Objectives of Programme's Learning Outcomes

• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
• Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
• Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
• Assess the validity of models and results in view of the state of science and characteristics of the problem.

Learning Outcomes of UE

Apprehend and apply principes, methods and tools of Parallel abd Distributed Computing.

Content of UE

AA "High Performance and Cloud Computing" <b>MPI and OpenMP programming</b>.<b>GPU programming.</b> <b>Cloud computing </b> Cloud computing architecture Cloud components Deployment models Service models Cloud storage Cloud supports Cloud security Cloud advantages Cloud uses cases Demonstration : Cloud-based image and video processing platform  

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• Oral examination
• Practical test

Q1 UE Assessment Comments

From a sequential code, exploit directives and libraries to transform and paralellize it.

Type of Assessment for UE in Q3

• Oral examination
• Practical Test

Q3 UE Assessment Comments

same as Q1

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable