Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Ekonomiczny - Economics 28.09.2023 transfer (S1)

Sylabus przedmiotu Econometry:

Informacje podstawowe

Kierunek studiów Economics 28.09.2023 transfer
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) 4,0 ECTS (formy) 4,0
Forma zaliczenia egzamin Język polski
Blok obieralny — Grupa obieralna —

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW3 20 1,60,50egzamin
laboratoriaL3 30 2,40,50zaliczenie

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-1Obtain basic knowledge about econometric modelling
C-2Obtain a basic knowledge about construction and solving methods of linear decision models
C-3Gain the ability to apply econometric methods in practice using computer software

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Construction of an econometric model. Classification of variables in a model, classification of econometric models. Construction of a model hypothesis based on the description of the relationship between the variables.2
T-L-2Selection of independent variables for the econometric model - the Hellwig's method.2
T-L-3Test concerning construction of an econometric model, variable classification, model classification, Hellwig's method.1
T-L-4Estimation and validation of a single-equation econometric model with two (or more) independent variables (linear, power form). Application of Excel and Statistica.5
T-L-5Estimation and validation of trend models (linear, exponential form) and time series models with constant and relatively constant seasonality. Application of Excel and Statistica.5
T-L-6Test concerning the estimation and validation of econometric models with two (or more) independent variables and time series models.2
T-L-7Construction of decision models.2
T-L-8Solving linear programming problems with the geometric method.3
T-L-9Solving linear programming problems using the SIMPLEX method - traditionally and with the application of Excel (Solver add-in).6
T-L-10Test concerning methods of solving linear programming problems.2
30
wykłady
T-W-1Areas of applications of mathematics in economics. Relations of econometrics with other sciences disciplines.1
T-W-2The econometric model and its structure. Classification of variables in the model, classification of models, stages of the econometric modeling process.3
T-W-3Determination of structural coefficients of a single-equation econometric model with multiple independent variables using the least squares method. Model quality assessment (measures of goodness of fit, examination of the significance of coefficients of the model, examination of the autocorrelation of the random component).4
T-W-4Econometric modeling of time series - trend models (linear, exponential), time series models with seasonal fluctuations.4
T-W-5The decision model and its structure. Decision model vs. the econometric model. Examples of linear programs – construction a decision model for example programs.3
T-W-6Methods of solving linear programming problems - the geometrical method and the SIMPLEX method.4
T-W-7Using an Excel spreadsheet (Solver add-in) to solve linear programming problems using the simplex method.1
20

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1The participation in classes30
A-L-2The preparation to classes.8
A-L-3The literature study of the subject.8
A-L-4The preparation to the tests.8
A-L-5Homeworks.6
60
wykłady
A-W-1The participation in classes.20
A-W-2The literature study of the subject.8
A-W-3Preparation for the exam.10
A-W-4Exam2
40

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1The information and problem lecture with the use of a multimedia presentation.
M-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
S-2Ocena formująca: Tests to evaluate periodic student achievements.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.

Zamierzone efekty kształcenia - wiedza

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B08_W01
The student knows and understands the role of econometrics in economic analysis and research and knows and understands the stages of econometric modelling		Ec_1A_W06, Ec_1A_W01—C-3T-W-4, T-W-1, T-L-1, T-L-2, T-L-3, T-L-6, T-W-2M-1, M-2S-1, S-4, S-2, S-3
Ec_1A_B08_W03
The student knows and understands how to construct and solve decision-making models and knows and understands the interpretation of the obtained results.		Ec_1A_W03, Ec_1A_W06—C-2T-W-6, T-W-5, T-W-7, T-L-8, T-L-9, T-L-10, T-L-7M-1, M-2S-1, S-2, S-4, S-3

Zamierzone efekty kształcenia - umiejętności

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B08_U01
Students will be able to construct an econometric model and determine its parameters using computer programs, and will be able to interpret the results of their research and relate them to economic practice.		Ec_1A_U02, Ec_1A_U04, Ec_1A_U01—C-1, C-3T-L-6, T-W-3, T-L-1, T-L-2, T-L-4, T-L-5M-1, M-2S-1, S-2, S-4, S-3
Ec_1A_B08_U02
Students will be able to build, solve with computer programs and make interpretation of linear decision-making models		Ec_1A_U04, Ec_1A_U02, Ec_1A_U01—C-3, C-2T-L-10, T-L-7, T-W-6, T-W-5, T-L-8, T-L-9M-1, M-2S-1, S-2, S-4, S-3

Zamierzone efekty kształcenia - inne kompetencje społeczne i personalne

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B08_K01
The student is ready to solve problematic issues related to the selecting of methods and tools used in econometrics		Ec_1A_K01—C-1, C-2, C-3T-W-4, T-W-5, T-W-2, T-W-6, T-L-1, T-L-10, T-W-7, T-L-3, T-L-6, T-W-3, T-L-2, T-L-4, T-L-5, T-L-8, T-L-9M-2, M-1S-2, S-3, S-4, S-1

Kryterium oceny - wiedza

Efekt kształceniaOcenaKryterium oceny
Ec_1A_B08_W01
The student knows and understands the role of econometrics in economic analysis and research and knows and understands the stages of econometric modelling		2,0The student does not know and does not understand the role of econometrics in economic analyzes and research and does not know and does not understand the stages of econometric modeling
3,0The student knows and understands the role of econometrics in economic analyzes and research poorly and knows only some stages of econometric modeling, but has problems understanding them
3,5The student knows and understands the role of econometrics in economic analysis and research quite well and knows most of the stages of econometric modeling, but has problems understanding them
4,0The student knows and understands the role of econometrics in economic analysis and research and knows the stages of econometric modeling, but understands only some of them
4,5The student knows and understands the role of econometrics in economic analysis and research and knows and understands most stages of econometric modeling
5,0The student perfectly knows and understands the role of econometrics in economic analyzes and research and knows and understands all stages of econometric modeling
Ec_1A_B08_W03
The student knows and understands how to construct and solve decision-making models and knows and understands the interpretation of the obtained results.		2,0The student does not know and does not understand the methods of constructing and solving decision models and does not know and does not understand the interpretation of the obtained results
3,0The student knows and understands the methods of constructing some decision models and knows and understands one of the methods of solving them, and requires the teacher's help when interpreting the results
3,5The student knows and understands the methods of constructing decision models and knows and understands one of the methods of solving them, and requires the teacher's help when interpreting some results
4,0The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them and knows and understands the interpretation of some results
4,5The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them and knows and understands the interpretation of most of the results
5,0The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them, and knows and understands the interpretation of all obtained results

Kryterium oceny - umiejętności

Efekt kształceniaOcenaKryterium oceny
Ec_1A_B08_U01
Students will be able to construct an econometric model and determine its parameters using computer programs, and will be able to interpret the results of their research and relate them to economic practice.		2,0The student is unable to build an econometric model and determine its parameters using computer programs and is unable to interpret the results of the conducted research and is unable to relate them to economic practice
3,0The student is able to sufficiently build an econometric model and determine its parameters using computer programs and is able to interpret the results of the research and is able to relate them to economic practice
3,5The student is able to build an econometric model and determine its parameters using computer programs to a more than sufficient degree, and is able to interpret the results of the conducted research and is able to relate them to business practice
4,0The student is able to build an econometric model to a good degree and determine its parameters using computer programs and is able to interpret the results of the research and is able to relate them to business practice
4,5The student is able to build an econometric model and determine its parameters with the use of computer programs to a more than good degree and is able to interpret the results of the conducted research and is able to relate them to business practice
5,0The student is able to build an econometric model and determine its parameters using computer programs to a very good degree, and is able to interpret the results of the conducted research and is able to relate them to business practice
Ec_1A_B08_U02
Students will be able to build, solve with computer programs and make interpretation of linear decision-making models		2,0The student is unable to build, solve using computer programs and interpret linear decision models
3,0The student is sufficiently able to build, solve with the use of computer programs and interpret linear decision models
3,5The student is able to build, solve with the use of computer programs and interpret linear decision models in a more than sufficient degree
4,0The student is able to build, solve with the use of computer programs and interpret linear decision models in a good degree
4,5The student is more than good at building, solving with the use of computer programs and interpreting linear decision models
5,0The student is able to build, solve with the use of computer programs and interpret linear decision models in a very good degree

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt kształceniaOcenaKryterium oceny
Ec_1A_B08_K01
The student is ready to solve problematic issues related to the selecting of methods and tools used in econometrics		2,0The student is not ready to solve problematic issues related to the choice of methods and tools used in econometrics
3,0The student is sufficiently ready to solve problematic issues related to the choice of methods and tools used in econometrics
3,5The student is more than sufficiently ready to solve problematic issues related to the choice of methods and tools used in econometrics
4,0A good student is ready to solve problematic issues related to the choice of methods and tools used in econometrics
4,5The student is more than good at solving problematic issues related to the choice of methods and tools used in econometrics
5,0A student with a very good degree is ready to solve problematic issues related to the choice of methods and tools used in econometrics

Literatura podstawowa

  1. Maddala G.S., Introduction to Econometrics, Wiley, New York, 2011, 4
  2. Anderson D.R., Sweeney D.J., Williams T.A., Statistics for Business and Economics, South-Western Cengage Learning, Manson, 2019, 14
  3. Aczel A.D., Souderpandian J., Complete Business Statistics, McGraw-Hill/Irwin, 2008, 7
  4. Hiller F.S., Lieberman G.J., Introduction to operations research, McGraw-Hill, 2021, 11
  5. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1

Literatura dodatkowa

  1. Hozer J. (red.), Ekonometria, Uniwersytet Szczeciński, Szczecin, 1997
  2. Hozer J. (red.), Ekonometria stosowana w przykładach i zadaniach, Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Stowarzyszenie Pomoc i Rozwój, Szczecin, 2007
  3. Goryl A., Jędrzejczyk Z., Kukuła K., Wprowadzenie do ekonometrii, PWN, Warszawa, 2009
  4. Jędrzejczyk Z., Kukuła K., Skrzypek J., Badania operacyjne w przykładach i zadaniach, PWN, Warszawa, 2015
  5. Szapiro T. (red.), Decyzje menadżerskie z Excelem, PWE, Warszawa, 2000
  6. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Wzory i tablice. Metody statystyczne i ekonometryczne, CeDeWu, Warszawa, 2019, 2
  7. Hozer J. (red.), Mikroekonometria. Analizy. Diagnozy. Prognozy, PWE, Warszawa, 1993
  8. Jajuga K., Ekonometria. Metody i analizy problemów ekonomicznych, Wyd. Akademii Ekonomicznej im. O. Langego we Wrocławiu, Wrocław, 1999

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Construction of an econometric model. Classification of variables in a model, classification of econometric models. Construction of a model hypothesis based on the description of the relationship between the variables.2
T-L-2Selection of independent variables for the econometric model - the Hellwig's method.2
T-L-3Test concerning construction of an econometric model, variable classification, model classification, Hellwig's method.1
T-L-4Estimation and validation of a single-equation econometric model with two (or more) independent variables (linear, power form). Application of Excel and Statistica.5
T-L-5Estimation and validation of trend models (linear, exponential form) and time series models with constant and relatively constant seasonality. Application of Excel and Statistica.5
T-L-6Test concerning the estimation and validation of econometric models with two (or more) independent variables and time series models.2
T-L-7Construction of decision models.2
T-L-8Solving linear programming problems with the geometric method.3
T-L-9Solving linear programming problems using the SIMPLEX method - traditionally and with the application of Excel (Solver add-in).6
T-L-10Test concerning methods of solving linear programming problems.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 econometric model and its structure. Classification of variables in the model, classification of models, stages of the econometric modeling process.3
T-W-3Determination of structural coefficients of a single-equation econometric model with multiple independent variables using the least squares method. Model quality assessment (measures of goodness of fit, examination of the significance of coefficients of the model, examination of the autocorrelation of the random component).4
T-W-4Econometric modeling of time series - trend models (linear, exponential), time series models with seasonal fluctuations.4
T-W-5The decision model and its structure. Decision model vs. the econometric model. Examples of linear programs – construction a decision model for example programs.3
T-W-6Methods of solving linear programming problems - the geometrical method and the SIMPLEX method.4
T-W-7Using an Excel spreadsheet (Solver add-in) to solve linear programming problems using the simplex method.1
20

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1The participation in classes30
A-L-2The preparation to classes.8
A-L-3The literature study of the subject.8
A-L-4The preparation to the tests.8
A-L-5Homeworks.6
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1The participation in classes.20
A-W-2The literature study of the subject.8
A-W-3Preparation for the exam.10
A-W-4Exam2
40
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaEc_1A_B08_W01The student knows and understands the role of econometrics in economic analysis and research and knows and understands the stages of econometric modelling
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_W06He / she knows and understands at an advanced level issues in the field of quantitative methods (including mathematics, statistics, econometrics and theory of decision-making), as well as methods and tools (including IT) for obtaining, processing and presenting data on socio-economic phenomena and processes
Ec_1A_W01He / she knows and understands at an advanced level economic and social facts and phenomena as well as theories explaining the complex relationships between them constituting the basic general knowledge in the discipline of economics and finance, as well as selected issues in the field of detailed knowledge
Cel przedmiotuC-3Gain the ability to apply econometric methods in practice using computer software
Treści programoweT-W-4Econometric modeling of time series - trend models (linear, exponential), time series models with seasonal fluctuations.
T-W-1Areas of applications of mathematics in economics. Relations of econometrics with other sciences disciplines.
T-L-1Construction of an econometric model. Classification of variables in a model, classification of econometric models. Construction of a model hypothesis based on the description of the relationship between the variables.
T-L-2Selection of independent variables for the econometric model - the Hellwig's method.
T-L-3Test concerning construction of an econometric model, variable classification, model classification, Hellwig's method.
T-L-6Test concerning the estimation and validation of econometric models with two (or more) independent variables and time series models.
T-W-2The econometric model and its structure. Classification of variables in the model, classification of models, stages of the econometric modeling process.
Metody nauczaniaM-1The information and problem lecture with the use of a multimedia presentation.
M-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.
S-2Ocena formująca: Tests to evaluate periodic student achievements.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know and does not understand the role of econometrics in economic analyzes and research and does not know and does not understand the stages of econometric modeling
3,0The student knows and understands the role of econometrics in economic analyzes and research poorly and knows only some stages of econometric modeling, but has problems understanding them
3,5The student knows and understands the role of econometrics in economic analysis and research quite well and knows most of the stages of econometric modeling, but has problems understanding them
4,0The student knows and understands the role of econometrics in economic analysis and research and knows the stages of econometric modeling, but understands only some of them
4,5The student knows and understands the role of econometrics in economic analysis and research and knows and understands most stages of econometric modeling
5,0The student perfectly knows and understands the role of econometrics in economic analyzes and research and knows and understands all stages of econometric modeling
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaEc_1A_B08_W03The student knows and understands how to construct and solve decision-making models and knows and understands the interpretation of the obtained results.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_W03He / she knows and understands the research methodology in the field of economics and finance at an advanced level
Ec_1A_W06He / she knows and understands at an advanced level issues in the field of quantitative methods (including mathematics, statistics, econometrics and theory of decision-making), as well as methods and tools (including IT) for obtaining, processing and presenting data on socio-economic phenomena and processes
Cel przedmiotuC-2Obtain a basic knowledge about construction and solving methods of linear decision models
Treści programoweT-W-6Methods of solving linear programming problems - the geometrical method and the SIMPLEX method.
T-W-5The decision model and its structure. Decision model vs. the econometric model. Examples of linear programs – construction a decision model for example programs.
T-W-7Using an Excel spreadsheet (Solver add-in) to solve linear programming problems using the simplex method.
T-L-8Solving linear programming problems with the geometric method.
T-L-9Solving linear programming problems using the SIMPLEX method - traditionally and with the application of Excel (Solver add-in).
T-L-10Test concerning methods of solving linear programming problems.
T-L-7Construction of decision models.
Metody nauczaniaM-1The information and problem lecture with the use of a multimedia presentation.
M-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
S-2Ocena formująca: Tests to evaluate periodic student achievements.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know and does not understand the methods of constructing and solving decision models and does not know and does not understand the interpretation of the obtained results
3,0The student knows and understands the methods of constructing some decision models and knows and understands one of the methods of solving them, and requires the teacher's help when interpreting the results
3,5The student knows and understands the methods of constructing decision models and knows and understands one of the methods of solving them, and requires the teacher's help when interpreting some results
4,0The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them and knows and understands the interpretation of some results
4,5The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them and knows and understands the interpretation of most of the results
5,0The student knows and understands the methods of constructing decision models, knows and understands the methods of solving them, and knows and understands the interpretation of all obtained results
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaEc_1A_B08_U01Students will be able to construct an econometric model and determine its parameters using computer programs, and will be able to interpret the results of their research and relate them to economic practice.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U02He / she can apply knowledge to formulate and solve complex and unusual problems concerning socio-economic processes and phenomena in the micro-, meso- and macro-scale
Ec_1A_U04He / she is able to select and apply appropriate methods and tools, including advanced information and communication techniques for analysing and forecasting economic processes and phenomena and solving economic problems
Ec_1A_U01He / she can use knowledge to identify and interpret socio-economic processes and phenomena with the use of methods and tools appropriate for economics
Cel przedmiotuC-1Obtain basic knowledge about econometric modelling
C-3Gain the ability to apply econometric methods in practice using computer software
Treści programoweT-L-6Test concerning the estimation and validation of econometric models with two (or more) independent variables and time series models.
T-W-3Determination of structural coefficients of a single-equation econometric model with multiple independent variables using the least squares method. Model quality assessment (measures of goodness of fit, examination of the significance of coefficients of the model, examination of the autocorrelation of the random component).
T-L-1Construction of an econometric model. Classification of variables in a model, classification of econometric models. Construction of a model hypothesis based on the description of the relationship between the variables.
T-L-2Selection of independent variables for the econometric model - the Hellwig's method.
T-L-4Estimation and validation of a single-equation econometric model with two (or more) independent variables (linear, power form). Application of Excel and Statistica.
T-L-5Estimation and validation of trend models (linear, exponential form) and time series models with constant and relatively constant seasonality. Application of Excel and Statistica.
Metody nauczaniaM-1The information and problem lecture with the use of a multimedia presentation.
M-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
S-2Ocena formująca: Tests to evaluate periodic student achievements.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
Kryteria ocenyOcenaKryterium oceny
2,0The student is unable to build an econometric model and determine its parameters using computer programs and is unable to interpret the results of the conducted research and is unable to relate them to economic practice
3,0The student is able to sufficiently build an econometric model and determine its parameters using computer programs and is able to interpret the results of the research and is able to relate them to economic practice
3,5The student is able to build an econometric model and determine its parameters using computer programs to a more than sufficient degree, and is able to interpret the results of the conducted research and is able to relate them to business practice
4,0The student is able to build an econometric model to a good degree and determine its parameters using computer programs and is able to interpret the results of the research and is able to relate them to business practice
4,5The student is able to build an econometric model and determine its parameters with the use of computer programs to a more than good degree and is able to interpret the results of the conducted research and is able to relate them to business practice
5,0The student is able to build an econometric model and determine its parameters using computer programs to a very good degree, and is able to interpret the results of the conducted research and is able to relate them to business practice
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaEc_1A_B08_U02Students will be able to build, solve with computer programs and make interpretation of linear decision-making models
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U04He / she is able to select and apply appropriate methods and tools, including advanced information and communication techniques for analysing and forecasting economic processes and phenomena and solving economic problems
Ec_1A_U02He / she can apply knowledge to formulate and solve complex and unusual problems concerning socio-economic processes and phenomena in the micro-, meso- and macro-scale
Ec_1A_U01He / she can use knowledge to identify and interpret socio-economic processes and phenomena with the use of methods and tools appropriate for economics
Cel przedmiotuC-3Gain the ability to apply econometric methods in practice using computer software
C-2Obtain a basic knowledge about construction and solving methods of linear decision models
Treści programoweT-L-10Test concerning methods of solving linear programming problems.
T-L-7Construction of decision models.
T-W-6Methods of solving linear programming problems - the geometrical method and the SIMPLEX method.
T-W-5The decision model and its structure. Decision model vs. the econometric model. Examples of linear programs – construction a decision model for example programs.
T-L-8Solving linear programming problems with the geometric method.
T-L-9Solving linear programming problems using the SIMPLEX method - traditionally and with the application of Excel (Solver add-in).
Metody nauczaniaM-1The information and problem lecture with the use of a multimedia presentation.
M-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.
Sposób ocenyS-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
S-2Ocena formująca: Tests to evaluate periodic student achievements.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
Kryteria ocenyOcenaKryterium oceny
2,0The student is unable to build, solve using computer programs and interpret linear decision models
3,0The student is sufficiently able to build, solve with the use of computer programs and interpret linear decision models
3,5The student is able to build, solve with the use of computer programs and interpret linear decision models in a more than sufficient degree
4,0The student is able to build, solve with the use of computer programs and interpret linear decision models in a good degree
4,5The student is more than good at building, solving with the use of computer programs and interpreting linear decision models
5,0The student is able to build, solve with the use of computer programs and interpret linear decision models in a very good degree
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaEc_1A_B08_K01The student is ready to solve problematic issues related to the selecting of methods and tools used in econometrics
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_K01He / she is ready to critically assess the possessed knowledge, skills and received content, to recognise the importance of knowledge in solving cognitive and practical problems, and is aware of the need to consult experts in case of difficulties with solving the problem on his / her own
Cel przedmiotuC-1Obtain basic knowledge about econometric modelling
C-2Obtain a basic knowledge about construction and solving methods of linear decision models
C-3Gain the ability to apply econometric methods in practice using computer software
Treści programoweT-W-4Econometric modeling of time series - trend models (linear, exponential), time series models with seasonal fluctuations.
T-W-5The decision model and its structure. Decision model vs. the econometric model. Examples of linear programs – construction a decision model for example programs.
T-W-2The econometric model and its structure. Classification of variables in the model, classification of models, stages of the econometric modeling process.
T-W-6Methods of solving linear programming problems - the geometrical method and the SIMPLEX method.
T-L-1Construction of an econometric model. Classification of variables in a model, classification of econometric models. Construction of a model hypothesis based on the description of the relationship between the variables.
T-L-10Test concerning methods of solving linear programming problems.
T-W-7Using an Excel spreadsheet (Solver add-in) to solve linear programming problems using the simplex method.
T-L-3Test concerning construction of an econometric model, variable classification, model classification, Hellwig's method.
T-L-6Test concerning the estimation and validation of econometric models with two (or more) independent variables and time series models.
T-W-3Determination of structural coefficients of a single-equation econometric model with multiple independent variables using the least squares method. Model quality assessment (measures of goodness of fit, examination of the significance of coefficients of the model, examination of the autocorrelation of the random component).
T-L-2Selection of independent variables for the econometric model - the Hellwig's method.
T-L-4Estimation and validation of a single-equation econometric model with two (or more) independent variables (linear, power form). Application of Excel and Statistica.
T-L-5Estimation and validation of trend models (linear, exponential form) and time series models with constant and relatively constant seasonality. Application of Excel and Statistica.
T-L-8Solving linear programming problems with the geometric method.
T-L-9Solving linear programming problems using the SIMPLEX method - traditionally and with the application of Excel (Solver add-in).
Metody nauczaniaM-2Laboratory exercises with the use of a computer along with a didactic discussion related to the lecture.
M-1The information and problem lecture with the use of a multimedia presentation.
Sposób ocenyS-2Ocena formująca: Tests to evaluate periodic student achievements.
S-3Ocena formująca: Evaluation the results of homework done independently and in a team aimed at identifying gaps in the knowledge and skills of the student.
S-4Ocena podsumowująca: Passing laboratory exercises on the basis of grades from tests, homework and activity during classes.
S-1Ocena podsumowująca: Written exam concerning lectures, containing theoretical issues and self-solving tasks.
Kryteria ocenyOcenaKryterium oceny
2,0The student is not ready to solve problematic issues related to the choice of methods and tools used in econometrics
3,0The student is sufficiently ready to solve problematic issues related to the choice of methods and tools used in econometrics
3,5The student is more than sufficiently ready to solve problematic issues related to the choice of methods and tools used in econometrics
4,0A good student is ready to solve problematic issues related to the choice of methods and tools used in econometrics
4,5The student is more than good at solving problematic issues related to the choice of methods and tools used in econometrics
5,0A student with a very good degree is ready to solve problematic issues related to the choice of methods and tools used in econometrics