The 28th Jyväskylä Summer School

6th – 17th August 2018
University of Jyväskylä
The 28th Jyväskylä Summer School offers courses for advanced Master’s students, PhD students, and post-docs in various fields of Science and Information Technology. Students from all over the world are encouraged to apply and benefit from the high-quality interdisciplinary teaching of the Summer School. Jyväskylä Summer School provides students with an excellent opportunity to participate in a large number of courses and enjoy high-quality teaching by respected researchers from all over the world. The language of instruction is English in all Summer School courses.
A total of 22 courses are offered in the following subjects:
  • Biological and Environmental Sciences
  • Chemistry
  • Cognitive Science
  • Computational Sciences
  • Cyber Security
  • Information Systems
  • Mathematics
  • Nanoscience
  • Physics
  • Statistics
Students are welcome to participate in the following courses:
  • BIO1: Designing Recirculating Aquaculture Systems
  • BIO2: Bioinformatics for Microbial Ecologists – Sequence Processing Made Easy
  • CH1: Rearrangement Reactions in Syntheses
  • CH2: The Role of Non-covalent Interactions in Solid-state Properties of Materials
  • PH1: Radiation Interactions in Electronic Materials
  • PH2: Challenges and Radiation Performance of Advanced and Emerging CMOS Technologies
  • PH3: Introduction to Parton Distributions in Perturbative QCD
  • PH4: Light Cone Perturbation Theory and Small-x QCD
  • MA1: Recent Progress in Regularity Theory
  • MA2: Quantitative Stochastic Homogenization
  • MA3: On Recent Developments on Markov Processes and Applications
  • STAT1: Penalized and Bayesian Models for Variable Selection in Linear Regression: Inference, Model Averaging, and Prediction
  • NANO1/PH5: Optomechanics in the Quantum Regime
  • NANO2: Nanophotonics: Fluorescence and Plasmon Controlled Fluorescence
  • COM1: Variational Models and Fast Numerical Schemes in Image Processing and Computer Vision
  • COM2: Data Analytics + Machine Learning + Optimization
  • COM3: Numerical Analysis of PDEs – History, Overview of Methods, and Recent Advantages
  • COM4: Introduction to Cryptography and Security
  • COG1: Design Thinking, Cognition and Beyond
  • COG2: Emerging Technologies for Inclusive and Accessible Design – AI, Sensors, IoT, and Multimodal Interfaces
  • CYB1: Introduction to Hybrid Threats and Comprehensive Security
  • IS1: Digital Strategies in Global Markets
Participation in the courses is free of charge, but students are expected to cover their own costs, including travel, accommodation and meals. 

More information on the courses and application instructions at: 

Deadline for applications is 30th of April 2018!

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