Specialization Details
Intelligent Devices
Abbreviation: NIDE
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 Intelligent Equipment consists of:
- 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 brings together the basic themes contained in the courses profiling the basis of the field of Intelligent Devices (Robotics, Sensors and Measurements, Safe Devices, Physical Optics, Soft Computing, Principles and Design of IoT 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.
- Flight elevation estimation of a dron using various sensors
- Detection of people in room using low-cost thermal imaging camera
- Control of positionable platform for eye centering in image
- Device for monitoring of air quality
- Intelligent system for detection of undesirable gases and smoke in the interior
- Intelligent thermal camera with intruder detection
- Electronic platform of the system for eye retina acquirement
- Determining of dron localization using navigation systems
- Intelligent recognition of the smartphone user's activity
- Virtual gate for counting the passing of persons
- Position estimation in space using accelerometers
- Augmented reality on smartphones
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 |
FYO | Physical Optics | 5 | C | 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
Intelligent devics
The graduate has general knowledge of the theory of intelligent devices and the skills of designing, constructing, and applying these devices with a special focus intelligent sensors and actuator in the context of Internet of Things.
1st year of study, winter semester
- Artificial Intelligence and Machine Learning
- Computation Systems Architectures
- Data Storage and Preparation
- Soft Computing
- Statistics and Probability
- Theoretical Computer Science
1st year of study, summer semester
- Functional and Logic Programming
- Parallel and Distributed Algorithms
- Physical Optics
- Principles and Design of IoT
- Secure Hardware Devices
- Design of Embedded Systems
2nd year of study, winter semester
- Robotics (in English)
- Semester Project
- Sensors and Measurement
- Agents and Multiagent Systems
- Intelligent Systems
- Wireless and Mobile Networks