CES7AH - CES9AE Statistical data processing
| ECTS Credits : 4 Duration : 36 hours | Semester : S7 | ||
Person(s) in charge : Olivier DECK, Professeur, olivier.deck@mines-nancy.univ-lorraine.fr, Judith Sausse, Professeur, judith.sausse@mines-nancy.univ-lorraine.frThierry VERDEL, Professeur, thierry.verdel@mines-nancy.univ-lorraine.fr | ||||
Keywords : Exploring and visualising data - statistical analysis - modeling and predicating | ||||
Prerequisites : First year statistics course or equivalent | ||||
Goal : Model and simulate real systems | ||||
Program and contents : In the 70s and 80s, the development of computer technology enabled information storage which, in its most classical form, resembled tables of data, usually of great size. In many fields (geology, meteorology, medicine, economy, marketing, quality control, form recognition etc), through data analysis we were able to extract some of this information and digest it, principally to aid the decision process, or more generally to comprehend in some way the nature of phenomenon pertaining to the data
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Abilities : | ||||
Level | Description and operational vocabulary | |||
Know | the The main methods we will see are : The application of these techniques throws up a number of questions for the user, essentially:
JMP and R software will be used systematically throughout this course, both in the lectures and the practical lessons; focusing on real case studies in various sectors. | |||
Understand | ||||
Apply | ||||
Analyse | ||||
Summarise | ||||
Assess | ||||
Evaluation : | ||||
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Cet espace sera supprimé le 31 janvier 2024 - Pour toutes questions, vous pouvez nous contacter sur la liste wikidocs-contact@univ-lorraine.fr
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