Study programme 2023-2024Français
Stage en artificial intelligence and data analytics
Programme component of Master's in Computer Science : Specialist Focus on Artificial Intelligence and Data Analytics (MONS) (day schedule) à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M2-INFFSA-002-MCompulsory UEBUYS AlainS802 - Réseaux et Télécommunications

    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
    • Français
    Français00380001515.00Full academic year

    AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
    S-INFO-047Internship0038000A
    S-INFO-104Rapport de stage00000A

    Integrated test : there will be no assessment for each AA but a single assessment for the UE.
    Programme component
    Prérequis

    Objectives of Programme's Learning Outcomes

    • Apply scientific methodology.
      • Critically reflect on the impact of their discipline in general, and on the contribution to projects.
    • Develop and integrate a high degree of autonomy.
      • Aquire new knowledge independently.
      • Pursue further training and develop new skills independently.
      • Develop and integrate a high degree of autonomy to evolve in new contexts.
    • Manage large-scale software development projects.
      • Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
      • Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
      • Demonstrate independence and their ability to work alone or in teams.
    • Skill 2: Have acquired professional skills in relation to the objective defining the degree.
      • Specialise in at least one sub-domain of computer science.
      • Integrate into an inter-university environment and conduct scientific collaborations.

    Learning Outcomes of UE

    At the end of the 10 weeks internship in a company external to the University of Mons, students will be able to integrate into a professional environment and collaborate with various stakeholders in a real project oh artificial intelligence. Students will be able to apply knowledge acquired during their university studies in computer science has one or several specific cases in business. Students will therefore be prepared for integration into working life. Students will be able to conform to the internship agreement from the Faculty of Science of UMONS as well as specific clauses internships, for the "Master en Informatique, finalité spécialisée"

    UE Content: description and pedagogical relevance

    Application of acquired competences in computer science, work experience and teamwork, furniture of results

    Prior Experience

    A general knowledge in computer science, as well as a specialisation in the domain covered by the intership subject is required.

    Q1 UE Assessment Comments

    Assessment based on the advice of the master of internship, the Director of the internship at UMONS (who will read a report written by the student) and the notice board internships.

    The internship evaluation is combined with the evaluation of the internship report to give an integrated grade to the full EU.

    Q1 UE Resit Assessment Comments (BAB1)

    Not applicable

    Q2 UE Assessment Comments

    Not applicable

    Q3 UE Assessment Comments

    Assessment based on the advice of the master of internship, the Director of the internship at UMONS (who will read a report written by the student. This report must exhibit the enhancements made since the first evaluation) and the notice board internships.

    The internship evaluation is combined with the evaluation of the internship report to give an integrated grade to the full EU.

    The internship cannot be performed again for the second session, only the report can be submited again.

    Type of Teaching Activity/Activities

    AAType of Teaching Activity/Activities
    S-INFO-047
    • Stages et activités d'intégration professionnelle
    S-INFO-104
    • Excursions, visites

    Mode of delivery

    AAMode of delivery
    S-INFO-047
    S-INFO-104
    • Face-to-face

    Required Learning Resources/Tools

    AARequired Learning Resources/Tools
    S-INFO-047Not applicable
    S-INFO-104Not applicable

    Recommended Learning Resources/Tools

    AARecommended Learning Resources/Tools
    S-INFO-047Not applicable
    S-INFO-104Not applicable

    Other Recommended Reading

    AAOther Recommended Reading
    S-INFO-047Not applicable
    S-INFO-104Not applicable
    (*) 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 dernière mise à jour de la fiche ECTS par l'enseignant : 05/10/2023
    Date de dernière génération automatique de la page : 18/05/2024
    20, place du Parc, B7000 Mons - Belgique
    Tél: +32 (0)65 373111
    Courriel: info.mons@umons.ac.be