[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-969000","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Data Integration and Big Data\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          2\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemester:\n          Semestre 1\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ELecture:\u003C\/span\u003E\n                                      \u003Cspan\u003E9\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                              \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003EDirected study:\u003C\/span\u003E\n                                      \u003Cspan\u003E9\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                            \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EProgramming langage\u003Cbr\u003E\nAlgorithmic\u0026nbsp;\u003Cbr\u003E\nDatabases\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003ETutorial course 1\u0026nbsp;: Introduction to Big Data and Cloud Computing\u003C\/p\u003E\n\u003Cp\u003ETutorial course 2: Introduction to NoSQL databases and data integration\u003C\/p\u003E\n\u003Cp\u003ETutorial course 3: Introduction to Map Reduce and Spark\u003C\/p\u003E\n\u003Cp\u003EDirected work course 1: Docker containerization and MangoDB NoQL Database\u003C\/p\u003E\n\u003Cp\u003EDirected work course 2: Hadoop Map Reduce\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003EDirected work course 3: Spark\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EUnderstanding biological processes requires storing, accessing and processing many complex and more and more large scale datasets. These data are usually heterogeneous generated by humans, machines (imaging systems, sequencing systems, etc.) or by programs (simulations tools). In parallel, computer science has made significant progress in developing new methods, models and technologies to storing, integrating and processing big heterogeneous data in the Cloud Computing. It is of the benefit of modern biology to be able to use these concepts and tools to achieve its need in term of integration and processing of large amounts of heterogeneous data, with different formats and semantics, and manipulate them through complex workflows.\u003C\/p\u003E\n\u003Cp\u003EThe objective of this course is to introduce the main concepts of Big Data, Cloud Computing, Containerization as well as Big Data tools such as NoSQL, Hadoop and Spark. Students will learn how these technologies can help engineers and researchers in bioinformatics to use these concepts and tools to conduct their data analytics in data centers and in the cloud computing.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThe UE is organized in a set of tutorial sessions and directed work sessions addressing practical examples of concepts introduced in the tutorials sessions.\u003C\/p\u003E\n\u003Cp\u003EThe used modalities are In-Person (Face-to-Face) with direct interactions. Online Synchronous lectures may be delivered depending on the situation. In this case, instructions are given online in real-time.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EComp\u00e9tences\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 1.1\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003EFormuler des probl\u00e9matiques et des hypoth\u00e8ses de travail permettant la conception et la r\u00e9alisation d\u2019un projet dans son domaine d\u2019expertise et \/ou \u00e0 l\u2019interface de plusieurs domaines en biologie.\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 1.2\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003EConcevoir une d\u00e9marche exp\u00e9rimentale.\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 1.3\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003E\u00c9tablir, r\u00e9aliser et optimiser des protocoles exp\u00e9rimentaux.\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 1.4\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003EProduire et valider des donn\u00e9es scientifiques.\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 2.1\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003EActualiser ses connaissances th\u00e9oriques et technologiques par une veille dans son domaine en relation avec l\u2019\u00e9tat de la recherche\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 2.2\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003ESynth\u00e9tiser et structurer un \u00e9tat de l\u2019art sur une probl\u00e9matique d\u00e9finie, en autonomie, dans un contexte li\u00e9 \u00e0 la recherche scientifique et\/ou recherche \u0026amp; d\u00e9veloppement\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EComp\u00e9tence 2.3\u003C\/strong\u003E\u003Cbr\u003E\n\u003Cstrong\u003ESe former \u00e0 de nouveaux outils technologiques.\u003C\/strong\u003E\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Col\u003E\n\u003Cli\u003ECloud Computing for Science and Engineering, Ian Foster and Dennis B. Gannon, The MIT Press, Cambridge, Massachusetts, London, England \u00a9 2017 Massachusetts Institute of Technology.\u003C\/li\u003E\n\u003Cli\u003ENoSQL Data Models: Trends and Challenge, Olivier Pivert John Wiley \u0026amp; Sons, August 2018\u0026nbsp;\u003C\/li\u003E\n\u003Cli\u003EBig Data and Hadoop, Mayank Bhusan, BPB Publications, June 2018..\u003C\/li\u003E\n\u003Cli\u003EGenomics in the Cloud: Using Docker, GATK, and WDL in Terra (English Edition), Geraldine A. Van der Auwera, Brian D. O\u0027Connor, O\u0027Reilly Media,\u003Cem\u003E\u200e\u003C\/em\u003E April 2020\u003C\/li\u003E\n\u003C\/ol\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]