elektronická verzia publikácie - FIIT STU

Annual report 2011 69logic analyzers, in-circuit emulators, Intel Atom and PXA based embeddedsystem development kits) necessary for practical teaching.VLSI Design LaboratoryManager: J. HudecContact:jan.hudec@stuba.skDescription: The VLSI design laboratory is predefined for teaching of programmablelogic devices in graduate study of Computer and Communicationsystems and networks, orientation in Computer engineering. The studentsare targeted for proving practical and theoretical skills. They areinvolved in design, implementation and verification of applications forprogrammable logic and gate arrays. The laboratory is equipped withcomputers with internet connection and other hardware and softwarecomponents and tools (XILINX ISE WebPack, MODELSIM) for programmablecircuits CPLD and FPGA practical teaching.Digital Systems Description and Design LaboratoryManager: K. JelemenskáContact:katarina.jelemenska@stuba.skDescription: The research and teaching laboratory is predefined for teaching digitalsystem description to undergraduates and digital systems design, testing,diagnostics and reliability and reconfigurable digital systems tograduates in the study programme Computer and Communication systemsand networks. Students are to prove their practical and theoreticalskills. They are involved in design, description, implementationand verification of small to medium digital systems. Laboratory isequipped with Internet connected computers, RC10 FPGA boards andnecessary software tools to gain practical skills in the area of digitalsystems design – FPGA Advantage and DK Design Suite.Mobile Computing LaboratoryManager: I. Kotuliak (UPSS), V. Vranić (UISI), M. Čerňanský (UAPI)Contact:ivan.kotuliak@stuba.skDescription: The main purpose of the laboratory is to support research and teachingprocess related to mobile computing. Laboratory supports researchand student projects from multiple domains that can greatly benefitfrom mobile computing technology such as computer vision, computergraphics, machine learning and augmented reality. Currently the laboratoryequipment consists of several iOS mobile phone and tabletPC devices (Apple iPhone, Apple iPad) and computers used for developmentapplications for mobile devices. In near future laboratorywill be equipped with devices running Android (Google), Symbian OS(Nokia) and eventually other major mobile computing platforms(Windows Phone 7, RIM Blackberry, Samsung Bada).