Study programme 2022-2023Français
Cloud computing
Programme component of Master's in Computer Science (MONS) (day schedule) à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCINFO-090-MCompulsory UEMAHMOUDI SidiF114 - Informatique, Logiciel et Intelligence artificielle
  • MAHMOUDI Sidi

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais121200022.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-ILIA-208Cloud and Edge Computing1212000Q1100.00%

Programme component
Corequis

Objectives of Programme's Learning Outcomes

  • 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.

Learning Outcomes of UE

At the end of this learning activity, the student will be able to:
- Manage and manipulate cloud/edge architectures;
- Manage the basic concepts in the field of cloud computing: SaaS, PaaS, IaaS;
- Analyze efficiently the offers of cloud providers;
- Manage the tools of applications deployment and migration in the cloud/edge.

UE Content: description and pedagogical relevance

- Introduction and définitions of Cloud Computing ;
- Cloud features : scaling, virtualization, contenerization, etc.
- Cloud computing architectures ;
- Cloud deployment models ;
- Examples of cloud platforms ;
- Cloud Computing and Edge AI.

Prior Experience

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-ILIA-208
  • Cours magistraux
  • Conférences
  • Travaux pratiques
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
I-ILIA-208
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-ILIA-208Not applicable

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-ILIA-208Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-ILIA-208Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-ILIA-208Unauthorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
I-ILIA-208
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face

Term 1 Assessment - comments

AATerm 1 Assessment - comments
I-ILIA-208Oral presentation of a project applying technologies seen in courses and labs (virtualisation, conterisation, deployment, etc.) on a concrete use case example in relation with the course of "Multimedia Retrieval"
Project of the UE englobing the two AA "Multimedia Retrival" and "Cloud and Edge Computing" 

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
I-ILIA-208
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
I-ILIA-208
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face

Term 3 Assessment - comments

AATerm 3 Assessment - comments
I-ILIA-208Idem Q1
(*) 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 : 15/05/2022
Date de dernière génération automatique de la page : 21/06/2023
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be