SylabUZ
Nazwa przedmiotu | Decision Analysis and Decision Theory |
Kod przedmiotu | 11.1-WK-CSEED-DADT-S22 |
Wydział | Wydział Matematyki, Informatyki i Ekonometrii |
Kierunek | Computer science and econometrics |
Profil | ogólnoakademicki |
Rodzaj studiów | drugiego stopnia z tyt. magistra |
Semestr rozpoczęcia | semestr zimowy 2022/2023 |
Semestr | 4 |
Liczba punktów ECTS do zdobycia | 7 |
Typ przedmiotu | obieralny |
Język nauczania | angielski |
Sylabus opracował |
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Forma zajęć | Liczba godzin w semestrze (stacjonarne) | Liczba godzin w tygodniu (stacjonarne) | Liczba godzin w semestrze (niestacjonarne) | Liczba godzin w tygodniu (niestacjonarne) | Forma zaliczenia |
Wykład | 30 | 2 | - | - | Egzamin |
Ćwiczenia | 15 | 1 | - | - | Zaliczenie na ocenę |
Projekt | 15 | 1 | - | - | Zaliczenie na ocenę |
Introduction of the student to the selected methods, models and applications of decision analysis and decision theory.
Knowing of Basic Linear Algebra, Discrete Mathematics (Graph Theory), Probability Theory. Knowing of basic models of Operations Research.
Lecture/classes/project
1. General problematics of decision making. Elements of decision situation. Multiple criteria and uncertainty in decision making. Preferences. Mathematical models of
decision situations. Decision support and decision support systems.
2. Multicriteria programming. Methods and examples of applications.
3. Multicriteria decision analysis in the discrete case (finite set of alternatives). Methods, decision rules and examples of applications.
4. Decision making under uncertainty and risk. Multi-stage decision processes. Decision trees.
5. Network methods in the project management. Optimization models. PERT method. CPM-COST method. The problem of resource allocation among activities.
6. Preference models. Preference relations and utility functions. Properties of preference relations. Complete preorders, linear orders and interval orders. Representations of
preference relations by utility function. Valued relations as preference models.
7. Multiple-criteria and group preferences. Pareto optimum. Group and social choice. Methods and rules of social choice. Condorcet paradox and Arrow’s theorem.
8. Voting as a method of group decision making. Methods of voting and election systems. Methods of apportionment.
9. Fair division. Methods and formal approaches.
10. Matching and recruitment systems. Gale-Shapley model.
Traditional lecture. Blackboard exercises consisting in individual, supported by the teacher, solving exercises, group discussions on the methods of solving exercises, individual consultations, realization of individual project.
Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
The final grade from the subject takes into account grade from the classes (30%), grade from the project (30%) and grade from the exam (40%) under the assumption that the student has achieved all assumed educational outcomes at a sufficient degree.
1.J. Curwin, R. Slater, Quantitative Methods for Business Decisions, Cengage Learning EMEA, 1991
2. B. Roy, Multicriteria Methodology for Decision Aiding, Springer 1996
Zmodyfikowane przez dr hab. Zbigniew Świtalski, prof. UZ (ostatnia modyfikacja: 05-02-2024 20:39)