Specialization Details
Computer Networks
Abbreviation: NNET
Acad. year: 2024/2025
Length of Study: 2 years
Min. Credits: 120
Degree Programme: Information Technology and Artificial Intelligence
Language of Instruction: Czech
Form of Study: full-time
Accredited from: 2019 Accredited till: 2029
Students will understand all the layers of the computer based systems including hardware (semiconductor components, logic networks, processors, peripheral devices), software (control and data structures, object orientation, programming languages, compilers, operating systems, databases), as well as their common applications (information systems, computer networks, artificial intelligence, computer graphics and multimedia). They will understand foundations of computer science (discrete mathematics, formal languages and their models, spectral analysis of signals, modelling and simulation). Graduates will be able to analyse, design, implement, test, and maintain common computer applications. They will be able to work efficiently in teams.
State Exam in Information Technology and Artificial Intelligence, specialization Computer Networks consists of:
- presentation and defense of diploma thesis,
- oral exam, which combines the basic themes contained in the subjects of Information Technology and Artificial Intelligence profile (Theoretical Computer Science, Statistics and Probability, Computer Systems Architectures, Artificial Intelligence, and Machine Learning, Data Storage and Preparation, Functional and Logic Programming, Parallel and distributed algorithms, Modern trends of informatics),
- oral exam, which brings together the basic themes contained in the profile of Computer Networks (Data transmission, computer networks and protocols, Distributed Application Environment, Internet Applications, Cryptography, Wireless and Mobile Networks, Graph Algorithms).
All parts of the State Examination take place on the same date before the State Examination Board. The state exam can be taken by a student who has obtained the required number of credits in the prescribed composition necessary for the successful completion of the master's degree and submitted the diploma thesis in due time. The organization and course of the state examination are given by the corresponding internal standard of the faculty and by the relevant instructions of the program guarantor for the state exams.
- Network Traces Analysis Using Apache Spark
- IoT Traffic Generation and Detection of Security Incidents
- Forensic Analysis of Cryptocurrency Mining Servers
- Privacy-Preserving Web Browser Extension
- Automation of DDoS Attack Mitigation
Master's theses are stored at the FIT library, Božetěchova 2, Brno. The list of the master's theses, including the details is available at:
https://www-dev.fit.vutbr.cz/study/theses/
Choose academic year and curriculum
Go to recommended course compositions
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
AVS | Computation Systems Architectures | 5 | C | Cr+Ex | FIT |
MSP | Statistics and Probability | 6 | C | Cr+Ex | FIT |
SUI | Artificial Intelligence and Machine Learning | 5 | C | Ex | FIT |
TIN | Theoretical Computer Science | 7 | C | Cr+Ex | FIT |
UPA | Data Storage and Preparation | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
FLP | Functional and Logic Programming | 5 | C | Cr+Ex | FIT |
PRL | Parallel and Distributed Algorithms | 5 | C | Cr+Ex | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
SEP | Semester Project | 5 | C | ClCr | FIT |
PP2 | Project Practice 2 | 5 | E | ClCr | FIT |
Abbrv | Title | Cred | Duty | Compl | Fa |
---|---|---|---|---|---|
DIP | Master's Thesis | 13 | C | Cr | FIT |
Duty: C - compulsory, CEx - compulsory-elective group x, R - recommended, E - elective
Recommended course compositions
Computer network design and administration
If you are interested in classical networking, then you can choose courses focused on the design and monitoring of networks, or the development of network applications.
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Statistics and Probability
- Theoretical Computer Science
- Design and Security of Enterprise Networks
1st year of study, summer semester
- Cryptography
- Data Communications, Computer Networks and Protocols
- Functional and Logic Programming
- Internet Applications
- Modern Trends in Informatics (in English)
- Parallel and Distributed Algorithms
2nd year of study, winter semester
- Distributed Application Environment
- Graph Algorithms
- Semester Project
- Wireless and Mobile Networks
- CCNP Enterprise: Core Networking (ENCOR)
- Radio Communication
2nd year of study, summer semester
Security in computer networks
If you are interested in cybersecurity, you can supplement your knowledge in elective courses that address current issues in the security of computer communications and systems.
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Distributed Application Environment
- Statistics and Probability
- Theoretical Computer Science
1st year of study, summer semester
- Cryptography
- Data Communications, Computer Networks and Protocols
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- CCNA Cybersecurity Operations (in English)
- Projecting, Administration and Security
2nd year of study, winter semester
- Graph Algorithms
- Semester Project
- Wireless and Mobile Networks
- Information System Security
- Knowledge Discovery in Databases
- Secure Coding