Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Ekonomiczny - Economics (S1)

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 dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW2 35 3,00,50egzamin
laboratoriaL2 30 2,00,50zaliczenie

Wymagania wstępne

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

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Obtaining 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-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation 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

KODTreść programowaGodziny
laboratoria
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.4
T-L-2Test: basic concepts and stages of statistical research.1
T-L-3Calculation 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-4Test: analysis of the structure.2
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.3
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.4
T-L-8Test: analysis of interdependence and dynamics2
30
wykłady
T-W-1Subject 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-2Analysis 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-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).8
T-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena2
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).8
35

Obciążenie pracą studenta - formy aktywności

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

Metody nauczania / narzędzia dydaktyczne

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

Sposoby oceny

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

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób 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_W06C-1, C-3T-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-7M-1, M-2S-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_W06C-2, C-3T-L-1, T-L-3, T-L-5, T-L-6, T-L-7, T-W-4M-1, M-2S-2, S-3

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób 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_U18C-2, C-3T-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-7M-1, M-2S-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_U18C-1, C-2, C-3T-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-7M-1, M-2S-1, S-2, S-3, S-4

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B06_K01
The student has mastered the principles of self-solving problems
Ec_1A_K01, Ec_1A_K04C-1, C-2, C-3T-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-7M-1, M-2S-1, S-2, S-3, S-4

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium 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.
2,0The 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.
3,0The 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.
3,5The 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.
4,0The 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.
4,5The 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.
5,0The 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.
2,0The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
3,0The 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.
3,5The 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.
4,0The 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.
4,5The 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.
5,0The 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 sięOcenaKryterium oceny
Ec_1A_B06_U01
The student can organize a statistical survey, collect, present and analyze statistical material.
2,0The student can not organize a statistical survey, collect, present and analyze the statistical material.
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
4,0The 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.
4,5The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
5,0The 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.
2,0The student can not apply appropriate methods and statistical tools and conduct statistical research.
3,0The 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.
3,5The 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.
4,0The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
4,5The 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.
5,0The 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 sięOcenaKryterium oceny
Ec_1A_B06_K01
The student has mastered the principles of self-solving problems
2,0The student has not mastered the principles of self-solving research problems.
3,0The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
3,5The student is able to conduct individual statistical research independently and organize group work.
4,0The 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.
4,5The 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.
5,0The 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

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

Literatura dodatkowa

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

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.4
T-L-2Test: basic concepts and stages of statistical research.1
T-L-3Calculation 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-4Test: analysis of the structure.2
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.3
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.4
T-L-8Test: analysis of interdependence and dynamics2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Subject 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-2Analysis 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-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).8
T-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena2
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).8
35

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Preparation for classes.5
A-L-2Studying the literature.5
A-L-3Homework (individual and group).5
A-L-4Preparation for tests.5
A-L-5Participation in classes.30
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Preparation to exam.26
A-W-2Studying the literature (exam).12
A-W-3Participation in lectures.35
A-W-4Exam.2
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_W01The 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 studiówEc_1A_W01He / 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_W03He / she knows and understands at an advanced level the relations between social institutions and their structures on a national and international scale
Ec_1A_W04He / 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_W05He / 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_W07He / 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_W02He / she knows and understands at an advanced level the forms of social institutions (public, cultural, political, legal, economic) and their structures
Ec_1A_W06He / 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 przedmiotuC-1Obtaining 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-3Preparation 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 programoweT-W-2Analysis 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-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria ocenyOcenaKryterium oceny
2,0The 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.
3,0The 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.
3,5The 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.
4,0The 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.
4,5The 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.
5,0The 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.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_W02The 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 studiówEc_1A_W01He / 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_W03He / she knows and understands at an advanced level the relations between social institutions and their structures on a national and international scale
Ec_1A_W04He / 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_W07He / 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_W02He / she knows and understands at an advanced level the forms of social institutions (public, cultural, political, legal, economic) and their structures
Ec_1A_W06He / 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 przedmiotuC-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation 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 programoweT-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
T-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
3,0The 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.
3,5The 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.
4,0The 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.
4,5The 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.
5,0The 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.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_U01The student can organize a statistical survey, collect, present and analyze statistical material.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U01He / she can use the possessed scientific knowledge to interpret socio-economic phenomena
Ec_1A_U02He / 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_U03He / she can plan and organise individual work and cooperate with other people as part of team activities
Ec_1A_U04He / she can identify market structures and select basic tools and methods of their analysis
Ec_1A_U08He / she can properly analyse the causes and the course of social processes and phenomena in the field of economics and finance
Ec_1A_U09He / she can forecast social processes and phenomena with the use of standard research methods
Ec_1A_U11He / she can analyse the indicated solutions to specific problems and propose appropriate solutions in this regard
Ec_1A_U12He / she can analyse social phenomena
Ec_1A_U17He / she is able to use information and communication technologies (ICT)
Ec_1A_U18He / she can evaluate his / her actions in terms of their economic, financial, legal and moral effects
Cel przedmiotuC-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation 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 programoweT-W-2Analysis 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-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria ocenyOcenaKryterium oceny
2,0The student can not organize a statistical survey, collect, present and analyze the statistical material.
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
4,0The 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.
4,5The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
5,0The 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.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_U02Student 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 studiówEc_1A_U01He / she can use the possessed scientific knowledge to interpret socio-economic phenomena
Ec_1A_U02He / 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_U03He / she can plan and organise individual work and cooperate with other people as part of team activities
Ec_1A_U04He / she can identify market structures and select basic tools and methods of their analysis
Ec_1A_U07He / she is able to solve macro- and microeconomic problems with the use of various analytical tools, including modern information technologies
Ec_1A_U08He / she can properly analyse the causes and the course of social processes and phenomena in the field of economics and finance
Ec_1A_U09He / she can forecast social processes and phenomena with the use of standard research methods
Ec_1A_U11He / she can analyse the indicated solutions to specific problems and propose appropriate solutions in this regard
Ec_1A_U12He / she can analyse social phenomena
Ec_1A_U17He / she is able to use information and communication technologies (ICT)
Ec_1A_U18He / she can evaluate his / her actions in terms of their economic, financial, legal and moral effects
Cel przedmiotuC-1Obtaining 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-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation 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 programoweT-W-2Analysis 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-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria ocenyOcenaKryterium oceny
2,0The student can not apply appropriate methods and statistical tools and conduct statistical research.
3,0The 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.
3,5The 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.
4,0The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
4,5The 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.
5,0The 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.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_K01The student has mastered the principles of self-solving problems
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_K01He / she is ready to define priorities for the implementation of tasks set by himself / herself or others
Ec_1A_K04He / she is willing to think and act in an entrepreneurial manner
Cel przedmiotuC-1Obtaining 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-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation 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 programoweT-W-2Analysis 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-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination 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-6Determination and interpretation of increments and individual indicators.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
Kryteria ocenyOcenaKryterium oceny
2,0The student has not mastered the principles of self-solving research problems.
3,0The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
3,5The student is able to conduct individual statistical research independently and organize group work.
4,0The 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.
4,5The 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.
5,0The 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.