Business Analytics 2
Monte Carlo simulation, decision trees, value of information, expected utility theory, risk attitudes, stochastic dominance, risk measures, multi-attribute utility/value theory, modelling uncertainties and multiple objectives in optimization problems.
Schedule:
–
Teaching time:
Daytime
Location:
Espoo
Topic:
Leadership and strategy
Form of learning:
On-campus
Provider:
Aalto University Open University
Level:
Advanced
Credits:
6 By Aalto University (ECTS)
Fee:
€ 90.00
Course description
Management Science deals with the use of analytical models to help make better business decisions. This course focuses on models for supporting decision making under uncertainty, risk and multiple objectives. After the course the student can (i) recognize the types of real-life business problems where use of the models brings added value, (ii) interpret results of these models to derive defensible decision recommendations, and (iii) build and solve these models using a computer to support business decision making.
