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.
• Manage large-scale software development projects.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
• Demonstrate independence and their ability to work alone or in teams.
• Manage research, development and innovation.
• Understand unprecedented problems in computer science and its applications.
• Organise and lead a research, development or innovation project to completion.
• Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Develop and integrate a high degree of autonomy.
• Develop and integrate a high degree of autonomy to evolve in new contexts.

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.

Content of UE

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

Type of Assessment for UE in Q1

• Oral examination
• Practical test

Q1 UE Assessment Comments

- Oral examination on the theoretical part, the score is NT (/20.)
- Presentation and written report on the (enhanced) project developed by group for the practical part, the score is NP (/20)

If NT> = 8/20 and NP> = 8/20, then SCORE = (NP + NT) / 2
Otherwise SCORE = min (NP, NT)
 

Type of Assessment for UE in Q3

• Oral examination
• Practical Test

Q3 UE Assessment Comments

- Oral examination on the theoretical part, the score is NT (/20.)
- Presentation and written report on the (enhanced) project developed by group for the practical part, the score is NP (/20)

If NT> = 8/20 and NP> = 8/20, then SCORE = (NP + NT) / 2
Otherwise SCORE = min (NP, NT)

If one of the two parts was successful (score> = 10) in Q1, it no longer needs to be presented in Q3, the score is retained.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable