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

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