Driven by the idea of making the educational program more practice-oriented, we have come up with a new format of the curriculum. In short, it will incorporate three following stages (or phases):

• During the first stage participants will attend introductory courses that will include, among others, statistical analysis, basic optimization methods, computer modeling etc. The students will be invited to take part in a poster session planned to be held at the end of this stage.

• The second stage will start with a project fair where students will join on the projects to work on till the end of the School. These projects will be based on real-life problems, proposed by representatives of cities, companies, organizations, citizens and researchers that will supervise and consult students during their work in the multidisciplinary teams. The projects will belong to one or several of the four disciplines (“streams”): Applied Computer Science, Computational Neuroscience, 3D Printing and Smart Cities. During this phase the half of the time will be dedicated to more specific-topic oriented lectures, when the other half will be devoted to project group work. As for the courses, during this phase they are planned to be more practical and specific, determined by the sphere of each discipline.

• The third stage will be substantially dedicated to working on the projects. The participants will be provided with necessary tools to accomplish their projects. The project teams will present their results publicly at the end of the School. Besides, the students will be invited to attend several insightful lectures during the final phase.

The applicants of the Summer School are invited to select one of the mentioned streams during the registration: Smart Cities, 3D Printing, Computational Neuroscience and Applied Computer Science.

Smart Cities: Operational Research, Energy and Urbanistics

Smart cities stream focuses on sustainable urban development empowered with analytical methods, ICT tools and emerging technologies. The stream will start with brief introduction into basics of urbanistics, challenges of contemporary cities and ‘smart’-related concepts and approaches, i.e. internet of things and big data induced intelligence; urban system modelling, operations research and business analytics; user-centric city services and strategic planning. Further the program will proceed to cases and applications for several key areas of smart cities: energy, mobility, security, planning and governance, as well as tools and methods to complete projects, which will be a core activity of the stream.

3D Printing

The participants of the 3D printing stream will study basic principles of 3D printing: working with CAD models, scanning objects and installing a 3D printer for multifunctional details and prototypes production. The classes will be supplemented with multidisciplinary examples of additive manufacturing applications. During the second and third phases of the School the participants will work on the cross-disciplinary projects in collaboration with students from Smart Cities and Applied Computer Science streams.

Computational Neuroscience

CNS stream will be focused on the computational aspects of the field. The program will provide insight into a broad range of topics, including neuromechanics of movement control, dynamical neuron systems, neuroimaging, neuron-computer and brain-computer interfaces. The CNS stream program aims to provide participants with an introductory review of the contemporary computational neuroscience field and to give a practical introduction to the principles of analysis and simulation packages.

Applied Computer Science

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. The ACS program will include classes on data retrieval, pre-processing and storage, data mining and machine learning techniques. The practical project topics will incorporate, among others, visual data analysis, natural language processing, social data analysis etc.

Lecturers are the scientists from well-known universities from all over the world and the leading specialists of the world's largest companies. The participants of the Summer School will be given the opportunity to find out today what the rest of the world will know only tomorrow.

Project fair

To distribute students among projects a project fair will be organised on August 7. Prior to this day student coordinators of your stream will ask you to estimate your skills that are relevant for the project work through filling in the skills’ forms. The project fair will start with short project presentations made by project supervisors and/or their associates joined by brief Q&A sessions. After that each student will have to submit their preferences, selecting several projects of their interest sorted by priority. After the voting is over program team together with supervisors and stream coordinators will perform matching procedure during which each student will be assigned to a project.

Poster session

The participants of the Summer School have an opportunity to participate in the poster session and present the results of their research. Topics are not limited to the participant stream area yet should remain within general AACIMP scope. Accepted Summer School participants are invited to submit an abstract till June 20.

Additional 2 ECTS will be granted for participation in the poster session.