Elective major - E-health

E-Health relates to the application, to medicine, of information and communication technologies for the provision of remote healthcare and the exchange of medical information (e.g. imaging networks, telediagnosis, computer-assisted remote surgery, etc.).

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Campus : Dijon
Prerequisites: Instrumentation, Signal and Data stream

Objective

To train general engineers with a focus on electronics and IT, specialising in the acquisition and processing of data in the e-health sectors, and capable of :
- understand the entire data chain ;
- be familiar with the different standards for deploying medical devices, and understand the operating principle of robotic surgery and medical home automation systems;
- work with healthcare professionals.

Common Core

ESEO Dijon offers a core curriculum common to the 3 options on the Dijon campus: E-Health, Industry 4.0 and Smart City.

This theoretical and technical core covers the following areas: artificial intelligence, HMI, networks, data analysis, sensors, connected objects, cyber security, signals, images, databases, and many others.

Teaching units

Semester 8

English: 2 ECTS – 24h
Cross-disciplinary skills: 2 ECTS – 28h
- QHSE, Green IT, Excel
Connected Instrumentation Project: 4 ECTS – 56h
- Instrumentation, IoT
Data Sciences and Artificial Intelligence: 4 ECTS – 56h
- Statistics for Data Science, Supervised and Unsupervised Classification, Deep Learning
Computer Vision: 2 ECTS – 28h
Big Data: 2 ECTS – 28h
Project: 14 ECTS – 219h

Semester 9

SI & ID: 3 ECTS – 42h
- Information Systems, Distributed Infrastructures
Flow optimisation: 2 ECTS – 28h
- Optimisation, Genetic algorithms
Virtual, augmented and mixed reality: 2 ECTS – 28h
- Introduction to Unity, AR/VR Project
Healthcare ecosystem: 3 ECTS – 48h
- Hospital Information System, Patient Health Pathway, Introduction to Medicine
AI Applications in Healthcare: 4 ECTS – 56h
- Supporting innovation in healthcare, Standards and health data, Regulation of medical devices
Final year projects: 14 ECTS – 168h
- Advanced artificial intelligence, Big Data