Syllabuses of selective courses of the first (bachelor) level of higher education

for specialties

121 Software engineering

123 Computer engineering

Cycle of professional training

Disciplines of the D-catalogue of the Computer Engineering department


AGILE software development methodology

Introduction to Data Science technology

User interface programming technologies (Front-end)

Server software development technologies (Back-end)

C/Embedded programming technologies

Introduction to artificial intelligence

Graphic and geometric modeling and creation of realistic images

Fundamentals of software development on the Node.JS platform

Fundamentals of software development on the Java platform

Development of system programs

FPGA Programming Technologies

Program and data security systems

Computer Vision Technologies

Python programming technologies

Distributed information systems

Parallel and distributed computing

Management of IT infrastructure projects

Digital signal processing

Mobile computer networks

Basics of computer modeling

System programming in the Unix environment

Computer aided design of computer systems

Testing and quality control (QA) of embedded systems

Methodology and organization of scientific research

Design and Implementation of Operating Systems

Intelligent (Real Time) embedded systems

Basics of data science

Statistical methods of machine learning

Network programming in the Unix environment

Modern software development technologies

Java programming language (Information Systems and Technologies Department)

Data analysis using the Python language (Information Systems and Technologies Department)

Methods and technologies of Artificial Intelligence (Information Systems and Technologies Department)

Software tools for designing and implementing neural network systems (Information Systems and Technologies Department)

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