Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

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

Sylabus przedmiotu Analysis and planning methods:

Informacje podstawowe

Kierunek studiów Economics
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta licencjat
Obszary studiów charakterystyki PRK
Profil ogólnoakademicki
Moduł —
Przedmiot Analysis and planning methods
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny Henryk Marjak <Henryk.Marjak@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 3,0 ECTS (formy) 3,0
Forma zaliczenia egzamin Język polski
Blok obieralny — Grupa obieralna —

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
ćwiczenia audytoryjneA5 25 2,00,50zaliczenie
wykładyW5 15 1,00,50egzamin

Wymagania wstępne

KODWymaganie wstępne
W-1Student should know the basics of microeconomics and the basics of business management
W-2Student is able to analyze the information necessary to assess the decision-making situation

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Familiarize students with the methods of supporting decision-making processes
C-2Shaping the ability to choose a particular analysis method depending on the conditions

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Basic principles of analysis and planning. Analysis of decision-making under uncertainty and risk.2
T-A-2Decision making under uncertainty2
T-A-3Decision making under risk2
T-A-4Two-person zero-sum games3
T-A-5Colloquium 12
T-A-6Network Programming - problem solving CPM methods.2
T-A-7PERT methods2
T-A-8Time and cost analysis4
T-A-9Queuing systems2
T-A-10Colloquium 22
T-A-11Inventory models2
25
wykłady
T-W-1Analysis of decision-making under uncertainty and risk3
T-W-2Personal games3
T-W-3Solving problems with the use of network programming4
T-W-4Analytical models of queuing systems3
T-W-5Analysis of inventory problems2
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Participation in classes25
A-A-2Preparing for exercises10
A-A-3Preparing for colloquiums15
50
wykłady
A-W-1Participation in lectures15
A-W-2Getting to know the literature of the subject4
A-W-3Preparing to pass a written4
A-W-4Exam2
25

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Method of giving / Information lecture
M-2Problem method/Problem lecture
M-3Activation method / Case method
M-4Practical method / Auditory exercises

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Written exam from lectures in the form of test
S-2Ocena podsumowująca: Colloquiums from practice: tasks to be solved
S-3Ocena formująca: Rating activity participation in student activities, involving the preparation of a topic discussed in class

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
Ec_1A_C16/5.2_W01
Student knows and understands methods supporting the process of making managerial decisions		Ec_1A_W06—C-1T-W-4, T-W-1, T-W-3, T-W-5, T-W-2M-1, M-2S-1

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
Ec_1A_C16/5.2_U01
Student is able to evaluate information in the decision-making process		Ec_1A_U01, Ec_1A_U02—C-2T-A-1, T-A-2, T-A-3, T-A-6, T-A-9, T-A-7, T-A-8M-4, M-3S-2
Ec_1A_C16/5.2_U02
Student is able to make an economic decision using the appropriate method		Ec_1A_U03, Ec_1A_U04—C-2T-A-1, T-A-2, T-A-3, T-A-6, T-A-11, T-A-9, T-A-7, T-A-8, T-A-4, T-A-10, T-A-5M-4, M-3S-2, S-3

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
Ec_1A_C16/5.2_K01
Student is ready to make economic decisions		Ec_1A_K03—C-1, C-2T-W-4, T-W-1, T-W-3, T-W-5, T-A-1, T-A-2, T-A-3, T-A-6, T-A-11, T-A-9, T-A-7, T-A-8, T-A-4, T-A-10, T-W-2M-1, M-2, M-4, M-3S-1, S-2, S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_C16/5.2_W01
Student knows and understands methods supporting the process of making managerial decisions		2,0
3,0Student knows and understands the methods supporting decision-making processes to a sufficient degree.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_C16/5.2_U01
Student is able to evaluate information in the decision-making process		2,0
3,0Student is able to evaluate the information in the decision-making process to a sufficient degree
3,5
4,0
4,5
5,0
Ec_1A_C16/5.2_U02
Student is able to make an economic decision using the appropriate method		2,0
3,0Student is able to make an economic decision using the appropriate method to a sufficient degree
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_C16/5.2_K01
Student is ready to make economic decisions		2,0
3,0Student is ready to make economic decisions to a sufficient degree
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. T. Ichiischi, A. Neyman, Y. Tauman, Game Theory and Applications, Academic Press, Inc., London, New York, Boston, Sydney, San Diego, Tokyo, 2014, https://books.google.pl/books?hl=en&lr=&id=JD2jBQAAQBAJ&oi=fnd&pg=PP1&dq=game+theory+and+applications+in+economic&ots=JqrC39CM-N&sig=IkzneXI_omuAbQ1V6OMQEktdpnI&redir_esc=y#v=onepage&q=game%20theory%20and%20applications%20in%20economic&f=false
  2. Lau R.R., Models of Decision-Making, Oxford University Press, 2003, http://www.uky.edu/AS/PoliSci/Peffley/pdf/Lau.%20Models%20of%20Decision-Making.pdf
  3. Fang Z., Liu S., Shi H., Lin Y., Grey Game Theory and Its Applications in Econimic Decision_Making, Auerbach Publications, New York, 2016, https://www.taylorfrancis.com/books/mono/10.1201/9781420087406/grey-game-theory-applications-economic-decision-making-zhigeng-fang-sifeng-liu-hongxing-shi-yi-lin

Literatura dodatkowa

  1. Karmowska G., Marciniak M., Evaluation of innovation economies of the Central and Eastern Europe compared to other EU countries., Quantitative Methods in Economic Research, Warszawa, 2017, Z 1, T 18, s. 48-57
  2. Hiller F.S., Liberman J.S., Introduction to Operations Research, Mc Graw-Hill International Edition, 2009

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Basic principles of analysis and planning. Analysis of decision-making under uncertainty and risk.2
T-A-2Decision making under uncertainty2
T-A-3Decision making under risk2
T-A-4Two-person zero-sum games3
T-A-5Colloquium 12
T-A-6Network Programming - problem solving CPM methods.2
T-A-7PERT methods2
T-A-8Time and cost analysis4
T-A-9Queuing systems2
T-A-10Colloquium 22
T-A-11Inventory models2
25

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Analysis of decision-making under uncertainty and risk3
T-W-2Personal games3
T-W-3Solving problems with the use of network programming4
T-W-4Analytical models of queuing systems3
T-W-5Analysis of inventory problems2
15

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Participation in classes25
A-A-2Preparing for exercises10
A-A-3Preparing for colloquiums15
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in lectures15
A-W-2Getting to know the literature of the subject4
A-W-3Preparing to pass a written4
A-W-4Exam2
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_C16/5.2_W01Student knows and understands methods supporting the process of making managerial decisions
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
Cel przedmiotuC-1Familiarize students with the methods of supporting decision-making processes
Treści programoweT-W-4Analytical models of queuing systems
T-W-1Analysis of decision-making under uncertainty and risk
T-W-3Solving problems with the use of network programming
T-W-5Analysis of inventory problems
T-W-2Personal games
Metody nauczaniaM-1Method of giving / Information lecture
M-2Problem method/Problem lecture
Sposób ocenyS-1Ocena podsumowująca: Written exam from lectures in the form of test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student knows and understands the methods supporting decision-making processes to a sufficient degree.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_C16/5.2_U01Student is able to evaluate information in the decision-making process
Odniesienie do efektów kształcenia dla kierunku studiówEc_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
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
Cel przedmiotuC-2Shaping the ability to choose a particular analysis method depending on the conditions
Treści programoweT-A-1Basic principles of analysis and planning. Analysis of decision-making under uncertainty and risk.
T-A-2Decision making under uncertainty
T-A-3Decision making under risk
T-A-6Network Programming - problem solving CPM methods.
T-A-9Queuing systems
T-A-7PERT methods
T-A-8Time and cost analysis
Metody nauczaniaM-4Practical method / Auditory exercises
M-3Activation method / Case method
Sposób ocenyS-2Ocena podsumowująca: Colloquiums from practice: tasks to be solved
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student is able to evaluate the information in the decision-making process to a sufficient degree
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_C16/5.2_U02Student is able to make an economic decision using the appropriate method
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U03He / she is able to solve tasks and problems in conditions that are not fully predictable, properly selecting sources and information from them, making their evaluation, making a critical analysis of them and synthesising them
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
Cel przedmiotuC-2Shaping the ability to choose a particular analysis method depending on the conditions
Treści programoweT-A-1Basic principles of analysis and planning. Analysis of decision-making under uncertainty and risk.
T-A-2Decision making under uncertainty
T-A-3Decision making under risk
T-A-6Network Programming - problem solving CPM methods.
T-A-11Inventory models
T-A-9Queuing systems
T-A-7PERT methods
T-A-8Time and cost analysis
T-A-4Two-person zero-sum games
T-A-10Colloquium 2
T-A-5Colloquium 1
Metody nauczaniaM-4Practical method / Auditory exercises
M-3Activation method / Case method
Sposób ocenyS-2Ocena podsumowująca: Colloquiums from practice: tasks to be solved
S-3Ocena formująca: Rating activity participation in student activities, involving the preparation of a topic discussed in class
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student is able to make an economic decision using the appropriate method to a sufficient degree
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_C16/5.2_K01Student is ready to make economic decisions
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_K03He / she is ready to think and act in an entrepreneurial way
Cel przedmiotuC-1Familiarize students with the methods of supporting decision-making processes
C-2Shaping the ability to choose a particular analysis method depending on the conditions
Treści programoweT-W-4Analytical models of queuing systems
T-W-1Analysis of decision-making under uncertainty and risk
T-W-3Solving problems with the use of network programming
T-W-5Analysis of inventory problems
T-A-1Basic principles of analysis and planning. Analysis of decision-making under uncertainty and risk.
T-A-2Decision making under uncertainty
T-A-3Decision making under risk
T-A-6Network Programming - problem solving CPM methods.
T-A-11Inventory models
T-A-9Queuing systems
T-A-7PERT methods
T-A-8Time and cost analysis
T-A-4Two-person zero-sum games
T-A-10Colloquium 2
T-W-2Personal games
Metody nauczaniaM-1Method of giving / Information lecture
M-2Problem method/Problem lecture
M-4Practical method / Auditory exercises
M-3Activation method / Case method
Sposób ocenyS-1Ocena podsumowująca: Written exam from lectures in the form of test
S-2Ocena podsumowująca: Colloquiums from practice: tasks to be solved
S-3Ocena formująca: Rating activity participation in student activities, involving the preparation of a topic discussed in class
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student is ready to make economic decisions to a sufficient degree
3,5
4,0
4,5
5,0