5B070300 – Information systems
(Bachelor)
____4 course __
№ Module name
Discipline
cycle
Code of
discipline
Name of discipline
Amount
of credits
Sem
ester
4 kurs
1
Modeling and
development of
IS
БД
OKM4220
Basis of computer
modeling
3
7
2
БД
IM4220.1
Imitating modeling
3
7
3
Modern
technologies of
design of IS
БД
IT335
Information
Technology
3
7
4
БД
IT335.1
Information theory
3
7
5
Modeling and
development of
IS
БД
PSIS4222
Software of
information systems
3
7
6
БД
KTNP4222.1
Computer technologies
in science and
production
3
7
7
Modern
technologies of
design of IS
ПД
PIS4310
Designing of
information systems
3
7
8
ПД
MIP4310.1
Management in
information projects
3
7
9
Modeling and
development of
IS
ПД
NIS4311
Reliability of
information systems
3
7
10
ПД
MOI4311.1
Information processing
Methods
3
7
11
Web
of
technology
ПД
WT4309
WEB Technology
3
7
12
ПД
SOIS4309.1
Service-oriented
information systems
3
7
OKM4220, Basis of computer modeling, 3 credits
Prerequisites: "Probability theory and mathematical statistics", "The mathematical analysis",
"Mathematical fundamentals of informatics"
Studying purpose: The purpose of teaching discipline "Bases computer modeling" is development
of the theory, methods and technology of modeling in case of research, designing and use of
computer systems of information processing and management (CSIPM).
Summary: Modeling of random numbers. Modeling of accidental events. Modeling of continuous
random variables. Modeling of special continuous distributions. Modeling of discrete random
variables. Modeling of multidimensional random variables with analytically and nonconventionally
set distribution laws. Modeling of multidimensional random variables according to accidental
characteristics. Modeling of accidental processes. Modeling of ordinary flows of events. Modeling
of extraordinary flows of events. Identification of accidental regularities. Modeling of systems of
mass servicing with expectation. Modeling of systems of mass servicing with priorities. Modeling
of inventory management systems.
The expected results: As a result of studying of discipline students shall:
– to know standard classes of models and methods of modeling of difficult systems, the Monte
Carlo method device, the principles of creation of models of processes of functioning of difficult
systems, methods of formalization and algorithmization;
– to be able to use system approach in case of research, designing and operation of CSIPM, to
develop the modeling algorithms and to realize them with use of algorithmic languages and packets
of application programs of modeling, to automate process of designing using databases of
modeling;
– to have skills of development of simulation models of standard processes and systems of
information processing and management.
Post requisites: The acquired knowledge and skills will be used by students in case of degree
designing.
IM4220.1, Imitating modeling, 3 credits
Prerequisites: "Probability theory and mathematical statistics", "The mathematical analysis",
"Mathematical fundamentals of informatics"
Studying purpose: The purpose of teaching discipline "Imitating modeling" is development of the
theory, methods and technology of modeling in case of research, designing and use of computer
systems of information processing and management (CSIPM).
Summary: Modeling of random numbers. Modeling of accidental events. Modeling of continuous
random variables. Modeling of special continuous distributions. Modeling of discrete random
variables. Modeling of multidimensional random variables with analytically and nonconventionally
set distribution laws. Modeling of multidimensional random variables according to accidental
characteristics. Modeling of accidental processes. Modeling of ordinary flows of events. Modeling
of extraordinary flows of events. Identification of accidental regularities. Modeling of systems of
mass servicing with expectation. Modeling of systems of mass servicing with priorities. Modeling
of inventory management systems.
The expected results: As a result of studying of discipline students shall:
– to know standard classes of models and methods of modeling of difficult systems, the Monte
Carlo method device, the principles of creation of models of processes of functioning of difficult
systems, methods of formalization and algorithmization;
– to be able to use system approach in case of research, designing and operation of CSIPM, to
develop the modeling algorithms and to realize them with use of algorithmic languages and packets
of application programs of modeling, to automate process of designing using databases of
modeling;
– to have skills of development of simulation models of standard processes and systems of
information processing and management.
Post requisites: The acquired knowledge and skills will be used by students in case of degree
designing.
IT335 Information Technology, 3 credits
Prerequisites:
"Computer
Science"
and
"algorithmic
and
programming
languages."
The purpose of the study: The aim of teaching is the study of the basic concepts, principles and
methods
of
construction
of
information
technology
(IT).
Summary: Computerization of society and information technology. Computerization of the society.
The social and economic objectives of Computerization. The concept of information technology.
Stages of development of information technologies. Information technology and information
systems. Components of information technology. IT example. Tools of information technology.
New information technology. Information technology as a system. Classification of information
technology. Types of information technology. Information systems and business reengineering. The
concept of a corporate information system and its functions. Stages of construction of corporate
information systems. The types of data applications. Review ways to build information applications.
The concept of business reengineering. Business - processes and their reconstruction. The new
system design of business processes. The interaction of business structures and information
technology.
Cyber
corporation
scheme.
New
trends
in
information
technology.
Expected results:
