Course Overview

The objective of this class is to present variational approaches and
partial differential equations in image processing. Students learn to
mathematically model image processing problems and to bring the
desired qualitative property of the model in terms of mathematical
modeling.

Students master the fundamentals in order to be able to adapt
classical variational models and PDE to  situations they might
encounter in their future professional life.

Practical lab sessions illustrate the theoretical principles developed
during the course.

Learning Achievement

Competence

Course prerequisites

- Level B2 CEFR in English.
- Basic knowledge of mathematical analysis and linear analysis.

Grading Philosophy

Written examination and practical work.

Course schedule

Course type

> Lectures and practical work: - 50 hours face-to-face teaching, - 100 hours personal work.

Online Course Requirement

Instructor

Other information

Duration: 12 weeks

Language of instruction: English
Mode of delivery: Face-to-face teaching; Personal work

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