The Library Network connects all of the libraries at the University of Pécs. There are approximately 900,000 books, audio-visual documents and other documents, and 90,000 volumes of journals available for students and professors. This includes major journals, textbooks, CD-ROM databases and literature. Interlibrary loans are also provided from domestic and international libraries, so it is possible to quickly and efficiently find any necessary literature for a wide range of student research interests, both in traditional paper-based forms and digital mediums. In addition, the South Transdanubian Regional Library and Knowledge Centre operates in the city of Pécs, which is available to students in a modern building that is more than 13,000 m2).

University of Pécs Medical School Medical Simulation Education Centre (MediSkillsLab)

The facility is responsible for the acquisition of technical and non-technical skills and abilities during undergraduate and postgraduate medical and health professional training. The MediSkillsLap has several simulators to demonstrate and practice a wide range of skills, from the simplest interventions (e.g. venipuncture or catheter insertion) to complex simulations (e.g. surgical procedures or emergency patient care). The lab includes so-called “basic task trainers”, virtual visualization tools, and high-fidelity patient simulators. The MediSkillsLab is currently located on 350 square meters, and its expansion is scheduled to begin in 2021 with a total area of ​​over 1,600 square meters. During renovations a complete cadaver operating room, a virtual reality laboratory and several other educational units (e.g. a dental simulation unit) will be created for training purposes. The MediSkillsLab in an important practical training location for Biomedical Engineering students at the university.

MediSkillsLab Website

MediSkillsLab Introductory Video

The interdisciplinary research centre is primarily engaged in medical technology developments. A wide variety of 3D printing and visualization technologies are available at the facility. In addition to traditional fused filament fabrication (FFF) desktop apparatus, industrial 3D printers (selective laser sintering - SLS or PolyJet technologies) and dual-extruder machines are also available. Scanning and some other designing stages are also taking place in the 3D Printing and Visualisation Centre. Multidisciplinary teams working at the university participate in research and teaching activities. The institution’s research is mainly related to materials technology, but it also supports other areas like biotechnology and bioprinting. The device and software development portfolio was designed in close collaboration with the Medical School. The 3D Centre is also involved in the development and production of medical devices (e.g. prostheses, exoskeletons) and laboratory devices (e.g. microfluidic systems). Its software development activities primarily cover systems supporting medical and health sciences in higher education. The 3D Centre has been accepting trainees since it opened.

Website of the 3D Printing and Visualization Centre

The Laboratory was primarily designed to support education. The workstations allow students to understand a wide range of electronic design and control processes and to acquire related skills. The primary purpose of this lab is for modelling physiological and biological processes and connecting them to the human-machine interface field. The implementation of small group projects is an important feature of this lab, and therefore workstations can hold a maximum of two students at a time. The laboratory’s equipment can also support relevant research activities related to the field of medical engineering, which is closely related to the field of Biomedical Engineering.

This lab is for acquiring a wide range of materials technology knowledge, which is also closely related to the field of Biomedical Engineering. Dynamic and static material studies can be complete here, and the lab facilitates hands-on practice and training. Both plastics and metals can be tested with the measuring equipment. The Department of Biophysics and the Central Electron Microscope Laboratory are also important partners in the teaching of structural studies.

This laboratory was established in a clinical environment (Department of Neurosurgery and the Clinical Centre), and the work done here is closely related to the field of human-machine science. The laboratory actively supports both teaching and research activities. The lab equipment can analyse healthy and pathological forms of movement, and students can also learn about modern robot-assisted rehabilitation techniques. 

The Faculty of Engineering and Information Technology has eight centrally managed computer laboratories with 26 computers per laboratory. Each laboratory is renovated every two years on average in order to ensure that the computers in the laboratories are always up-to-date and meet stringent software requirements required for the research. Computers can run basic word processing, spreadsheet programs, state-of-the-art design software, development environments, and software packages that support engineering and scientific data processing, modelling, simulation, and visualization. We have licenses for the following state-of-the-art software: AutoCAD 2000 (60 licenses), Autodesk Education Master Suite 2011 (50 licenses), Solidedge ST2 Education, Solidworks, ANSIS, VBExpress, CADKEY, CosmosM 2.8, Vis-Sim, MicroCAP, Revit, LabView 2018, Catia P2 Solution, Maple10 and 11, SPSS, SWI Prolog, NetBeans, Java, Oracle 9i DeveloperSuite, MagicDeveloper, iBolt, UniPaas, Navision, Adobe Web Premium CS4 4.0 (26 licenses), COREL DRAW GRAPHICS SUITE X5 EDU, MS Office, and MS VisualStudio 2010. Computers in the computer labs also run Python (Anaconda Navigator) and Matlab 2019.

CISCO Regional Network Academy

The faculty operates the CISCO Regional Network Academy to acquire network knowledge. Students are taught in a laboratory equipped by CISCO.

National Instruments Measurement Laboratory

In cooperation with the company National Instrument Hungary, a new measurement laboratory was established in 2010. There are four NI-ELVIS II in the laboratory (Educational Laboratory Virtual Instrumentation Suite), a complex tool suitable for measurement, data collection, signal generation, and signal analysis. The lab also includes high-speed A/D cards as well as a video digitizer card with NI VISION software to support machine vision and image processing.

Network laboratory

The special feature of this lab, which was set up with 23 computers in 2010, is that network configurations, topologies and other related settings can be selected optionally, making it excellent for teaching and researching these kind of topics. The laboratory is also an Industrial Ethernet Competence Centre. This was established with the generous support from the Phoenix Contact company, which donated expensive equipment for students to use to learn about industrial Ethernet technology.

Programmable Logic Controllers (PLC) Laboratory

In this laboratory, devices and controlled technologies were installed from KlöcknerMoeller, Siemens, Omron, Mitshubishi, Schneider, and Allen Breadly. Siemens Karlsruhe development centre has installed a PCS 7 process control system in the laboratory. There are 12 computers available for the development of the user program. The design of the laboratory allows room for one or two people but can accommodate maximum of 16 students in total. The process control system communicates with technology via Profibus. The Master devices are also connected to each other via industrial Ethernet and the development system is connected by a wireless system.

UP FEIT HPC laboratory

UP FEIT is a laboratory with high-performance computers, the purpose of which is primarily to support high-performance, parallel calculations. The lab machines are suitable for parallel computing, thus supporting computational tasks in solving engineering and scientific problems (e.g. multiparameter optimization, finite element modelling and simulation, artificial neural networks, etc.). Parallel processing can dramatically reduce the amount of time required for running calculations.