The course content focuses onthe use of data analysis and management tools to support administrative decision-making. It covers topics:
a. Discrete probability distributions.
b. Continuous probability distributions.
c. Decision making in a discrete space (through result matrices, utility functions, decision trees).
d. Decision making in a continuous space (impact diagrams, stochastic simulation, risk measures, risk offset).
e. Decision making under strong uncertainty - Robust decisions.
f. Development and use of linear models.
g. Statistical tests.
Exercises are drawn from the market, the economy, and management. Real-world examples of applying the above methods to operational management issues are given.
You can find the course page here.
Professors:
G. Matsopoulos, Professor NTUA