Objectives of Programme's Learning Outcomes

• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.
• Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
• Argue to and persuade customers, teachers and boards, both orally and in writing.
• Select and use the written and oral communication methods and materials adapted to the intended purpose and the relevant public.
• Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
• Collect and analyse data rigorously.
• Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Learning Outcomes of UE

Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

Content of UE

Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

Prior Experience

Numerical Analysis, optimization and programming skills

Type of Assessment for UE in Q1

• Presentation and/or works
• Oral examination
• Written examination
• Practical test
• Graded tests

Q1 UE Assessment Comments

The evaluation methods are likely to be adjusted according to the context imposed by the health measures.
These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam.
For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course.

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination
• Written examination
• Practical Test
• Graded tests

Q3 UE Assessment Comments

The evaluation methods are likely to be adjusted according to the context imposed by the health measures.
These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam.
For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

not applicable