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.
• Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
• Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
• 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.
• Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
• Exploit project management principles and tools, particularly the work plan, schedule, document monitoring, versioning and software development methodologies.
• Respect deadlines and timescales
• Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
• Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
• Contribute to the management and coordination of a team that may be composed of people of different levels and disciplines.
• 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.
• Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
• Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
• Analyse their personal functioning and adapt their professional attitudes.
• Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
• Exploit the different means available in order to inform and train independently.
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Construct a theoretical or conceptual reference framework, formulate innovative solutions from the analysis of scientific literature, particularly in new or emerging disciplines.
• Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
• Collect and analyse data rigorously.
• Adequately interpret results taking into account the reference framework within which the research was developed.

Learning Outcomes of UE

- Model a system using a Markov chain and determine its behavior; Be able to use matrix factorization for unsupervised data analysis; Be able to implement the RSA encryption scheme; - propose a solution to deal with a queuing system.  & Waiting systems & contributing to the layout of a workshop;
Planning a project, with or without resource constraints;
Contribute to the planning of production workshops, through the application of exact methods or metaheuristics;
Implement an effective stock management policy;
Implement MRP and KANBAN planning methods;
Mastering the logistics chain of the company (ERP, ...);
Mastering dynamic programming. Plan a workshop layout;
Plan a project, with or without resources constraints;
Optimize a production workshop.
Manage an inventory;
Control a MRP or Kanban policy or a supply chain (ERP);
Manage dynamic programming.

UE Content: description and pedagogical relevance

This UE contains two AA's. One more theoretical about graphs and combinatorial optimization (models, methods, applications) and one where the students have to develop a model with an algorithmic solution for an industrial client (with a user interface). The second computer-aided prodiction planning. We refer to the AA's for more details. 

There will be a global note which will be the average of the 2 AA's unless one has a value

Prior Experience

Probability and statistics, optimisation