Signal and Image Processing (CORO SIP)
Master
En Nantes (Francia)
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Tipología
Master
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Lugar
Nantes (Francia)
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Duración
2 Años
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Inicio
Fechas a elegir
The school Ecole Centrale de Nantes offers its new course in Signal and Image Processing (CORO SIP), which you can find on Emagister.com.
The signal and image processing consists of the theory and practice of algorithms and hardware that convert signals produced by artificial or natural means into a form useful for a specific purpose. It is used in several fields such as biomedical engineering, imaging science, audio processing and information technology.
Thanks to this course you will learn a lot of subjects such as digital signal, signal processing, classic linear control, artificial intelligence, integrated electronics.
The job positions that you can get are a lot and you could work as a Data analyst, Research scientist, Design engineer, Process engineer, Technical project supervisor.
If you are interested in this course and you need further information about it, do not hesitate to contact Emagister. We are happy to help you through this process.
Información importante
Documentos
- MASTER CORO-SIP_web2019.pdf
Instalaciones y fechas
Ubicación
Inicio
Inicio
A tener en cuenta
The main objectives are: to establish a relevant statistical model for data representation and analysis, to propose a methodological solution and its numerical implementation suited to the application context and to acquire a solid background on real-life applications of signal and image processing in research and innovation
Students must have: a bachelor's degree in Engineering, Science or Technology, or a 'license' qualification or equivalent. Applicants must have a good level in Mathematics and be fluent in English - written and spoken. An applicant whose native language is not English is required to pass a recognised international test of English (TEOFL, IELTS, TOEIC or Cambridge Advanced English Test). Applicants who carried out their studies in English may provide an official letter from their university stating that the language of instruction was English in place of one of the approved English tests.
This program provides good prospects for employment or further study. Former students have worked in the following feilds and sectors: biomedical engineering, industrial imaging, audio engineering, computer science, Applied mathematics, research and innovation, health, communication, technology, transportation. Some positions that alumni have held: data analyst, research scientist, process engineer, design engineer, research and innovation engineer (post PhD)
Opiniones
Materias
- Project
- English
- Computing
- Image
- Data Analysis
- Information
- Machine learning
- Computation
- Computational
- Systems
- Biomedical
- Imaging
- Signal filter
- Embedded computing
- Digital signal
- Signal processing
- Classical Linear Control
- Artificial Intelligence
- Embedded electronics
Profesores
Equipo Docente
Profesorado
Temario
30 ECTS Credits per semester.
Autumn Semester Courses
- Signal Processing
- Classical Linear Control
- Artificial Intelligence
- Embedded Electronics
- Systems Identification and Signal Filtering
- Embedded Computing
- Modern Languages *
- Group Project
- Optimization Techniques
- Mobile Robots
- Programming Real Time Systems
- Computer Vision
- Spectral and Time Frequency Analysis
- Modern Languages *
* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
NB Course content may be subject to minor changes
Course Content - M2
30 ECTS Credits per semester
Autumn Semester Courses
- Statistical signal processing and estimation theory
- Digital signal and image representations
- Machine learning, data analysis and information retrieval
- Signal and image restoration, inversion methods
- Mathematical tools for signal and image processing
- Biomedical signals, images and methods
- Modern Languages *
- Project
- Conferences
* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
Spring Semester
Master Thesis/Internship
Examples of previous internships in Medicine:
- Analysis of Electromyographic signals for neuromuscular disease characterization
- Reconstruction of Positron Emission Tomography images in the context of low statistics
- Resolution enhancement in Magnetic Resonance Imaging for cardiovascular diagnosis
Examples of previous internships in industry:
- Optimization of a tyre pressure monitoring system in an automotive vehicle
- Fast imaging algorithm for structured illumination microscopy
Examples of previous internships in research labs:
- Numerical optimization for sparse ultrasound signal recovery
- Analysis and classification of environmental sounds using deep learning methods
NB Course content may be subject to minor changes
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Signal and Image Processing (CORO SIP)