Description:

System approach and decision making, Decision models, Games theory, Decision making under uncertainty and risk, Decisions with multiple objectives, Stochastic programming, Expert systems, Cluster analysis

Contents:

1. Overview, system approach
2. Decision making - definitions, classification, scales
3. Theory of games - methods of solution, typical applications
4. Decision making under risk and uncertainty - methods, applications
5. Decision making under uncertainty - methods, applications
6. Multiobjective optimization - introduction, criteria weights
7. Discrete multiobjective tasks - basic methods, applications
8. Discrete multiobjective tasks - advanced methods
9. Multiobjective vector tasks - basic methods, applications
10. Multiobjective vector tasks - advanced methods
11. Stochastic programming - active and passive methods
12. Expert methods - methods, organization
13. Expert methods - evaluation
14. Manager's role in decision

Seminar contents:

1. Linear programming - overview
2. Decision making - typical tasks
3. Matrix games, methods of solution
4. Decision under risk and uncertainty, typical tasks, solution
5. Multiobjective optimization - typical tasks
6. Discrete multiobjective tasks - methods of solution
7. Goals definition and criteria
8. Multiobjective vector tasks - methods of solution
9. Case - multiobjective decision (team work)
10. Stochastic programming - methods of solution
11. Test
12. Expert methods - criteria weights
13. Expert methods - case (team work)
14. Software support for decision making

Recommended literature:

1.Ragsdale J.: Managerial Decision Modeling. Thomson 2006
2.Dennis, L.T., Dennis, B.L. Management Science. St. Paul: West Publishing company 1991
3.Slak N., Cooke S.: Making Management Decisions: Prentice Hall 1991
4.Lapin L. L.: Quantitative Methods for Business Decisions. The Diden Press 1994
5. Wisniewski, M.: Quantitative Methods for Decision Makers, London: Pitman Publishing 1994

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar