The laboratory members are also involved in several courses at the three affiliated institutions, where they are largely responsible for organizing teaching programs.
The "Mathematics and Computer Science in Complex and Distributed Systems" specialization offered by the University of Havre Normandy trains professionals in design, modeling and system analysis in interaction with their environment.
The program also includes implementation of mathematics and computer science tools designed to functioning and evolution monitoring.
Data science is a scientific discipline which appeared in the last ten years and which is expected to trigger a major societal change, impacting a wide range of industries, including robotics, digital humanities, logistics, home robotics, e-commerce, finance and healthcare.
The transformation is based on the growth of capture mechanisms, the ubiquity of connected objects and the internet of things (iot), which enable the acquisition of massive data (big data).
These ever-increasing quantities of data represent an asset to be explored, selected, screened and interpreted in order to provide knowledge.
This ability to retrieve knowledge from data may be a vector of innovation and value in the very short run, as well as in the long term.
In this context, the data science curriculum of the data science and engineering master's degree aims to train engineers and researchers in data science in a range of industries such as software publishing, internet and e-commerce, civil services, automotive, high-tech, finance, or biomedical. EN
The Master's degree in Computer Science at the University of Havre Normandy trains high-skilled executives, engineers and researchers equipped with a thorough IT background.
The acquired skills include Web, the Internet of Things, safety, mobile programming and big data.
New graduates can operate in high-tech industries; they can also provide their expertise to SMEs and VSEs.
The training offers a contextual and global approach to issues and systems, taking into account, in particular, uncertainty inherent to concrete environments. Thus, students are trained to address issues, which may be partially identified, in a broad range of fields in which computer science and digital technologies have a significant impact.
The Master’s degree in Computer Science Engineering curriculum provides training in and through research in theoretical computer science.
The curriculum covers both theoretical computer science and its applications.
The training offers balance between these two aspects, including research theory and one or more of its specific applications: automata and reliability, systems and computing, bioinformatics, cryptography, in all core courses.
The Master's degree in Bioinformatics is provided in the context of a shift in life sciences experimentation towards broadband technologies.
Massive data processing in biology generates an unprecedented increase in bioinformatics and biomathematical needs both in France and worldwide.
Big data challenges arise in all biology fields: genomic medicine and molecular diagnosis, specialized medicine (genetic and infectious diseases, immunopathology, cancer, neuropathology, nutritional and cardiovascular pathologies, etc.).
The challenge also includes animal, plant and bacterial genomics and food biotechnologies (variety improvement and industrial bioprocesses), environmental genomics and biodiversity issues (ecosystem conservation, marine and land resources, air pollution remediation and alternative bioenergy).
At the interface of software and hardware aspects, the Mobile and Embedded Intelligent Systems (SIME) track of the Master's in Data Science and Engineering (SID) aims to train engineers capable of leading projects that integrate the most advanced technologies in terms of networking, mobile devices, real-time embedded computing, and artificial intelligence.
In the era of smartphones, connected smart objects, and the Internet of Things, there are numerous sectors involved.
These include mobile health, education, the silver economy, security, as well as control, communication, aerospace, naval, robotics, transportation, energy, cloud computing, nuclear, military, etc.
The computing systems safety curriculum aims to train highly skilled engineers in IT safety. The training covers both algorithms implemented in cryptology and procedures used to ensure data confidentiality and authentication, as well as user identification in computing system or in communication network.
The aim of the Master’s degree in Software Computing Science Engineering is to provide students with the relevant academic and professional tools enabling them to address, in an efficient way, the ever-increasing needs of complex software solutions.
The aim of the Master’s degree in Software Computing Science Engineering is to provide students with the relevant academic and professional tools enabling them to address, in an efficient way, the ever-increasing needs of complex software solutions.