Traditionally, Computer Networking is an area of computer science and engineering that deals with data communication. However, these days it is more than this. It also covers topics such as security of interconnected systems, design of distributed applications, Internet applications, Cloud, and Internet of Things. The study of Computer Networking includes the necessary information theory and principles and also puts an emphasis on understanding and be able to use modern communication technologies and platforms. When you finish your study, you will have deep knowledge of computer networking, network security, and modern Internet applications.
1st Year
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.
They will pass on all their knowledge and hold you in difficult moments
Doc. Ing.
Ryšavý Ondřej
Ph.D.
Doc. Dr. Ing.
Kolář Dušan
Dušan Kolář is the head of the Department of Information Systems. During your studies, you will meet him in the courses Advanced Database Systems and Functional and Logic Programming. He focuses on formal languages, their processing and reverse translation (eg in FIT/Avast cooperation).
Doc. Ing.
Matoušek Petr
Ph.D., M.A.
Ing.
Veselý Vladimír
Ph.D.
What are we talking about?
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At the Faculty of Information Technology, we are aware that it is impossible to prepare our future graduates for their diverse career paths without contact with industry, which is why we have been building a portfolio of partners for a long time so that the range of focus is broad and at a high professional level. …
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Brushes, paints, palette, canvas - all these are usually considered basic necessities for artistic expression. Designed for all art lovers, regardless of age, the Pollock Artify app offers the opportunity to unleash your creativity with a tool that is always at hand - your mobile phone. …
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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