Applied Mathematics

Interdisciplinary Graduate Program

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Study Materials

Course Presentations for Winter 2019-2020
  • Course intro – Nir Gavish
  • Projection-free Optimization and Learning – Dan Garber
  • Why Neural Networks converge to “simple” solutions? – Daniel Soudry
  • The onset of chaos in nonlinear nano- resonators – Oded Gottlieb
  • Graph Theory for Multi-Agent and Networked Systems – Daniel Zelazo
  • Analysis of single-cell RNAseq in order to learn about brain function – Amit Zeisel
  • Modeling Complex Systems with Object-Process Methodology – Dov Dori
  • Flow, deformation and, reaction in porous media: The preferential flow case – Yaniv Edery
  • Mathematical Models for Air and Water Quality through Wireless Distributed Sensor Networks – Barak Fishbain
  • Dynamics of recurrent networks with low-rank perturbations- Omri Barak
  • Some open problems in the dynamics – Amy Novick-Cohen
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mathgrd@technion.ac.il
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