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;  - 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.

Content of UE

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. 

Prior Experience

Probability and statistics, optimisation

Type of Assessment for UE in Q2

• Written examination

Q2 UE Assessment Comments

Written examination, on theory and exercises, concerning also articles of the scientific literature. 

The grade of the UE is the average of the two AA's, except if one of the grades is lower than or equal to 7 in which case the minimum between the two grades is given. In formula, let A = grade AA1, B = grade AA2, then 
if min(A,B)

Type of Assessment for UE in Q3

• Written examination

Q3 UE Assessment Comments

Idem Q2.