Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Practical Methods of Transportation and Logistics Optimisation:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Practical Methods of Transportation and Logistics Optimisation
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Konstrukcji, Mechaniki i Technologii Okrętów
Nauczyciel odpowiedzialny Zbigniew Sekulski <Zbigniew.Sekulski@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 6,0 ECTS (formy) 6,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW2 30 2,50,40zaliczenie
ćwiczenia audytoryjneA2 30 3,50,60zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Linear algebra, differential calculations.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To learn basic concepts of continuous and discrete optimisation methods in transport and logistics.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Solwing some practical examples of unconstrained and constrained optimisation problems in transport and logistics.30
30
wykłady
T-W-1Introduction: what is optimisation problem in transport and logistics?2
T-W-2Definition of mathematical formulation of continuous optimisation (necessary and sufficient conditions of local optimality, concept of matrix positive definition, convex and concave functions).2
T-W-3General formulation of optimisation problem in transport and logistics.2
T-W-4Review and discussion of optimisation problems in transport and logistics.2
T-W-5General formulation of optimisation algorithm.2
T-W-6Review and discussion of classical optimisation algorithms.4
T-W-7Detailed formulation of selected representative optimisation algorithms classified by the extent of information they require (nonderivative methods, gradient methods, Newton-Raphson methods).6
T-W-8Constraints in optimisation problems in transport and logistics.2
T-W-9Optimisation methods of constrained problems (Kuhn-Tucker conditions, Lagrange multipliers method, penalty function methods).6
T-W-10Evaluation of knowledge.2
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Participation in classes.30
A-A-2Preparation of homeworks.75
105
wykłady
A-W-1Participation in classes.30
A-W-2Self study.38
A-W-3Preparation to knowledge evaluation.6
74

Metody nauczania / narzędzia dydaktyczne

dla tego przedmiotu nie są określone metody nauczania ani narzędzia dydaktyczne

Sposoby oceny

dla tego przedmiotu nie są określone sposoby oceny

Zamierzone efekty kształcenia - wiedza

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_??_W01
On successful completion of this course, students will be able to: (1) formulate a wide range of management problems in transportation and logistics that can be solved to optimality by classical continuous as well as combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions; (2) awareness how difficult some practical optimization problems in transportation and logistics can be and the complex role performed by managers; (3) understanding the construction and main solution ideas for nonlinear optimization problems in transportation and logistics; (4) assess the quality of available methods and solutions for such problems, as well as to potentially develop such optimization techniques and implementations; (5) formulate optimization problems in transportation and logistics in the presence of uncertainty; (6) knowledge of techniques that can be used to solve such problems; (7) effectively communicate the results of the cost-benefit analysis and optimization to the relevant parties.

Zamierzone efekty kształcenia - umiejętności

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_??_U01
The ability to use the acquired knowledge to solve practical problems.

Zamierzone efekty kształcenia - inne kompetencje społeczne i personalne

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_??_K01
Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.

Literatura podstawowa

  1. Dennis, J.E., Schnabel, R.B., Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Society for Industrial and Applied Mathematics, Philadelphia, 1996
  2. Gill, P.E., Murray, W., Wright, M.H., Practical Optimization, Academic Press, London, 1986

Literatura dodatkowa

  1. Nocedal, J., Wright, S.J., Numerical Optimization, Springer, New York, 1999

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Solwing some practical examples of unconstrained and constrained optimisation problems in transport and logistics.30
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction: what is optimisation problem in transport and logistics?2
T-W-2Definition of mathematical formulation of continuous optimisation (necessary and sufficient conditions of local optimality, concept of matrix positive definition, convex and concave functions).2
T-W-3General formulation of optimisation problem in transport and logistics.2
T-W-4Review and discussion of optimisation problems in transport and logistics.2
T-W-5General formulation of optimisation algorithm.2
T-W-6Review and discussion of classical optimisation algorithms.4
T-W-7Detailed formulation of selected representative optimisation algorithms classified by the extent of information they require (nonderivative methods, gradient methods, Newton-Raphson methods).6
T-W-8Constraints in optimisation problems in transport and logistics.2
T-W-9Optimisation methods of constrained problems (Kuhn-Tucker conditions, Lagrange multipliers method, penalty function methods).6
T-W-10Evaluation of knowledge.2
30

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Participation in classes.30
A-A-2Preparation of homeworks.75
105
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes.30
A-W-2Self study.38
A-W-3Preparation to knowledge evaluation.6
74
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTMiT_2-_??_W01On successful completion of this course, students will be able to: (1) formulate a wide range of management problems in transportation and logistics that can be solved to optimality by classical continuous as well as combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions; (2) awareness how difficult some practical optimization problems in transportation and logistics can be and the complex role performed by managers; (3) understanding the construction and main solution ideas for nonlinear optimization problems in transportation and logistics; (4) assess the quality of available methods and solutions for such problems, as well as to potentially develop such optimization techniques and implementations; (5) formulate optimization problems in transportation and logistics in the presence of uncertainty; (6) knowledge of techniques that can be used to solve such problems; (7) effectively communicate the results of the cost-benefit analysis and optimization to the relevant parties.
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTMiT_2-_??_U01The ability to use the acquired knowledge to solve practical problems.
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTMiT_2-_??_K01Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.