1, T-L-3, T-L-5, T-L-6, T-L-7	M-1, M-2	S-1, S-2, S-3, S-4

Kryterium oceny - wiedza

Efekt uczenia się	Ocena	Kryterium oceny
Ec_1A_B06_W01 The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.	2,0	The student does not know the subject of research and basic concepts of descriptive statistics, does not know how to obtain and present statistical material, and can not indicate methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
	3,0	The student knows some of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and is able to indicate some methods of studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	3,5	The student knows most of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and can indicate a few methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	4,0	The student can independently enumerate and define all the basic notions of descriptive statistics, knows the subject of the research and how to obtain and present statistical material, as well as independently select appropriate methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	4,5	The student is able to name and define all the basic notions of descriptive statistics, knows the subject of the research and the ways of obtaining and presenting statistical data, and knows how to select adequate methods to investigate the regularities of the structure, interdependence and dynamics of socio-economic phenomena and justify their choice.
	5,0	The student knows the subject of research and all the required concepts of descriptive statistics, knows stages of statistical research, the ways of obtaining and presenting statistical data and is able to independently recognize the studied statistical regularity, independently propose appropriate statistical methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
Ec_1A_B06_W02 The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.	2,0	The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
	3,0	The student knows several modules of statistical packages and knows (with the teacher's help) how to use statistical knowledge to solve tasks on socio-economic issues.
	3,5	The student knows all the modules of the known statistical packages and knows (with the teacher's help) how to use the knowledge of statistics to solve (indicated by the teacher) tasks of socio-economic socio-economic problems.
	4,0	The student knows all the modules of the known statistical packages and knows how to use the knowledge possessed to solve (indicated by the teacher) tasks of socio-economic problems.
	4,5	The student knows all modules of known statistical packages and knows how to use their statistical knowledge to solve independently proposed tasks on socio-economic issues.
	5,0	The student is able to independently propose the use of appropriate statistical tools, knows how to assess their usefulness for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.The student knows how to use all the modules of known statistical packages.

Kryterium oceny - umiejętności

Efekt uczenia się	Ocena	Kryterium oceny
Ec_1A_B06_U01 The student can organize a statistical survey, collect, present and analyze statistical material.	2,0	The student can not organize a statistical survey, collect, present and analyze the statistical material.
	3,0	The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
	3,5	Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
	4,0	The student is able to organize a statistical survey by himself, however, presenting and analyzing the collected statistical material is done in cooperation with the teacher.
	4,5	The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
	5,0	The student is able to organize a statistical survey, acquire and present statistical material appropriate to the statistical regularity under examination, make a comprehensive comparative analysis and use the known statistical packages.
Ec_1A_B06_U02 Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.	2,0	The student can not apply appropriate methods and statistical tools and conduct statistical research.
	3,0	The student is able to apply some (indicated by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of the survey.
	3,5	The student is able to apply the indicated (by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of conducted research and tries to relate them to the economic practice.
	4,0	The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
	4,5	The student is able to apply the methods and statistical tools, interpret the results of the tests conducted and relate them to economic practice. The student is able to make the necessary calculations by using the known statistical packages together with the appropriate visualization.
	5,0	The student can apply all the methods and statistical tools known in the course, can assess their usefulness in studying regularities in the structure, interdependence and dynamics of socio-economic phenomena and justify their choice, to interpret the obtained results and to make the necessary calculations on their own, using the known statistical packages together with the appropriate visualization.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia się	Ocena	Kryterium oceny
Ec_1A_B06_K01 The student has mastered the principles of self-solving problems	2,0	The student has not mastered the principles of self-solving research problems.
	3,0	The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
	3,5	The student is able to conduct individual statistical research independently and organize group work.
	4,0	The student has mastered the principles of individual and team work, can independently organize and carry out individual or group research project, with the teacher's help, identify methods and tools needed to solve a defined problem and to make a preliminary analysis of obtained results.
	4,5	The student has mastered the principles of individual and team work, can independently organize and carry out individual or group research project, identify methods and tools needed to solve a defined problem and make a comprehensive analysis of the obtained results.
	5,0	The student has mastered the principles of individual and team work, can independently organize and carry out an individual or group research project, identify methods and tools needed to solve a defined problem, make a comprehensive analysis of the obtained results, use all the modules of the learned statistical packages.

Literatura podstawowa

D. R. Anderson, D. J. Sweeney, T. A. Williams, Statistics For Business And Economics, Cengage Learning, South-Western, 2011
A.D. Aczel, J. Sounderpandian, Complete Business Statistics, McGraw-Hill, 2008

Literatura dodatkowa

Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Statystyka opisowa. Przykłady i zadania, CeDeWu, Warszawa, 2015
Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Wzory i tablice. Metody statystyczne i ekonometryczne, CeDeWu, Warszawa, 2015

Treści programowe - laboratoria

KOD	Treść programowa	Godziny
T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.	4
T-L-2	Test: basic concepts and stages of statistical research.	1
T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.	8
T-L-4	Test: analysis of the structure.	2
T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.	6
T-L-6	Determination and interpretation of increments and individual indicators.	3
T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.	4
T-L-8	Test: analysis of interdependence and dynamics	2
		30

Treści programowe - wykłady

KOD	Treść programowa	Godziny
T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).	7
T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).	10
T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).	8
T-W-4	STATISTICA in the analysis of the structure and interdependence of mass phenomena	2
T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).	8
		35

Formy aktywności - laboratoria

KOD	Forma aktywności	Godziny
A-L-1	Preparation for classes.	5
A-L-2	Studying the literature.	5
A-L-3	Homework (individual and group).	5
A-L-4	Preparation for tests.	5
A-L-5	Participation in classes.	30
		50

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KOD	Forma aktywności	Godziny
A-W-1	Preparation to exam.	26
A-W-2	Studying the literature (exam).	12
A-W-3	Participation in lectures.	35
A-W-4	Exam.	2
		75

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	Ec_1A_B06_W01	The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_W01	He / she knows and understands at an advanced level the issues in the field of economics and finance, their place in the social sciences system and connections with other scientific disciplines
	Ec_1A_W03	He / she knows and understands at an advanced level the relations between social institutions and their structures on a national and international scale
	Ec_1A_W04	He / she knows and understands at an advanced level the types of social ties, their impact on the economy and the regularities that govern them
	Ec_1A_W05	He / she knows and understands at an advanced level the place and role of man as an entity creating and acting in socio-economic structures and the regularities related to their functioning
	Ec_1A_W07	He / she knows and understands at an advanced level the issues in the field of quantitative methods (including mathematics, statistics, econometrics and decision-making theory) and examples of their applications in economic practice
	Ec_1A_W02	He / she knows and understands at an advanced level the forms of social institutions (public, cultural, political, legal, economic) and their structures
	Ec_1A_W06	He / she knows and understands at an advanced level the methods and tools (including IT) of obtaining, processing and presenting data on socio-economic phenomena and processes
Cel przedmiotu	C-1	Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
Cel przedmiotu	C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programowe	T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
	T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
	T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
	T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).
	T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
	T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
	T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
	T-L-6	Determination and interpretation of increments and individual indicators.
	T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczania	M-1	Information-problem lecture using multimedia techniques.
Metody nauczania	M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób oceny	S-1	Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
	S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
	S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
	S-4	Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student does not know the subject of research and basic concepts of descriptive statistics, does not know how to obtain and present statistical material, and can not indicate methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
	3,0	The student knows some of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and is able to indicate some methods of studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	3,5	The student knows most of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and can indicate a few methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	4,0	The student can independently enumerate and define all the basic notions of descriptive statistics, knows the subject of the research and how to obtain and present statistical material, as well as independently select appropriate methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
	4,5	The student is able to name and define all the basic notions of descriptive statistics, knows the subject of the research and the ways of obtaining and presenting statistical data, and knows how to select adequate methods to investigate the regularities of the structure, interdependence and dynamics of socio-economic phenomena and justify their choice.
	5,0	The student knows the subject of research and all the required concepts of descriptive statistics, knows stages of statistical research, the ways of obtaining and presenting statistical data and is able to independently recognize the studied statistical regularity, independently propose appropriate statistical methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	Ec_1A_B06_W02	The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_W01	He / she knows and understands at an advanced level the issues in the field of economics and finance, their place in the social sciences system and connections with other scientific disciplines
	Ec_1A_W03	He / she knows and understands at an advanced level the relations between social institutions and their structures on a national and international scale
	Ec_1A_W04	He / she knows and understands at an advanced level the types of social ties, their impact on the economy and the regularities that govern them
	Ec_1A_W07	He / she knows and understands at an advanced level the issues in the field of quantitative methods (including mathematics, statistics, econometrics and decision-making theory) and examples of their applications in economic practice
	Ec_1A_W02	He / she knows and understands at an advanced level the forms of social institutions (public, cultural, political, legal, economic) and their structures
	Ec_1A_W06	He / she knows and understands at an advanced level the methods and tools (including IT) of obtaining, processing and presenting data on socio-economic phenomena and processes
Cel przedmiotu	C-2	Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
Cel przedmiotu	C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programowe	T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
	T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
	T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
	T-L-6	Determination and interpretation of increments and individual indicators.
	T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
	T-W-4	STATISTICA in the analysis of the structure and interdependence of mass phenomena
Metody nauczania	M-1	Information-problem lecture using multimedia techniques.
Metody nauczania	M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób oceny	S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Sposób oceny	S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
	3,0	The student knows several modules of statistical packages and knows (with the teacher's help) how to use statistical knowledge to solve tasks on socio-economic issues.
	3,5	The student knows all the modules of the known statistical packages and knows (with the teacher's help) how to use the knowledge of statistics to solve (indicated by the teacher) tasks of socio-economic socio-economic problems.
	4,0	The student knows all the modules of the known statistical packages and knows how to use the knowledge possessed to solve (indicated by the teacher) tasks of socio-economic problems.
	4,5	The student knows all modules of known statistical packages and knows how to use their statistical knowledge to solve independently proposed tasks on socio-economic issues.
	5,0	The student is able to independently propose the use of appropriate statistical tools, knows how to assess their usefulness for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.The student knows how to use all the modules of known statistical packages.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	Ec_1A_B06_U01	The student can organize a statistical survey, collect, present and analyze statistical material.
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_U01	He / she can use the possessed scientific knowledge to interpret socio-economic phenomena
	Ec_1A_U02	He / she can apply the possessed theoretical knowledge, properly selecting data, methods and tools, to formulate and solve unusual and complex problems related to socio-economic processes and phenomena, and to solve tasks in conditions that are not fully predictable
	Ec_1A_U03	He / she can plan and organise individual work and cooperate with other people as part of team activities
	Ec_1A_U04	He / she can identify market structures and select basic tools and methods of their analysis
	Ec_1A_U08	He / she can properly analyse the causes and the course of social processes and phenomena in the field of economics and finance
	Ec_1A_U09	He / she can forecast social processes and phenomena with the use of standard research methods
	Ec_1A_U11	He / she can analyse the indicated solutions to specific problems and propose appropriate solutions in this regard
	Ec_1A_U12	He / she can analyse social phenomena
	Ec_1A_U17	He / she is able to use information and communication technologies (ICT)
	Ec_1A_U18	He / she can evaluate his / her actions in terms of their economic, financial, legal and moral effects
Cel przedmiotu	C-2	Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
Cel przedmiotu	C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programowe	T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
	T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
	T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
	T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).
	T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
	T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
	T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
	T-L-6	Determination and interpretation of increments and individual indicators.
	T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczania	M-1	Information-problem lecture using multimedia techniques.
Metody nauczania	M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób oceny	S-1	Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
	S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
	S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
	S-4	Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student can not organize a statistical survey, collect, present and analyze the statistical material.
	3,0	The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
	3,5	Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
	4,0	The student is able to organize a statistical survey by himself, however, presenting and analyzing the collected statistical material is done in cooperation with the teacher.
	4,5	The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
	5,0	The student is able to organize a statistical survey, acquire and present statistical material appropriate to the statistical regularity under examination, make a comprehensive comparative analysis and use the known statistical packages.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	Ec_1A_B06_U02	Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_U01	He / she can use the possessed scientific knowledge to interpret socio-economic phenomena
	Ec_1A_U02	He / she can apply the possessed theoretical knowledge, properly selecting data, methods and tools, to formulate and solve unusual and complex problems related to socio-economic processes and phenomena, and to solve tasks in conditions that are not fully predictable
	Ec_1A_U03	He / she can plan and organise individual work and cooperate with other people as part of team activities
	Ec_1A_U04	He / she can identify market structures and select basic tools and methods of their analysis
	Ec_1A_U07	He / she is able to solve macro- and microeconomic problems with the use of various analytical tools, including modern information technologies
	Ec_1A_U08	He / she can properly analyse the causes and the course of social processes and phenomena in the field of economics and finance
	Ec_1A_U09	He / she can forecast social processes and phenomena with the use of standard research methods
	Ec_1A_U11	He / she can analyse the indicated solutions to specific problems and propose appropriate solutions in this regard
	Ec_1A_U12	He / she can analyse social phenomena
	Ec_1A_U17	He / she is able to use information and communication technologies (ICT)
	Ec_1A_U18	He / she can evaluate his / her actions in terms of their economic, financial, legal and moral effects
Cel przedmiotu	C-1	Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
	C-2	Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
	C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programowe	T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
	T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
	T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
	T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).
	T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
	T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
	T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
	T-L-6	Determination and interpretation of increments and individual indicators.
	T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczania	M-1	Information-problem lecture using multimedia techniques.
Metody nauczania	M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób oceny	S-1	Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
	S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
	S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
	S-4	Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student can not apply appropriate methods and statistical tools and conduct statistical research.
	3,0	The student is able to apply some (indicated by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of the survey.
	3,5	The student is able to apply the indicated (by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of conducted research and tries to relate them to the economic practice.
	4,0	The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
	4,5	The student is able to apply the methods and statistical tools, interpret the results of the tests conducted and relate them to economic practice. The student is able to make the necessary calculations by using the known statistical packages together with the appropriate visualization.
	5,0	The student can apply all the methods and statistical tools known in the course, can assess their usefulness in studying regularities in the structure, interdependence and dynamics of socio-economic phenomena and justify their choice, to interpret the obtained results and to make the necessary calculations on their own, using the known statistical packages together with the appropriate visualization.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	Ec_1A_B06_K01	The student has mastered the principles of self-solving problems
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_K01	He / she is ready to define priorities for the implementation of tasks set by himself / herself or others
Odniesienie do efektów kształcenia dla kierunku studiów	Ec_1A_K04	He / she is willing to think and act in an entrepreneurial manner
Cel przedmiotu	C-1	Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
	C-2	Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
	C-3	Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programowe	T-W-2	Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
	T-W-1	Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
	T-W-3	Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
	T-W-5	Analysis of time series (methods of testing short-term changes, decomposition of time series).
	T-L-1	Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
	T-L-3	Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
	T-L-5	Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
	T-L-6	Determination and interpretation of increments and individual indicators.
	T-L-7	Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczania	M-1	Information-problem lecture using multimedia techniques.
Metody nauczania	M-2	Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób oceny	S-1	Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
	S-2	Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
	S-3	Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
	S-4	Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student has not mastered the principles of self-solving research problems.
	3,0	The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
	3,5	The student is able to conduct individual statistical research independently and organize group work.
	4,0	The student has mastered the principles of individual and team work, can independently organize and carry out individual or group research project, with the teacher's help, identify methods and tools needed to solve a defined problem and to make a preliminary analysis of obtained results.
	4,5	The student has mastered the principles of individual and team work, can independently organize and carry out individual or group research project, identify methods and tools needed to solve a defined problem and make a comprehensive analysis of the obtained results.
	5,0	The student has mastered the principles of individual and team work, can independently organize and carry out an individual or group research project, identify methods and tools needed to solve a defined problem, make a comprehensive analysis of the obtained results, use all the modules of the learned statistical packages.