Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Ekonomiczny - Economics (S1)
specjalność: Property Valuation and Real Estate Transactions

Sylabus przedmiotu Econometry:

Informacje podstawowe

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

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW3 15 2,00,50egzamin
laboratoriaL3 30 3,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Basic knowledge of mathematics, descriptive statistics as well as general economic knowledge.
W-2Skill to use the Excel spreadsheet.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To develop skills in the construction and assessment of linear and non-linear econometric models.
C-2Gaining practical skills in the application of econometric methods in practice with the use of statistical packages Statgraphics, Statistica and Excel spreadsheet.
C-3Acquiring the knowledge about construction and solving mathematical decision models. Making interpretations of results of mathematical programming.
C-4Obtaining basic knowledge of the applications of econometric methods in the study of regularities in phenomena occurring in the economy.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1The construction of econometric models.2
T-L-2The Hellwig method.2
T-L-3Estimation of model parameters with two independent variables. The application of statistical packages: Statgraphics and Statistica.4
T-L-4Validation of econometric models.4
T-L-5The estimation of models of dynamics and fluctuations.4
T-L-6The construction of decision models.3
T-L-7Solving of linear programming tasks using the graphical method.3
T-L-8Solving of linear programming tasks with the simplex method. The construction of dual programs.6
T-L-9Test.2
30
wykłady
T-W-1Areas of applications of mathematics in economics. Relations of econometrics with other sciences disciplines.1
T-W-2The subject and research the tool of econometrics. Stages of the econometric modeling process. The classification of econometric models.1
T-W-3Linear regression with one independent variable. Estimation of the least squares equation coefficients2
T-W-4Statistical measures used in the validation stage. Forecasting.2
T-W-5Econometric models of dynamics and variability. Approaches to determine the analytical form of the trend.2
T-W-6Time series models with seasonal fluctuations.2
T-W-7The construction and classification of decision models.2
T-W-8Solving of linear programming tasks using graphical method and simplex algorithm.2
T-W-9The duality in linear programming.1
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1The preparation to classes.30
A-L-2The participation in classes.16
A-L-3The literature study of the subject.16
A-L-4The preparation to the test.16
A-L-5Homeworks.6
A-L-6The preparations of formulas.6
90
wykłady
A-W-1The participation in classes.15
A-W-2The literature study of the subject.23
A-W-3The participation to test.20
A-W-4The preparation to classes.2
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Information and problem lecture.
M-2Exercises with the use of a computer along with didactic discussion related to the lecture.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications.
S-2Ocena podsumowująca: The final test consisting an independent solving of tasks from econometrics.
S-3Ocena formująca: The presentation of tasks solved by the team.

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
E_1A_B4_W01
The student knows the role and place of econometrics in economic analysis and research and knows the stages of the econometric modeling process.
E_1A_W01, E_1A_W06, E_1A_W07C-4T-W-1, T-W-2, T-L-1M-1S-1
E_1A_B4_W02
The student knows popular statistical software packages and knows how to use econometric knowledge to solve tasks on socio-economic issues
E_1A_W01, E_1A_W06, E_1A_W07C-2, C-1T-W-3, T-L-4, T-L-5, T-L-3M-2S-2
E_1A_B4_W03
The student has knowledge about constructing and solving mathematical decision models. "
E_1A_W01, E_1A_W03, E_1A_W06, E_1A_W07C-3T-L-6, T-L-7, T-L-8M-1S-1, S-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
E_1A_B4_U01
Student is able to apply appropriate econometric methods and tools and make interpretation of the results of conducted research, as well as refer them to business practice.
E_1A_U01, E_1A_U02, E_1A_U03, E_1A_U11, E_1A_U12C-2, C-1T-W-3, T-W-6, T-L-1, T-L-2, T-L-4, T-L-5, T-L-3M-2, M-1S-1, S-2
E_1A_B4_U02
Student is able to build, solve and make interpretion of mathematical decision models.
E_1A_U01, E_1A_U02, E_1A_U03, E_1A_U07, E_1A_U08, E_1A_U09, E_1A_U12, E_1A_U21C-3T-W-9, T-W-8, T-W-7, T-L-7M-2, M-1S-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
E_1A_B4_K01
The student mastered the principles of individual and team work.
E_1A_K01, E_1A_K02, E_1A_K05C-2, C-1T-W-9, T-L-7, T-L-4, T-L-5, T-L-8, T-L-3M-2S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
E_1A_B4_W01
The student knows the role and place of econometrics in economic analysis and research and knows the stages of the econometric modeling process.
2,0The student does not know the role and place of econometrics in economic analysis and research, he does not know the stages of econometric modeling.
3,0Student poorly knows the role and place of econometrics in economic analysis and research, knows only some stages of econometric modeling.
3,5Student poorly knows the role and place of econometrics in economic analysis and research, knows most of the stages of econometric modeling.
4,0The student knows the role and place of econometrics in economic analysis and research, knows only some stages of econometric modeling.
4,5The student knows the role and place of econometrics in economic analysis and research, knows the stages of econometric modeling.
5,0The student knows the role and place of econometrics in economic analysis and research, knows the stages of econometric modeling and can analyze them.
E_1A_B4_W02
The student knows popular statistical software packages and knows how to use econometric knowledge to solve tasks on socio-economic issues
2,0The student does not know the statistical packages and does not know how to use his knowledge to solve tasks on socio-economic issues.
3,0The student correctly knows several modules of statistical packages and knows (with the help of the teacher) how to use econometric knowledge to solve tasks on socio-economic issues.
3,5The student knows all the modules of the known statistical packages and knows (with the help of the teacher) how to use econometric knowledge to solve (indicated by the teacher) tasks on socio-economic issues.
4,0The student knows all the modules of the known statistical packages and knows how to use econometric knowledge to solve (indicated by the teacher) tasks on socio-economic issues.
4,5The student knows all modules of the known statistical packages and knows how to use your econometric knowledge to solve independently proposed tasks on socio-economic issues
5,0The student can independently propose the use of appropriate econometric tools, is able to assess their suitability to the study of socio-economic phenomena, knows how to use all modules of the known statistical packages
E_1A_B4_W03
The student has knowledge about constructing and solving mathematical decision models. "
2,0Student nie ma wiedzy na temat budowy i rozwiązywania modeli decyzji matematycznych.
3,0The student has knowledge about the construction of some decision models but does not know how to solve them.
3,5The student has knowledge about the construction of decision models and knows the graphic method.
4,0The student has knowledge about the construction of decision models and knows methods and how to solve them (graphic method and simplex algorithm).
4,5The student has knowledge about the construction of decision models, knows methods and their solutions (graphic method and simplex algorithm) and interpretation.
5,0The student has knowledge about the construction of decision models, knows methods and their solutions and interpretations. Student has knowledge about the construction of dual models.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
E_1A_B4_U01
Student is able to apply appropriate econometric methods and tools and make interpretation of the results of conducted research, as well as refer them to business practice.
2,0The student is not able to use statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling.
3,0The student is able to use, presented during classes, statistical packages in the econometric modeling only with the help of the teacher.
3,5The student is able to use some statistical packages in econometric modeling.
4,0Student uses statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling.
4,5Student uses statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling. He can make interpretation of the obtained results.
5,0Student uses independently statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling. Is able to make interpretation of the obtained results and make their presentation.
E_1A_B4_U02
Student is able to build, solve and make interpretion of mathematical decision models.
2,0The student is not able to construct decision models.
3,0Student is able to construct decision models.
3,5Student is able to construct decision models and solves them using the graphical method.
4,0Student is able to construct decision models and solves them using the simplex method and the graphical algorithm.
4,5Student is able to construct decision models and solves them using the simplex method and the graphical algorithm. He is able to independently make interpretation of their results.
5,0Student is able to construct decision models and solves them using the simplex method and the graphical algorithm. Student is able to independently make interpretation the primitive and dual solutions.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
E_1A_B4_K01
The student mastered the principles of individual and team work.
2,0The student has not mastered the principles of individual and team work.
3,0The student is able to independently conduct an econometric study, and with the teacher's help organize a group presentation.
3,5The student is able to conduct an individual econometric study and organize a group presentation.
4,0The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, with the teacher's help is able to identify the methods and tools needed to solve the defined problem and make a preliminary analysis of the results.
4,5The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, is able to identify methods and tools needed to solve a defined problem, and make a comprehensive analysis of the results.
5,0The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, is able to identify methods and tools needed to solve a defined problem, is able to make a comprehensive analysis of the results obtained and use all modules of known statistical packages.

Literatura podstawowa

  1. Anderson D.R., Sweeney D.J., Williams T.A., Statistics for Business and Economics, South-Western Cengage Learning, Manson, 2011, 11
  2. Aczel A., Souderpandian J., Complete Business Statistics, McGraw-Hill/Irwin, 2008, 7
  3. Hiller F.S., Lieberman G.J., Introduction to operational research, McGraw-Hill Higher Education, 2001, 7

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1The construction of econometric models.2
T-L-2The Hellwig method.2
T-L-3Estimation of model parameters with two independent variables. The application of statistical packages: Statgraphics and Statistica.4
T-L-4Validation of econometric models.4
T-L-5The estimation of models of dynamics and fluctuations.4
T-L-6The construction of decision models.3
T-L-7Solving of linear programming tasks using the graphical method.3
T-L-8Solving of linear programming tasks with the simplex method. The construction of dual programs.6
T-L-9Test.2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Areas of applications of mathematics in economics. Relations of econometrics with other sciences disciplines.1
T-W-2The subject and research the tool of econometrics. Stages of the econometric modeling process. The classification of econometric models.1
T-W-3Linear regression with one independent variable. Estimation of the least squares equation coefficients2
T-W-4Statistical measures used in the validation stage. Forecasting.2
T-W-5Econometric models of dynamics and variability. Approaches to determine the analytical form of the trend.2
T-W-6Time series models with seasonal fluctuations.2
T-W-7The construction and classification of decision models.2
T-W-8Solving of linear programming tasks using graphical method and simplex algorithm.2
T-W-9The duality in linear programming.1
15

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1The preparation to classes.30
A-L-2The participation in classes.16
A-L-3The literature study of the subject.16
A-L-4The preparation to the test.16
A-L-5Homeworks.6
A-L-6The preparations of formulas.6
90
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1The participation in classes.15
A-W-2The literature study of the subject.23
A-W-3The participation to test.20
A-W-4The preparation to classes.2
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_W01The student knows the role and place of econometrics in economic analysis and research and knows the stages of the econometric modeling process.
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_W01Ma podstawową wiedzę z zakresu ekonomii, jej miejscu w systemie nauk społecznych oraz powiązaniach z innymi dyscyplinami naukowymi
E_1A_W06Zna metody i narzędzia pozyskiwania, przetwarzania i prezentacji danych (w tym informatyczne) dotyczące zjawisk i procesów społeczno-gospodarczych
E_1A_W07Ma podstawową wiedzę z zakresu metod ilościowych (w tym matematyki, statystyki, ekonometrii i teorii podejmowania decyzji) i zna przykłady ich zastosowań w praktyce gospodarczej
Cel przedmiotuC-4Obtaining basic knowledge of the applications of econometric methods in the study of regularities in phenomena occurring in the economy.
Treści programoweT-W-1Areas of applications of mathematics in economics. Relations of econometrics with other sciences disciplines.
T-W-2The subject and research the tool of econometrics. Stages of the econometric modeling process. The classification of econometric models.
T-L-1The construction of econometric models.
Metody nauczaniaM-1Information and problem lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know the role and place of econometrics in economic analysis and research, he does not know the stages of econometric modeling.
3,0Student poorly knows the role and place of econometrics in economic analysis and research, knows only some stages of econometric modeling.
3,5Student poorly knows the role and place of econometrics in economic analysis and research, knows most of the stages of econometric modeling.
4,0The student knows the role and place of econometrics in economic analysis and research, knows only some stages of econometric modeling.
4,5The student knows the role and place of econometrics in economic analysis and research, knows the stages of econometric modeling.
5,0The student knows the role and place of econometrics in economic analysis and research, knows the stages of econometric modeling and can analyze them.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_W02The student knows popular statistical software packages and knows how to use econometric knowledge to solve tasks on socio-economic issues
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_W01Ma podstawową wiedzę z zakresu ekonomii, jej miejscu w systemie nauk społecznych oraz powiązaniach z innymi dyscyplinami naukowymi
E_1A_W06Zna metody i narzędzia pozyskiwania, przetwarzania i prezentacji danych (w tym informatyczne) dotyczące zjawisk i procesów społeczno-gospodarczych
E_1A_W07Ma podstawową wiedzę z zakresu metod ilościowych (w tym matematyki, statystyki, ekonometrii i teorii podejmowania decyzji) i zna przykłady ich zastosowań w praktyce gospodarczej
Cel przedmiotuC-2Gaining practical skills in the application of econometric methods in practice with the use of statistical packages Statgraphics, Statistica and Excel spreadsheet.
C-1To develop skills in the construction and assessment of linear and non-linear econometric models.
Treści programoweT-W-3Linear regression with one independent variable. Estimation of the least squares equation coefficients
T-L-4Validation of econometric models.
T-L-5The estimation of models of dynamics and fluctuations.
T-L-3Estimation of model parameters with two independent variables. The application of statistical packages: Statgraphics and Statistica.
Metody nauczaniaM-2Exercises with the use of a computer along with didactic discussion related to the lecture.
Sposób ocenyS-2Ocena podsumowująca: The final test consisting an independent solving of tasks from econometrics.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know the statistical packages and does not know how to use his knowledge to solve tasks on socio-economic issues.
3,0The student correctly knows several modules of statistical packages and knows (with the help of the teacher) how to use econometric knowledge to solve tasks on socio-economic issues.
3,5The student knows all the modules of the known statistical packages and knows (with the help of the teacher) how to use econometric knowledge to solve (indicated by the teacher) tasks on socio-economic issues.
4,0The student knows all the modules of the known statistical packages and knows how to use econometric knowledge to solve (indicated by the teacher) tasks on socio-economic issues.
4,5The student knows all modules of the known statistical packages and knows how to use your econometric knowledge to solve independently proposed tasks on socio-economic issues
5,0The student can independently propose the use of appropriate econometric tools, is able to assess their suitability to the study of socio-economic phenomena, knows how to use all modules of the known statistical packages
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_W03The student has knowledge about constructing and solving mathematical decision models. "
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_W01Ma podstawową wiedzę z zakresu ekonomii, jej miejscu w systemie nauk społecznych oraz powiązaniach z innymi dyscyplinami naukowymi
E_1A_W03Ma podstawową wiedzę na temat relacji między strukturami i instytucjami społecznymi w skali krajowej i międzynarodowej
E_1A_W06Zna metody i narzędzia pozyskiwania, przetwarzania i prezentacji danych (w tym informatyczne) dotyczące zjawisk i procesów społeczno-gospodarczych
E_1A_W07Ma podstawową wiedzę z zakresu metod ilościowych (w tym matematyki, statystyki, ekonometrii i teorii podejmowania decyzji) i zna przykłady ich zastosowań w praktyce gospodarczej
Cel przedmiotuC-3Acquiring the knowledge about construction and solving mathematical decision models. Making interpretations of results of mathematical programming.
Treści programoweT-L-6The construction of decision models.
T-L-7Solving of linear programming tasks using the graphical method.
T-L-8Solving of linear programming tasks with the simplex method. The construction of dual programs.
Metody nauczaniaM-1Information and problem lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications.
S-2Ocena podsumowująca: The final test consisting an independent solving of tasks from econometrics.
Kryteria ocenyOcenaKryterium oceny
2,0Student nie ma wiedzy na temat budowy i rozwiązywania modeli decyzji matematycznych.
3,0The student has knowledge about the construction of some decision models but does not know how to solve them.
3,5The student has knowledge about the construction of decision models and knows the graphic method.
4,0The student has knowledge about the construction of decision models and knows methods and how to solve them (graphic method and simplex algorithm).
4,5The student has knowledge about the construction of decision models, knows methods and their solutions (graphic method and simplex algorithm) and interpretation.
5,0The student has knowledge about the construction of decision models, knows methods and their solutions and interpretations. Student has knowledge about the construction of dual models.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_U01Student is able to apply appropriate econometric methods and tools and make interpretation of the results of conducted research, as well as refer them to business practice.
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_U01Potrafi wykorzystać zdobytą wiedzę naukową do interpretacji zjawisk społeczno-gospodarczych
E_1A_U02Potrafi zastosować podstawową wiedzę teoretyczną i pozyskiwać dane do analizowania konkretnych procesów i zjawisk społeczno-gospodarczych
E_1A_U03Umie organizować pracę własną i zespołu
E_1A_U11Analizuje wskazane rozwiązania konkretnych problemów i proponuje w tym zakresie odpowiednie rozstrzygnięcia
E_1A_U12Posiada umiejętność rozumienia i analizowania zjawisk społecznych
Cel przedmiotuC-2Gaining practical skills in the application of econometric methods in practice with the use of statistical packages Statgraphics, Statistica and Excel spreadsheet.
C-1To develop skills in the construction and assessment of linear and non-linear econometric models.
Treści programoweT-W-3Linear regression with one independent variable. Estimation of the least squares equation coefficients
T-W-6Time series models with seasonal fluctuations.
T-L-1The construction of econometric models.
T-L-2The Hellwig method.
T-L-4Validation of econometric models.
T-L-5The estimation of models of dynamics and fluctuations.
T-L-3Estimation of model parameters with two independent variables. The application of statistical packages: Statgraphics and Statistica.
Metody nauczaniaM-2Exercises with the use of a computer along with didactic discussion related to the lecture.
M-1Information and problem lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications.
S-2Ocena podsumowująca: The final test consisting an independent solving of tasks from econometrics.
Kryteria ocenyOcenaKryterium oceny
2,0The student is not able to use statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling.
3,0The student is able to use, presented during classes, statistical packages in the econometric modeling only with the help of the teacher.
3,5The student is able to use some statistical packages in econometric modeling.
4,0Student uses statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling.
4,5Student uses statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling. He can make interpretation of the obtained results.
5,0Student uses independently statistical packages: Statgraphics, Statistica and Excel spreadsheet in econometric modeling. Is able to make interpretation of the obtained results and make their presentation.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_U02Student is able to build, solve and make interpretion of mathematical decision models.
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_U01Potrafi wykorzystać zdobytą wiedzę naukową do interpretacji zjawisk społeczno-gospodarczych
E_1A_U02Potrafi zastosować podstawową wiedzę teoretyczną i pozyskiwać dane do analizowania konkretnych procesów i zjawisk społeczno-gospodarczych
E_1A_U03Umie organizować pracę własną i zespołu
E_1A_U07Rozwiązuje problemy makro-i mikroekonomiczne z wykorzystaniem różnorodnych narzędzi analitycznych, w tym nowoczesnych technologii informatycznych
E_1A_U08Potrafi właściwie analizować przyczyny oraz przebieg procesów i zjawisk społecznych w zakresie ekonomii
E_1A_U09Potrafi prognozować procesy i zjawiska społeczne z wykorzystaniem standardowych metod badawczych
E_1A_U12Posiada umiejętność rozumienia i analizowania zjawisk społecznych
E_1A_U21Posiada umiejętność uczenia się przez całe życie
Cel przedmiotuC-3Acquiring the knowledge about construction and solving mathematical decision models. Making interpretations of results of mathematical programming.
Treści programoweT-W-9The duality in linear programming.
T-W-8Solving of linear programming tasks using graphical method and simplex algorithm.
T-W-7The construction and classification of decision models.
T-L-7Solving of linear programming tasks using the graphical method.
Metody nauczaniaM-2Exercises with the use of a computer along with didactic discussion related to the lecture.
M-1Information and problem lecture.
Sposób ocenyS-1Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications.
S-2Ocena podsumowująca: The final test consisting an independent solving of tasks from econometrics.
Kryteria ocenyOcenaKryterium oceny
2,0The student is not able to construct decision models.
3,0Student is able to construct decision models.
3,5Student is able to construct decision models and solves them using the graphical method.
4,0Student is able to construct decision models and solves them using the simplex method and the graphical algorithm.
4,5Student is able to construct decision models and solves them using the simplex method and the graphical algorithm. He is able to independently make interpretation of their results.
5,0Student is able to construct decision models and solves them using the simplex method and the graphical algorithm. Student is able to independently make interpretation the primitive and dual solutions.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięE_1A_B4_K01The student mastered the principles of individual and team work.
Odniesienie do efektów kształcenia dla kierunku studiówE_1A_K01Samodzielnej pracy oraz pracy w zespole (słuchanie, negocjacje, perswazja, prezentacja)
E_1A_K02Określania priorytetów służących do realizacji zadań ustalonych przez siebie lub innych
E_1A_K05Myślenia i działania w sposób przedsiębiorczy
Cel przedmiotuC-2Gaining practical skills in the application of econometric methods in practice with the use of statistical packages Statgraphics, Statistica and Excel spreadsheet.
C-1To develop skills in the construction and assessment of linear and non-linear econometric models.
Treści programoweT-W-9The duality in linear programming.
T-L-7Solving of linear programming tasks using the graphical method.
T-L-4Validation of econometric models.
T-L-5The estimation of models of dynamics and fluctuations.
T-L-8Solving of linear programming tasks with the simplex method. The construction of dual programs.
T-L-3Estimation of model parameters with two independent variables. The application of statistical packages: Statgraphics and Statistica.
Metody nauczaniaM-2Exercises with the use of a computer along with didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: The presentation of tasks solved by the team.
Kryteria ocenyOcenaKryterium oceny
2,0The student has not mastered the principles of individual and team work.
3,0The student is able to independently conduct an econometric study, and with the teacher's help organize a group presentation.
3,5The student is able to conduct an individual econometric study and organize a group presentation.
4,0The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, with the teacher's help is able to identify the methods and tools needed to solve the defined problem and make a preliminary analysis of the results.
4,5The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, is able to identify methods and tools needed to solve a defined problem, and make a comprehensive analysis of the results.
5,0The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, is able to identify methods and tools needed to solve a defined problem, is able to make a comprehensive analysis of the results obtained and use all modules of known statistical packages.