Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Business Statistics:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów —
Profil
Moduł —
Przedmiot Business Statistics
Specjalność przedmiot wspólny
Jednostka prowadząca Wymiana Międzynarodowa - WEKON
Nauczyciel odpowiedzialny Katarzyna Cheba <Katarzyna.Cheba@zut.edu.pl>
Inni nauczyciele Kleanthis Sirakoulis <sirakoul@teilar.gr>
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-1At least two courses in Economics and/or business discipline.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To gain knowledge on the use of stastic tools in the analysis of economic phenomena.
C-2Acquiring skills in the use of computer software in the statistical analysis of economic phenomena.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Analysis of structure of phenomena: measures of central tendency, measures of variability, measures of asymmetry, measures of concentration.12
T-L-2Practical test 1.2
T-L-3Correlation analysis: Pearson's linear correlation coefficient, Spearman's rank correlation coefficient, Tschuprow's coefficient, Q-Yule contingency coefficient.6
T-L-4Regression analysis: construction of a model with one explanatory variable.2
T-L-5Analysis of the dynamics of short-term time series: increases, indexes, average absolute increase, average rate of changes.4
T-L-6Time series dynamics analysis: statistical methods of determining trend equations.2
T-L-7Practical test 2.2
30
wykłady
T-W-1Introduction. Basic definitions.2
T-W-2Analysis of the structure of mass phenomena.2
T-W-3Correlation and regression analysis.2
T-W-4Analysis of the dynamics of short time series.2
T-W-5Theory test2
10

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes30
A-L-2Own study25
A-L-3Preperation for practical tests20
75
wykłady
A-W-1Participation in classes10
A-W-2Own study10
A-W-3Preparation for theory test5
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-_??_W01
Student will gain basic knowledge about use various statistical methods in analysis of economic phenomena and application of this knowledge in practice.		——C-1, C-2T-W-1, T-W-2, T-W-3, T-W-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-_BSS_U01
The student is able to apply appropriate methods and IT toolsin analysis of econonomics phenomena and make interpretation of the results of the conducted research, and also refer to it into business practice.		——C-1, C-2T-L-1, T-L-4, T-L-5, T-L-6, T-L-3M-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-_BSS_K01
The student has mastered the principles of individual and team work.		——C-1, C-2T-W-1, T-W-2, T-W-3, T-W-4, T-L-1, T-L-4, T-L-5, T-L-6, T-L-3M-1, M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_??_W01
Student will gain basic knowledge about use various statistical methods in analysis of economic phenomena and application of this knowledge in practice.		2,0
3,0The student correctly applies the basic elements of the statistical analysis of the structure, interdependence and dynamics of mass phenomena and with help of teacher make interpretation of the resoults.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_BSS_U01
The student is able to apply appropriate methods and IT toolsin analysis of econonomics phenomena and make interpretation of the results of the conducted research, and also refer to it into business practice.		2,0
3,0The student is able to use appropriate statistical methods and IT tools for the analysis of economic phenomena
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_BSS_K01
The student has mastered the principles of individual and team work.		2,0
3,0The student is able to carry out an individual examination on his own, and with the help of the teacher, organize work in a group
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Bradley T., Quantitative Methods for Business and Economics, Wiley, 2017, 1, ISBN: 978-0470056943
  2. Anderson D.R., Sweeney D.J., Williams T.A, Statistics For Business And Economics, Cengage Learning, South-Western, 2019, 4
  3. Aczel A.D., Sounderpandian J., Complete Business Statistics, McGraw-Hill, 2008, 7

Literatura dodatkowa

  1. Willoughby D.A., An Essential Guide to Business Statistics, Wiley, 2016, ISBN: 978-1-119-11854-1
  2. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Analysis of structure of phenomena: measures of central tendency, measures of variability, measures of asymmetry, measures of concentration.12
T-L-2Practical test 1.2
T-L-3Correlation analysis: Pearson's linear correlation coefficient, Spearman's rank correlation coefficient, Tschuprow's coefficient, Q-Yule contingency coefficient.6
T-L-4Regression analysis: construction of a model with one explanatory variable.2
T-L-5Analysis of the dynamics of short-term time series: increases, indexes, average absolute increase, average rate of changes.4
T-L-6Time series dynamics analysis: statistical methods of determining trend equations.2
T-L-7Practical test 2.2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction. Basic definitions.2
T-W-2Analysis of the structure of mass phenomena.2
T-W-3Correlation and regression analysis.2
T-W-4Analysis of the dynamics of short time series.2
T-W-5Theory test2
10

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes30
A-L-2Own study25
A-L-3Preperation 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 study10
A-W-3Preparation for theory test5
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_??_W01Student will gain basic knowledge about use various statistical methods in analysis of economic phenomena and application of this knowledge in practice.
Cel przedmiotuC-1To gain knowledge on the use of stastic tools in the analysis of economic phenomena.
C-2Acquiring skills in the use of computer software in the statistical analysis of economic phenomena.
Treści programoweT-W-1Introduction. Basic definitions.
T-W-2Analysis of the structure of mass phenomena.
T-W-3Correlation and regression analysis.
T-W-4Analysis of the dynamics of short time series.
Metody nauczaniaM-1Lecture with multimedial presentation.
Sposób ocenyS-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student correctly applies the basic elements of the statistical analysis of the structure, interdependence and dynamics of mass phenomena and with help of teacher make interpretation of the resoults.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_BSS_U01The student is able to apply appropriate methods and IT toolsin analysis of econonomics phenomena and make interpretation of the results of the conducted research, and also refer to it into business practice.
Cel przedmiotuC-1To gain knowledge on the use of stastic tools in the analysis of economic phenomena.
C-2Acquiring skills in the use of computer software in the statistical analysis of economic phenomena.
Treści programoweT-L-1Analysis of structure of phenomena: measures of central tendency, measures of variability, measures of asymmetry, measures of concentration.
T-L-4Regression analysis: construction of a model with one explanatory variable.
T-L-5Analysis of the dynamics of short-term time series: increases, indexes, average absolute increase, average rate of changes.
T-L-6Time series dynamics analysis: statistical methods of determining trend equations.
T-L-3Correlation analysis: Pearson's linear correlation coefficient, Spearman's rank correlation coefficient, Tschuprow's coefficient, Q-Yule contingency coefficient.
Metody nauczaniaM-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 use appropriate statistical methods and IT tools for the analysis of economic phenomena
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_BSS_K01The student has mastered the principles of individual and team work.
Cel przedmiotuC-1To gain knowledge on the use of stastic tools in the analysis of economic phenomena.
C-2Acquiring skills in the use of computer software in the statistical analysis of economic phenomena.
Treści programoweT-W-1Introduction. Basic definitions.
T-W-2Analysis of the structure of mass phenomena.
T-W-3Correlation and regression analysis.
T-W-4Analysis of the dynamics of short time series.
T-L-1Analysis of structure of phenomena: measures of central tendency, measures of variability, measures of asymmetry, measures of concentration.
T-L-4Regression analysis: construction of a model with one explanatory variable.
T-L-5Analysis of the dynamics of short-term time series: increases, indexes, average absolute increase, average rate of changes.
T-L-6Time series dynamics analysis: statistical methods of determining trend equations.
T-L-3Correlation analysis: Pearson's linear correlation coefficient, Spearman's rank correlation coefficient, Tschuprow's coefficient, Q-Yule contingency coefficient.
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 carry out an individual examination on his own, and with the help of the teacher, organize work in a group
3,5
4,0
4,5
5,0