Specialization Details
Software Engineering
Abbreviation: NSEN
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 Software Engineering consists of the following parts:
- presentation and defense of master's thesis,
- oral exam, which combines the basic themes contained in the courses profiling the basis of Information Technology and Artificial Intelligence (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 in informatics),
- oral exam, which combines the basic themes contained in the courses profiling the basis of Software Engineering (Analysis of model-based systems, Automated testing and dynamic analysis, Security of information systems, Strategic management of information systems, Project management, Analysis and design of software systems).
All parts of the state examination are held 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 has submitted the master's 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 state examinations.
- Continues Integration Support for Copr Build System
- Modelling and Management of Project Portfolio
- Test Data Generator for Relational Databases
- Mining Anomalous Behaviour in Trajectory Data
- Random Number Generators for Cryptography
- Project Management and Risks Visualization Support Tool
- Automation in Software Application Development Projects
- Simulator of Traffic Infrastructures and Situations
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.fit.vut.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
Software Engineering
Software engineering is the process of analysing user needs, designing, building and testing applications for end users. The aim is to introduce students to the theory, technologies and practices used in the development of information systems (IS) and to teach them how to develop such systems using modern development tools, methods and technologies. Students will also learn about the methodology and techniques of IS development with respect to the current needs of the business sphere and the knowledge areas of project management. In the compulsory courses, students will deepen the knowledge acquired in the Bachelor's studies, especially in the areas of database and information systems, data mining, knowledge extraction from data, artificial intelligence, automated testing and machine learning. Attention is also paid to the security of information systems. By selecting electives, students can further focus on deepening the theoretical foundations of formal specifications or cryptography, or focus more practically on, for example, the creation of web applications and applications in a distributed environment. Thanks to the high-quality theoretical education and a broad universal basis of application-oriented studies, the graduate's high adaptability to many current requirements of his/her future professional practice, including in other areas of information technology, is ensured.
The graduate is oriented in the components and architectures of information systems and can integrate technical and software products in their creation.
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
- Project Management
- Data Communications, Computer Networks and Protocols
- Internet Applications
- Project Manager
2nd year of study, winter semester
- Information System Security
- Information Systems Analysis and Design
- Semester Project
- Strategic Management of Information Systems
- Advanced Database Systems
- Knowledge Discovery in Databases