Study programme 2021-2022Français
Projet 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-M1-INFFSA-001-MCompulsory UEQUOITIN BrunoS802 - Réseaux et Télécommunications
  • QUOITIN Bruno

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français000001515.00Full academic year

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-001Projet en artificial intelligence et data analytics100.00%
Programme component
Corequis

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.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
  • 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.
  • Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
  • 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.
  • Manage research, development and innovation.
    • Understand unprecedented problems in computer science and its applications.
    • Organise and lead a research, development or innovation project to completion.
    • Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.

Learning Outcomes of UE

Be able to carry out a software project individually, respecting the imposed deadlines.

Content of UE

(see learning activity)

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Presentation and/or works

Q2 UE Assessment Comments

The project will be evaluated by a jury consisting of all project directors and readers. They will evaluate the quality of the project work, based on the results produced (e.g. source code and executable code), the contents of the written report, and an oral presentation by the student.

Type of Assessment for UE in Q3

  • Presentation and/or works

Q3 UE Assessment Comments

The project will be evaluated by a jury consisting of all project directors and readers. They will evaluate the quality of the project work, based on the results produced (e.g. source code and executable code), the contents of the written report, and an oral presentation by the student.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AA
S-INFO-001

Mode of delivery

AAMode of delivery
S-INFO-001
  • Mixed

Required Reading

AA
S-INFO-001

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-001Not applicable

Recommended Reading

AA
S-INFO-001

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-001Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-001Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-001Authorized
(*) 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