

The Jyväskylä Summer School está organizado por la Facultad de Matemáticas y Ciencias y la Facultad de Tecnología de la Información en la Universidad de Jyväskylä, Finlandia. La Escuela de Verano ofrece anualmente cursos para estudiantes avanzados de maestría, estudiantes graduados y post-doctorado en los distintos campos de la ciencia y la tecnología de la información. Los estudiantes finlandeses e internacionales de estos campos son animados a formarse en la enseñanza interdisciplinaria de calidad de la Escuela.
El idioma oficial de todos los cursos de la Summer School será el inglés.
Cursos que se organizan:
- BIO1: Environmental Fate and Possible Effects of Nanoparticles
- CH1: Biological Mass Spectrometry
- CH2: Solid State NMR Spectroscopy in Materials Chemistry
- CH3: Non-linear Ultrafast Laser Spectroscopy, Theory, 2DIR and 2D Electronic Spectroscopies
- COM1: Modelling Strategic Decisions
- COM2: Automated Solution of Differential Equations by the Finite Element Method
- COM3: Electromagnetic Theory and Geometry
- COM4: Integral Equation Methods in Electromagnetics
- COM5: Reliable Methods of Mathematical Modeling for Scientific and Engineering Computations
- COM6: Advanced Methods for Classification of Big High Dimensional Data
- COM7: Electromagnetic Signals from The Human Brain: Fundamentals and Analysis
- COM8: Techno-economic Systems: Institutional Innovation
- IS1: Cognitive Modeling with ACT-R
- IS2: Higher Level Entity Relationship Modelling
- MA1: Multiwave Imaging
- MA2: Inverse Problems in Two Dimensions
- MA3: Geometric Stochastic Analysis
- PH1: Optical and Electronic Properties of Carbon Nanotubes and Graphene
- PH2: Elemental Depth Profiling of nm Thick Films
- PH3: Terahertz Spectroscopy of Solid-State Systems: From Bulk to Nanoscale Materials
- PH4: Using Language to Teach Science: Researching Classroom Communication and Developing Dialogic Approaches
- RE1: Biogas Technology for Renewable Energy Production and Environmental Benefit
- RE2: Fundamentals of Marine Energy: Wave energy
- STAT1: Industrial Data Science
Más información: JYU