Objectives of Programme's Learning Outcomes

• Have integrated and elaborate mathematical knowledge.
• Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
• Carry out major projects.
• Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
• Give constructive criticism on the quality and progress of a project.
• Work in teams and, in particular, communicate effectively and with respect for others.
• Present the objectives and results of a project orally and in writing.
• Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
• Appropriately make use of computer tools, as required by developing a small programme.

Learning Outcomes of UE

At the end of the instruction, the students will be able to explain the development needs of algorithms and data structures in the context of voluminous data such as genetic sequences. Students will be able to explain the classical algorithms for bioinformatics and string-matching. They will be able to implement algorithms for efficient manipulation of DNA sequences.

UE Content: description and pedagogical relevance

Algorithms, complexity of algorithms, strings, string-matching, sequence alignment; suffix tree; DNA sequencing and fragment assembly

Prior Experience

algorithmic, complexity of algorithms, programming in an imperative or object language