20.02.2018

Summer School Course Programme

Jyväskylä Summer School is a great opportunity to earn credits, learn more about interesting topics and enjoy studying in an international atmosphere

The programme includes courses in Biology, Environmental Science, Chemistry, Physics, Nanoscience, Mathematics, Statistics, Information Systems, Computational Sciences, Cognitive Science and Cyber Security. All courses are taught in English. Many international top level lecturers are responsible for the teaching. These guest lecturers will share their expertise and their most effective advice. The Summer School also allows participants to widen their knowledge even outside their own field so it is highly recommended to take a look at all of the courses on offer.  The Summer School supports students in increasing their readiness for international activity. The School also enriches the scientific community, offers an environment for new ideas and innovations, enables forming new connections and helps to improve language and communication skills. 

 Courses offered in 6 - 10 August:

  • BIO1: Designing Recirculating Aquaculture Systems
  • BIO2: Bioinformatics for Microbial Ecologists - Sequence Processing Made Easy
  • CH1: Rearrangement Reactions in Syntheses
  • PH1: Radiation Interactions in Electronic Materials
  • PH2: Challenges and Radiation Performance of Advanced and Emerging CMOS Technologies
  • 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
  • COM3: Numerical Analysis of PDEs - History, Overview of Methods, and Recent Advantages (Please note! This course takes place during both weeks of the Summer School)
  • COG2: Emerging Technologies for Inclusive and Accessible Design - AI, Sensors, IoT, and Multimodal Interfaces

Courses offered in 13 - 17 August:

 

  • CH2: The Role of Non-covalent Interactions in Solid-state Properties of Materials
  • 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
  • COM2: Data Analytics + Machine Learning + Optimization
  • COM3: Numerical Analysis of PDEs - History, Overview of Methods, and Recent Advantages (Please note! This course takes place during both weeks of the Summer School)
  • COM4: Introduction to Cryptography and Security
  • COG1: Design Thinking, Cognition and Beyond
  • CYB1: Introduction to Hybrid Threats and Comprehensive Security
  • IS1: Digital Strategies in Global Markets

 See the course details by clicking the images below.