Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Operational Research:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Operational Research
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny Maciej Oesterreich <Maciej.Oesterreich@zut.edu.pl>
Inni nauczyciele Maciej Oesterreich <Maciej.Oesterreich@zut.edu.pl>
ECTS (planowane) 3,0 ECTS (formy) 3,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 10 1,00,50zaliczenie
laboratoriaL1 20 2,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Completed courses of mathematics, statistics, econometrics. Basic knowledge of economics.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To gain basic theoretical and practical knowledge about application of linear programing methods to help make decisions which minimalize or maximize economic effect (profit / cost).
C-2To gain skills in the use of computer programs to solve linear programming problems.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Linear programming: graphical method4
T-L-2Linear programming: SIMPLEX method4
T-L-3Application of spreadsheets (MS Excel, LibreOffice) in solving linear programming problems2
T-L-4Practical test 12
T-L-5Linear programming: dual models2
T-L-6Linear programming: sensitivity analysis2
T-L-7Linear programming: integer programming2
T-L-8Practical test 22
20
wykłady
T-W-1Linear programming - basic definition2
T-W-2Universal methods of solving linear programming problems4
T-W-3Linear programming: dual programs1
T-W-4Linear programming: sensitivity analysis1
T-W-5Linear programming: integer programming1
T-W-6Theory test1
10

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes20
A-L-2Own work20
A-L-3Preparation for practical tests10
50
wykłady
A-W-1Participation in classes10
A-W-2Own work10
A-W-3Preparation for theory test5
25

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture with multimedial presentation
M-2Exercises during laboratories

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: In-class activity and participation.
S-2Ocena podsumowująca: Written tests.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WEKON_1-_??_W01
Student will gain basic knowledge about: construction of decision models, application of linear programming methods to solve various types of economic problems, application of computer software in calculation.
C-1, C-2T-W-3, T-W-4, T-W-1, T-W-2M-1S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WEKON_1-_OPR_U01
The student is able to formulate a decision problem and make it the choice of research methods.
C-1, C-2T-L-1, T-L-2, T-L-3, T-L-5, T-L-6, T-L-7M-2S-1, S-2
WM-WEKON_1-_OPR_U02
The student is able to apply appropriate methods and IT tools to solve decision problems and make interpretation of the results of the conducted research, and also refer to it into business practice.
C-1, C-2T-L-1, T-L-2, T-L-3, T-L-5, T-L-6, T-L-7M-2S-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
WM-WEKON_1-_OPR_K01
The student has mastered the principles of individual and team work.
C-1, C-2T-W-3, T-W-4, T-W-1, T-W-2, T-W-5, T-L-1, T-L-2, T-L-3, T-L-5, T-L-6, T-L-7M-2S-1

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_??_W01
Student will gain basic knowledge about: construction of decision models, application of linear programming methods to solve various types of economic problems, application of computer software in calculation.
2,0
3,0The student has a basic knowledge of the methodology and areas of use of operational research to solve economic problems.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_OPR_U01
The student is able to formulate a decision problem and make it the choice of research methods.
2,0
3,0The student is able to formulate with the help of the teacher: a decision problem and make a selection of research methods
3,5
4,0
4,5
5,0
WM-WEKON_1-_OPR_U02
The student is able to apply appropriate methods and IT tools to solve decision problems and make interpretation of the results of the conducted research, and also refer to it into business practice.
2,0
3,0The student is able, with the help of a teacher, to propose appropriate methods and IT tools for solving decision problems
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_1-_OPR_K01
The student has mastered the principles of individual and team work.
2,0
3,0The student is able to carry out an individual examination on his own, and with the help of the teacher, organize work in a group
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Lieberman G.J., Hillier F.S, Introduction to Operations Research, McGraw-Hill, 2021, 11
  2. Murthy P.R, Operations Research, New Age International, 2007, 2
  3. Srinivasan G., Operations Research. Principles and Applictaions, PHI Learning, New Delhi, 2010, 2

Literatura dodatkowa

  1. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Formulas and Tables, CeDeWu, Warszawa, 2021, 1

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Linear programming: graphical method4
T-L-2Linear programming: SIMPLEX method4
T-L-3Application of spreadsheets (MS Excel, LibreOffice) in solving linear programming problems2
T-L-4Practical test 12
T-L-5Linear programming: dual models2
T-L-6Linear programming: sensitivity analysis2
T-L-7Linear programming: integer programming2
T-L-8Practical test 22
20

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Linear programming - basic definition2
T-W-2Universal methods of solving linear programming problems4
T-W-3Linear programming: dual programs1
T-W-4Linear programming: sensitivity analysis1
T-W-5Linear programming: integer programming1
T-W-6Theory test1
10

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes20
A-L-2Own work20
A-L-3Preparation for practical tests10
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes10
A-W-2Own work10
A-W-3Preparation for theory test5
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_??_W01Student will gain basic knowledge about: construction of decision models, application of linear programming methods to solve various types of economic problems, application of computer software in calculation.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about application of linear programing methods to help make decisions which minimalize or maximize economic effect (profit / cost).
C-2To gain skills in the use of computer programs to solve linear programming problems.
Treści programoweT-W-3Linear programming: dual programs
T-W-4Linear programming: sensitivity analysis
T-W-1Linear programming - basic definition
T-W-2Universal methods of solving linear programming problems
Metody nauczaniaM-1Lecture with multimedial presentation
Sposób ocenyS-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student has a basic knowledge of the methodology and areas of use of operational research to solve economic problems.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_OPR_U01The student is able to formulate a decision problem and make it the choice of research methods.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about application of linear programing methods to help make decisions which minimalize or maximize economic effect (profit / cost).
C-2To gain skills in the use of computer programs to solve linear programming problems.
Treści programoweT-L-1Linear programming: graphical method
T-L-2Linear programming: SIMPLEX method
T-L-3Application of spreadsheets (MS Excel, LibreOffice) in solving linear programming problems
T-L-5Linear programming: dual models
T-L-6Linear programming: sensitivity analysis
T-L-7Linear programming: integer programming
Metody nauczaniaM-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation.
S-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to formulate with the help of the teacher: a decision problem and make a selection of research methods
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_OPR_U02The student is able to apply appropriate methods and IT tools to solve decision problems and make interpretation of the results of the conducted research, and also refer to it into business practice.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about application of linear programing methods to help make decisions which minimalize or maximize economic effect (profit / cost).
C-2To gain skills in the use of computer programs to solve linear programming problems.
Treści programoweT-L-1Linear programming: graphical method
T-L-2Linear programming: SIMPLEX method
T-L-3Application of spreadsheets (MS Excel, LibreOffice) in solving linear programming problems
T-L-5Linear programming: dual models
T-L-6Linear programming: sensitivity analysis
T-L-7Linear programming: integer programming
Metody nauczaniaM-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation.
S-2Ocena podsumowująca: Written tests.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able, with the help of a teacher, to propose appropriate methods and IT tools for solving decision problems
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_1-_OPR_K01The student has mastered the principles of individual and team work.
Cel przedmiotuC-1To gain basic theoretical and practical knowledge about application of linear programing methods to help make decisions which minimalize or maximize economic effect (profit / cost).
C-2To gain skills in the use of computer programs to solve linear programming problems.
Treści programoweT-W-3Linear programming: dual programs
T-W-4Linear programming: sensitivity analysis
T-W-1Linear programming - basic definition
T-W-2Universal methods of solving linear programming problems
T-W-5Linear programming: integer programming
T-L-1Linear programming: graphical method
T-L-2Linear programming: SIMPLEX method
T-L-3Application of spreadsheets (MS Excel, LibreOffice) in solving linear programming problems
T-L-5Linear programming: dual models
T-L-6Linear programming: sensitivity analysis
T-L-7Linear programming: integer programming
Metody nauczaniaM-2Exercises during laboratories
Sposób ocenyS-1Ocena formująca: In-class activity and participation.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to carry out an individual examination on his own, and with the help of the teacher, organize work in a group
3,5
4,0
4,5
5,0