The primary educational objective of the laboratory is students' learning and practice of the main
tools for Data Driven Decision Making, that is the use of computer tools to analyze data and
formalize optimization or decision models and produce decisions that create value.

Knowledge and ability to understand
After attending the laboratory, students will be able to use decision support methods (like,
the Analytical Hierchical Process), optimization solvers (like CPLEX or Gurobi) and computer
algorithms for modelling multicriteria decision and optimization problems.

Ability to apply knowledge and understanding
The models are formalized in the realm of problems. The most appropriate quantitative
method, experimenting with the effectiveness of the problem.

Autonomy of judgment
Students develop critical skills through the application of modeling, analysis and
optimization to a broad set of decision problems. They also develop the critical sense
through the comparison between alternative solutions to the same problem using
methods of analysis and realistic scenarios different from each other. They learn to
critically interpret the results obtained by applying the procedures to real data sets.

Communication skills
Students, through the study and the carrying out of the practical exercises, acquire the
technical-scientific language of the course, which should be used in the tests.
Communication skills are also developed through group activities.

Learning ability
Students who pass the exam have acquired the main methods of analysis and optimization
of decision problems that allow them to face decision-making and quantitative
management in competitive nowadays enterprises.