Wydział Ekonomiczny - Economics (S1)
specjalność: Property Valuation and Real Estate Transactions
Sylabus przedmiotu Quantitative Methods in Economy:
Informacje podstawowe
| Kierunek studiów | Economics | ||
|---|---|---|---|
| Forma studiów | studia stacjonarne | Poziom | pierwszego stopnia |
| Tytuł zawodowy absolwenta | licencjat | ||
| Obszary studiów | charakterystyki PRK | ||
| Profil | ogólnoakademicki | ||
| Moduł | — | ||
| Przedmiot | Quantitative Methods in Economy | ||
| 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) | 3,0 | ECTS (formy) | 3,0 |
| Forma zaliczenia | egzamin | Język | polski |
| Blok obieralny | — | Grupa obieralna | — |
Formy dydaktyczne
Wymagania wstępne
| KOD | Wymaganie wstępne |
|---|---|
| W-1 | Basic knowledge of mathematics, descriptive statistics, econometrics as well as general economic knowledge. |
| W-2 | Skill to use an Excel spreadsheet and the Statgraphics program. |
Cele przedmiotu
| KOD | Cel modułu/przedmiotu |
|---|---|
| C-1 | Obtaining basic knowledge and gaining practical skills in the application of quantitative methods in practice, using Statgraphics statistical package and Excel spreadsheet. |
Treści programowe z podziałem na formy zajęć
| KOD | Treść programowa | Godziny |
|---|---|---|
| laboratoria | ||
| T-L-1 | The estimation and validation of the Cobb-Douglas production function. | 2 |
| T-L-2 | Forecasting based on flexibility of production function. | 2 |
| T-L-3 | The standard and econometric break-even point. | 2 |
| T-L-4 | Test. | 1 |
| T-L-5 | The open and closed transport problem. | 3 |
| T-L-6 | The transport problem with the time criterion. | 3 |
| T-L-7 | Test. | 2 |
| 15 | ||
| wykłady | ||
| T-W-1 | The analysis of production and work efficiency. | 2 |
| T-W-2 | Modeling of total and unit costs. | 2 |
| T-W-3 | The econometric analysis of the break-even point. | 3 |
| T-W-4 | The analysis of technical, economic, organizational and human progress. | 2 |
| T-W-5 | The economic effectiveness analysis. | 2 |
| T-W-6 | Economic and mathematical formulation of the transport problem. | 4 |
| 15 | ||
Obciążenie pracą studenta - formy aktywności
| KOD | Forma aktywności | Godziny |
|---|---|---|
| laboratoria | ||
| A-L-1 | The preparation to classes. | 15 |
| A-L-2 | The literature study of the subject. | 9 |
| A-L-3 | The participation in classes. | 15 |
| A-L-4 | The preparation to the test. | 15 |
| A-L-5 | Consultation | 6 |
| 60 | ||
| wykłady | ||
| A-W-1 | The participation in classes. | 15 |
| A-W-2 | The literature study of the subject. | 3 |
| A-W-3 | The preparation to the exam. | 4 |
| A-W-4 | Exam | 2 |
| A-W-5 | Colsultation | 6 |
| 30 | ||
Metody nauczania / narzędzia dydaktyczne
| KOD | Metoda nauczania / narzędzie dydaktyczne |
|---|---|
| M-1 | The information and problem lecture in the form of a multimedia presentation with examples and control questions. |
| M-2 | Exercises with the use of a computer along with didactic discussion related to the lecture. |
Sposoby oceny
| KOD | Sposób oceny |
|---|---|
| S-1 | Ocena podsumowująca: Exam in a written form that tests knowledge of both theory and applications. |
| S-2 | Ocena podsumowująca: Two final tests consisting in solving problem tasks from the subject. |
| S-3 | Ocena formująca: The presentation of tasks solved by the team. |
Zamierzone efekty uczenia się - wiedza
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| E_1A_C12_W01 The student knows the basic principles of analysis of the production process, work efficiency, costs, break-even point, economic effectiveness and the effects of technical and organizational progress in the enterprise. | E_1A_W01, E_1A_W06, E_1A_W07 | — | C-1 | T-W-1, T-W-2, T-W-3, T-W-4, T-W-5 | M-1 | S-1, S-2 |
| E_1A_C12_W02 The student knows the basic principles of economic and mathematical formulation of the transport problem. | E_1A_W01, E_1A_W06, E_1A_W07 | — | C-1 | T-W-6, T-L-6, T-L-5 | M-1, M-2 | S-1, S-2 |
Zamierzone efekty uczenia się - umiejętności
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| E_1A_C12_U01 The student skillfully applies quantitative methods in practice with the application of statistical packages Statgraphics, Statistica and an Excel spreadsheet. | E_1A_U01, E_1A_U02, E_1A_U07, E_1A_U09, E_1A_U11 | — | C-1 | T-W-1, T-W-2, T-L-1, T-L-2, T-L-3 | M-2 | S-2 |
| E_1A_C12_U02 The student formulates and solves the transport problem, validate and makes interpretation of the received solutions. | E_1A_U01, E_1A_U02, E_1A_U07, E_1A_U20 | — | C-1 | T-W-6, T-L-6, T-L-5 | M-2 | S-2 |
Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| E_1A_C12_K01 The student mastered the principles of individual and team work. | E_1A_K02, E_1A_K05, E_1A_K08, E_1A_K01 | — | C-1 | T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-L-6, T-L-5 | M-1, M-2 | S-2, S-3 |
Kryterium oceny - wiedza
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_C12_W01 The student knows the basic principles of analysis of the production process, work efficiency, costs, break-even point, economic effectiveness and the effects of technical and organizational progress in the enterprise. | 2,0 | The student does not know the methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He can not determine and make interpretation of the break-even point. |
| 3,0 | Student, is able to list and characterize the basic methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He knows the conditions of applicability of these methods. | |
| 3,5 | Student, is able to list and characterize the basic methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He knows the conditions of applicability of these methods. He can analytically determine and make interpretation of the classical break-even point. | |
| 4,0 | Student, is able to list and characterize the basic methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He knows the conditions of applicability of these methods. Is able to calculate short-term forecasts based on production, efficiency and cost models. He is able to analytically and graphically determine the break-even point even with unmet classical assumptions and to interpret the obtained results. Has knowledge about the study of economy effectiveness and the effects of technical and organizational progress in the enterprise. | |
| 4,5 | Student, is able to list and characterize the basic methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He knows the conditions of applicability of these methods. Is able to determine short-term forecasts based on production, efficiency and cost models. He is able to the analytical and graphical determine break even in the case of unmet classical assumptions. He can make interpretation of the obtained results. He analyzes the company's situation on his own. | |
| 5,0 | Student, is able to list and characterize the basic methods of modeling and analyzing the production volume, labor productivity and costs in the enterprise. He knows the conditions of applicability of these methods. Is able to determine short-term forecasts based on production, performance and cost models. He is able to determine the analytical and graphical break even in the case of unmet classical assumptions. He can make interpretation of the obtained results. On the basis of the methods he knows, he is able to analyzes and diagnoses the situation of the company against the background of other enterprises due to the level of production, productivity, costs, economy effectiveness and technical and organizational progress. | |
| E_1A_C12_W02 The student knows the basic principles of economic and mathematical formulation of the transport problem. | 2,0 | The student does not know the principles and methods of analyzing and solving the transport problem. |
| 3,0 | The student can list and characterize the methods of analyzing and solving the transport problem. He does not know the conditions of their applicability. Is able to determine the basic solution at least one of the methods learned. | |
| 3,5 | The student can list and characterize the methods of analyzing and solving the transport problem. He knows the conditions of their applicability. He knows how to determine the basic solution at least one of the known methods. | |
| 4,0 | The student can list and characterize the methods of analyzing and solving the transport problem. He knows the conditions of their applicability. He knows how to determine the optimal solution using the methods proposed by the teacher. | |
| 4,5 | The student can list and characterize the methods of analyzing and solving the transport problem. He knows the conditions of their applicability. He knows how to determine the optimal solution and make interpretation of it. | |
| 5,0 | The student can list and characterize the methods of analyzing and solving the transport problem. He knows the conditions of their applicability. He knows how to determine the optimal solution, also with non-standard assumptions. |
Kryterium oceny - umiejętności
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_C12_U01 The student skillfully applies quantitative methods in practice with the application of statistical packages Statgraphics, Statistica and an Excel spreadsheet. | 2,0 | The student is not able to use statistical packages Statgraphics, Statistica and Excel spreadsheet for quantitative analysis of economic phenomena. |
| 3,0 | The student is not able to use statistical packages Statgraphics, Statistica and Excel spreadsheet for quantitative analysis of economic phenomena. | |
| 3,5 | The student is able to use the statistical packages proposed in the classes for quantitative analysis of economic phenomena only with the help of the teacher. | |
| 4,0 | Student uses statistical packages Statgraphics, Statistica and Excel spreadsheet for quantitative analysis of economic phenomena. | |
| 4,5 | Student uses statistical packages Statgraphics, Statistica and Excel spreadsheet for quantitative analysis of economic phenomena. He can make interpretation of the obtained results. | |
| 5,0 | Student uses statistical packages Statgraphics, Statistica and Excel spreadsheet for quantitative analysis of economic phenomena. Is able to make interpretation of the obtained results and presents them. | |
| E_1A_C12_U02 The student formulates and solves the transport problem, validate and makes interpretation of the received solutions. | 2,0 | The student can not solve the transport problem. |
| 3,0 | The student is able to determine the basic solution at least one of the learned methods. | |
| 3,5 | Student is able to determine the basic solution using all the methods proposed by the teacher. | |
| 4,0 | The student is able to solve the open and closed transport problem. He can independently determine the optimal solution.. | |
| 4,5 | The student is able to solve the open and closed transport problem. Can independently determine the optimal solution and make interpretation of it. | |
| 5,0 | The student is able to solve the open and closed transport problem. He can independently determine the optimal solution, also with non-standard assumptions. |
Kryterium oceny - inne kompetencje społeczne i personalne
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_C12_K01 The student mastered the principles of individual and team work. | 2,0 | The student has not mastered the principles of individual and team work. |
| 3,0 | The student is able to conduct an individual study in the field of quantitative methods, and with the teacher's help organize a group presentation. | |
| 3,5 | The student is able to conduct an individual study in the field of quantitative methods and organize a group presentation. | |
| 4,0 | The 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 to identify the methods and tools needed to solve the defined problem and make a preliminary analysis of the results. | |
| 4,5 | The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, identify methods and tools needed to solve a defined problem, and make a comprehensive analysis of the results. | |
| 5,0 | The student has mastered the principles of individual and team work, can independently organize and conduct an individual or group presentation, identify methods and tools needed to solve a defined problem, make a comprehensive analysis of the obtained results, use all modules of known statistical programs. |
Literatura podstawowa
- McClave J.T., Benson P.G., Sincich T., Statistics for Business and Economics, Pearson/Prentice Hall, Upper Saddle River, 2008, 10
- Bhargava A., Econometrics, Statistics And Computational Approaches In Food And Health Sciences, World Scientific Publishing Co. Pte. Ltd., Singapore, 2006, ProQuest Ebook Central
- Bazaraa M.S., Sherali H.D., Jarvis J.J., Linear Programming and Network Flows, John Wiley & Sons, New York, 1990, 2
- Kolman B., Robert E.B., Elementary Linear Programming with Applications, Elsevier Science & Technology, 1995, 2, ProQuest Ebook Central
Literatura dodatkowa
- Maddala G.S., Introduction to Econometrics, Wiley, 2011, 4
- Anderson D.R., Sweeney D.J., Williams T.A., Statistics for Business and Economics, South-Western Cengage Learning, Manson, 2019, 14
- Aczel A.D., Souderpandian J., Complete Business Statistics, McGraw-Hill/Irwin, 2008, 7
- Hiller F.S., Lieberman G.J., Introduction to operational research, McGraw-Hill, 2021, 11
- Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1
- Hozer J. (red.), Ekonometria stosowana w przykładach i zadaniach, Katedra Ekonometrii i Statystyki Uniwersytetu Szczecińskiego, Stowarzyszenie Pomoc i Rozwój, Szczecin, 2007
- Hozer J. (red.), Ekonometria, Uniwersytet Szczeciński, Szczecin, 1997
- Hozer J., Mikroekonometria. Analizy. Diagnozy. Prognozy, PWE, Warszawa, 1993
- Jędrzejczyk Z., Kukuła K., Skrzypek J., Badania operacyjne w przykładach i zadaniach, PWN, Warszawa, 2015
- Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Wzory i tablice. Metody statystyczne i ekonometryczne, CeDeWu, Warszawa, 2019, 2
- Szapiro T. (red.), Decyzje menadżerskie z Excelem, PWE, Warszawa, 2000
- Bąk I., Szczecińska B., Wydatki gospodarstw domowych 50+ a aktywność ekonomiczna, Metody ilościowe w Badaniach Ekonomicznych, Warszawa, 2017, (18)2
- Goryl A., Jędrzejczyk Z., Kukuła K., Wprowadzenie do ekonometrii, PWN, Warszawa, 2009