computer
systems and
networks
information systems
13
The module
computer
systems and
networks
ПД
PKSP3308.1
design client-server
applications
3
6
14
The module
computer
systems and
networks
ПД
IMG3308.2
Internet marketing
3
6
15
Module of
Economics and
statistics
БД
EMM3218
Economic-
mathematical methods
3
6
16
Module of
Economics and
statistics
БД
SA 3218.1
Statistical Analysis
3
6
17
Module of
Economics and
statistics
БД
VvO3218.2
Introduction to Oracle
3
6
18
Module design
and computer
graphics
БД
DIS3219
Design of information
systems
3
6
19
Module design
and computer
graphics
БД
PNYaCSh321
9.1
Programming in the C# 3
6
20
Module design
and computer
graphics
БД
PNYaCSh321
9.2
Programming in the
Python
3
6
21
Module System
Software
БД
PLJ3305
Programming in Java
3
6
22
Module System
Software
БД
IP3305.1
Internet programming
3
6
23
Module System
Software
БД
TBA3305.2
Theory of business
analytics
3
6
24
Module System
Software
ПД
3.3.7
SPO3216
System Software
3
6
25
Module System
Software
ПД
3.3.7.1
OSL3216.1
Linux Operating
System
3
6
26
Module System
Software
ПД
3.3.7.1
OS3216.2
Operating Systems
3
6
MOII33304 Mathematical Foundations of artificial intelligence, 3 credits
Prerequisites: "Databases IP", "Informatics", "algorithms, data structures and programming"
The purpose of the study: the study of the principles of constructing artificial intelligence systems,
the study of mathematical methods in neural networks, evolutionary computation, and
immunocomputing.
Summary: The history of the development of artificial intelligence. Data and knowledge. Tasks
and areas of artificial intelligence. Block diagram of the system of artificial intelligence. Artificial
neural networks. Mathematical methods in neural networks. Evolutionary computation.
Immunocomputing. Mathematical Methods in immunocomputing. Methods of analysis of multi-
dimensional
data
structures.
Expected results: knowledge of methods of constructing artificial intelligence systems,
mathematical methods in neural networks, evolutionary computation, immunocomputing.
Post requisites: "Design of Information Systems", "service-oriented information systems"
MLES3304.1Mathematical logic in expert systems, 3 credit
Prerequisites: Discipline "Mathematical logic and theory of algorithms" is based on these
disciplines, decision theory, Mathematical Foundations of Artificial Intelligence, Computational
methods in business applications.
The purpose of the study: the development of the discipline is the formation presentation about the
basics of mathematical logic and the development of the ability to apply theoretical knowledge to
the solution of pressing practical problems.
Summary: The discipline "Mathematical logic and theory of algorithms" includes such sections as
propositional algebra, propositional calculus, predicate logic, predicate calculus, elements of the
theory
of
algorithms.
Expected results: able to apply the methods of analysis of the application area on the conceptual,
logical, mathematical and algorithmic levels, willingness to use the basic laws of natural sciences in
professional activities, apply methods of mathematical analysis and modeling, theoretical and
experimental
research.
Post requisites: Basics of computer modeling, management information projects, simulation.
MLES3304.1 Mathematical logic in expert systems, 3 credits
Course description - Architecture expert systems. Knowledge and its representation. The basic
model of knowledge representation. Logic models of knowledge representation. Mathematical logic
to
process
knowledge.
The
main
stages
of
building
expert
systems.
Prerequisites: "Databases IP", "Informatics", "algorithms, data structures and programming"
The purpose of the study - the study of the construction of expert systems principles, the study of
knowledge
representation
models
and
inference
methods.
Summary: Trends in the development, design principles and the application of expert systems. The
architecture of expert systems. Knowledge and its representation. knowledge structure in the
knowledge base. The organization of knowledge in the knowledge base. Basic knowledge
representation model - logical model, production model, frame model, the model of the semantic
web. Logic models of knowledge representation. Mathematical logic to process knowledge. The
main
stages
of
building
expert
systems.
Examples
of
expert
systems.
Expected results: Knowledge on the methods of construction of expert systems, models of
knowledge
representation
and
knowledge
processing
methods.
Post requisites: "Design of Information Systems", "service-oriented information systems"
OTU3214 Fundamentals of control theory, 3 credits
Prerequisites: Algorithms, data structures and programming, Fundamentals of Information
Systems
The purpose of the study: The purpose of teaching the subject "Fundamentals of Systems
Engineering" is the study of the foundations of automation at the present stage of technological
progress. Communication Informatics and Management; the general principles of system
organization. Basic concepts and definitions. The object and the control system. The content
production management tasks; goals and quality control criteria. Functional diagram of the ACS.
One option ACS classification. Examples of information and control systems.
Summary: General principles of system organization. The content production management tasks.
Methods and system devices. The basic principles and laws of the ACS. Typical dynamic links of
ACS. Functions conversion systems. Algebra structural transformation. Image SAU by the spatial
conditions. Linearization equations. Time and frequency characteristics of typical units and their
construction. Algebraic stability criteria Hurwitz, Lienard-Shepherd and Routh. Frequency stability
criteria Mikhailov and Nyquist. The logarithmic criteria. Controllability and observability of the
