| 1 |
Mandatory components of the educational program |
| 1.1. General preparation |
| GT 1 |
History and culture of Ukraine |
3 |
Credit |
| GT 2 |
Philosophy |
|
Exam |
| GT 3 |
Fundamentals of economic theory |
3 |
Credit |
| GT 4 |
Foreign language 1-4 7,8 |
12 |
Credit(5),Ex |
| GT 5 |
Mathematical analysis Part 1 |
6 |
Exam |
| GT 6 |
Mathematical analysis Part 2 |
6 |
Exam |
| GT 7 |
Mathematical analysis Part 3 |
5 |
Exam |
| GT 8 |
Analytical geometry |
5 |
Exam |
| GT 9 |
Linear algebra |
4 |
Exam |
| GT 10 |
Physics Part 1 |
3 |
Exam |
| GT 11 |
Physics Part 2 |
3 |
Exam |
| GT 12 |
Jurisprudence |
3 |
Credit |
| GT 13 |
Physical training 1-3 |
8 |
Credit(4) |
| 2.Special (professional) training |
| SP 1 |
Introduction to the specialty and engineering activities |
3 |
Exam |
| SP 2 |
Mathematical logic |
3 |
Credit |
| SP 3 |
Algorithmization and programming |
6 |
Exam |
| SP 4 |
Computer discrete mathematics |
6 |
Exam |
| SP 5 |
Discrete structures and data structures |
6 |
Exam |
| SP 6 |
Probability theory |
5 |
Exam |
| SP 7 |
Objecti-oriented programming |
4 |
Exam |
| SP 8 |
Differential equations and complex analysis |
5 |
Exam |
| SP 9 |
Mathematical statistics |
4 |
Exam |
| SP 10 |
Numerical methods |
4 |
Exam |
| SP 11 |
Theory and design of algorithms |
4 |
Exam |
| SP 12 |
Partial differential equations |
3 |
Credit |
| SP 13 |
Functional analysis |
3 |
Exam |
| SP 14 |
Optimization methods |
4 |
Exam |
| SP 15 |
Computational geometry and computer graphics |
4 |
Exam |
| SP 16 |
Business Ukrainian and professional communication |
3 |
Exam |
| SP 17 |
Management theory |
3 |
Exam |
| SP 18 |
Data and time series analysis |
4 |
Exam |
| SP 19 |
Distributed and parallel computing |
3 |
Exam |
| SP 20 |
Mathematical and computer modeling |
3 |
Exam |
| SP 21 |
Decision-making theory |
3 |
Exam |
| SP 22 |
Neural network technologies |
4 |
Exam |
| SP 23 |
Fundamentals of occupational safety and human health |
3 |
Credit |
| SP 24 |
Machine learning methods and tools |
4 |
Exam |
| SP 25 |
Project 1 |
4 |
Credit |
| SP 26 |
Project 2 |
4 |
Credit |
| SP 27 |
Fuzzy models and methods |
3 |
Exam |
| SPp |
Pre-graduation
practice |
6 |
Credit |
| SP |
Certification |
6 |
Defence |
| SELECTIVE COMPONENTS OF THE EDUCATIONAL PROGRAM (BY BLOCKS) |
| 3 |
Blocks of choice for general training (Minor) |
| 3.1. “Project Analysis an Management” |
| SP 3.1.1 |
Management of IT projects |
3 |
Credit |
| SP 3.1.2 |
Basics of business analytics |
3 |
Credit |
| Block 3.2. “Law and intellectual property” |
| SP 3.2.1 |
Legal Science |
3 |
Credit |
| SP 3.2.1 |
Intellectual property of security systems |
3 |
Credit |
| Block 3.3 “Cybersecurity” |
| SP 3.3.1 |
Information security management |
3 |
Credit |
| SP 3.3.2 |
Basics of cybersecurity |
3 |
Credit |
| 4 |
Blocks of choice of special (professional) training (Major) |
| Block 4.1: “Artificial Intelligence in Data Analysis” |
| SPS 4.1.1 |
Algorithmic languages (optional) |
6 |
Exam |
| SPS 4.1.2 |
Random processes and stochastic systems |
4 |
Exam |
| SPS 4.1.3 |
Databases and information systems |
|
Exam |
| SPS 4.1.4 |
Software development |
|
Credit |
| SPS 4.1.5 |
Project 3 |
6 |
Credit |
| SPS 4.1.6 |
Project 4 |
6 |
Exam |
| SPS 4.1.7 |
Big data infrastructure and management |
4 |
Credit |
| SPS 4.1.8 |
Predictive analysis |
4 |
Exam |
| SPS 4.1.9 |
Processing and analysis of textual information |
4 |
Exam |
| SPS 4.1.10 |
Mathematical methods of computer vision |
5 |
Exam |
| SPS 4.1.11 |
Deep learning methods |
4 |
Exam |
| Block 4.2 “Data analysis in business processes” |
| SPS 4.2.1 |
Algorithmic languages (optional) |
6 |
Exam |
| SPS 4.2.2 |
Analysis of requirements for software systems |
4 |
Exam |
| SPS 4.2.3 |
Databases and information systems
Advance Databases and information systems |
6 |
Exam |
| SPS 4.2.4 |
Models and data visualization |
5 |
Credit |
| SPS 4.2.5 |
Project 3 |
6 |
Credit |
| SPS 4.2.6 |
Systems development life cycle |
4 |
Exam |
| SPS 4.2.7 |
Project 4 |
6 |
Credit |
| SPS 4.2.8 |
Predictive analysis |
4 |
Exam |
| SPS 4.2.9 |
Analysis and manage business processes |
4 |
Exam |
| SPS 4.2.10 |
Financial and actuarial mathematics |
5 |
Credit |
| SPS 4.1.11 |
Risk analysis |
4 |
Exam |
| Block 4.3. “Data analysis in cybersecurity” |
| SPS 4.3.1 |
Algorithmic languages (optional) |
6 |
Exam |
| SPS 4.3.2. |
Foundamentals of cryptology |
4 |
Exam |
| SPS 4.3.3 |
Modeling of socio-cyber-x systems |
6 |
Exam |
| SPS 4.3.4 |
Software development |
5 |
Credit |
| SPS 4.3.5 |
Project 3 |
6 |
Exam |
| SPS 4.3.6 |
Fundamentals of steganographic information protection |
4 |
Credit |
| SPS 4.3.7 |
Project 4 |
6 |
Credit |
| SPS 4.3.8 |
Blockchain: basics and application examples |
4 |
Exam |
| SPS 4.3.9 |
Detect anomalies in data and time series |
4 |
Exam |
| SPS 4.3.10 |
Intrusion detection |
5 |
Exam |
| SPS 4.3.11 |
Machine learning in cybersecurity |
4 |
Exam |
| Total volume of selected components |
60 |
| TOTAL SIZE OF THE EDUCATIONAL PROGRAM |
240 |
