Objectif
Regarding the objectives of this Master, here is the link to consult
https://dataai.jachiet.com/
The master’s program will equip students with the fundamental knowledge, technical skills and concrete applied methodologies for making machines more intelligent. In particular, students will acquire experience in using and developing data-supported smart services and tools for data-driven decision making and will learn how to master technical and scientific challenges in processing large data and knowledge. The students will be taught to solve theoretical problems as well as applied ones, to present their work both in oral presentations and in written reports, to analyze the bibliography and identify open research directions, to work independently as well as in a team, to identify and seek appropriate resources for advancing their work, whether theoretical or applied, and to take initiatives.
domaines d'enseignement
Informatique, Données, Intelligence Artificielle.compétences acquises
Regarding the aims of this Master, here is the link to consult
https://dataai.jachiet.com/
The combination of big data and artificial intelligence in all of its forms is an active field of research. Students will be prepared for research in Robotics, Image processing, Machine Learning, Web technologies, the Social Web, Data Analytics, Big Data Management, Knowledge Base Management, Information Extraction, Information Retrieval, Databases, Data Warehousing, Knowledge Representation, and Distributed Data Management. Students who wish to pursue a PhD afterwards are more than encouraged to do that. The Institut Polytechnique de Paris and the associated research labs (INRIA, CNRS, etc.) offer a great environment for a PhD, and our program is an optimal preparation for this path. The program will also allow students to apply to positions in the industry, mostly in research and development labs.
Parcours
- M1DATAAIM1 Master 1 - Data and Artificial Intelligence
- Crédits libres M1 DATAAI 5 crédits libres à choisir en M1 DATAAI
- LFR_9N041_TP FR-MUTUALISE-S1
- PRJ_5IP91_TP PhD Track Research Project
- TSP-CSC5003-1 Big Data Infrastructures
- TSP-CSC5003-2 Semantic Networks
- APM_4AI04_TP Analyse des signaux de musique et de parole : méthodes et applications
- APM_51053_EP Bases de l'Apprentissage Automatique
- APM_51655_EP Théorie des probabilités et processus stochastiques
- APM_5AI05_TA Apprentissage pour la robotique (ROB311)
- APM_5DS18_TP Optimisation pour Data Science
- BIO_51057_EP Neurosciences
- CSC_4IG01_TP Interactive 3D Application Development
- CSC_4IG02_TP Interaction Application Development: Desktop, Mobile, and Web
- CSC_4IG03_TP Fundamentals of Computer Graphics
- CSC_51051_EP Logique Informatique : de l'Intelligence Artificielle à l'Absence d'erreurs
- CSC_52003_EP Diagrammes et programmes quantiques
- CSC_5AI23_TA Deep learning based computer vision (ROB313)
- HSS_0EL22_TP Droit et régulation du numérique
- HSS_0EL41_TP Making Physical Representation of Data
- LES_0N300_TP Espagnol général niveau B1
- LIT_0N100_TP Italien général niveau A1
- LIT_0N250_TP Italien général niveau A2/B2
- MDC_51005_EP Informatique quantique et applications
- Crédits libres M1 DATAAI 5 crédits libres à choisir en M1 DATAAI
