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Decision Support Systems - opis przedmiotu

Informacje ogólne
Nazwa przedmiotu Decision Support Systems
Kod przedmiotu 06.9-WM-ZiIP-ANG-D-06_20
Wydział Wydział Mechaniczny
Kierunek Management and Production Engineering
Profil ogólnoakademicki
Rodzaj studiów drugiego stopnia z tyt. magistra inżyniera
Semestr rozpoczęcia semestr zimowy 2021/2022
Informacje o przedmiocie
Semestr 1
Liczba punktów ECTS do zdobycia 3
Typ przedmiotu obowiązkowy
Język nauczania angielski
Sylabus opracował
  • prof. dr hab. Taras Nahirnyy
Formy zajęć
Forma zajęć Liczba godzin w semestrze (stacjonarne) Liczba godzin w tygodniu (stacjonarne) Liczba godzin w semestrze (niestacjonarne) Liczba godzin w tygodniu (niestacjonarne) Forma zaliczenia
Projekt 15 1 - - Zaliczenie na ocenę
Wykład 15 1 - - Zaliczenie na ocenę

Cel przedmiotu

Acquisition of skills and competences in decision support system (DSS) and methods used in decision process analysis which are useful in further educational process and vocational work. Also knowledge and skills of chosen tools and technique used in decision support systems will be given.

Wymagania wstępne

Basic of computer science, probability, statistic

Zakres tematyczny

Content lecture. Introduction to the theory of decision-making. Confidence, risk, uncertainty. Mathematical modeling and decisions, operations research models and econometric statistical decision theory, decision analysis, decision trees. The theory of reliability and usability and decision-making. The decisions in terms of inaccuracy. Game theory and the decisions, game double zero-sum and non-zero; importance of information, cooperative games; negotiations; distribution of payments in the coalition; balance, optimal strategies. Examples of applications in business practice. Decision Support Systems and Information Systems Management, Principles of creation and utilization systems.

Project. Development of the project in the field of production engineering issues, taking into account the theoretical basis and principles of the work program concerning:

- selection of probe items,

- forecasting and linear regression,

- allocation of resources and balancing production lines,

- serial work,

- linear programming, integer and 0-1,

- dynamic programming,

- stock management,


- modelling network,

- systems queuing,

- simulation of queuing systems

- economy materials

- quality control charts.

Metody kształcenia

Conventional lecture.

Project – individual work, group work with DSS systems, based on literature and the lecture notes

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu Symbole efektów Metody weryfikacji Forma zajęć

Warunki zaliczenia

Lecture: graded credit

The assessment is issued based on a written test covering the verification of the knowledge of basic problems.

Project: graded credit

The assessment is determined on the basis of the component evaluating skills related to the implementation of project tasks, the prepared report and a component for the student's "defence" of the report.

Literatura podstawowa

  1. Taylor, James (2012). Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics. Boston MA: Pearson Education.
  2. Power, D. J. (2002). Decision support systems: concepts and resources for managers. Westport, Conn., Quorum Books.

Literatura uzupełniająca

  1. Borges, J.G, Nordström, E.-M. Garcia Gonzalo, J. Hujala, T. Trasobares, A. (eds). (2014). " Computer-based tools for supporting forest management. The experience and the expertise world-wide. Dept of Forest Resource Management, Swedish University of Agricultural Sciences. Umeå. Sweden.
  2. Delic, K.A., Douillet,L. and Dayal, U. (2001) "Towards an architecture for real-time decision support systems:challenges and solutions.


Zmodyfikowane przez prof. dr hab. Taras Nahirnyy (ostatnia modyfikacja: 04-05-2021 17:01)