Scientific computing - 4PMSSDO1

Informations générales

  • Number of hours

    • Lectures 6.0
    • Projects 0
    • Tutorials 2.0
    • Internship 0
    • Laboratory works 16.0
    • Written tests 0

    ECTS

    ECTS 0.0

Goal(s)

Understand methods for solving some typical problems involved in signal processing and artificial intelligence (optimization, ...) with a view on the limitations related to numerical computations.

Contact Matthieu GUERQUIN-KERN

Content(s)

Lecture:

  • Binary encoding and calculations on a computer
  • Optimization without and with constraints

Lab tutorials:

  • Introduction to Matlab
  • Optimization

Project:
-Applications of the methods presented in class. For instance: signal denoising, neural network training...



Prerequisites
  • Fundamentals of Analysis (differentiation, gradients, Hessian and Taylor series).
  • Fundamentals of binary encoding of integers (computer science).

Test



Additional Information

Course list
Curriculum->SICOM->Semester 7