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Artificial intelligence and decision specialization (M2)

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Artificial intelligence and decision specialization (M2)

The "Artificial Intelligence and Decision (IAD)" specialization provides theoretical and practical tuition and covers the main fields of artificial intelligence and decision-making, in particular:

- adaptive agents and decision-making agents
- learning and data mining
- optimization and resolution of problems
- intelligent data bases
- multimedia information processing
- man/machine interaction

 

The IAD specialization works in close cooperation with several grandes écoles (Telecom ParisTechn, ENSTA and ensIIE) and associates them in its tuition. It uses a strong research base, firstly at UPMC with the Computing Laboratory of the Pierre and Marie Curie University (LIP6) of which two of the five research departments (the DAPA: Data and automatic learning and DESIR: Decision, Intelligent Systems and Operational Research departments) are entirely dedicated to the "Artificial Intelligence and Decision" field and ISIR for interactions between "robotics and artificial intelligence"; the IAD specialization also uses other laboratories in partner schools and in particular the Ecole Nationale Supérieure des Télécommunications' Information Processing and Communication Laboratory (LTCI) (Telecom ParisTech), and the Conservatoire National des Arts et Métiers' (CNAM) Computing Research Centre (CEDRIC). Its purpose is to train SICT (Sciences and Information and Communication Technologies), perfecting their knowledge of the concepts, models and tools of artificial intelligence, decision-making and operational research.

Keywords

Computing, artificial intelligence, intelligent data bases, operational research, decision support

Opportunities

the IAD specialization covers highly practical and current issues such as those dealing with:

  • information and decision systems,
  • web data bases,
  • multi-agent systems,
  • data mining and access through content to multimedia documents,
  • interactive television,
  • production engineering,

which ensure professional openings for this specialization. It also tackles more theoretical fields used in cutting-edge research in our laboratories such as:

  • logic modeling
  • decision theory
  • symbolic and numeric learning,
  • adaptive agents,
  • modeling of complex systems,
  • discrete or continuous optimization,
  • operational research.

This pioneering course, taught by recognized experts, assures the training of future specialists, engineering and researchers alike, in a rapidly expanding field.

Well-targeted public

This specialization is for scientific students with good computer science and/or computer science-applied mathematics knowledge. The first year group is mainly made up of students with a bachelor's degree in computer science or mathematics (with credits in programming and algorithms), but other less typical paths are also considered attentively. Second year students are made up in part with students from the first year and in part from student engineers, in particular from the schools associated with our specialization.

The course prerequisites are firstly a general computer science diploma including good skills in algorithmics and programming (e.g. Java or C++) and secondly a good level of basic mathematics (logic, algebra, analysis, probability etc).

 

Coordinates
Coordinates
Person responsible
PERNY Patrice

Administrative coordinator
NARDY Nicole
01 44 27 73 32
master.info.iad@upmc.fr
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24/03/10