Objectives of Programme's Learning Outcomes

• 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.
• 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.
• 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.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.
• Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
• Make decisions, individually or collectively, taking into account the parameters involved (human, technical, economic, societal, ethical and environmental).
• 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.
• Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
• Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.

Learning Outcomes of UE

At the end of the class the students will be able to understand and explain the main concepts and methods of decision support, as well as to apply the methodologies studied in practical applications, with the help of software tools.(For details, see the AA contents)

Content of UE

multiple criteria decision aiding (multi-criteria problems, discussion of the weighted sum, additive value functions, outranking methods, decision under uncertainty and risk); multi-objective optimization (general concepts and tools, multiple objective linear programming and combinatorial optimization); treatment of uncertainty (fuzzy sets, fuzzy logic, possibilistic or flexible mathematical programming).

Prior Experience

Not applicable

Q1 UE Assessment Comments

Not applicable

Q2 UE Assessment Comments

Not applicable

Q3 UE Assessment Comments

Not applicable

Q1 UE Resit Assessment Comments (BAB1)

Not applicable