Lectures

Tutorial

2

1

After successful completion of the course, students are expected to have:

Knowledge: The main purpose of the course is to produce knowledge and promote creativity and well-documented choices and decision-making.

Skills: The course material will help them deal more effectively with complex issues and sharpen their everyday decision-making skills.

Abilities: evaluate alternatives when goals conflict, make business decisions when faced with significant uncertainty about the future, evaluate the uncertainty associated with a future event, make decisions about seeking new information relevant to making decisions, to be able to obtain better information, to redistribute limited resources for greater efficiency.

The course aims to:

Search, analysis and synthesis of data and information, using the necessary technologies.

Decision making

Autonomous work

Teamwork

Promotion of free, creative and inductive thinking

Course content:

1 Introduction

2. Decisions in multi-objective problems

3. Introduction to the concept of probability in decision theory

4. Making decisions under conditions of uncertainty

5. Decision trees & influence diagrams

6. Application of simulation to decision-making problems

7. Heuristic methods and biases in probability estimation

8. Probability extraction methods

9. Risk and uncertainty management

10. Resource allocation and negotiation problems

11. Scenario planning: an alternative way of dealing with uncertainty

12. Combining scenario planning and decision analysis

13. Alternative ways of making decisions - decision support systems

- Face-to-face lectures

- Face to face - Solving tutorial exercises

Post material for further study and solving exercises on the e-class platform

The evaluation will be conducted in the Greek language in three distinct ways:

Written final exam including:

-Multiple choice questions

- Comparative evaluation of theory elements

-Problem solving

Martin Peterson, An Introduction to Decision Theory, ISBN: 978-1316606209, Cambridge University Press, 2nd edition (April 4, 2017).

G. Parmigiani and L. Inoue, Decision Theory: Principles and Approaches, ISBN: 978-0471496571, Wiley, 1st edition (May 12, 2009).

Mykel J. Kochenderfer, Decision Making Under Uncertainty: Theory and Application, ISBN : 978-0262029254 The MIT Press, Illustrated edition (July 17, 2015).

John Pratt, Howard Raiffa, Robert Schlaifer, Introduction to Statistical Decision Theory, ISBN: 978-0262662062, The MIT Press (January 25, 2008).

Herman Chernoff and Lincoln E. Moses, Elementary Decision Theory, ISBN: 978-0486652184, Dover Publications, Revised edition (January 1, 1986).