Specialization Details
Application Development
Abbreviation: NADE
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 Application Development consists of the following parts:
- presentation and defense of master's thesis,
- oral exam, which combines the basic themes contained in the subjects 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 Application Development (Information Systems Analysis and Design,Distributed Application Environment, Application Development for Mobile Devices, Modern Trends in Informatics, Design of Embedded Systems, User Experience and Design of User Interfaces and Services, Internet Applications).
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 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 the relevant instructions of the program guarantor for the state exams.
- Instruction set modification for deep neuron net applications
- Development of big-data processing in the OLTP area
- Information System for an economic agenda processing
- Predictive Analysis application in a Industry 4.0. information system
- Mobile Interface of a student portal
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/.en
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
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