Formation

The laboratory members are also involved in several courses at the three affiliated institutions, where they are largely responsible for organizing teaching programs.

Master’s degree in Mathematics and IT complex and distributed systems

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. 

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Master’s degree in Data Science Engineering EN

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



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Master’s degree in IT, Web Engineering, Connected Objects and Complex Systems

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.

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Master’s degree in Computer Science Engineering: Theory and Applications

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.

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Master’s degree in Bioinformatics

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).

  • The Master's degree objective is to train engineers in bioinformatics and biostatistics specialized in management, processing and sequencing and massive data analysis in biology, resulting from these new experimental approaches on a very large scale (“omic” technologies).
  • A three-year curriculum: The multidisciplinary expertise of our graduates, at the junction of life sciences, computer science and mathematics, is achieved through a unique, challenging and gradual program. The Master of Science is completed over a two-year work-study program under employment contract (apprenticeship or professional training).

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Master’s degree in Health Engineering, Biomedical Engineering

The biomedical engineering curriculum of the Master's degree in Health Engineering focuses on health data processing and healthcare systems. It aims to train engineers, autonomous and multi-skilled project managers, equipped with competencies in biomedical techniques and healthcare data processing.

The curriculum also includes management and biomedical device maintenance.

Engineers play a key role as a bridge between two different environments: medicine and engineering and technology industries. In order to design appropriate systems to address issues, they are able to combine a comprehensive knowledge of the medicine, the hospital or the research culture with the information processing methodology.

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Master’s degree in Science and Data Engineering, Computer Engineering Mobile and Embedded Systems

The mobile and embedded computing engineering curriculum of the Master in Science and Data Engineering is at the interface between computing science and embedded systems technology.

The course aims to train engineers and researchers in mobile and embedded computing systems, skilled in project management combining software and hardware aspects, while respecting real-time and sustainable requirements.

Today, smartphones, connected objects and the Internet of Things have an increasing impact on a range of industries, including mobile health, silver economy, safety, as well as control, communications, aeronautics, shipbuilding industry, robotics, transportation, energy, cloud computing, nuclear power, defense, etc.

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Master in Computing Systems Safety

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. 

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Master’s degree in Software Computing Science Engineering

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. 

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Master’s degree in Software Computing Science Engineering

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. 

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Medicine Faculty Teaching

The QuantIF Team is involved in the different medicine programs of the faculty of medicine.

P. Véra is in charge of the “UE3” in the first-year of medicine studies (PACES). P. Véra and J.F. Ménard are Head Professors of the "ionizing radiation and imaging" module. 
L. Tiberville is in charge of the respiration module. B. Dubray is in charge of the hematology-cancerology module. S. Ruan and P. Véra are in charge of the medical image processing and analysis module of the Master’s degree in Biomedical Engineering. 
J.F. Menard is in charge of the biostatistics module applied to the medicine module. L. Tiberville is the Faculty Dean and the Director of the Pneumology Teaching Department. 

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