LABORATORY OF NETWORK AND INTERNET TECHNOLOGIES (LSIT) PEF D326
A specialized computer laboratory for practical teaching and independent work of students focused on network and Internet technologies. It is mainly used in the field of standard teaching (subjects Computer networks, Internet technologies, Web design, Markup languages, E-commerce and business, etc.) and also in specialized courses CISCO CCNA (Cisco Certified Network Associate) – CISCO CCNA R&S 1 to CISCO CCNA R&S 4. The laboratory is also certified within the accredited center CZ 033 for ECDL Core and for ECDL Advanced.
The LSIT laboratory's professional guarantee is provided by the Department of Information Technologies, and its operation is ensured PEF Information Services Center.
AUDIOVISUAL, GRAPHICS AND MOBILE TECHNOLOGIES LABORATORY (LAVGMT) E235
The laboratory is focused on computer graphics, audiovisual data processing and mobile application development. It is mainly used in the field of standard teaching and in specialized courses (e.g. computer graphics, development of applications for mobile devices - Android, etc.). The workplace also enables the support of applied research and independent activities of students (diplomas and doctoral students). Part of the laboratory is a mobile Android classroom, which allows teaching outside your own workplace and outside the ČZU campus.
The laboratory's professional guarantee is provided by the Department of Information Technologies, while operation is provided by the PEF Information Services Center.
LABORATORY FOR THE STUDY OF HUMAN BEHAVIOR / HUMAN BEHAVIOR RESEARCH UNIT (HUBRU)
HUBRU is a specialized workplace of the faculty, which consists of two laboratories - the Collaborative Usability Laboratory and the Virtual Reality Station. The laboratories also include mobile sets for measuring biometric data - eye tracking and biofeedback.
HUBRU is a specialized workplace of the faculty, which consists of two laboratories - the Collaborative Usability Laboratory and the Virtual Reality Station. The laboratories also include mobile sets for measuring biometric data - eye tracking and biofeedback.
ARTIFICIAL INTELLIGENCE AND BIG DATA PROCESSING LABORATORY - PEF E341
- Artificial Intelligence
- Big data processing
- Application testing
The laboratory for big data processing offers modern scale out solutions for storing and processing a large amount of data obtained from data warehouses or sensors from various application areas (DPZ data, social networks, environmental data, meteorological data, economic data, etc.). HW and SW for data storage with more than 100 TB of clean data space, their processing and management of the entire system is located in a separate air-conditioned room. The entire system is able to ensure extreme performance and high availability. SW solution over the entire system for big data analysis enables not only data collection, but very advanced data analysis and their presentation, such as multispectral and hyperspectral data analysis, Linked Open Data, temporal data, texts, satellite and aerial images, sensor data management , data from machines, company data, 2D and 3D visualization, time series visualization, data reporting, etc. The system can be accessed from 7+1 powerful four-processor workstations with specialized SW, which are located in the PEF E341 laboratory.
In addition, specialized SW is installed on these workstations for:
- for numerical calculations and simulation of neural networks (MatLab and Simulink including application libraries),
- universal automated testing of desktop, web, mobile and hybrid applications (Ranorex Studio).
The laboratory's professional guarantee is provided by the Department of Information Technologies in cooperation with the Department of Systems Engineering, the Department of Information Engineering and the Department of Statistics.
Technical operation is provided by the Information Services Center.
Head of the laboratory:Ing. Jan Masner, Ph.D
ARTIFICIAL INTELLIGENCE AND BIG DATA PROCESSING LABORATORY - PEF E333
- GIS Laboratory
- IoT lab
The GIS laboratory enables monitoring, analysis and processing of data in the field of agriculture and the environment, with a focus on the areas of precision agriculture and support for decision-making, design and analysis of measures aimed at streamlining production and environmental protection, including analysis of the long-term development of soil conditions and water management conditions
The laboratory contains a powerful GIS server, seven workstations and the necessary GIS SW, and many additional devices in the form of a large-area digitizer, a large-area A0 scanner, an A0 plotter or hand-held, very accurate GPS mapping devices. Thanks to data in the form of infrastructure maps, administrative units, hydrological maps, land cover maps, elevation maps or digital relief, the implemented GIS solution enables not only the central management of a geographic database, but also, for example, geographic analyzes and processes, the running of interactive web applications or working with map data in the form WPS or publish services in the form of WPS, WCS, WMS and WFS. Additional data for the GIS laboratory is being prepared from the section focused on big data analysis.
The laboratory's equipment also enables the collection of real data for the artificial intelligence laboratory and for the processing of big data and also has single-board computers with accessories, outdoor autonomous and non-autonomous sensors (temperature, pressure, humidity, gyroscopes, etc.), IoT kits for Smart Farming (Libelium Smart Agriculture IoT Vertical Kit), IoT gateways, routers, switches, a top 3D printer (Ultimaker 3) and a soldering station. The laboratory for IoT thus enables both the real deployment of the aforementioned Smart Farming kits, as well as the production and implementation of sensor parts directly according to specific needs.
The laboratory's professional guarantee is provided by the Department of Information Technologies in cooperation with the Department of Systems Engineering, the Department of Information Engineering and the Department of Statistics.
Technical operation is provided by the Information Services Center.
Head of the laboratory: Ing. Michal Stočes, Ph.D.