WHY SHOULD YOU BE FIIT?
THERE ARE SEVERAL REASONS
Expert? Be IT
Technology? Innovate IT
High salary? Earn IT
Expert? Be IT
Career? Get IT
Fun? Have IT
WHAT YOU CAN IMPROVE AT
A few subjects you can study at FIIT STU
Human-computer interaction
The subject deals mainly with the principles of designing user interfaces with regard to their look and usability. You will learn how to create such interfaces and how to present information in an understandable form, how to create quick interface prototypes and how to check their functionality and usability.
Computer graphics principles
The aim of the subject is to provide a basic knowledge of 2D graphics, image processing 3D graphics, lighting and animation with an emphasis on their practical use. You will get practical experience in designing applications using modern graphic cards.
Information security principles
You will learn the basic principles of information security from both technical and managerial points of view. How to find signs of an attack, procedures to recover after an attack or accident, how to design systems with regard to their security, the basics of cryptography and the basic characteristics of malicious codes.
Artificial intelligence
You will learn how to make a computer behave smartly. You will learn how to programme independent agents, neural networks and the basics of machine learning.
Data structures and algorithms
You will learn to design solutions for various programming tasks so that they are quick, smart and have the lowest possible memory demand.
AND, THE MOST IMPORTANT THING
Research areas which we focus on at FIIT STU
Automotive Innovation Lab @ FIIT (AIL)
Focus on Cooperative Connected Automated Mobility (CCAM) and Advanced Driver Assistant Systems (ADAS). In collaboration with the Faculty of Mechanical Engineering of the Slovak University of Technology. FIIT focuses on wireless communication, mobile and satellite networks, SDN and Digital Twin approaches.
Application: V2x, CCAM, Wi-Fi, Internet of Things, 5G ecosystem, LEO satellite mobile networks, Network Functions Virtualization, SDN.
Blockchain and FinTech (BlockFin)
Research on current use-cases, primarily in Applied Informatics, Blockchain and distributed ledger technologies (ledger tech), with a focus on the advancement of technical development and innovation of blockchain and FinTech applications in the real world.
Application: Decentralized Systems; Internet of Things; E-Government; Real Estate Market; Interoperability; Payment Gateways; Anti-Money Laundering
brAInworks – Artificial intelligence and knowledge discovery
The brAInworks project is developing new strategies based on artificial intelligence to predict the progression of human diseases, such as cancer or vision disorders. The goal is to use big data analysis to extract information that can contribute to the establishment of disease diagnostics in developing countries of the world, and in richer ones to accelerate the discovery of new treatments for civilization diseases. Medicine, in which long and expensive laboratory tests are replaced by pure data analysis, is called in silico medicine and it is the medicine that humanity is waiting for in the next decade.
Applications: artificial intelligence, big data, distributed computing, image analysis, statistical modeling
Cyber Security and IoT (CSI)
Creating and collecting tools, strategies, security concepts, security assurances, policies, risk management approaches, actions, training, best practices, and technologies that can be used to protect the cyber environment, organizations, and user assets.
Application: Distributed Systems, Mobile Networks, Cryptography.
Visual Computing and Artificial Intelligence
Interpreting and understanding natural images and other types of visual data using artificial intelligence. Using and interpreting deep neural networks.
Application: Computer vision and graphics; Medical imaging
Intelligent Data and Systems with Applications (IDSA)
The IDSA research group focuses on innovative data and computational intelligence solutions for intelligent systems with an emphasis on privacy and information security. It explores aspects of smart data and software development. The output is responsible artificial intelligence and business impacts. IDSA adapts AIOps and software development for the field of education.
Application: Data Science, Secure Artificial Intelligence
Digital Systems on Chip (DSoC)
The research group focuses on the development of digital integrated circuits implementable in ASICs or FPGAs, with an emphasis on efficiency in terms of chip area, performance, power consumption and reliability of SoCs. It focuses on hardware architectures for accelerating AI and LLM applications and the development of software EDA and IDE tools for efficient chip development.
Application: Hardware Architectures, Software Tool Development