Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Econometrics:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów —
Profil
Moduł —
Przedmiot Econometrics
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny Maciej Oesterreich <Maciej.Oesterreich@zut.edu.pl>
Inni nauczyciele Maciej Oesterreich <Maciej.Oesterreich@zut.edu.pl>, Joanna Perzyńska <joanna.perzynska@zut.edu.pl>
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, statistics. Basic knowledge of economics.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To gain basic theoretical and practical knowledge about construction and verification linear and nonlinear cross-sectional econometric models
C-2To gain basic theoretical and practical knowledge about modeling of time series

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1A statistical selection of the independent variables to the cross-sectional econometric model2
T-L-2Estimating the coefficients of the econometric model using the least squares method2
T-L-3Construction of the econometric models using GRETL2
T-L-4Validation of the cross-sectional econometric models4
T-L-5The cross-sectional nonlinear econometric models2
T-L-6Repetition of the material for the practical test 12
T-L-7Practical test 12
T-L-8Methods of determining form (equation) of the trend function3
T-L-9The trend nonlinear models3
T-L-10Linear and nonlinear time series models with seasonality4
T-L-11Repetition of the material for the practical test 22
T-L-12Practical test 22
30
wykłady
T-W-1The econometric model and stages of its construction2
T-W-2The least square method2
T-W-3The validation of econometrics model2
T-W-4Time series and time series modeling2
T-W-5Theory test2
10

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes30
A-L-2Own work25
A-L-3Preparation for practical tests20
75
wykłady
A-W-1Participation in classes10
A-W-2Own work10
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 theory of econometrics, construction, validation and application of cross-sectional and time series models models.		——C-1, C-2T-W-2, T-W-1, 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-_ECS_U01
Student will obtain skills in: construction and verification of econometric models, forecasting on the basis of econometric models, application of computer software to solving econometric problems.		——C-1, C-2T-L-1, T-L-2, T-L-11, T-L-9, T-L-6, T-L-10, T-L-4, T-L-5, T-L-3, T-L-8M-2S-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-_ECS_K01
The student mastered the principles of individual and team work.		——C-2, C-1T-L-10, T-L-6, T-L-4, T-L-8, T-L-5, T-L-9, T-L-3, T-L-11, T-L-1, T-L-2, T-W-2, T-W-1, T-W-3, T-W-4M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_??_W01
Student will gain basic knowledge about theory of econometrics, construction, validation and application of cross-sectional and time series models models.		2,0
3,0The student has basic knowledge about theory of econometrics.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_ECS_U01
Student will obtain skills in: construction and verification of econometric models, forecasting on the basis of econometric models, application of computer software to solving econometric problems.		2,0
3,0The student is able to use, presented during classes, statistical packages in the econometric modeling only with the help of the teacher.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_ECS_K01
The student mastered the principles of individual and team work.		2,0
3,0The student is able to independently conduct an econometric study, and with the teacher's help organize a group presentation.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Maddala G.S., Introduction to Econometrics, Wiley, 2011, 2011, 4
  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. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1
  2. Bradley T., Quantitative Methods for Business and Economics, Wiley, 2017, 1
  3. Willoughby D.A., An Essential Guide to Business Statistics, Wiley, 2016

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1A statistical selection of the independent variables to the cross-sectional econometric model2
T-L-2Estimating the coefficients of the econometric model using the least squares method2
T-L-3Construction of the econometric models using GRETL2
T-L-4Validation of the cross-sectional econometric models4
T-L-5The cross-sectional nonlinear econometric models2
T-L-6Repetition of the material for the practical test 12
T-L-7Practical test 12
T-L-8Methods of determining form (equation) of the trend function3
T-L-9The trend nonlinear models3
T-L-10Linear and nonlinear time series models with seasonality4
T-L-11Repetition of the material for the practical test 22
T-L-12Practical test 22
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1The econometric model and stages of its construction2
T-W-2The least square method2
T-W-3The validation of econometrics model2
T-W-4Time series and time series modeling2
T-W-5Theory test2
10

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes30
A-L-2Own work25
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 work10
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 theory of econometrics, construction, validation and application of cross-sectional and time series models models.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about construction and verification linear and nonlinear cross-sectional econometric models
C-2To gain basic theoretical and practical knowledge about modeling of time series
Treści programoweT-W-2The least square method
T-W-1The econometric model and stages of its construction
T-W-3The validation of econometrics model
T-W-4Time series and time series modeling
Metody nauczaniaM-1Lecture with multimedial presentation
Sposób ocenyS-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student has basic knowledge about theory of econometrics.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_ECS_U01Student will obtain skills in: construction and verification of econometric models, forecasting on the basis of econometric models, application of computer software to solving econometric problems.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about construction and verification linear and nonlinear cross-sectional econometric models
C-2To gain basic theoretical and practical knowledge about modeling of time series
Treści programoweT-L-1A statistical selection of the independent variables to the cross-sectional econometric model
T-L-2Estimating the coefficients of the econometric model using the least squares method
T-L-11Repetition of the material for the practical test 2
T-L-9The trend nonlinear models
T-L-6Repetition of the material for the practical test 1
T-L-10Linear and nonlinear time series models with seasonality
T-L-4Validation of the cross-sectional econometric models
T-L-5The cross-sectional nonlinear econometric models
T-L-3Construction of the econometric models using GRETL
T-L-8Methods of determining form (equation) of the trend function
Metody nauczaniaM-2Exercises during laboratories
Sposób ocenyS-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to use, presented during classes, statistical packages in the econometric modeling only with the help of the teacher.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_ECS_K01The student mastered the principles of individual and team work.
Cel przedmiotuC-2To gain basic theoretical and practical knowledge about modeling of time series
C-1To gain basic theoretical and practical knowledge about construction and verification linear and nonlinear cross-sectional econometric models
Treści programoweT-L-10Linear and nonlinear time series models with seasonality
T-L-6Repetition of the material for the practical test 1
T-L-4Validation of the cross-sectional econometric models
T-L-8Methods of determining form (equation) of the trend function
T-L-5The cross-sectional nonlinear econometric models
T-L-9The trend nonlinear models
T-L-3Construction of the econometric models using GRETL
T-L-11Repetition of the material for the practical test 2
T-L-1A statistical selection of the independent variables to the cross-sectional econometric model
T-L-2Estimating the coefficients of the econometric model using the least squares method
T-W-2The least square method
T-W-1The econometric model and stages of its construction
T-W-3The validation of econometrics model
T-W-4Time series and time series modeling
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 independently conduct an econometric study, and with the teacher's help organize a group presentation.
3,5
4,0
4,5
5,0