The field is focused on creating applications in IT, both software and hardware. The graduate of this field should be able to design microprocessor (IoT) applications using hardware and software co-design (HW/SW co-design), but also data-intensive and mobile applications towards information systems. In addition, the field also deals with computationally intensive applications, especially artificial intelligence.
Information technology moves the world
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79 %
students gain practical experience
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98 %
students successfully pass the State Final Examination
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99 %
graduates find work in the month
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40 938 Kč
is the average starting salary for graduates
1st Year
Compulsory Programme Courses - Winter
Compulsory Programme Courses - Summer
The common basis of the programme
The common core of the program consists of courses that will give you the knowledge important for all IT engineers:
- Computation Systems Architectures will teach you how to think about how your code will run on modern computing platforms, how to think about programming in a way that makes the most efficient use of resources, i.e., that your application makes the best use of the power of modern platforms, makes efficient use of system memory resources, and is also efficient in terms of energy consumed.
- Functional and Logic Programming will teach you that although classical imperative programming is a very widely used paradigm and is very close to machine-level implementation, there are other approaches that will give you a new perspective on some key problems and help you get novel and often more efficient solutions to them.
- Modern Trends in Informatics (in English) you need to know to see where the field is going and what to expect in practice in a few years.
- Parallel and Distributed Algorithms is a course that will show you the patterns, limits, and pitfalls of parallel and distributed algorithmic solutions and the associated synchronization mechanisms, without which you will hardly succeed in solving many of the more complex problems.
- Statistics and probability is the right hand of every engineer to process numerical results of experiments or data obtained while running your application, analyze them and learn from them to make further decisions is almost his daily bread.
- Theoretical Computer Science shows the limits of computer science capabilities through formal languages and mathematical models of computation. This is the only way to understand whether your problem is even solvable and, if so, with what resources and means to prove it.
- Data Storage and Preparation, especially big data, and extracting knowledge from it is a valuable art to any computer scientist. It is a key aspect that strongly influences the effectiveness of many solutions and applications.
- Artificial Intelligence and Machine Learning is a course where you will learn how to teach computers to understand our world and make them solve problems that are easy for humans but difficult for an algorithmic machine to handle.
Recommended course compositions
Artificial intelligence application
Design of applications which need an implementation of artificial intelligence algorithms
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Statistics and Probability
- Theoretical Computer Science
- Intelligent Systems
1st year of study, summer semester
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- Applied Evolutionary Algorithms
- Convolutional Neural Networks
- Machine Learning and Recognition
- Secure Hardware Devices
2nd year of study, winter semester
- Application Development for Mobile Devices (in English)
- Distributed Application Environment
- Information Systems Analysis and Design
- Semester Project
- Knowledge Discovery in Databases
2nd year of study, summer semester
Data applications and information systems
Orientation to data manipulation and especially to information systems design
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Information Systems Analysis and Design
- Statistics and Probability
- Theoretical Computer Science
1st year of study, summer semester
- Design of Embedded Systems
- Functional and Logic Programming
- Internet Applications
- Modern Trends in Informatics (in English)
- Parallel and Distributed Algorithms
- Blockchain and Decentralized Applications
2nd year of study, winter semester
- Application Development for Mobile Devices (in English)
- Distributed Application Environment
- Semester Project
- Advanced Database Systems
- Fundamentals of Law
- Information System Security
2nd year of study, summer semester
Hardware-software application co-design
Design of application, in which a functionality is divided between specialized hardware and co-operated software, i.e. specialized application of IoT, automotive, home devices, mobile fones, etc.
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Statistics and Probability
- Theoretical Computer Science
1st year of study, summer semester
- Design of Embedded Systems
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- User Experience and Design of User Interfaces and Services (in English)
- Principles and Design of IoT
- Secure Hardware Devices
2nd year of study, winter semester
- Application Development for Mobile Devices (in English)
- Distributed Application Environment
- Information Systems Analysis and Design
- Semester Project
- Hardware/Software Codesign
- Sensors and Measurement
2nd year of study, summer semester
Multimedial applications
Audio and video application for different purposes (speech recognition, face recognition, etc.)
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Information Systems Analysis and Design
- Statistics and Probability
- Theoretical Computer Science
- Computer Graphics
- Computer Vision (in English)
- Graphical and Sound Interfaces and Standards
1st year of study, summer semester
- Design of Embedded Systems
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- Image Processing
2nd year of study, winter semester
- Application Development for Mobile Devices (in English)
- Distributed Application Environment
- Semester Project
- Sensors and Measurement
2nd year of study, summer semester
They will pass on all their knowledge and hold you in difficult moments
Prof. Ing.
Hruška Tomáš
CSc.
Doc. Ing.
Zbořil František
Ph.D.
His research is focused on implementation and development of intelligent distributed and multiagent systems. He made some systems that combines multiagent paradigmas with PetriNets and he also did some research in application of agent programming in wireless sensor networks. Recently he also works on models for genealogy and social structures.
What are we talking about?
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The technology developed at FIT BUT within the TENACITy (Travel Intelligence Against Crime and Terrorism) project helps security forces in the European Union to securely transfer information about passengers travelling through international airports. …
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Voice deepfakes can't be detected by humans or security systems. Attacks on the rise
Spreading alarm messages or disclosing confidential company or bank data. Artificial intelligence is developing rapidly and almost anyone can create deepfake voice recordings at home and in high quality. …
Come to FIT!
Other Master
Specializations
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Application Development
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Bioinformatics and Biocomputing
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Computer Graphics and Interaction
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Computer Networks
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Computer Vision
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Cyberphysical Systems
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Cybersecurity
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Embedded Systems
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High Performance Computing
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Information Systems and Databases
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Intelligent Devices
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Intelligent Systems
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Machine Learning
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Mathematical Methods
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Software Engineering
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Software Verification and Testing
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Sound, Speech and Natural Language Processing