Curriculum – Information Systems and Technologies
The field of knowledge 12 “Information Technologies”
Speciality: Information Systems and Technologies (126)
1 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Computer architecture | 32 | 32 | – | 2:2 | Exam |
Discrete Mathematics | 32 | 32 | – | 2:2 | Exam |
Programming | 32 | 32 | – | 2:2 | Exam |
2 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Algorithms and data structures | 32 | 32 | – | 2:2 | Exam |
IT Project Management (Software Engineering) | 32 | 32 | – | 2:2 | Exam |
Object-Oriented Programming | 32 | 32 | – | 2:2 | Exam |
3 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Artificial intelligence systems | 32 | 32 | – | 2:2 | Setoff |
Data and knowledge bases | 32 | – | – | 2:0 | Exam |
Digital information processing | 32 | 32 | – | 2:2 | Exam |
Operating systems and system programming | 32 | 32 | – | 2:2 | Setoff |
4 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Computer information networks | 32 | 32 | – | 2:2 | Exam |
Continuous deployment of computer systems | 32 | 32 | – | 2:2 | Setoff |
Data processing systems | 32 | 32 | – | 2:2 | Setoff |
5 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Basics of the parallel and distributed computing | 32 | 32 | – | 2:2 | Exam |
Machine Learning Systems | 32 | 32 | – | 2:2 | Setoff |
Natural language processing | 32 | 32 | – | 2:2 | Exam |
Discipline for choice 1:Embedded and Mobile Operating Systems Java programming |
32 | 32 | – | 2:2 | Setoff |
6 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Automatic Control Theory | 32 | 32 | – | 2:2 | Setoff |
Information Security Technologies | 32 | 32 | – | 2:2 | Exam |
Mobile development | 32 | 32 | – | 2:2 | Exam |
Modern programming paradigms | 32 | 32 | – | 2:2 | Exam |
Discipline for choice 1:Big data Professional Python Sensors and actuators |
32 | 32 | – | 2:2 | Setoff |
7 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Automatic Control Theory | 32 | 32 | – | 2:2 | Setoff |
Decision theory | 32 | 32 | – | 2:2 | Exam |
IoT Platforms | 32 | 32 | – | 2:2 | Exam |
Machine learning | 32 | 32 | – | 2:2 | Setoff |
Pattern recognition | 32 | 32 | – | 2:2 | Exam |
Game theory | 32 | – | – | 2:0 | Setoff |
Discipline for choice 1:Circuit Design (Printed Circuit Boards) Data visualisation Fuzzy Logic Systems |
32 | 32 | – | 2:2 | Setoff |
Discipline for choice 2:Image processing Internet of Things design JavaScript programming language |
32 | 32 | – | 2:2 | Setoff |
Mobile information systems | 32 | 32 | – | 2:2 | Setoff |
8 semester
Subject | Lectures | Lab. | Pract. | For a week | Reporting |
---|---|---|---|---|---|
Software Quality Control | 32 | 32 | – | 2:2 | Setoff |
Discipline for choice 1:Design and reliability of the Internet of Things Fundamentals of Robotics Robotics |
32 | 32 | – | 2:2 | Setoff |