Study programme 2015 - 2016
Programme component of Master's Degree in Computer Engineering and Management (Charleroi (Hor. décalé)) à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIG-810-CCompulsory UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
      Français0000055
      AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
      I-MARO-157100%

      Objectives of general skills

      • 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.).
        • Integrate technological innovation and intelligence within engineering teams.
      • 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.
        • Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
        • Assess the validity of models and results in view of the state of science and characteristics of the problem.
      • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
        • Define and align the project in view of its objectives, resources and constraints.
        • Exploit project management principles and tools, particularly the work plan, schedule, document monitoring, versioning and software development methodologies.
        • Assess the approach and achievements, regulate them in view of the observations and feedback received.
        • 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.
        • Identify skills and resources, and research external expertise if necessary.
        • 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.
        • 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.
      • 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.
        • Finalise a realistic career plan in line with the realities in the field and their profile (aspirations, strengths, weaknesses, etc.).
        • 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.
        • 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.

      UE's Learning outcomes

      - Team work
      - Investigate and develop new operational reasearch methods for an industrial problem
      - Oral and written presentations
      - Contact with a client 

      UE Content

      This class aims at introducing the students to a real-world industrial project related to operational reasearch. 

      Prior experience

      - Optimization
      - Graph and Combinatorial Optimization

      Term 1 for Integrated Assessment - type

      • Presentation and works

      Term 2 for Integrated Assessment - type

      • Presentation and works

      Term 3 for Integrated Assessment - type

      • Presentation and works

      Resit Assessment for IT - Term 1 (B1BA1) - type

      • Presentation and works

      Type of Teaching Activity/Activities

      AA
      I-MARO-157

      Mode of delivery

      AA
      I-MARO-157

      Required Reading

      AA
      I-MARO-157

      Required Learning Resources/Tools

      AA
      I-MARO-157

      Recommended Reading

      AA
      I-MARO-157

      Recommended Learning Resources/Tools

      AA
      I-MARO-157

      Other Recommended Reading

      AA
      I-MARO-157

      Term 1 Assessment - type

      AA
      I-MARO-157

      Term 1 Assessment - comments

      AA
      I-MARO-157

      Resit Assessment - Term 1 (B1BA1) - type

      AA
      I-MARO-157

      Resit Assessment - Term 1 (B1BA1) - Comments

      AA
      I-MARO-157

      Term 2 Assessment - type

      AA
      I-MARO-157

      Term 2 Assessment - comments

      AA
      I-MARO-157

      Term 3 Assessment - type

      AA
      I-MARO-157

      Term 3 Assessment - comments

      AA
      I-MARO-157
      UE : Programme component - AA : Teaching activity
      (*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term