8th Summer School “Achievements and Applications of Contemporary Informatics, Mathematics and Physi

Organization: Student Science Association of NTUU "KPI"

Venue: National Technical University of Ukraine "KPI"

Location: Kyiv, Ukraine

Event Date/Time: Aug 01, 2013 End Date/Time: Aug 17, 2013
Registration Date: Jun 01, 2013
Early Registration Date: May 01, 2013
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The Summer School AACIMP is an annual scientific-educational project organized and held by Student Science Association and the National Technical University of Ukraine "KPI" in Kyiv, Ukraine.

Educational program of the School is presented with 3 fields (streams) “Operational Research”, “Applied Computer Science” and “Neuroscience”.

Operational Research.

Stream will cover a certain variety of topics. Participants of the stream will learn how Operational Research specialists use mathematical models to improve decision making in the face of uncertainty in real problems of business, government and society.

Preliminary topics of the stream:

  • Financial markets modeling (financial mathematics; levy processes in finance; portfolio investment theory; mathematical behavioral finance; stochastic calculus; investment optimization; market data analysis)

  • Logistics and supply chain modeling (just in time and pull production systems; lean manufacturing and reverse logistics; supply chains collaborative planning; crisis and disaster operations; optimal transportation)

  • Fundamental problems (anticipation: phenomenon, modeling and occurrence in OR)

Prerequisites: proficiency in basic calculus is the only requirement for the stream courses.


Applied Computer Science.

Being a participant, you will learn about the most effective machine learning (ML) and artificial intelligence (AI)  techniques. What is more important, you will study not only theoretical bases of ML and AI, but also will acquire practical know-how needed to quickly and powerfully apply those techniques to solve real-world problems.

Preliminary topics of the stream are:

  • Applied computer science (http://summerschool.ssa.org.ua/program/acs-stream)

  • Supervised learning (classification analysis, neural networks, support vector machines)

  • Unsupervised learning (clustering, dimensionality reduction, kernel methods)

  • Learning theory (bias/variance tradeoffs; VC theory; large margins)

  • Probabilistic modelling (bayesian networks, hidden Markov chains and models)

  • Search heuristics (A* search; minimax)

All the topics will be based on applications of ML and AI, such as robotics control, data mining, computer games, bioinformatics as well as text and image recognition.

Prerequisites: proficiency in basic calculus; some programming background is useful but not necessary.



This stream includes broad range of topics from subcellular level to cognition and social behaviour considered mainly from computational point of view. It provides all required information to understand biological bases of modelled processes.

Preliminary topics of the stream are:

  • Neurodynamic, type of excitability, bursting and bistability

  • Dynamic clamp or Neuron-Computer Interface

  • Spatial property of neurons, multicompartment models

  • Local and global neural networks, synchronization and oscillations

  • Brain networks, specific mediator systems and behavior

  • Molecular  and cellular mechanisms of pain

  • Specific perceptions: Auditory, Visual, Somatosensory

  • Brain-Computer Interface

Prerequisites: no prior knowledge in the field is expected.


Building 1, 37, Peremohy avenue


Student Science Association of NTUU "KPI"

Additional Information

DAAD program is offering scholarships to the students studying in Germany at the moment of participation in the Summer School AACIMP, covering all the costs. The details can be found at DAAD Go East program website.

To become a participant, please fill in the application form. The detailed information is given on the project website.

Key dates:

August, 1-17 – the Summer School AACIMP will be held

May, 1 – the early registration deadline

June, 1 – the late registration deadline