Basics in probability, statistics, and mathematics
Decisions in an organization are taken on data that are
getting more and more abundant and whose formats are
increasingly varied ; these decisions are therefore
becoming more and more complex. Various tools and
methods can facilitate and improve the decision making
process, under risky conditions or not, especially in helping
managers to make the right choices and to propose the
most appropriate actions to support their business. Among
the covered topics are decision trees, simulation
techniques, stochastic modeling, heuristics, and various
multivariate statistical analysis methods such as principal
component analysis or discriminant analysis.
At the end of this course, the student is able to :
* Identify and characterize an existing problem
requiring the processing of data ;
* Define the needs in terms of data and
determine the most suitable tools and methods to apply ;
* Implement the appropriate methods and use
the appropriate tools on real decision problems ;
* Propose an appropriate way to communicate
the results, in order to answer at best to an identified
problem.
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
