Master 1
The Master 1 is organised over two semesters (one academic year). The first semester requires 30 ECTS (European Credits Transfer System). It starts around the end of September and ends at the beginning of February. On the other hand, the second semester (30 ECTS) starts in February until the end of June. Essentially, the purpose of these two semesters is to provide to students:
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Fundamentals of applied data processing (signal and image processing),
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Fundamentals of computer vision development in Python.
In parallel to class sessions, students will be working on projects.
Admission requirements
The international Master of Biometrics and Intelligent Vision is selective. To access Master 1, at least a Bachelor degree "3 years of university studies" in the field of Computer Science, Computer Engineering, Information Technology, or equivalent. For french education system a "Licence 3" is required (e.g. SPI, Informatics,...), or equivalent.
Data capture and processing
In this course, applied digital signal processing are considered. Basically, matlab programming will be considered.
Data capture and processing
Specifically, this course is an introduction to DNA analysis and characterisation. It will be presented by lectures , expert in biology.
Data capture and processing
This is an introduction to Python programming. It will be considered data science applications and data visualisation techniques.
Data capture and processing
Over few sessions, students will be able to improve their skills in terms of technical writing and presenting.
Data capture and processing
Fundamentals of image processing are presented by considering in particular common tools used for pattern recognition in computer vision.
Data capture and processing
This is an opportunity for students to develop applications using the knowledge they acquire over the semester.
This course is and introduction to Biometrics. Numerous modalities modalities for both verification and identification are considered.
Managing projects, time, teams is very important for the career. Methods and strategies are discussed in this course.
This course is complementary to the one seen in the first semester "Software integration I". Advanced techniques will be considered.
When working in the field of biometrics or biomedical engineering, ethics and privacy principals must be considered.
Computer vision/Machine learning I
You will learn how integrating useful tools and libraries to develop computer vision applications. On the other hand, an introduction of machine-learning is considered.
This second project is supposed to be more advanced, compared to "project I". This is an opportunity for students to develop their creativity.
