Study programme 2021-2022Français
Stage en artificial intelligence and data analytics
Programme component of Master's in Computer Science : Specialist Focus on Artificial Intelligence and Data Analytics à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M2-INFFSA-002-MCompulsory UEDELGRANGE OlivierS829 - Informatique théorique
  • DELGRANGE Olivier

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
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"

Content of UE

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.

Type of Assessment for UE in Q1

  • Presentation and/or works

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.

Type of Assessment for UE in Q2

  • N/A

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Presentation and/or works

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 Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

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
  • From a distance
S-INFO-104
  • From a distance

Required Reading

AA
S-INFO-047
S-INFO-104

Required Learning Resources/Tools

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

Recommended Reading

AA
S-INFO-047
S-INFO-104

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 génération : 17/09/2021
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be