Study programme 2018-2019Français
Selected topics in Data Science and AI
Programme component of Master's Degree in Computer Engineering and Management à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRIGIG-104-MCompulsory UESIEBERT XavierF151 - Mathématique et Recherche opérationnelle
  • SIEBERT Xavier

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais300300055.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-GRIG-071Selected topics in Data Science and AI3003000Q2100.00%
Programme component

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).
    • Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
  • 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.
  • 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).

Learning Outcomes of UE

Prior Experience

Not applicable

Q2 UE Assessment Comments

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-GRIG-071
  • Cours magistraux
  • Projets supervisés

Mode of delivery

AAMode of delivery
I-GRIG-071
  • Face to face

Required Reading

AA
I-GRIG-071

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-GRIG-071Not applicable

Recommended Reading

AA
I-GRIG-071

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-GRIG-071Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-GRIG-071Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-GRIG-071Unauthorized
(*) 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
Date de génération : 02/05/2019
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