8th Summer School “Achievements and Applications of Contemporary Informatics, Mathematics and Physi
Organization: Student Science Association of NTUU "KPI"
|Event Date/Time: Aug 01, 2013||End Date/Time: Aug 17, 2013|
|Registration Date: Jun 01, 2013|
|Early Registration Date: May 01, 2013|
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) â€śOperational Researchâ€ť, â€śApplied Computer Scienceâ€ť and â€śNeuroscienceâ€ť.
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) Â 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 Â and cellular mechanisms of pain
Specific perceptions: Auditory, Visual, Somatosensory
Prerequisites: no prior knowledge in the field is expected.
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.Â The detailed information is given on the project website.
August, 1-17 â€“ the Summer School AACIMP will be held
May, 1 â€“ the early registration deadline
June, 1 â€“ the late registration deadlineÂ