Computer Engineering Laboratory
Embedded Systems Laboratory
Students learn microcontroller programming and build practical digital systems through hands-on experimentation.
Vamp 257 relay
Vmac 6BA3 relay
MEGGER DDA201
TG315 Function Generator
TeleSyn FS708
Telecommunication Engineering Laboratory
Networking and communication systems
Students learn networking, communication systems, and secure configurations through hands-on work with real devices and servers.
Cisco Catalyst 2960 PLUS
CentreCom MR820TR
Fluke DTX1800 (OTDR)
TekRanger 2 TFS303
RS232 + Analyzer
SPACE DATA LABORATORY
Exploring space data and digital technologies
The Space Data Laboratory focuses on the use and analysis of data related to space and satellite-based applications. It provides an environment for research, learning, and development involving space data and digital technologies.
Space and satellite data
Research and development of data-driven solutions
Data processing and analysis
Digital applications using space data
Kontaktperson:
Jaakko Yliaho (UVa)
Email: jaakko.yliaho@uwasa.fi
Phone: +358 294 498 642
MACHINE LEARNING LABORATORY
Developing intelligent data-driven solutions
The Machine Learning Laboratory provides an environment for exploring machine learning, data analysis, and intelligent digital systems. It supports practical learning and development of solutions that use data and computational methods.
Machine learning and artificial intelligence
Data processing and analysis
Development of intelligent systems
Testing and evaluation of ML solutions
WSTAR DATA CENTER
A platform for data and digital research
The WSTAR Data Center supports research and development involving computing infrastructure, data processing, and digital technologies. It provides an environment for working with data-intensive applications and modern computing solutions.
Data processing and computing infrastructure
Data-intensive applications
Digital research and development
Computing and data management
Kontaktperson:
Jaakko Yliaho (UVa)
Email: jaakko.yliaho@uwasa.fi
Phone: +358 294 498 642
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