Wydział Ekonomiczny - Economics (S1)
Sylabus przedmiotu Descriptive statistics:
Informacje podstawowe
| Kierunek studiów | Economics | ||
|---|---|---|---|
| Forma studiów | studia stacjonarne | Poziom | pierwszego stopnia |
| Tytuł zawodowy absolwenta | licencjat | ||
| Obszary studiów | charakterystyki PRK | ||
| Profil | ogólnoakademicki | ||
| Moduł | — | ||
| Przedmiot | Descriptive statistics | ||
| Specjalność | przedmiot wspólny | ||
| Jednostka prowadząca | Katedra Zastosowań Matematyki w Ekonomii | ||
| Nauczyciel odpowiedzialny | Joanna Perzyńska <joanna.perzynska@zut.edu.pl> | ||
| Inni nauczyciele | Aneta Becker <aneta.becker@zut.edu.pl>, Katarzyna Wawrzyniak <Katarzyna.Wawrzyniak@zut.edu.pl> | ||
| ECTS (planowane) | 6,0 | ECTS (formy) | 6,0 |
| Forma zaliczenia | egzamin | Język | polski |
| Blok obieralny | — | Grupa obieralna | — |
Formy dydaktyczne
Wymagania wstępne
| KOD | Wymaganie wstępne |
|---|---|
| W-1 | The student has knowledge of the basics of mathematical analysis and general economic knowledge. |
| W-2 | The student is able to use a spreadsheet. |
Cele przedmiotu
| KOD | Cel modułu/przedmiotu |
|---|---|
| C-1 | Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena. |
| C-2 | Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet. |
| C-3 | Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results. |
Treści programowe z podziałem na formy zajęć
| KOD | Treść programowa | Godziny |
|---|---|---|
| laboratoria | ||
| T-L-1 | Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material. | 6 |
| T-L-2 | Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure. | 8 |
| T-L-3 | Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function. | 6 |
| T-L-4 | Determination and interpretation of increments and individual indicators. | 6 |
| T-L-5 | Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations. | 4 |
| 30 | ||
| wykłady | ||
| T-W-1 | Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection). | 4 |
| T-W-2 | Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement). | 4 |
| T-W-3 | Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics). | 4 |
| T-W-4 | Analysis of time series (methods of testing short-term changes, decomposition of time series). | 3 |
| 15 | ||
Obciążenie pracą studenta - formy aktywności
| KOD | Forma aktywności | Godziny |
|---|---|---|
| laboratoria | ||
| A-L-1 | Preparation for classes. | 24 |
| A-L-2 | Studying the literature. | 20 |
| A-L-3 | Homework (individual and group). | 17 |
| A-L-4 | Preparation for test. | 15 |
| A-L-5 | Participation in classes. | 30 |
| A-L-6 | Consultation | 12 |
| A-L-7 | Colloquium | 2 |
| 120 | ||
| wykłady | ||
| A-W-1 | Participation to exam. | 26 |
| A-W-2 | Studying the literature. | 11 |
| A-W-3 | Participation in lectures. | 15 |
| A-W-4 | Participation in exam. | 2 |
| A-W-5 | Consultation | 6 |
| 60 | ||
Metody nauczania / narzędzia dydaktyczne
| KOD | Metoda nauczania / narzędzie dydaktyczne |
|---|---|
| M-1 | Information-problem lecture using multimedia techniques. |
| M-2 | Laboratory exercises using a computer. |
Sposoby oceny
| KOD | Sposób oceny |
|---|---|
| S-1 | Ocena podsumowująca: Exam in a written form containing theoretical issues and tasks for self-solution. |
| S-2 | Ocena formująca: Tests aimed at identifying student knowledge and skills gaps. |
| S-3 | Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages. |
| S-4 | Ocena podsumowująca: Completion of laboratory exercises based on test grades. |
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_B06_W01 The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena. | E_1A_W01, E_1A_W02, E_1A_W03, E_1A_W04, E_1A_W05, E_1A_W06, E_1A_W07 | — | C-1, C-3 | T-W-2, T-W-1, T-W-3, T-W-4, T-L-1, T-L-2, T-L-3, T-L-4, T-L-5 | M-1, M-2 | S-1, S-2, S-3, S-4 |
| E_1A_B06_W02 The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues. | E_1A_W01, E_1A_W02, E_1A_W03, E_1A_W04, E_1A_W06, E_1A_W07 | — | C-2, C-3 | T-L-1, T-L-2, T-L-3, T-L-4, T-L-5 | M-2 | S-2, S-3, S-4 |
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_B06_U01 The student can organize a statistical survey, collect, present and analyze statistical material. | E_1A_U01, E_1A_U02, E_1A_U03, E_1A_U04, E_1A_U08, E_1A_U09, E_1A_U11, E_1A_U12, E_1A_U13, E_1A_U14, E_1A_U17, E_1A_U18, E_1A_U15 | — | C-2, C-3 | T-W-1, T-L-1 | M-2 | S-2, S-3 |
| E_1A_B06_U02 Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice. | E_1A_U01, E_1A_U02, E_1A_U04, E_1A_U07, E_1A_U08, E_1A_U09, E_1A_U11, E_1A_U12, E_1A_U13, E_1A_U14, E_1A_U17, E_1A_U18, E_1A_U15 | — | C-1, C-2, C-3 | T-W-2, T-W-3, T-W-4, T-L-2, T-L-3, T-L-4, T-L-5 | M-1, M-2 | S-1, S-2, S-3, S-4 |
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_B06_K01 The student mastered the principles of individual and group work. | E_1A_K02, E_1A_K05, E_1A_K08, E_1A_K01 | — | C-1, C-2, C-3 | T-W-1, T-L-1, T-L-2, T-L-3, T-L-4, T-L-5 | M-1, M-2 | S-2, S-3, S-4 |
Kryterium oceny - wiedza
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_B06_W01 The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena. | 2,0 | |
| 3,0 | The student knows some of the basic concepts of descriptive statistics, knows (with the help of the lecturer) how to acquire and present statistical material and can point out a few methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena. | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 | ||
| E_1A_B06_W02 The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues. | 2,0 | |
| 3,0 | The student knows several modules of statistical packages and knows (with the teacher's help) how to use statistical knowledge to solve tasks on socio-economic issues. | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Kryterium oceny - umiejętności
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_B06_U01 The student can organize a statistical survey, collect, present and analyze statistical material. | 2,0 | |
| 3,0 | The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 | ||
| E_1A_B06_U02 Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice. | 2,0 | |
| 3,0 | The student is able to apply some (indicated by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of the survey. | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Kryterium oceny - inne kompetencje społeczne i personalne
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| E_1A_B06_K01 The student mastered the principles of individual and group work. | 2,0 | |
| 3,0 | The student is able to conduct an individual statistical survey, and with the teacher's help organizes a group work. | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Literatura podstawowa
- McClave J.T., Benson P.G., Sincich T., Statistics for Business and Economics, Pearson/Prentice Hall, Upper Saddle River, 2008
- Bhargava A., Statistics And Computational Approaches In Food And Health Sciences, World Scientific Publishing Co. Pte. Ltd., ProQuest Ebook Central, Singapore, 2006
- Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021
- Nielsen Aileen, Practical time series analysis : prediction with statistics and machine learning, O'Reilly, Beijing, 2020
- Spellman Frank R., Handbook of mathematics and statistics for the environment, CRC Press/Taylor & Francis Group, Boca Raton, 2014
Literatura dodatkowa
- Aczel A.D., Sounderpandian J., Complete Business Statistics, McGraw-Hill, 2008
- Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Statystyka opisowa. Przykłady i zadania, CeDeWu, Warszawa, 2015