Semester 9 - Supercomputing and Data Science

List of courses

• UE I9CISD-A - Programming architectures, languages and models

  6 credits

  • Parallel languages

  • Multicore and computational gas pedals

  • Tools and environments for HPC

• UE I9CISD-B - High-performance computing, classification and learning algorithms

  6 credits

  • Parallelism algorithms, scheduling, data structures, load balancing

  • Data analysis.

  • Numerical algorithms

• UE I9CISD-C - Execution, extraction and visualization environment

  6 credits

  • Introduction to scientific visualization

  • Data processing media

  • Customized course (your choice)

    • Your choice: 1 of 2

      • Efficient deep learning

      • 3D programming

• UE I9CISD-D - Application modules

  7 credits

  • In-situ data processing

  • Search, extraction and visualization

  • HPC Application Project

  • Masters HPC seminars

• UE I9CISD-E - Languages and engineering culture

  5 credits

  • LV1 English

  • Integrating the company

  • Optional student commitment (high level)

  • Optional student commitment (very high level)