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, with a focus on Innovation and Information Systems, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques related to the improvement of decision and management processes, mastery of mathematical modelling and optimisation algorithms, analysis of large volumes of data, mastery of Web and multimedia tools, design and operation of distributed and mobile computing systems, management of a software project, innovative management of a company and/or project team, information systems (data mining, database, cloud computing, etc.) and management of technological innovation.
• Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
• Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
• On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.

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.

UE Content: description and pedagogical relevance

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