Program (2014)
The main part of the Summer School program consists of the study courses that are presented in the form of lectures, seminars, workshops, discussions according to the topics of four areas that are run in a four concurrent streams.
Applied Computer Science stream: Data Analysis
Applied Computer Science (ACS) stream is a traditional part of the AACIMP Summer School academic program. This year lectures and courses of the ACS stream will be focused on Data Science and Data Analysis. In the modern world these fields are especially eminent due to the dramatically growing amount of data produced by the mankind. This implies that world economy is entering ‘big data’ boom when availability of efficient algorithms for data analysis becomes a key to economic growth, flourish of innovations and people prosperity
Energy stream: Low Energy Buildings
The Summer School AACIMP has good experience of delivering energy-dedicated lectures at Sustainable Development and Advanced Energy streams in 2010 and 2012 correspondingly. This year Energy stream will reappear in the program of the Summer School AACIMP focusing on low energy housing and particularly on new approaches and solutions to enhancing energy efficiency of buildings.
Neuroscience stream
The stream overviews a broad range of topics including dynamical principles of visual and auditory systems, rhythm generation, neuromechanics of movement control, neuron-computer interface in dynamic-clamp experiments, brain computer interfaces: overview and practical examples, circadian clocks, and applications of biosignal analysis for human state assessment in various conditions. The stream provides all required information and materials to understand the biological bases of modeled processes.
Operational Research stream
Annual Operational Research (OR) stream of the Summer School AACIMP aims to provide overview on state-of-the-art OR. Hereinafter we refer to OR as field that studies advanced analytic techniques as a means to improve decision-making. Operational Research claims to be interdisciplinary, considering a vast variety of scientific areas where its methods and techniques are often applicable. Participants of the stream will learn how Operational Research specialists use different types of models (both hard and soft OR techniques) to improve decision making in the face of uncertainty in real problems of business, governments or society.