This page contains the work programs of academic disciplines (WSD) of all disciplines of the master's educational program. Click on the file to view or download the PDF.
1st year
Term 1
Compulsory components
OK.01: Methodology and organization of scientific research with the basics of intellectual property — 3 credits
EC.02: Professional and Corporate Ethics — 3 credits
EC.04: Principles, methods of linking data in Semantic Web applications — 6 credits
OK.05: Multithreaded and Distributed programming (taught in English) — 6 credits
OK.07: Methods and technologies of high-performance computing — 6 credits
OK.08: Blockchain technology — 6 credits
Term 2
Compulsory components
OK.03: Multimedia processing algorithm — 6 credits
OK.06: Cloud computing and it's reliability — 6 credits
EC 11: Programming of big data processing — 6 credits
EC 12: Embedded programming — 6 credits
EC 13: Software development and lifecycle support tools — 4 credits
EC 15: Term paper — 2 credits
2nd year
Term 3
Selective unit 1. Programming of intelligent systems
DWS.1.01: Methods of analysis of big data and consolidated information — 5 credits
DWS.1.02: Modern databases — 5 credits
Internal combustion engine.1.03: Data mining software technologies — 5 credits
Internal combustion engine.1.04: Machine learning software technologies — 5 credits
Selective unit 2: Computer vision programming
Ice.2.01: Software processing of signals and images — 5 credits
Internal combustion engine.2.02: Neural networks in computer vision systems — 5 credits
Internal combustion engine.2.03: Computer vision software technologies — 5 credits
Ice.2.04: Applied Deep Learning — 5 credits
Selective block 3: Quantum programming
Ice.3.01: Fundamentals of Quantum Mechanics — 5 credits
Ice 3.02: Quantum Computational Theory and Algorithms — 5 credits
Ice.3.03: Programming of quantum computers — 5 credits
Ice.3.04: Quantum Machine Learning — 5 credits
Disciplines of free choice from the lists
The applicant chooses one discipline from each list.