Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Intelligent Decision Systems:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Intelligent Decision Systems
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Metod Sztucznej Inteligencji i Matematyki Stosowanej
Nauczyciel odpowiedzialny Wojciech Sałabun <wsalabun@wi.zut.edu.pl>
Inni nauczyciele Andrzej Piegat <Andrzej.Piegat@zut.edu.pl>
ECTS (planowane) 6,0 ECTS (formy) 6,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 30 3,60,60zaliczenie
laboratoriaL1 30 2,40,40zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1None

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To provide the knowledge about multi-criteria decision-making methods which are used to solving decision problems
C-2To equip the students with the ability of solving decision problems by using MCDM methods

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Intro to solving decision problems by using WSM and WPM methods2
T-L-2Intro to solving decision problems by using TOPSIS methods4
T-L-3Intro to solving decision problems by using AHP methods5
T-L-4Intro to solving decision problems by using ELECTRE methods4
T-L-5Intro to solving decision problems by using ANP methods4
T-L-6Intro to solving decision problems by using Fuzzy Logic10
T-L-7Exam1
30
wykłady
T-W-1Description of decision making problems (structure, elements etc.)3
T-W-2Review of the MCDM methods (achievements and main directions of researches)3
T-W-3The WSM and WPM methods (examples, application, benefits, defects, etc.)2
T-W-4The AHP and ANP methods (examples, application, benefits, defects, etc.)6
T-W-5The ELECTRE methods (examples, application, benefits, defects, etc.)4
T-W-6The TOPSIS methods (examples, application, benefits, defects, etc.)4
T-W-7The Fuzzy methods in decision-making (examples, application, benefits, defects, etc.)7
T-W-8Exam1
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1The attendance in the labolatories30
A-L-2The individual work of a student42
72
wykłady
A-W-1The attendance in the lectures30
A-W-2The individual work of a student78
108

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Informative lectures
M-2Discussion
M-3Laboratories with computers

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: The discussion summing up the knowledge gained during the lectures
S-2Ocena podsumowująca: Written exam

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-WI_2-_null_W01
After the lectures the student will be able to define a MCDM problem, describe main MCDM methods, and choose the method suitable for a decision problem
C-2, C-1T-W-1, T-W-7, T-W-6, T-W-5, T-W-3, T-W-2, T-W-4M-2, M-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-WI_2-_null_U01
The student will be able to choose MCDM method for a problem.
C-2T-L-4, T-L-5, T-L-3, T-L-6, T-L-2, T-L-1M-2, M-3S-1
WM-WI_2-_null_U02
The student will be able to solve a multi-criteria problem.
C-2T-L-4, T-L-5, T-L-3, T-L-6, T-L-2, T-L-1M-2, M-3S-1

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WI_2-_null_W01
After the lectures the student will be able to define a MCDM problem, describe main MCDM methods, and choose the method suitable for a decision problem
2,0
3,0The student is able to define the MCDM methods and problems concept
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WI_2-_null_U01
The student will be able to choose MCDM method for a problem.
2,0
3,0The student is able to choose an appropriate MCDM method to a specific decision problem
3,5
4,0
4,5
5,0
WM-WI_2-_null_U02
The student will be able to solve a multi-criteria problem.
2,0
3,0The student is able to solve a specific decision problem
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Scientific papers and materials provided by the lecturer

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Intro to solving decision problems by using WSM and WPM methods2
T-L-2Intro to solving decision problems by using TOPSIS methods4
T-L-3Intro to solving decision problems by using AHP methods5
T-L-4Intro to solving decision problems by using ELECTRE methods4
T-L-5Intro to solving decision problems by using ANP methods4
T-L-6Intro to solving decision problems by using Fuzzy Logic10
T-L-7Exam1
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Description of decision making problems (structure, elements etc.)3
T-W-2Review of the MCDM methods (achievements and main directions of researches)3
T-W-3The WSM and WPM methods (examples, application, benefits, defects, etc.)2
T-W-4The AHP and ANP methods (examples, application, benefits, defects, etc.)6
T-W-5The ELECTRE methods (examples, application, benefits, defects, etc.)4
T-W-6The TOPSIS methods (examples, application, benefits, defects, etc.)4
T-W-7The Fuzzy methods in decision-making (examples, application, benefits, defects, etc.)7
T-W-8Exam1
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1The attendance in the labolatories30
A-L-2The individual work of a student42
72
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1The attendance in the lectures30
A-W-2The individual work of a student78
108
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_W01After the lectures the student will be able to define a MCDM problem, describe main MCDM methods, and choose the method suitable for a decision problem
Cel przedmiotuC-2To equip the students with the ability of solving decision problems by using MCDM methods
C-1To provide the knowledge about multi-criteria decision-making methods which are used to solving decision problems
Treści programoweT-W-1Description of decision making problems (structure, elements etc.)
T-W-7The Fuzzy methods in decision-making (examples, application, benefits, defects, etc.)
T-W-6The TOPSIS methods (examples, application, benefits, defects, etc.)
T-W-5The ELECTRE methods (examples, application, benefits, defects, etc.)
T-W-3The WSM and WPM methods (examples, application, benefits, defects, etc.)
T-W-2Review of the MCDM methods (achievements and main directions of researches)
T-W-4The AHP and ANP methods (examples, application, benefits, defects, etc.)
Metody nauczaniaM-2Discussion
M-1Informative lectures
Sposób ocenyS-2Ocena podsumowująca: Written exam
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to define the MCDM methods and problems concept
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_U01The student will be able to choose MCDM method for a problem.
Cel przedmiotuC-2To equip the students with the ability of solving decision problems by using MCDM methods
Treści programoweT-L-4Intro to solving decision problems by using ELECTRE methods
T-L-5Intro to solving decision problems by using ANP methods
T-L-3Intro to solving decision problems by using AHP methods
T-L-6Intro to solving decision problems by using Fuzzy Logic
T-L-2Intro to solving decision problems by using TOPSIS methods
T-L-1Intro to solving decision problems by using WSM and WPM methods
Metody nauczaniaM-2Discussion
M-3Laboratories with computers
Sposób ocenyS-1Ocena formująca: The discussion summing up the knowledge gained during the lectures
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to choose an appropriate MCDM method to a specific decision problem
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_U02The student will be able to solve a multi-criteria problem.
Cel przedmiotuC-2To equip the students with the ability of solving decision problems by using MCDM methods
Treści programoweT-L-4Intro to solving decision problems by using ELECTRE methods
T-L-5Intro to solving decision problems by using ANP methods
T-L-3Intro to solving decision problems by using AHP methods
T-L-6Intro to solving decision problems by using Fuzzy Logic
T-L-2Intro to solving decision problems by using TOPSIS methods
T-L-1Intro to solving decision problems by using WSM and WPM methods
Metody nauczaniaM-2Discussion
M-3Laboratories with computers
Sposób ocenyS-1Ocena formująca: The discussion summing up the knowledge gained during the lectures
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to solve a specific decision problem
3,5
4,0
4,5
5,0