Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Statistics:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Statistics
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny Joanna Perzyńska <joanna.perzynska@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 10 1,00,50zaliczenie
laboratoriaL1 30 3,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Completed courses of mathematics

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The student should gain basic knowledge about gathering and presentation of statistical data and various methods used in analysis of structure, dynamic and association
C-2The student should be able to make statistical analysis in various statistical programs (eg. Statistica)

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 material1
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure12
T-L-3Practical test 11
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function9
T-L-5Determination and interpretation of increments and individual indicators2
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations4
T-L-7Practical test 21
30
wykłady
T-W-1Tabular and graphical presentation of data1
T-W-2Numerical measures of location, variability and distribution shape3
T-W-3Measures of association between two variables and regression analysis3
T-W-4Statistical time series analysis2
T-W-5Theory test1
10

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes30
A-L-2Preparation for the classes25
A-L-3Preparation for practical tests20
75
wykłady
A-W-1Participation in classes10
A-W-2Own work5
A-W-3Preparation for theory test10
25

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture with multimedial presentation
M-2Exercises during laboratories

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: In-class activity and participation
S-2Ocena podsumowująca: Written tests

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
WM-WEKON_1-_STA_W01
The student will gain basic knowledge about presentation and analysis of statistical data, application of computer software to solving statistical problems, use of statistical method for the analysis of economic and managerial issues
C-1, C-2T-W-4, T-W-1, T-W-3, T-W-2, T-L-1, T-L-6, T-L-5, T-L-2, T-L-4M-1S-2

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
WM-WEKON_1-_STA_U01
The student can organize a statistical survey, collect, present and analyze statistical material
C-1, C-2T-W-4, T-W-1, T-W-3, T-W-2, T-L-1, T-L-6, T-L-5, T-L-2, T-L-4M-1, M-2S-1, S-2
WM-WEKON_1-_STA_U02
The 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
C-1, C-2T-W-4, T-W-1, T-W-3, T-W-2, T-L-1, T-L-6, T-L-5, T-L-2, T-L-4M-1, M-2S-1, S-2

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
WM-WEKON_1-_STA_K01
The student mastered the principles of individual and group work
C-1, C-2T-W-5, T-L-1, T-L-7, T-L-6, T-L-3, T-L-5, T-L-2, T-L-4M-1, M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_STA_W01
The student will gain basic knowledge about presentation and analysis of statistical data, application of computer software to solving statistical problems, use of statistical method for the analysis of economic and managerial issues
2,0
3,0The student has basic knowlage about measures used in analysis of the structure, interdependence and dynamics of socio-economic phenomena.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_STA_U01
The student can organize a statistical survey, collect, present and analyze statistical material
2,0
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5
4,0
4,5
5,0
WM-WEKON_1-_STA_U02
The 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
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.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_STA_K01
The student mastered the principles of individual and group work
2,0
3,0The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Anderson D.R., Sweeney D.J., Williams T.A., Statistics For Business And Economics, Cengage Learning, South-Western, 2019, 4
  2. Aczel A.D., Sounderpandian J., Complete Business Statistics, McGraw-Hill, 2008, 7
  3. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1

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 material1
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure12
T-L-3Practical test 11
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function9
T-L-5Determination and interpretation of increments and individual indicators2
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations4
T-L-7Practical test 21
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Tabular and graphical presentation of data1
T-W-2Numerical measures of location, variability and distribution shape3
T-W-3Measures of association between two variables and regression analysis3
T-W-4Statistical time series analysis2
T-W-5Theory test1
10

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes30
A-L-2Preparation for the classes25
A-L-3Preparation for practical tests20
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes10
A-W-2Own work5
A-W-3Preparation for theory test10
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_STA_W01The student will gain basic knowledge about presentation and analysis of statistical data, application of computer software to solving statistical problems, use of statistical method for the analysis of economic and managerial issues
Cel przedmiotuC-1The student should gain basic knowledge about gathering and presentation of statistical data and various methods used in analysis of structure, dynamic and association
C-2The student should be able to make statistical analysis in various statistical programs (eg. Statistica)
Treści programoweT-W-4Statistical time series analysis
T-W-1Tabular and graphical presentation of data
T-W-3Measures of association between two variables and regression analysis
T-W-2Numerical measures of location, variability and distribution shape
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations
T-L-5Determination and interpretation of increments and individual indicators
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function
Metody nauczaniaM-1Lecture with multimedial presentation
Sposób ocenyS-2Ocena podsumowująca: Written tests
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student has basic knowlage about measures used in analysis of the structure, interdependence and dynamics of socio-economic phenomena.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_STA_U01The student can organize a statistical survey, collect, present and analyze statistical material
Cel przedmiotuC-1The student should gain basic knowledge about gathering and presentation of statistical data and various methods used in analysis of structure, dynamic and association
C-2The student should be able to make statistical analysis in various statistical programs (eg. Statistica)
Treści programoweT-W-4Statistical time series analysis
T-W-1Tabular and graphical presentation of data
T-W-3Measures of association between two variables and regression analysis
T-W-2Numerical measures of location, variability and distribution shape
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations
T-L-5Determination and interpretation of increments and individual indicators
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function
Metody nauczaniaM-1Lecture with multimedial presentation
M-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation
S-2Ocena podsumowująca: Written tests
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_STA_U02The 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
Cel przedmiotuC-1The student should gain basic knowledge about gathering and presentation of statistical data and various methods used in analysis of structure, dynamic and association
C-2The student should be able to make statistical analysis in various statistical programs (eg. Statistica)
Treści programoweT-W-4Statistical time series analysis
T-W-1Tabular and graphical presentation of data
T-W-3Measures of association between two variables and regression analysis
T-W-2Numerical measures of location, variability and distribution shape
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations
T-L-5Determination and interpretation of increments and individual indicators
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function
Metody nauczaniaM-1Lecture with multimedial presentation
M-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation
S-2Ocena podsumowująca: Written tests
Kryteria ocenyOcenaKryterium oceny
2,0
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.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_STA_K01The student mastered the principles of individual and group work
Cel przedmiotuC-1The student should gain basic knowledge about gathering and presentation of statistical data and various methods used in analysis of structure, dynamic and association
C-2The student should be able to make statistical analysis in various statistical programs (eg. Statistica)
Treści programoweT-W-5Theory test
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material
T-L-7Practical test 2
T-L-6Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations
T-L-3Practical test 1
T-L-5Determination and interpretation of increments and individual indicators
T-L-2Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure
T-L-4Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics and parameters of the linear regression function
Metody nauczaniaM-1Lecture with multimedial presentation
M-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation
S-2Ocena podsumowująca: Written tests
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work.
3,5
4,0
4,5
5,0