MathMods :: Joint MSc

Numerical methods for algorithmic systems and neural networks

Additional Info

  • ECTS credits: 5
  • University: Leibniz University Hannover
  • Semester: 3
  • Lecturer 1: Thomas Wick
  • Objectives:

     

    This course is devoted to mathematical tools needed for modern techniques
    in algorithmic systems and neural networks
  • Topics:

     

    Basic concepts from numerical mathematics
    Feedforward neural networks
    Modern extensions of neural networks
Read 462 times Last modified on Thursday, 13 June 2024 10:06
Published in Course units
back to top

MathMods Full Partners 2024

uaq small uhh small uca small leibniz hannover logo granada logo small
UAQ
University of L'Aquila		 UHH
University of Hamburg		 UniCA
University of Côte d'Azur		 LUH
Leibniz University Hannover		 UGR
University of Granada
Home Structure Semester 3 UHH Modelling and simul. of complex systems Course units Numerical methods for algorithmic systems and neural networks

About Us

Features

People

Connect with us

Joint MSc MathMods c/o DISIM - Department of Information Engineering, Computer Science and Mathematics - University of L'Aquila,  Italy :: Designed by Danilo Larivera :: Email us