ZUT - Krajowe Ramy Kwalifikacji / Rok 2018/2019 / Administracja Centralna Uczelni / Wymiana międzynarodowa (S2) / Sylabus przedmiotu - Practical Methods of Transportation and Logistics Optimisation

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 dydaktyczna	KOD	Semestr	Godziny	ECTS	Waga	Zaliczenie
wykłady	W	1	30	2,5	0,40	zaliczenie
ćwiczenia audytoryjne	A	1	30	3,5	0,60	zaliczenie

Wymagania wstępne

KOD	Wymaganie wstępne
W-1	Linear algebra, differential calculations.

Cele przedmiotu

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

Treści programowe z podziałem na formy zajęć

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

Obciążenie pracą studenta - formy aktywności

KOD	Forma aktywności	Godziny
ćwiczenia audytoryjne
A-A-1	Participation in classes.	30
A-A-2	Preparation of homeworks.	75
		105
wykłady
A-W-1	Participation in classes.	30
A-W-2	Self study.	38
A-W-3	Preparation 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 kształcenia	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób 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 kształcenia	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób 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 kształcenia	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób 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

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

Literatura dodatkowa

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

Treści programowe - ćwiczenia audytoryjne

KOD	Treść programowa	Godziny
T-A-1	Solwing some practical examples of unconstrained and constrained optimisation problems in transport and logistics.	30
		30

Treści programowe - wykłady

KOD	Treść programowa	Godziny
T-W-1	Introduction: what is optimisation problem in transport and logistics?	2
T-W-2	Definition 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-3	General formulation of optimisation problem in transport and logistics.	2
T-W-4	Review and discussion of optimisation problems in transport and logistics.	2
T-W-5	General formulation of optimisation algorithm.	2
T-W-6	Review and discussion of classical optimisation algorithms.	4
T-W-7	Detailed formulation of selected representative optimisation algorithms classified by the extent of information they require (nonderivative methods, gradient methods, Newton-Raphson methods).	6
T-W-8	Constraints in optimisation problems in transport and logistics.	2
T-W-9	Optimisation methods of constrained problems (Kuhn-Tucker conditions, Lagrange multipliers method, penalty function methods).	6
T-W-10	Evaluation of knowledge.	2
		30

Formy aktywności - ćwiczenia audytoryjne

KOD	Forma aktywności	Godziny
A-A-1	Participation in classes.	30
A-A-2	Preparation of homeworks.	75
		105

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KOD	Forma aktywności	Godziny
A-W-1	Participation in classes.	30
A-W-2	Self study.	38
A-W-3	Preparation to knowledge evaluation.	6
		74

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Pole	KOD	Znaczenie kodu
Zamierzone efekty kształcenia	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.

Pole	KOD	Znaczenie kodu
Zamierzone efekty kształcenia	WM-WTMiT_2-_??_U01	The ability to use the acquired knowledge to solve practical problems.

Pole	KOD	Znaczenie kodu
Zamierzone efekty kształcenia	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.