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.
• Adapt their communication to a variety of audiences.
• 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.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

Ability to apply formal methods to practical cases using software tools, ability to include formal methods in software development processes, understanding of advanced work in the field.

Content of UE

Presentation of advanced work on verification and synthesis of computer systems. Project: system development using formal methods.

Prior Experience

Basic notions of algorithmics, programming, complexity, logic.

Type of Assessment for UE in Q2

• Presentation and/or works
• Oral Examination

Q2 UE Assessment Comments

Presentations of advanced work based on scientific articles or books (Evaluation E3). Project (possibly within a group) (Evaluation E4). <b>Final grade for UE.</b> If an evaluation is below 8, the final grade is equal to the minimal evaluation. Otherwise, the following weights are used: E3 (40%), E4 (60%).

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination

Q3 UE Assessment Comments

Same rules as for Q2. Any evaluation below 10 must be passed in Q3.