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.
• 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

The master thesis is a first experience in scientific research work (or bibliographic, or didactic, according to the context). This work is done in a laboratory in a university, or in a private company and is corrdinated by a supervisor that proposes the subject, supervises and advises the student in his approach. In the case of an experimental subjet, the work encompases: bibliographic research on the subject, planning and realization of the experiments, analysis of the results, and writing of the report (50 to 100 pages maximum, without annexes). This report presents the results in the usual way in science (structured in introduction, goal, material and methods, results, discussion, conclusion, bibliograhy, annexes). A the end of this work, the student will develop a know-how in the various aspects of the scientific research (documentation, planning and realization of experiments, interpretation, restitution).

Content of UE

Depending on the subject and the laboratory where the work is done.

Prior Experience

A general knowledge in computer science, as well as a specialisation in the domain covered by the master thesis' subject is required. A successful completion of the "Reading and Scientific Writing" course (US-MC-INFO60-014-C, AA S-INFO-050)

Type of Assessment for UE in Q1

• N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

• Presentation and/or works
• Oral Examination
• Written examination

Q2 UE Assessment Comments

The written report is evaluated by a commitee constituted by the supervisor, the co-supervisor (if applicable), and at least two referees. One or more external referees, specialized in the subject, can make part of the commitee. The student also does a public oral presentation of 15min. This presentation is followed by a short questions/answers session (10min).

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination
• Written examination

Q3 UE Assessment Comments

The written report is evaluated by a commitee constituted by the supervisor, the co-supervisor (if applicable), and at least two referees. One or more external referees, specialized in the subject, can make part of the commitee. The student also does a public oral presentation of 15min. This presentation is followed by a short questions/answers session (10min).

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable