Objectives of Programme's Learning Outcomes

• Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
• Carry out development or innovation projects in IT.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to contribute to the achievement of a development or innovation project.
• Master the complexity of such work and take into account the objectives and constraints which characterise it.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Where possible, communicate in a foreign language.
• Develop and integrate a high degree of autonomy.
• Aquire new knowledge independently.
• Pursue further training and develop new skills independently.
• Develop and integrate a high degree of autonomy to evolve in new contexts.
• Apply scientific methodology.
• Critically reflect on the impact of IT in general, and on the contribution to projects.

Learning Outcomes of UE

develop image processing techniques, together with a critical analysis of the problem;
apply image coding, analysis, segmentation and feature extraction techniques
apply classification and machine learning techniques (deep learning)

UE Content: description and pedagogical relevance

Image Processing, Image acquisition; lowlevel processing, filtering, transforms; image segmentation and registration;
Image Coding, Deep Learning

Prior Experience

fundamentals of signal processing; probability and statistics