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Контакты

Адрес: 109028, г. Москва, Покровский бульвар, д. 11

Телефон: +7(495) 772-95-90 *28240

Руководство
Научный руководитель направления “Программная инженерия" Аветисян Арутюн Ишханович
Руководитель департамента Лебедев Сергей Аркадьевич
Заместитель руководителя департамента Шершаков Сергей Андреевич
Книга
Computer Networks

Rodriges Zalipynis R. A.

St. Petersburg: Naukoemkie Technologii, 2024.

Статья
Типология результатов сотрудничества российских вузов с бизнесом

Меликян А. В.

Высшее образование в России. 2024. Т. 33. № 11. С. 108-131.

Глава в книге
Interactive Research Toolbox for Chemical Compounds Analysis Based on Well-interpretable ML Methods

Neznanov A., Kuznetsov S., Glushko A. et al.

In bk.: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers. Vol. 2086: Communications in Computer and Information Science. Springer, 2024.

Разработка геоприложений (на английском языке)

Geoapplications development


This course gives programming experience with geospatial data as well as related theory and algorithms. We will use Java and JavaScript to work with diverse libraries, spatial databases and servers to store, process, visualize and exchange geodata. The course is beneficial for any modern software developer due to explosive growth in popularity of geo-aware applications and services.

The knowledge from this course is greatly important in a broad range of industries operating with geodata:
— environmental monitoring
— transportation
— urban planning
— agriculture
— insurance
— real estate sector
and many other practically important fields.

Examples include: Apple, Roscosmos, Forest Watch, Planet, Croc, DigitalGlobe, ESRI, Carto, and many others.

The course covers topics from a complete stack of geospatial technologies, including:
— fundamentals: coordinate systems, cartographic projections, industry standards, GPS, geocoding, geohash algorithm, vector and raster data types and operations
— I/O with vector KML, GeoJSON (doc1, doc2), WKT and raster GeoTIFF, NetCDF, HDF formats
— network protocols for geodata exchange: WCS, WFS, WMS, OPeNDAP
— frameworks: Mina, Netty that is used by Twitter, Yandex, Facebook, RedHat, and other companies
— spatial databases and servers: PostGIS, RasDaMan, GeoServer, TDS
— software libraries for geodata processing: vector GeoTools, Java Topology Suite and raster ImageMagic, GDAL
— processing Landsat and Terra satellite imagery (tiling, pyramid, color enhancement)
— visualizing geodata with NASA WorldWind, Leaflet.js, Mapbox

Prerequisites: confident programming skills in Java. Please, be ready for programming assignments and reserve disk space on your laptop/home PC (approx. 5 GB) for data and software that will be used during the course.

The course site rgeo.wikience.org contains for the previous year (2017, fall) all code, geodata, PowerPoint slides, exam questions, data surveys, links to software, and the syllabus.