Data

Observatoire Marocain de la TPMESujet : Cas d’étude : Traitement des bases de données et production des indicateursRéalisé par :Mlle. Khaoula Etudiante en 3 -ème année cycle d'ingénieur Encadré par :Mlle. Salma Data Scientist à l’OMTPME Année Universitaire2020/2021Table des matières Liste des figures 5 Liste des tableaux 5 Liste des graphiques 5 Liste des abréviations 6 Remerciements 7 Introduction 8 Chapitre I : Présentation générale de l'OMTPME 10 I

Registration of students on specific modules within those courses. • Tracking of students’ academic progress [measured by marks achieved on assessments] for each module taken. • Calculation of Final Degree Award. • Provision of a body of data that may be used to provide insight into the following questions: o Do some courses consistently produce better results than others? o Do some modules consistently produce better results than others? o Are there significant

HR Functions, the case study of la La Caisse National de Securité Social (C.N.S.S.) will be analyzed in order to learn more about the problem under study. Both focus groups and interviews will be conducted to collect valid data in order to verify the research question. The data analysis will reveal that the HR practices have been changed to better since the emergence of e-HR. This can be demonstrated by the quality of services within HR department provided of CNSS since it improved its performance

...............11 4.3.2. Sorting Opaque Objects by Render State..............................................................11 4.3.3. Sorting Transparent Objects by Depth...................................................................11 Vertex data.................................................................................................................................12 5.1.1. Primitive Type...............................................................................................

tomography is a recognized tool in the diagnosis of Parkinsonian syndromes. In practice, data interpretation relies on visual and semiquantitative analyses. Good interobserver reproducibility is a prerequisite before claiming the robustness of a technique. This study aimed at evaluating interobserver reproducibility of this approach. Methods Thirty nuclear medicine physicians participated in the study. Data included FP-CIT images and semiquantitative measurements of 12 cases, covering a wide spectrum

Berson et al. (2000), Lejeune (2001), Ahmed (2004) et Berry et Linoff (2004) fournissent également une définition similaire au sujet du data mining (exploration de données) comme étant le processus d'extraction ou de détection de motifs cachés ou de l'information des bases de données importantes. Avec les données complètes du client, la technologie du data mining peut fournir des renseignements commerciaux pour générer de nouvelles opportunités (Bortiz & Kennedy, 1995; Fletcher & Goss, 1993;

Université Hassan II -Mohammedia Faculté des Sciences Ben M’Sik CASABLANCA Rapport de stage Mai 2011 [pic] Sécurité Physique et Data Center De la SOMACA Préparé par : Encadré par : Wahiba KHARTI Mr. Yassine SNAOUI Société : SOMACA REMERCIEMENTS Je tiens tout particulièrement à remercier Monsieur Yassine SNAOUI, mon maître de stage, pour tout ce qu’il m’a appris, pour sa bonne

UNIVERSITÉ ABDELMALEK ESSAADI ÉCOLE NATIONALE DES SCIENCES APPLIQUÉES DE TÉTOUANModule : Exploration et Analyse des données Pr. Mohammed Rida ECH-CHARRAT SCM2-2022 UNIVERSITÉ ABDELMALEK ESSAADI ÉCOLE NATIONALE DES SCIENCES APPLIQUÉES DE TÉTOUAN Chapitre 1 : Data Warehouse & Business intelligence EXPLORATION ET ANALYSE DES DONNÉESPROBLÉMATIQUE Décider des actions à conduire. • Contrôler l’exécution des travaux • Analyser l’environnement • Contrôler le système opérant Collecter, mémoriser, traiter, distribuer

school administrators can motivate children to make more healthful food choices using incentives, pledges, and competitions as interventions. A six-month field study was conducted across 55 elementary and middle schools, and the authors analyzed the data using a two-level Bayesian hierarchical linear model. All three interventions increased the choice of fruits and vegetables (the proportion of children choosing additional servings increased 3 to 24 percentage points) ten weeks after the interventions

the reason of the use of the data collection research then the disadvantages of using the chosen method will be discuss. For this research, secondary data is gathered. Primary data, which would have given a better result, was impossible to conduct. Secondary data is information that has already been collected through either quantitative or qualitative studies by another organization, a company or a government agency. Qualitative secondary data is also available through a