Study programme 2019-2020Français
Real-time, IoT and Cloud Computing
Programme component of Master's in Computer Engineering and Management à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRIGIG-304-MOptional UEMANNEBACK PierreF114 - Informatique, Logiciel et Intelligence artificielle
  • MANNEBACK Pierre
  • MAHMOUDI Sidi

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais303000055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-INFO-008Real-time Computing Systems1818000Q160.00%
I-INFO-208Cloud Computing1212000Q140.00%
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).
    • On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).

Learning Outcomes of UE

Mastering computer systems that interact with their environment and connected objects: measures, data, processing, taking account of timing and spatial (memory) constraints.

Content of UE

Processes. Threads. Communication. Scheduling. Orchestration. Cloud Computing. 

Prior Experience

Algorithms. Programming.

Type of Assessment for UE in Q1

  • Oral examination

Q1 UE Assessment Comments

Building up on PC.

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Building up on PC.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

N/A

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-INFO-008
  • Cours magistraux
  • Travaux de laboratoire
  • Projet sur ordinateur
I-INFO-208
  • Cours magistraux
  • Conférences
  • Travaux pratiques
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
I-INFO-008
  • Face to face
I-INFO-208
  • Face to face

Required Reading

AA
I-INFO-008
I-INFO-208

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-INFO-008Not applicable
I-INFO-208Not applicable

Recommended Reading

AA
I-INFO-008
I-INFO-208

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-INFO-008Not applicable
I-INFO-208Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-INFO-008G.C. Butazzo, Hard real-time computing systems,  Springer, 2011
X. Fan Real-Time Embedded Systems, 2015
K.A. Robbins & S. Robbins, Unix systems programming, 2003
F. Cottet et E. Groleau, Système temps-réel de contrôle-commande, Dunod, 2005
I-INFO-208Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-INFO-008Unauthorized
I-INFO-208Authorized
(*) 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 : 13/07/2020
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