The streams of the Summer School AACIMP are covering the most recent topics in modern science all of which are taught in English. The Summer School welcomes students with all academic backgrounds and degrees (Bachelor's, Master's or PhD). The number of credits (ECTS) given varies depending on the scope and duration of the stream. The AACIMP-2013 Summer School was represented by the following list of streams:
Stream List of AACIMP 2013
Operational Research (OR) - the aim of the Operational Research stream was to introduce some methods of mathematical analysis that allow better solutions dealing with the complex challenges from the real life of businesses and governments. Operational Research stream was truly interdisciplinary, it united diverse subjects such as financial models, transportation optimization and many others to provide better understanding of the world and improve the quality of decisions made. There are no requirements on preliminary experience of participants in Operational Research, but a good mathematical background would improve the personal learning outcome of the course.
Neuroscience (NS) - gave an overview of the field for students, postgraduates and young scientists mainly with physical and mathematical background and aimed to give initial knowledge and induce interest to Neuroscience. The curriculum included broad range of topics from subcellular level to cognition and social behaviour considered mainly from computational point of view. It provided all required information to understand biological bases of modelled processes.
Applied Computer Science (ACS) - provided participants of the steram with an overview of most contemporary machine learning and artificial intelligence techniques. Theoretical basis and practical implementation as well as application issues of these techniques were. It was not required for the participants to have any significant prior knowledge. The only requirement was to be competent in probability theory and calculus at a high-school level. The course included programming, but no prior experience in programming was demanded.
“Nanotechnology for Quantum and Solid-State Electronics and Processing Platforms”
August 2, 1100, Academic Council Hall
Prof. Sergey Edward Lyshevski
Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology
“Yandex Academic Programs”
August 5, 1650, NS Room
The AACIMP participants got to know about the most ambitious and successful academic project of Yandex – the Data Analysis School. The lecture also introduced other Yandex Schools (http://mshad.yandex.ru), Yandex deparments in Moscow Institute of Physics and Technology and the Higher school of economics (Russia) along with side academic initiatives supported by the company and a wide variety of opportunities (practices, internships etc.) offered to students.