DISCIPLINE ANNOTATION
“Systems Engineering”
Philosophy
108
3
History of Ukrainian Literature
72
2
Foreign Language
216
6
History of Ukraine
108
3
Ukrainian language (according to the professional
5
108
3
orientation)
Course of Natural Science (Fundamental ) Training Subjects
1 Higher Mathematics
513
14
2 Physics
405
11
3 Discrete Mathematics
162
5
4 Theory of Probability and Mathematical Statistics
162
5
5 Engineering and Computer Graphics
108
3
6 Numerical Analysis
135
4
7 Ecology
54
2
8 Electric and Magnetic Circuit Theory
162
5
9 Metrology and Measurement
108
3
Course of General Vocational and Practical Training
1 APLs and Programming
216
6
2 Object-Oriented Programming
189
5
3 System Programming and Operating Systems
216
6
4 Data Base and Knowledge Organization
162
6
5 Electronics and Microcircuitry
108
3
6 Computer Basics
108
3
7 Computer System Architecture
108
3
8 Economics and Organization of Production
108
3
9 Management
81
2
10 Introduction to Specialty
81
2
11 Information Theory (IT)
108
3
12 Graphic Data and Text Processing
54
2
13 Control Theory
108
3
14 Mathematical Methods of Data Research
144
4
15 Physical Education
378
11
16 Life Safety and Labor Safety
108
3
Selective Subjects
1 System Analysis
126
4
2 Microprocessors and Their Usage
135
4
3 Information Security
162
5
4 Computer Networks
108
3
5 AI Systems
162
5
Exams
1
2
3
4
Hours
Credits
Course of Humanitarian and Socio-Economic Subjects
Credits
ECTS
Division in
Semesters
1-3
3
2
4
1
5
3-4
1,3,4
1
3
4
6
7
1-4
2
2
4
4
5
1
5
6
2
3
6
3
2
4
4
8
1
5
2
5
7
2,6,7
4
5
5
8
6
8
6 Application Software Package
7 Optical Informatics
8 Specialized Programming Languages
162
72
144
5
2
4
2,3
5
7
Optional Subjects
1 Military Training
1
2
3
4
5
6
1044
4
Courses of General Vocational and Practical Training
Mathematical Simulation of Complex Networks
149
4
General Theories of Information Transfer
176
5
Parallel Systems and Calculus
108
3
Components of Complex Computer Network
254
7
Control of Complex Computer Network
243
7
Basis of Complex Computer Networks Exploitation
54
2
7
7
6
8
6,7
7
7
8
8
PHYSICS
Lecturer: Hirka Volodymyr Oleksandrovych, Full Professor
Prior Requirements: Educational Course in Vocational Education Institutes
Aims of the Course: to create students’ scientific point of view on physical processes in the world,
ensure students’ acquisition of the theoretical basis of classical mechanics and molecular physics,
general methods of experimental research of mechanical movement characteristics, let them master
theoretical basis of molecular physics. To teach students principal methods of solving problems in
classical mechanics and molecular physics using fundamental methods of differential and integral
calculus and also basic methods of experimental research of mechanical movement characteristics
and processes in thermodynamic system. To create general and thematic competence in branches of
mechanics and molecular physics.
Task:
1. To form the scientific world view of a specialist in the sphere of computer
science on the basis of theoretical knowledge of mechanic and molecular
physics laws, practical skills in solving problems and bringing about
experimental parameter measurements of mechanical and thermodynamical
processes;
2. Because of a mathematical instrument of above mentioned parts of mechanic
and molecular physics is well developed, their study is very important from the
point of view of consolidation of knowledge of mathematical analysis bases and
vector algebra in practical solution of certain problems that describe mechanical
and thermodynamical processes.
3. To demonstrate the interrelation between laws of mechanics and molecular
physics. This, from the point of broad usage of analog method, is very useful
for studying other parts of classical physics, and also from the point of view of
similarity of mathematical methods that describe physical processes.
Following the completion of the course a student must:
know laws of classical mechanics and molecular physics, be able to use them for solving theoretical
tasks, to use these laws for setting procedures of physical parameters measurement, which
mechanics and molecular physics operate, to explain experimental results, achieved during his/her
laboratory research.
Be able to: measure principle physical parameters during laboratory research.
1. Subject Description: the subject of the discipline is laws of classical mechanics and
molecular physics. This deals with the fact that physics is the main natural science in the
vocational education of a computer science professional, without knowing of which a
conscious and qualitative usage of knowledge in mathematical and merely social computer
disciplines, that are the basis of an education of a future computer science specialist, is
impossible. During the first two semesters two branches of physics are studied: mechanics
and molecular physics, which are fundamental components of classical physics.
2. Assessment Forms: written following the end of thematic modules; current control of
independent work; written reports on laboratory researches; final written test (credit) in the
first semester and written exam in the second semester.
List of Recommended Literature
Basic
1. Савельев И.В. Куpс общей физики (Course of General Physics). - М.: Hаука, 1966. -т.1.
2. Ландау Л.Д., Ахиезеp А.И., Лифшиц Е.М. Механика и молекуляpная физика (Mechanics
and Molecular Physics). -М.: Hаука, 1965.
3. Дущенко В.П., Кучерук І.М. Загальна фізика: Фізичні основи механіки. Молекулярна
фізика і термодинаміка.(General Physics: Physical Basis of Mechanics. Molecular Physics and
Thermodymamics) - К.: Вища школа, 1993.- 431 с.
4. Дутчак Я.Й. Молекулярна фізика. (Molecular Physics) - Видавництво Львівського
університету, 1973. С. 264.
5. Савельев И.В. Сбоpник вопросов и задач по общей физике (Collected Questions and
Problems on General Physics). -М.: Hаука, 1982.
6. Волькенштейн В.С. Сбоpник задач по общему курсу физики (Collected Problems in General
physics). -М.: Hаука, 1985.
7. Иpодов И.Е. Задачи по общей физике (Problems in General Physics). -М.: Hаука, 1988.
8. Гірка В.О., Гірка І.О., Кондратенко А.М., Методичні поради до розв'язання домашніх
завдань з курсу “Фізика” для студентів першого курсу факультету комп'ютерних наук
(Methodological recommendations for solving homework Physics problems for the first year
students of the Computer Science Department). – Харків.: Просвіта, 2005.
9. Гірка В.О., Гірка І.О., Кондратенко А.М., Методичні вказівки до виконання лабораторних
робіт з курсу “Механіка” для студентів першого курсу факультету комп’ютерних наук
(Methodological recommendations for laboratory research in “Mechanics” for the first year
students of the Computer Science Department). – Харків.: Просвіта, 2004.
10.
Гірка В.О., Гірка І.О., Кондратенко А.М., Методичні вказівки до виконання
лабораторних робіт з курсу “Молекулярна фізика” для студентів першого курсу
факультету комп’ютерних наук (Molecular Physics for the first year students of the Computer
Science Department). – Харків.: Просвіта, 2004.
11.
Гірка В.О., Гірка І.О., Кіндратенко А.М. Методичні поради до виконання фізичного
практикуму студентами першого курсу Інституту високих технологій (Methodological
recommendations for workshop in Physics for the first year students of the High Technology
Institute). Харків, 2005.
Supplementary
1. Біленко І.І. Фізичний словник (Dictionary of Physical Terms).-К.: Вища школа, 1993.
2. Телеснин Р.В. Молекуляpная физика (Molecular Physics). -М.: Высш. школа, 1973.
3. Кучерук І.М., Горбачук І.Т., Луцик П.П. Механіка. Молекулярна фізика і термодинаміка.
Том 1 (Mechanics. Molecular Physics and Thermodynamics. Volume 1). -К.: Техніка, 1999.
4. Иpодов И.Е., Савельев И.В., Замша О.И. Сборник задач по общей физике (Collected
problems in General Physics).
DISCIPLINE ANNOTATION
Theory of Probability and Mathematical Statistics
1. Lecturer: Kabalyants Petro Stepanovych, Assistant Professor of Mathematical Modeling and
Software Development Department
2. Status: normative
3. Course, semester: I and II courses, 2 and 3 semesters.
4. Amount of Credits: 5, in total 162 academic hours; 52 hours of lectures, 52 hours of
workshops, 58 hours of independent work.
1 semester—2.5 credits: chapters 1,2,3—written test + credit;
2 semester—2.5 credits: chapters 4,5,6—written test + exam;
5. Prior Requirements: disciplines “Discrete Mathematics”, “Mathematical Analysis”.
6. Discipline Description (subject, aims, structure): the subject of the discipline is theoretically
probabilistic methods and methods of mathematical statistics. Methods of construction of
probability experiment model, simulation of random variable, methods of estimation theory,
correlation and regression analysis are studied in details. Asymptotic probabilistic methods
of analysis are surveyed.
Aim of the course: to provide future specialists with knowledge in the area of modern
theory of probability and mathematical statistics, and usage of its methods in modeling and
analysis of real objects and processes.
The program of the discipline consists of a schedule, thematic plan, containing 6 chapters
and list of supportive materials.
7. Methods of Teaching: lectures, workshops, independent work.
Elements of topical lectures, individual tasks for independent work.
8. Assessment Forms: written control of individual tasks; written tests; written credit and
written exam in the 2 and 3 semesters respectively.
Assessment criteria:
Only those students who have got 35 % of the total amount of credits according to all forms of
current control are admitted to an exam; students who have got no less than 91 % of the total
amount of credits are free from the exam.
9. Supportive Materials:
 Program
 Discipline schedule
 Textbooks
 Department manuals
 Collected problems manuals
 Set of individual tasks for current control
 Tasks for rector tests
 Examination cards
10. Language of Instruction: Russian
11. List of Recommended Literature
Basic Literature
1. Гихман И.И., Скороход А.В., Ядренко М.И. Теория вероятностей и математическая
статистика (Theory of Probability and Mathematical Statistics). К., Выща школа, 1979.
2. Климов Г.П.. Теория вероятностей и математическая статистика (Theory of Probability and
Mathematical Statistics). М., Издательство Московского университета, 1983.
3. Коваленко И.Н., Гнеденко Б.В. Теория вероятностей (Theory of Probability). К., Выща
школа ,1990.
4. Розанов Ю.А. Теория вероятностей случайные процессы и математическая статистика
(Theory of Probability, Casual Processes and Mathematical Statistics). М., Наука, 1985.
5. Крамер Г. Математические методы статистики (Mathematical Methods of Statistics). М.,
Мир, 1975.
6. Шметтерер Л. Введение в математическую статистику (Introduction to Mathematical
Statistics). М., Наука, 1976.
7. Закс Ш. Теория статистических выводов (Theory of Statistical Conclusions) . М., Мир,1975.
8. Кендалл М.Д., Стюарт А. Статистические выводы и связи (Statistical Conclusions and
Correlation). М., Наука, 1973.
9. Боровков А.А. Математическая статистика (Mathematic Statistics). М., Наука, 1984.
10. Леман Э. Проверка статистических гипотез (Check-up of the Statistical Hypotheses). М.,
Наука, 1979.
11. Бикел П., Доксам К. Математическая статистика (Mathematic Statistics). М., Финансы и
статистика, 1983.
12. Ермаков С.М., Михайлов Г.А. Курс статистического моделирования (Course of Statistical
Modeling). М., Наука, 1976.
13. Сборник задач по теории вероятностей математической статистике и теории случайных
функций (Collected Problems in Theory of Probability and Theory of Casual Functions). Под
ред. А.А. Свешникова, М., Наука,1970.
Manuals and Methodological guidance
1. Учебно-методическое пособие “Теория вероятностей и математическая статистика”
(Methodological guidance “Theory of Probability and Mathematical Statistics “). Сост. РофеБекетов Ф.С., Подцыкин Н.С. – Харьков, 2001.
DISCIPLINE ANNOTATION
Mathematical Analysis and Differential Equations
Lecturer: Nikolenko Iryna Hennadiivna PhD (Physics and Mathematics), Associate
Professor
Status: Normative
Courses, semesters: 1-2 courses, 1-3 semesters
Aim of the Course: is in providing future specialists with knowledge in the area of
mathematical analysis and differential equations.
Prior Requirements: “Higher Algebra”, 1 semester, “Analytical Geometry”, 1 semester.
Tasks of the Discipline: following the completion of the course students must:
KNOW:
- Features of infinitely small consecutive orders or functions;
- Rules of differentiation;
- Theories of Roll, Langrage, L’Hopital;
- Necessary and sufficient conditions for extremum of functions;
- Features of the anti-derivative and indefinite integral;
- Rules of calculus of the Riemann integral;
- Formulae for calculus of a shape area, quantities of lines, volumes of solids;
- Formulae of differential of bivariate function, derivative of composite function;
- LS method (least square method);
- Linear operations on series;
- Conditions of similarity and difference of numerical series;
- the Leibniz's Theorem, Abel's theorem, Taylor and Maclaurin series;
- Euler’s formula, a Fourier series for periodic function and Fourier integrals, Laplace
formula;
- Formulae for contour, double, triple integral calculus;
- Green formulae;
- Formulae of vector field current through the surface;
- Taylor series;
- Methods of solving the first-order equations;
- Defining of discriminating polynomial of differential equation; application of the
Wronskian, assignment and definition of Cauchy function;
- Technology of reduction of the first degree linear equations system to the second
degree equation;
- Theorems about the existence of Laplace transform;
- Formulae of figuring of derivative, convolution integral of originals;
- Euler-Poisson equations, Ostrogradsky method;
- Reasoning of heuristic formula of natural function according to the method of
mathematical induction;
- Verifying of the fundamental theorems.
BE ABLE TO:
-
Calculate borders and derivatives of simple and composite functions with one or a
number of variables;
To trace functions, set distinctly, tacitly or with the help of parameters, to plot their
graphs;
To find indefinite and defined integrals according to Riemann;
-
To calculate area of figures, length of lines, volume of solids;
To solve differential equations and systems of differential equations;
To apply differential or integral calculus to solving physical problems;
To trace numerical, consecutive and unusual integral conformity;
To explicate functions of vrai variable in Taylor, Maclaurin and Fourier series;
To find extremum of most functions variables;
To calculate contour; double and triple integrals;
To find the current of vector field through the surface;
To apply Stocks and Gauss-Ostrogradsky formulae;
To calculate integrals with the help of Euler beta and gamma functions.
Discipline Annotation:
Theory of limits: limit of sequence, limit of function, partial, superior and minimum limit of
function. Continuity of function: local property of continuous functions, properties of continuous
functions on interval. Differential calculus of one-variable function: derivatives and differentials of
random order, properties of differential functions; Taylor’s function; extremum examination and
plotting of function graphs. Indefinite integral: primary and indefinite integral, their properties;
change of variable and integrating by parts; tabular interval; methods of integrating: rational
functions; Ostrogradsky method; irrationalities, rational functions from trigonometric; some
transcendental functions. Riemann integral: properties of integral functions; geometrical and
physical application of integral; Riemann improper integral. Improper integrals; from infinite
interval and from unbounded function on finite interval; convergence properties of improper
integrals; absolute and conditional convergence. Numerical series; convergence properties of series,
n
absolute and conditional convergence. Space
; metric space, open and closed sets, their
n
properties; compact sets in metric space and in
; arrays in n , their convergence; properties of
compactedness. Differential calculus of multivariable functions: variables and differentials of
random order, properties of differential functions; Taylor function; the implicit function theorem;
extremum examinations and extremum conditions. Functional consequence and series; conditions
of proportional convergence of functional series; theorems about term-by-term differentiation and
integration of functional series; formal power series and Taylor series. Riemann integrals depending
on parameter: Euler’s integrals; Laplace method. Riemann multiple integral; properties of integral
functions on sets, calculated by Jordan method; Fubini’s and change of variable theorem. Improper
integrals; geometrical and physical application of multiple integral. Contour and surface integral:
calculus of the first kind surface integrals and their properties, calculus of the second kind surface
integrals; General Stock’s theorem and classic specific cases; elements of field theory. Fourier
series: Fourier series relating to orthogonal vector system; trigonometrical Fourier series and their
point convergence. Fourier integral: Fourier properties of change and point convergence of Fourier
integral. Differential equations of n-power: Coachi’s differential equation; geometrical
interpretation of the first-degree differential equation; normal system of differential equation;
reduction of differential equation to normal system; Linear differential equations: first degree linear
differential equations; methods of integrating factor and variations of arbitrary constant ; equations
in total differentials; linear differential equations of higher order; linear differential equations with
constant coefficients; Euler equation; method of certain constant variations; linear systems of
differential equations: linear systems of differential equations with variable coefficients; linear
systems of differential equations with constant coefficients. Laplace transform and application of
operational calculus for differential equations.
Assessment Forms: calculus, tests, examination.
Supportive Materials: handbooks, methodological manuals and credit tasks.
List of Recommended Literature:
1. Карташев А.П., Рождественский Б.Л. Математический анализ (Mathematical Analysis).
- М.: Наука, 1984.
2. Кудрявцев Л.Д. Краткий курс математического анализа (Brief Course of Mathematical
Analysis). - М.: Наука, 1989.
3. Зорич В.А. Математический анализ (Mathematical Analysis). - М.: Наука, 1984 (I, II т.).
4. Фихтенгольц Г.М. Основы математического анализа (Principles of Mathematical
Analysis) . - М.: Наука, 1964 (I, II т.).
5. Кудрявцев Л.Д., Кутасов А.Д., Чехлов В.И., Шабунин М.И. Сборник задач по
математическому анализу (Collected Problems in Mathematical Analysis). - М.: Наука,
1984. - I т. (Предел, непрерывность, дифференцируемость).
6. Кудрявцев Л.Д., Кутасов А.Д., Чехлов В.И., Шабунин М.И. Сборник задач по
математическому анализу ( Collected Problems in Mathematical Analysis). - М.: Наука,
1984. - II т. (Интегралы, ряды).
7. Демидович Б.П. Сборник задач и упражнений по математическому анализу (Collected
Problems in Mathematical Analysis). - М.: Наука, 1966.
8. Петровский И.Г. Лекции по теории обыкновенных дифференциальных уравнений
(Lectures in the Theory of Simple Differential Equations). М., Изд-во Моск. Ун-та, 1984.
9. Степанов В.В. Курс дифференциальных уравнений (Course of Differential Equations). М.: Гостехиздат, 1953.
10. Понтрягин Л.С. Обыкновенные дифференциальные уравнения (Simple Differential
Equations). - М.: Наука, 1974.
11. Филиппов А.Ф. Сборник задач по дифференциальным уравнениям (Collected
Problems in Differential Equations). - М.: Наука, 1973(1979).
DISCIPLINE ANNOTATION
Discrete Mathematics
1. Lecturer: Kabalyants Petro Stepanovych, Assistant Professor of Mathematical Modeling and
Software Development Department
2. Status: normative
3. Course, semester: I course, 1and 2 semesters.
4. Amount of Credits: 5, in total 162 academic hours; 52 hours of lectures, 52 hours of
workshops, 58 hours of independent work.
1 semester—2,5 credits: chapters 1,2,3—written test + credit;
2 semester—2,5 credits: chapters 4,5,—written test + exam;
5. Prior Requirements: school mathematics base
6. Discipline Description (subject, aims, structure): the subject of the discipline is in methods
of discrete mathematics: methods of the theory of sets, graph theory, combinatorics, logic,
theory of numbers and theory of coding. Theory of sets and graph theory are studied in
detail. Methods of the theory of sets and the theory of coding are studied throughout. A
separate chapter is dedicated to the combinatorial analysis.
Aim of the course: to study principle methods of discrete mathematics: graph theory, the
theory of sets, combinatorics, logic, the theory of automata and the theory of grammar.
Great attention is paid to matrix, numerical and common algebraic methods which are
effective in computer realization.
The program of the discipline consists of a schedule, thematic plan, containing 4 chapters
which contain 45 topics and list of supportive materials.
7. Methods of Teaching: lectures, workshops, independent work.
Elements of topical lectures, individual tasks for independent work.
8. Assessment Forms: written control of individual tasks; written tests; written credit and
written exam in the 1 and 2 semesters respectively.
Assessment Criteria:
Only those students who got 35 % of the total amount of credits according to all forms of current
control are admitted to an exam; students who got no less than 91 % of the total amount of credits
are free from exam.
9. Supportive Materials:
 Program
 Discipline schedule
 Textbooks
 Department manuals
 Collected problem textbooks (electronic copies for the chapter “Combinatorics)
 Electronic version of the first semester notes
 Set of individual tasks for current control
 Tasks for rector tests
 Examination cards
10. Language of Instruction: Russian
11. List of Recommended Literature
Basic Literature
1.
2.
Берж К. Теория графов и ее применение (Graph Theory and its Application). – М.: ИЛИ,
1962. – 320с.
Оре О. Теория графов (Graph Theory). – М.: Наука, 1968. – 352с.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
Сешу С., Рид М.В. Линейные графы и электрические цепи (Linear graphs and Electric
Circuits). – М.: Высшая школа,1971. – 448с.
Харари Ф. Теория графов (Graph Theory). – М.,Мир,1973. – 304с.
Басакер Р.,Саати Т. Конечные графы и сети (Finite Graphs and Networks). –
М.:Наука,1974. – 336с.
Кристофидес Н. Теория графов (алгоритмический подход) (Graph Theory (Algorythmic
Approach). – М.: Мир, 1978. – 432с.
Майника Э. Алгоритмы оптимизации на графах и сетях (Graphs and Networks Algorithms
Optimization on). – М.: Мир, 1981. – 323с.
Свами М., Тхуласираман Н. Графы, сети и алгоритмы (Graphs, Networks and Algorithms). –
М.: Мир, 1984. – 454с.
Филлипс Д., Гарсиа-Диас А. Методы анализа сетей (Methods of Networks Analysis). – М.:
Мир, 1984. – 496с.
Кук Д., Бейз Г. Компьютерная математика (Computer Mathematics). – М.: Наука,1990. –
384с.
Колмогоров А.Н., Драгалин А.Г. Введение в математическую логику (Introduction into
Logistics). Учеб. пособие для вузов. – М.: Изд.-во МГУ, 1982. – 120с.
Сигорский В.П. Математический аппарат инженера (Mathematical Apparatus of an Engineer). –
Киев, Техника, 1977. – 766с.
Кузнецов ОЛ.П., Адельсон-Вельский Г.М. Дискретная математика для инженера
(Discrete Mathematics for Engineers). – М.: Энергия, 1980. – 342с.
Яблонский С.В. Введение в дискретную математику (Introduction into Discrete Mathematics) . –
М.: изд. МГУ, 1986. – 384с.
Виноградов И.М. Основы теории чисел (Principles of the Theory of Numbers). – М.: Наука
1965. – 172с.
Гускин В.М., Цейтлин Г.Е., Ющенко Е.Л. Алгебра, язык, программирование (Algebra,
Language, Programming). – К.: Наукова думка, 1978. – 318с.
Manuals and Methodical Guidance
1. Руткас А.Г. Введение в теорию графов (Introduction into Graph Theory) . Учебное пособие . – Х.:
ХГУ, 1993. – 63с.
2. Дюбко Г.Ф. Введение в формальные системы (Introduction into Formal Systems). – Х.:
ХИРЭ, 1992. – 170с.
3. Бондаренко М.Ф., Білоус Н.В., Шубін І.Ю. Збірник тестових завдань з дискретної
математики (Collected Tests in Discrete Mathematics) . – Х.: ХДТУРЕ, 2000. – 156с.
4. Бондаренко М.Ф., Білоус Н.В., Руткас А.Г. Комп'ютерна дискретна математика:
Підручник для ВУЗів. (Computer Discrete Mathematics. High School Textbook) – Х.:
Компания СМІТ, 2004. – 479с.
DISCIPLINE ANNOTATION
Economic theory
Lecturer: Shedyakova Tetyana Evheniivna, Associate Professor of the Economic Theory
Department.,
Status: normative
Course, semester: I course, 2 semester
Amount of Credits: 3, 108 academic hours in total; 32 hours of lectures; 32 hours of
seminars, 44 hours of independent work.
Prior requirements: “Higher Mathematics”, “Philosophy”.
Discipline description: The subject of the discipline is studying of the economic principles
of social industry development, reasoning of a choice made by housekeeping individuals in
optimal usage of limited resources aimed at a complete meeting of growing people’s needs.
Aim of the course is in forming the system of knowledge about economic relations in the
society, problems of effective usage of scarce resources, functioning of basic components of
the economic system, development of students’ economic thinking and also preparation for
the further study of other economic disciplines’ backgrounds and potential implementation
of economic knowledge in future profession.
To know: basic stages of economic thinking development, problems and principles of functioning
and
development
of
social
industry,
property
relations,
economic
systems,
commodity-money relations, basis of offer and demand in market economy, rational consumer
choice, firm operation, market resources and market structures, principles of national economy
functioning, monetary and financial system, forming of macroeconomic equilibrium and forms of
macroeconomic instability, principles of economic state regulation and international economic
relations. The theoretical material which is studied is divided into 16 topics.
Methods of Teaching: lectures, workshops, independent work.
Assessment Forms: current control in the form of module tests, shotgun quizes on a covered
theoretical material, final control in the form of written exam.
Assessment Criteria:
Students’ assessment is brought about according to the Bologna System requirements. In all
forms of work a student can get a maximum of 100 credits (points), 60 of which is obtained due to a
current work in the semester and 40 can be got in the final control. The course is divided into 3
modules, each allows to obtain 1/3 of the total amount of credits in a current work. Students’
assessment is carried out on the basis of an average credit calculus separately in each module and
exam with a following reassessment of these rates into a sum of obtained credits through special
coefficients as a relation of a maximum amount of credits which can be obtained in a module or an
exam to a maximum of the scale through which average rates are calculated. Average rates are
calculated on the basis of the five-grade scale. For students’ assessment during the workshops a
scale from 0 to 5 with a 0.5 division value is used. For a current module tests assessment the fivegrade scale is also used, but the mark is given as the ration from the division of points, received by
the student during the test, into the coefficient of recalculation which is defined as the ratio from the
division of the amount of questions, that were set for the test, into 5. Writing of all tests is
compulsory. A student gets a “0” if he/she hasn’t written a test. The calculus of an average rating
for the current work in the semester is brought about due to the formula of arithmetic mean with a
weight number 2 – for the module test; 1 or 0.5 (it depends on the wok done by the student o
his/her activity) for workshop. The exam is assessed as the arithmetic mean separately for each
question in the exam card. So the average rating is recalculated into the amount of points got at the
exam following the procedure described.
Supportive Materials:
-
The program;
Textbooks and manuals in economic theory;
Legal documents justifying the current economic processes in the country;
Collected problems on micro- and macroeconomics;
Electronic materials which are given to the student at the beginning of the semester;
Tasks for the current assessment;
Examination cards.
Language of instruction: Ukrainian, Russian, English (within the scope of micro- and
macroeconomics terminology that is of English origin).
List of Recommended Literature
1. Экономическая теория (политэкономия) (Economics theory (Political Economics)):
Учебник / Под общей ред. заслуженных деятелей науки Российской Федерации, профессоров
В.И. Видяпина, Г.П. Журавлевой. – М.: Изд-во Рос. экон. акад., 2000. – 529 с.
2. Курс экономической теории (Course of Economics Theory): учебник / Под общей
редакцией проф. Чепурина М.Н., проф. Киселевой Е.А. – Киров: «АСА», 2000. – 752 с.
3. Основи економічної теорії: політекономічний аспект (Principles of economics theory:
politico-economic aspect): Підручник / Відп. ред. Г.Н. Климко. – К.: Знання-Прес, 2002. – 615
с.
4. Політична економія (Political Economics): Навч. посібник / К.Т. Кривенко,
В.С. Савчук, О.О. Бєляєв та ін.; За ред. д-ра екон. наук, проф. К.Т. Кривенка. – К.: КНЕУ,
2001. – 508 с.
5. Економічна теорія: Політекономія (Economics theory: Political Economics):
Підручник / За ред. В.Д. Базилевича. – 3-тє вид., перероб. і доп. – К.: Знання-Прес, 2004. –
615 с.
6. Иохин В.Я. Экономическая теория (Economics Theory): Учебник. – М.: Экономистъ,
2004. – 861 с.
7. Політична економія. (Political economics). За ред. В.О. Рибалкіна, В.Г. Бодрова. –
К.: Академвидав, 2004. – 672 с.
8. Бутук А.И. Экономическая теория (Economics Theory): Учеб. пособие. – 2-е изд.,
перераб. и доп. – К.: Вікар, 2003. – 668 с.
9. Економічна теорія. Посібник вищої школи (Economics Theory. High School Manual).
(Воробйов Є.М., Грищенко А.А., Лісовицький В.М., Соболєв В.М.) / Під загальною
редакцією Воробйова Є.М. – Харків-Київ, 2003. – 704 с.
10. Киреев А.П. Международная экономика (. В 2-х ч. – Ч. I. Международная
экономика: движение товаров и факторов производства. Учебное пособие для вузов
(International Economics. In 2 parts. Part I. International economics: movement of goods and
factors of production. University Manual). – М.: Междунар. отношения, 2000. – 416 с.
11. Киреев А.П. Международная экономика. В 2-х ч. – Ч. II. Открытая экономика и
макроэкономическое программирование. Учебное пособие для вузов (International
Economics. In 2 parts. Part II. Open economics and macroeconomic programming) – М.:
Междунар. отношения, 2000. – 488 с.
DISCIPLINE ANNOTATION
Economics and Management
Lecturer: Kuklin Volodymyr Mykhaylovych Doctor of science (Physics and Mathematics)
1. TO KNOW
Principles of organization and production management; manufacturing process, its
organization and structure, types of manufacture; structure and peculiarities of production
facilities; mechanisms of price formation; forms of ownership and their influence on the
organization and functioning of an enterprise; mechanisms and principles of production
distribution and material and technical resources supply; principles of elaborating of an
enterprise financial plan; principles of enterprise accountancy; methods of planning and
analyzing of business activity; legislative regulation of an enterprise activity; principles of
fiscal system activity; financial interrelation between an enterprise and a budget; to
distinguish business processes, to know principles of transfer price calculation, to organize
budgeting.
2. TO BE ABLE TO:
To calculate assets price, product prime cost and its price, to evaluate quality of a product
and its competitiveness; to use the system of indices of production financial effectiveness;
to make quantitative and qualitative analyses of enterprise effectiveness; to calculate
income, funds, effectiveness, cost effectiveness, returns on assets, capital coefficient,
intensity of use; make forecasts of production development; to define necessity in material
and labor resources; to use the methods of calculus of labor productivity; to work out an
enterprise financial plan; to analyze book entry during the accounts of business activity; to
work out a plan of economic and social development of an enterprise; to work out a plan
calendar of an enterprise; to be able to calculate taxes.
3. Discipline Description: studying of enterprise accounting; methods of planning and
analyzing of business activity; legislative regulation of an enterprise activity; principles of
the fiscal system functioning; enterprise-budget financial interrelations; to distinguish
business processes.
4. Methods of Teaching: lectures, workshops, independent work.
Elements of problematic lectures, individual tasks for independent work.
5. Assessment Forms: written control by means of individual tasks; written tests; written
credit.
DISCIPLINE ANNOTATION
Mathematical Statistics in Computerized Systems
Lecturer: Podtsykin Mykola Serafymovych, Associate Professor of the Department of
Mathematical Modelling and Software Development of the Mathematics and Mechanical
Engineering School.
Prior Requirements: To know courses: “Mathematical Analysis”, “Theory of Measurement and
Lebesgue Integral”. “Theory of Probability”.
Description (content, aims, structure,): Modeling of casual parameters, distribution. Interval
parameter assessment. Checking of statistics. Line regression. Application of statistics methods in
stochastic mathematical models.
Assessment forms: credit
Aim of the Discipline: The aim of the course is in providing future specialists with knowledge in
the sphere of modern Theory of Probability and Mathematical Statistics, and applying its methods
in modeling and analyzing of the real objects and processes.
Tasks of the Course:
Following a completion of the course students must:
KNOW:
 The fundamental laws of the probability theory and mathematical statistics;
 The definition of empirical distribution, moments;
 To plot block diagrams;
 To model (image) random variable;
 Characteristics of point estimations;
 Methods of obtaining of point estimations;
 Methods of obtaining of interval estimation;
 To check statistic hypotheses;
 Elements of regression analysis.
TO BE ABLE TO:
 To apply the fundamental laws of the probability theory and mathematical statistics for the
analysis of real stochastic objects and processes;
 To image random variables and real stochastic objects.
Description of the discipline: Problems of mathematical statistics. Statistical structure. Definition
of the empirical distribution. The Glivenko-Cantelli theorem. The sample curve. Block diagram
plot. Imaging of the discrete random variable. Proportional actuator. Imaging of the continuous
random variable. Method of the moments of derivation estimate. Probability function. Method of
maximum probability of point estimations. Estimation comparison. The Cramer-Rao inequality.
Super effective estimations. Sufficient statistic. The Fisher-Neyman theorem. Interval estimation of
the ND parameters. Plotting of the interval estimations on big samples. Simple and complex
hypotheses. Statistical criteria for the hypotheses examination. Criteria of 2 transactions. The
Neyman-Pearson theorem. Two simple hypotheses examination. Linear regression. Regression
parameters estimation according to the least-squares method.
List of Recommended Literature
Basic:
1. Гихман И.И., Скороход А.В., Ядренко М.И. Теория вероятностей и математическая
статистика (Theory of Probability and Mathematical Statistics). К., Выща школа, 1979.
2. Климов Г.П.. Теория вероятностей и математическая статистика (Theory of Probability and
Mathematical Statistics)М., Издательство Московского университета, 1983.
3. Коваленко И.Н., Гнеденко Б.В. Теория вероятностей (Theory of Probabilities). К., Выща
школа ,1990.
4. Розанов Ю.А. Теория вероятностей, случайные процессы и математическая статистика.
(Theory of Probability (Theory of Probability, Casual Processes and Mathematic Statistics).М.,
Наука, 1985.
5. Крамер Г. Математические методы статистики (Mathematical Methods of Statistics). М.,
Мир, 1975.
6. Закс Ш. Теория статистических выводов (Theory of Statistical Conclusions). М., Мир,1975.
7. Кендалл М.Д., Стюарт А. Статистические выводы и связи (Statistical Conclusions and
Correlation). М., Наука, 1973.
8. Боровков А.А. Математическая статистика (Mathematical Statistics) . М., Наука, 1984.
9. Леман Э. Проверка статистических гипотез (Examination of Statistical Hypotheses). М.,
Наука, 1979.
10. Бикел П., Доксам К. Математическая статистика (Mathematical Statistics). М., Финансы и
статистика, 1983.
11. Ермаков С.М., Михайлов Г.А. Курс статистического моделирования (Course of Statistical
Modelling). М., Наука, 1976.
12. Сборник задач по теории вероятностей математической статистике и теории случайных
функций (Collected Problems in Theory of Probability and Casual Functions Theory). Под
ред. А.А. Свешникова, М., Наука,1970.
Supportive materials
1. Учебно-методическое пособие “Теория вероятностей и математическая
статистика” (The manual “Theory of Probability and Mathematical Statistics “). Сост.
Рофе-Бекетов Ф.С., Подцыкин Н.С. – Харьков, 2001.
DISCIPLINE ANNOTATION
Systems modeling
Lecturer: Podtsykin Mykola Serafimovych, Associate Professor of Mathematical analysis
department, School of Mathematics and Mechanical Engineering.
Course, semester: 4th year, 8th semester
Prior requirements: knowledge of courses: mathematical analysis. Theory of probability and
mathematical statistics
Course description (content, aims, structure): modeling of deterministic and stochastic systems.
Aims and tasks of modeling. Modeling of service systems, modeling of small homogeneous and
heterogeneous systems. Modeling of engineering systems reliability. Simulation modeling AIMS
AND TASKS OF THE COURSE:
The aim of Systems modeling course is to study different types of mathematical models, modeling
methods and methods of model analysis for optimization problems and production, social and
economic process control.
Tasks of the course
• Study the basic concepts of modeling, classification of models, common modeling methods;
• Revise and study mathematical classes facilities for object modeling;
• Study and acquire of practical skills in algorithmization of complex systems functioning for
simulation models;
• Study certainty criteria of modeling and acquirement of corresponding practical skills;
• Make models with service systems means; estimation of average big stochastic dynamic
systems characteristics.
Following the completion of the course a student must: KNOW:
• Existing modeling methods of deterministic and stochastic systems.
• Generation of Kolmogorov equation for state probability of stochastic objects.
• Service systems modeling methods.
• Average dynamic method for estimation of big stochastic systems characteristics.
BE ABLE TO:
• Build deterministic and stochastic objects models.
• Use simulation modeling for analysis of complex stochastic systems.
• Use dynamic method of average for estimation of big stochastic systems characteristics.
Assessment Forms: exam
Supportive Materials:
1. Бусленко Н.П. Моделирование систем.(System modeling) - М.: Наука, 1978.
2. Бусленко Н.П. Метод статистического моделирования^ Method of statistical modeling) - M.:
Статистика, 1970.
3. Полляк Ю.Г. Вероятностное моделирование на ЭВМ.( Probabilistic computer modeling) М.: Статистика, 1971.
4. Снапелев Ю.М., Старосельский В.А. Моделирование и управление в сложных системах.
(Modeling and complex systems administration) - M.: Советское радио, 1974.
5. Срагович В.Г. Теория адаптивных систем.(Adaptive system theory) - М.: Наука, 1976.
6. Варшавский В.И. Коллективное поведение автоматов. (Automatic machine cooperative
behavior); - M.: Наука, 1973.
7. Клейнрок Л. Теория массового обслуживания.( Theory of waiting lines )M.:
Машиностроение, 1979. 432 с.
8. Саати Т.Л. Элементы теории массового обслуживания и ее приложения.( Elements of the
theory of waiting lines and its applications ) М.:Сов. радио, 1971. 520 с.
9. Вентцель Е.С. Теория вероятностей. ( Probability theory) M.: Наука, 1969. 576 с.
10. Вентцель Е.С. Исследование операций. ( Operations research) M.: Сов. радио, 1972. 552 с.
11. Смирнов Б.Я., Дунин-Барковский И.В. Краткий курс математической статистики для
технических предложений. ( Short course of mathematical statistics and technical suggestions) M.,: Физматгиз, 1959.- 436 с.
12. Голенко Д.И. Моделирование и статистический анализ'псевдослучайных чисел на ЭВМ. М.: Наука, 1965. - 228 с. Computer modeling and statistical analysis of pseudorandom numbers)
13. Советов Б.Я. Моделирование систем. ( System modeling) - M.: Высшая школа, 1985.
COURSE ANNOTATION
Basic concepts of mathematical optimization methods
Lecturer: Smortsova Tetyana Ivanivna, Assistant Professor
Aim of the course: to teach future specialists basic concepts of mathematical optimization
methods.
Prior Requirements: studying of the course "Basic concepts ef mathematical optimization
methods" is based on knowledge of the course "Mathematical analysis".
Tasks of the course:
Following the completion of the course a student must:
KNOW: different problems of calculus of variations and simplest numerical optimization
procedures
BE ABLE TO: use studied types of problems and methods for solving specific problems
Course Description. Subject and aims of th course. Examples. A simplest calculus of variations
problem. First variation, its calculation and application. Euler Equation. First Euler integral
equation in different cases. Examples. Brachistochrone problem. Newton's aerodynamic problem.
Weierstrass - Erdmann condition. Regular functional. Second variation, its calculation and
application. Legendre necessary condition. Jacobi necessary condition. Euler critical load problem.
Jacobi sufficient condition. Vectorial variational calculus problem. Free point Bolza problem.
Transversability condition. Higher derivative problem. Isoperimetric problem. Form of rope
equilibrium problem, Dido problem. Numerical methods of solving nonlinear algebroid equation.
Numerical methods of minimization of function with one variable.
Assessment Forms: during the whole semester students take the following assessment forms:
• Module control
• Final control (exam)
Supportive Materials:
1. Ахиезер Н.И. Вариационное исчисление (Variations calculus)
2. Еельфанд, Фомин. Вариационное исчисление. (Variations calculus)
3. Эльсгольц. Дифференциальные уравнения и вариационное исчисление (Variations calculus
and differential equation)
4. Еилл, Мюррей, Райт. Практическая оптимизация. (Practical optimization)
5. Сухарев, Тимохов, Фёдоров. Курс методов оптимизации. (Optimization method course)
DISCIPLINE ANNOTATION
Optimal static solving of simulation and control problems.
Lecturer: Podtsykin Mykola Serafimovych, Associate Professor of Mathematical analysis
department, School of Mathematics and Mechanical Engineering.
Aims and tasks of the course:to teach future specialists the theory of making optimal static
decisions in stochastic control systems: economic, technical etc.
Prior Requirements: knowledge of courses: mathematical analysis. Theory of probability and
mathematical statistics.
Tasks of the course:
Following the completion of the course a student must:
KNOW:
• Classical and Bayesian approach to assessment of parameter in statistics.
• Construction and analysis of utility function.
• Estimation of the Bayesian risk and solution.
• The rule of constructing in the Bayesian decision function in statistical problems.
• Determination and constructing of conjugate distributions families.
• Convergence of posterior distributions.
BE ABLE TO:
• Construct and analyse utility function in case of cash income.
• Calculate the Bayesian decision function in problems with observation and with the
known observation value.
• Find conjugate distributions families parameters for different observation distributions.
• Use the statistical decision theory in economy, psychology and engineering.
Supportive Materials:
1. Де Гроот М. Оптимальные статистические решения.( Optimal statistical decisions) M., Мир.
1974.
2. Ширяев А.Н. Статистический последовательный анализ. ( Statistical sequential analysis) М.,
Наука. 1969.
3. Чжоу Й., Роббинс X. Об оптимальных правилах остановки. ( About best stopping rules )
Математика. 9:3, 1965.
4. Чернов Г., Мозес Л. Элементарная теория статистических решений. ( The elementary theory
of statistical decisions) M. 1962.
5. Ченцов Н.Н. Статистические решающие правила и оптимальные выводы. (Statistical
decision rules and optimal methods) M., Наука, 1972.
6. Управление риском: Риск. Устойчивое развитие. ( Sustainable development) M., Наука,
2002.
7. Городецкий А.Я. Информационные системы. Вероятностные модели и статистические
решения. ( Information systems. Probabilistic models and statistical decisions) СПб, изд-во
СПбГПУ, 2003.
Supplementary Materials:
1. Гихман И.И., Скороход А.В., Ядренко М.И. Теория вероятностей и математическая
статистика. (Probability theory and the mathematical statistics) К., Выща школа, 1979.
2. Крамер Г. Математические методы статистики. (Mathematical methods of statistics) M.,
Мир, 1975.
3. Леман Э. Проверка статистических гипотез.( Checkup of statistical hypotheses) M., Наука,
1979.
4. Бикел П., Доксам К. Математическая статистика. (The mathematical statistics ) M.,
Финансы и статистика, 1983.
5.
6.
7.
8.
Ермаков СМ., Михайлов Г.А. Курс статистического моделирования. (The course of
statistical modeling) M., Наука, 1976.
Зельнер Ф. Байесовские методы в эконометрике. (Bayesian methods in econometrics) M.,:
Статистика, 1980.
Розен В.В. Цель, оптимальность, решение. Математические модели принятия
оптимальных решений. ( The aim, optimality, decision. Mathematical models of
acceptance of optimum decisions) M. Радио и связь. 1982.
Фишберн П. Теория полезности для принятия решений. (Utility theory for decisionmaking) M., Наука, 1978.
DISCIPLINE ANNOTATION
Ecology
Lecturer: Popov Hennadii Fedorovych, Associate Professor of Systems and Technologies Modeling
Department.
Status: normative
Course , semester: 4th year, 7th semester.
Amount of hours: total - 54 academic hours; lectures - 24 hours, workshops - 8 hours, independent
work- 18 hours. Module 1 - course of lectures, testing of current knowledge, which students get
during lectures. Independent work. Exam.
Prior Requirements: eligible knowledge of physics, biology, higher mathematics and informatics.
Course description (content, aims, structure)
Radioecology is one of the most important branches of general ecology. Radioecology studies
nature and radiation sources, influence of ionizing radiation on human beings and environment,
migration of radionuclides in environment, radiation sensitivity of living organisms, aftereffects of
radiation pollution on environment, radio-ecological problems of atomic power engineering,
principle of radiation measurement, principle of radiation monitoring, radiation protection methods,
radiation safety legislation.
Radiation is the most important natural and anthropogenic factor in life of biosphere and is the
most critical factor for human being. Rapid development of atomic power engineering and
widespread use of ionizing radiation sources in different fields of science, technology and national
economy create a potential radiation hazard for people and environment radiation pollution.
Recently the question of environmental pollution by nuclear waste became very urgent.
Accidents on nuclear power plants and atomic-powered vessels, nuclear waste processing plants
have very huge influence in local areas, but they aren't safer in global scale, raising average
radiation level in biosphere. Biosphere pollution was caused by nuclear tests. It should be noted,
that in many places of the world there are certain areas with increased natural radiation level.
Increased radiation background for some places on Earth is a permanent ecological factor, which
has different impact on living organisms.
The course "Radioecology" will help to understand the influence of radiation on living things.
The aim of this course is to give an idea of ionizing emission effect as ecological factor on
every unit of biosphere.
Tasks to learn:
• Physical nature and law of radioactive decay;
• physical-chemical processes during the influence of radiation on substance and living
tissues;
• assessment of radiation hazard and basic concepts of radiation rationing;
• methods and ways of radiation control and protection;
• anthropogenic and natural sources of radiation;
• environmental conditions in areas where nuclear power plants and other full nuclear fuel
cycle plants are located and also in areas with radiation pollution;
• protection and radiation pollution prophylaxis:
Following the completion of the course a student must know :
 the scheme of radioactive transformation and the unit of activity;
 natural and man-made sources of radiation and radiation composition;
 main mechanism of radionuclides' behavior in environment and ways of their inflow in
plants, animal and human organisms;
 radiobiological effects and ecological changes caused by radiation;
 the character of influence of nuclear facilities on environment under their normal
functioning and in case of emergency situation;
 main ecological problems of nuclear fuel cycle;
 ways of solving radiation waste problem;
 radiation standards.
Course program consists of 1 module, which covers 18 topics and a list of literature.
Module 1. The radioactive phenomenon. Nuclear reactions. Ionizing emission. Sources of ionizing
emission. Interaction of ionizing emission with substance. Environmental radiation. Man-made
sources of ionizing emission. Damage effects of nuclear weapons. Detectors and system in radiation
monitoring of environment. Nuclear reactors. Atomic power engineering. Nuclear-power plants.
Ecological problems of nuclear fuel cycle. Atomic force. Swimming nuclear-power plants. Nuclear
fuel cycle. Problems of depleted radiation fuel. Decommissioning of nuclear-power plants and their
preservation. Radiation disasters. Radiobiological effects. Radiation standards. Radiation doses.
Forms of Teaching: lectures and individual work.
Methods of teaching: lectures on which the main systematic material of the course is given, lectures
are represented in the form of Power Point presentations on multimedia equipment, answering
students' questions on every section of the topic, discussion of the most difficult questions of
lectures, demonstration of films about principles of work of nuclear reactors, atomic-power plants,
radiation equipment, atomic weapons; individual tasks for individual work. Individual work of the
students includes work with academic and scientific books, with the Internet and ends in writing a
summary.
Assessment Forms: current testing of students, final testing in the exam.
Evaluation criteria: students who complete their syllabus, videlicet: attended lectures, have their
lecture notes, have their summary concerning questions of individual work.
Supportive Materials:
• the program;
• schedule of course;
• electronic abstract of lectures;
• lectures in the form of Power Point presentation.
• theme film;
• list of tasks for individual work;
• list of literature and information sources;
• list of tasks foe the exam.
Language of Instruction: Russian (for the reason that groups contain many foreign students
and in their contracts Russian is stated as the language of instruction).
List of Recommended Literature:
Basic
1. Коваленко Г.Д. Радиоэкология Украины. (Radioecology in Ukraine )Изд. ИНЖЭК.
Харьков.2008.
2. Вальтер А.К., Залюбовский И.И. Ядерная физика. (Nuclear physics) Высшая школа.
Харьков. 1974.
3. Ю. Одум. Основы экологии. (The basic foundations of ecology) Издательство "Мир",
Москва. 1975.
4. Белозерский, Г. Н. Радиационная экология (Radioecology). - М. : Академия, 2008. - 384
с.
5. Безопасность жизнедеятельности. Защита населения и территорий в чрезвычайных
ситуациях : учебное пособие для вузов. (Health and safety. Protection of the population
and territories in emergency situations: the manual for high schools ) M. : Академия, 2008.
- 297 с.
6. Прохоров, Б. Б. Социальная экология: учебник для вузов. (Social ecology, the textbook
for high schools)M. : Академия, 2007. - 412 с.
7. 7 . Сапожников, Ю. А. Радиоактивность окружающей среды. Теория и практика :
учебное пособие /( Environmental radioactivity. Theory and practice, the manual)2006. 286 с
8. Пивоваров, Ю. П. Радиационная экология : учебное пособие для вузов ( Radioecology:
the textbook for high schools)/ M. : Академия, 2004. - 240 с.
9. Ярмоненко СП. "Радиобиология человека и животных",( Radiobiology of human and
animals) ВШ, Москва. 1997г.
10. Лисовский Л.А. "Радиационная экология и радиационная безопасность", Мн.
1997. (Radiation ecology and safety)
11. Бабаев Н.С. В.Ф. Демин, Л.А. В.А. Легасов, Ю.В. Сивинцев. Ядерная энергетика,
человек и окружающая среда.( Nuclear power engineering, humand and environment) M:
«Энергоатомиздат», 1984.
Supplementary
1. Кудряшов Ю.Б. Радиационная биофизика. (Radiation biophysics) M.: Физматлит, 2004.
2. H. Г. Гусев, E. E. Ковалев, В. П. Машкович, А. П.Суворов. Защита от ионизирующих
излучений. (Health physics) M.: "Энергоатомиздат", 1990.
3. Жабо В.В. Охрана окружающей среды на ТЭС и АЭС. ( Environmental protection
onthermal and nuclear power plants ) - M.: Энергоатомиздат, 1992.
4. Изотопы: свойства, получение, применение. (Isotopes: properties, reception, application.)
В 2-х томах. ФИЗМАТЛИТ. Москва. 2005.
5. Ковальський О.В. Лазар А.П., Людвинський Ю.С. та ін. Радіаційна медицина.
(Radiation medicine) Київ. Здоров'я.-1993..
Informational resources
1. http://nuclearenergy.ru
2. http//raatom.ru ((Ат.электрост, яд.реакторы, яд.физика, яд.оружие .......... )
3. http//nuclphys.sinp.msu.ru
4. http//atomas.ru
5. http//www.cpce.ru/tools/rtad_iocham_main.shtml
6. http://ru.wikipedia.org/
OPTOINFORMATICS
Lecturer: Dolia Hrygorii Mykolaiovych, Full Professor, D.Sc. (Engineering)
Prior Requirements:
Course aim: to teach students basic concepts of photonics and optical technologies in informatics
and teach technical skills of parameter calculation of typical optoelectronic devices.
Tasks of the course:
• familiarization with the basic concept of optoelectronics devices construction, which is
used in computer science;
• forming of systematized notion about functioning of optical and optoelectronic
information processing devices;
• acquirement of practice in engineering evaluation of main parameters of optical and
optoelectronic computer technology devices;
Following the completion of the course a student must know :
• basic characteristics, structure principles and functioning laser and optoelectronic
computer technology devices.
• Structural, functional, optomechanical schemes of typical laser and optoelectronic
computer technology devices.
• operating rules and safety regulations using laser and optoelectronic computer technology
devices.
• Main ways of updating, modernization and future development of laser and
optoelectronic computer technology devices.
• Factors which limit the boundary potential of above mentioned systems.
be able to:
• Ground and evaluate main technical characteristics of laser and optoelectronic computer
technology devices.
• Study the material bases by themselves, study the structure of modern modernized and
perspective laser and optoelectronic computer technology devices.
• Find faults in elements and optoelectronics device systems during their operation, choose
the optimal running regime.
• Estimate and analyze ways of using optical systems under different conditions.
Course description: optical receivers. Elements of laser construction theory. Generation of
laser emission.
Optical modulators. Optical peripheral computer devices. Storing device on optical disks.
Holographic memories. Analogue optical processors. Digital optical processor.
Literature
1. Доля Г.Н. Чудовская Е.С. Методические материалы по учебной дисциплине
«Оптоинформатика». Часть 1. «Основы фотоники». (Methodical materials on the subject
"Opto informatics". Part 1. «The basic foundations of Photonics») Харьков - 2008.
2. Доля Г.Н. Чудовская Е.С. Методические материалы по учебной дисциплине
«Оптоинформатика». Часть 2. «Оптические технологии в вычислительной технике».
(Methodical materials on the subject "Optoinformatics". Part 2 Optical technologies in
computer science) Харьков - 2008
List of Recommended Literature
Basic
1. Справочник по лазерной технике.( Reference book on laser technology) Киев,
„Техника", 1978.
2. Г. Боухьюз и др. Оптические дисковые системы. (Optical disk systems)- M., Радио и
связь, 1991.
3. Акаев А.А., Майоров С.А. Оптические методы обработки информации.(Optical
methods of information processing)- M.: Высшая школа, 1988.
4. Д. Гринфилд. Оптические сети. - К., ООО «ТИД ДС», 2002
5. М.Янг. Оптика и лазеры, включая волоконную оптику и оптические волноводы: Пер.
1.
2.
3.
4.
с англ. (Optics and lasers, including fiber optics and optical waveguides. Translation from
English) -M.: Мир, 2005
Supplementary
Новые физические принципы оптической обработки информации/ Сборник статей
под ред. С.А. Ахманова , (New physical principles of information optical processing. The
collection of articles edited by S. A. Achmanova)1990 .
P. Фриман. Волоконно- оптические систмы связи. (Fiber-optics systems of
communication) -M., Техносфера. 2004
Оптическая голография / Под ред. Г.Колфилда. (optical holography, edited by H.
Kolvfild)-M., Мир, 1982
Справочник по лазерам/ Под ред. A.M. Прохорова. В 2-х томах. - М. (Reference book
on lasers, edited by A. M. Prochorov. In two volumes) Сов радио, 1978.
DISCIPLINE ANNOTATION
Philosophy
Lecturer: UkrainetsLilia Viktorivna, PhD (Philosophy), Associate Professor.
Aim of the course: the aim of the course is students' understanding of the main problems and
achievements of Philosophy from ancient times till the modern time and creation of visions on
logic-rational and responsive levels, familiarization with range of problems and achievements of
philosophical thought from ancient times till the present time, personality formation, who can resist
any outer influence, specially its manipulation. The course is aimed at formation of clever,
independent, responsible, thinking personality, who meets the needs of present time. Pedagogical
strategy of the course is aimed at development of the critical thinking skills of personality, who has
highest possible amount of philosophical "instruments" for civilized solving of critical situations,
conflicts, peculiar problems of present day. Development students' critical attitude not only to
someone's else point of view, but also to their own one. In other words the aim of the course is the
creation of "cultural immunity", including immunity to the licentiousness and also aim at nonviolence.
Tasks of the course:
The methodological basis of the material presentation, which a student must learn, is methods,
origins of which are from the European cultural tradition. On the one hand cultural-informational
approach, that is the "dialogue with the History", in other words known intellectual traditions,
information about the Philosophy, on the other hand - problem-efficient, pragmatic principles,
aimed at modem time (modern methods and ways of their solving, philosophers' ideas which work
even today). Usage of these pedagogical strategies, paradigms promotes not only deeper
understanding of the teaching material and also gives the opportunity to demonstrate the versatility
of the philosophical knowledge, answer the question " what can philosophy do today for the modern
time?". The course is built considering imperatives of modern culture and civilization of the 21th
century.
Following the completion of the course "Philosophy" a student must know:
• The structure of the philosophic knowledge (ontology, gnosiology, logic, philosophic
anthropology, ethics, aesthetics, social philosophy etc.)
• Character and structure of the philosophical range of problems;
• Main periods of development in Philosophy and representatives of the philosophic thought
in Ukraine and in the world;
• Historical types of Philosophy, basic paradigms of philosophizing;
• Dominating strategies, conditions of formation of a clever, independent, responsible
personality;
be able to:
• Analyze philosophic literature, interpret philosophic texts and reveal their visional sense;
• Learn the skills of reasonable thinking (linguistic, research, cognitive, ethic, socialpsychological, social), also as the main factor of the reasonable, responsible, social and
moral behavior;
• Manipulate concepts, determine their meaning, role of the metaphors and analogies, be able
to use the art of dialogue;
• Compose and determine a problem, analyse information, ask questions, in the context of the
philosophical range of problems;
• See the difference, establish connections in different word phrases, manipulate facts, see
the strong and weak arguments, think logically etc;
• Listen and take into consideration point of view of the others, which can be discussed in the
dialogue, ask questions by themselves, make analogies, express own point of view, analyze and
which is very important, speak in public freely. Trust and care in this case have to promote
solidarity, cohesion, allegiance to the group, responsibility for yourself and others;
• Distinguish moral, legal, social problems;
• Orient in the modern world, ideology and in the work of social organizations, analyze facts and
phenomena, which take place in the society;
Assessment Forms: learning of the course presupposes two module tests within the total amount of
hours, one test and final control - exam.
Methodological materials:
1. Texts on lectures( printed and electronic variants)
2. Plans of workshops(( printed and electronic variants)
3. Thematic plan of the course
4. Tasks for the test and two module tests
5. Examination questions
Basic literature
Філософія. Курс лекцій. (Philosophy. Course of lectures) K., 1993.
Философия. Учебник для вузов. (Philosophy. The textbook for high schools) Ростов-наДону, 1995.
Философия XX века. (Philosophy of XX century)M., 1997.
Supplementary
Реале Дж., Антисери Д. Западная философия от истоков до наших дней. (The western
philosophy till the very beginning and up to nowdays ) В 4-х т. С-Пб.,1994
Соціальна філософія. (Social philosophy) К., 1994.
История философии в кратком изложении. (History of philosophy in brief) - M.,1991
Введение в философию. (Introduction in Philosophy)B 2-х ч. М, 1990.
Человек. Мыслители прошлого и настоящего о его жизни, с мерти и бессмертии.( A
man. Thinkers of the past and the present about his life, death and immortality)-M.,1991
Історія філософи на Україні(БМогу of Philosophy in Ukraine). K.,1987.
Мир философии. Книга для чтения.(The world of Philosophy. The book for reading) В 2-х ч..
M.,1991.
Фрейд 3. Психология бессознательного (Psychology of the unconscious) М, 1989.
Фромм Э. Анатомия человеческой деструктивности. ( Anatomuy of the human
disruptiveness) M. ,1994
Штанько В.И. Основные направления современной философии. Философия науки XX
века. Конспект лекций. (The basic directions of modern philosophy. Philosophy of science
of the XX-th century. The abstract of lectures.) X., 1993.
Штанько В.І., Сумятін В.М.Філософія в запитаннях і відповідях..( Philosophy in questions and
answers) Учбово-методичні матеріали для студентів заочної форми навчання. Харків, 1999.
HISTORY OF UKRAINIAN CULTURE
Lecturer: Marynyak Ruslana Stepanivna, Associate Professor.
Prior Requirements: studying of the course is based on knowledge, received from the general
course "History of Ukraine".
Aim of the course: is to extend the students' knowledge in History and theory of Ukrainian
culture, familiarize with the main problems of historical-cultural process in Ukraine within global
and European context. Following the completion of the course a student must:
- know modern interpretations of history of civilization and be able to apply them to the
Ukrainian materials;
understand principles of the interdisciplinary approach to studying of History of
Ukrainian Civilization
know historical conditions of functioning, basic periods of development and the most
important events, phenomena, figures of the Ukrainian cultural process; have the idea of
ethnic and national cultures of nations on territory of Ukraine; be able to discuss problems,
debatable questions of the Ukrainian cultural process; write a summary on chosen topic in
History of Ukrainian Civilization
- determine structural-morphologic peculiarities of Ukrainian Culture.
Course Description. Object, aim, tasks and structure of the course. Ukrainian and world culture.
Periodization of History of Ukrainian Civilization. Researches of History of Ukrainian Civilization:
M. Grushevsky, D. Antonovych, L. Chyzhevsky, O. Ohienko, I. Lysyak-Rudnytsky, O. Pritsyak, O.
Grabovych, O. Zabuzhko, M. Popovych.
The notion "culture": historical method, human perspective, correlation with the notion
"civilization". Cultural-historical eras. Cultural dominants in History of Ukrainian Civilization.
Discrecity of the Ukrainian culture. Cultural-historical regions of Ukraine and Europe.
Basic tendencies in development of modern cultural-historical research papers. Social and
intellectual history. Constructivism. Cultural change in the historical science of the second part of
the XX century. School of "Annals". Culture of mundanity.
Assessment Forms: studying of the course presupposes two module test within the total amount
of hours one test and final control - exam.
Manuals
1. Історія української культури: 36.матеріалів і документів (The history of Ukrainian
culture. The collection of materials and documents) / Упоряд.
БіликБ. таін.-K.,2000.
2. Історія української культури: Побут.Письменництво. Мистецтво. Театр.Музика. (The
history of Ukrainian culture. Literature genre. Art. Theater. Music )/ За ред. І.Крип'якевича. К.,
1994.
3. Культура і побут населення України.(The culture and customs of the population in
Ukraine)- 2-е вид., доп. та перероблене.- К., 1993.
4. Культурологія: Українська та зарубіжна культура: Навч. посіб./ За ред М.М.Заковича.- К.,
( Culturology : Ukrainian and foreign culture: manual edited by M.M. Zakonovich) 2004.
5. Мєднікова Г.С. Українська і зарубіжна культура XX століття: Навч. посіб.
(Ukrainian and foreign culture of XXth century: manual)- K., 2002.
6. Попович М. В. Нарис історії культури України.(Essay about the history of Ukrainian
culture)- K., 1999.
7. Терещенко Ю.І. Україна і європейський світ: Нарис історії від утворення старокиївської
держави до кінця XVI ст.: Навч.посібник.-(икгаіпе and European world: Essay about ht e
foundation of old Kiev state till the end of XVI century: manual) K., 1996.
8. Українознавство: Хрестоматія - посібник: У 2 кн.- (Ukrainian
study : reading book - manual; in two books) K., 1997.
9. Українська культура: історія і сучасність: Навч.посібник для студентів університетів і
педінститутів /(Ukrainian culture: history and modern times: manual for university students and
students of teachers' training institute )Черепахова CO., Скотний В.Г., Бичко І.В.. Біленко T.I.
та ін. - Львів, 1994.
10. Українська та зарубіжна культура: Навч.посіб./ За ред. М.Заковича. (Ukrainian and
foreign culture: manual edited by M.M. Zakonovich)- K., 2001, 2002.
11. Українська культура: Лекції / За ред. Д.Антоновича. (Ukrainian culture: lectures edited by
D. Antonovych)- K., 1993.
12. Українська художня культура: Навч.посіб. (Ukrainian art culture; the textbook) - K., 1996.
LITERATURE FOR THE WHOLE COURSE
4
Андерсон Б. Уявлені спільноти. Міркування щодо походження й поширення націоналізму.
(Imaged communities. Thoughts about the origin and expansion of nationalism) - K., 2001.
Войтович В. М. Українська міфологія. (Ukrainian mythology) - К.: Либідь, 2002.
Еорєлов М. С, Моця О. П., Рафальський О. О. Цивілізаційна історія України /( Civilized
history of Ukraine) HAH України; Інститут політичних і етнонаціональних досліджень;
Інститут археології. — К., 2005.
Гриценко О. Своя мудрість. Національні міфології та громадянська релігія в Україні.
(Own wisdom. National mythology and public religion in Ukraine) K., 1998.
Грушевський М.С. Історія української літератури: В 6 т., 9 кн. (History of Ukrainian
literature: in 6 volumes. 9th book)- K., 1993-1996. Грушевський M. C. Історія України- Руси: В
11 т. 12 кн.- (History of Ukraine-Rus. In 11 vol.
12th book) К., 1991-2000. Забужко О. С. Філософія української ідеї та європейський контекст:
франківський період.
(Philosophy of Ukrainian idea and European context: frankivskiy period) - K., 1993. Історія релігії
в Україні. У 10 т., -T.I. (History of religion щ Ukraine. In 10 vol. Volume 1) - K., 1996, T.2.-K.,
1997.
Історія української культури : В 5-ти тт.- (History of Ukrainian culture. In 5 volumes) - K., 20012005.
Історія української літератури: У 8 т. (History of Ukrainian literature In 8 volumes) - K., 19671971.
Історія українського мистецтва: У 6-ти т. (History of Ukrainian art. In6 volumes) - K.,19661970.
Історія української музики: В 6 т. (History of Ukrainian music. In 6 volumes) - K., 1989-1992.Тт. 1-4.
Історична міфологія в сучасній українській культурі. (History of mythology and modern
Ukrainian culture)K., 1998.
Кінан Е. Російські історичні міфи. (Russian historical myths) K.,2001.
Кравець О.М. Сімейний побут і звичаї українського народу: Іст.-етногр.нарис. (Family life
and customs of Ukrainian people. Historical-ethnographic essay) - K., 1966.
Кульчицький О. Український персоналізм. Філософська й етнопсихологічна синтеза.
(Ukrainian personalism. Philosophic and ethno-psychologic synthesis) - Мюнхен-Париж, 1985.
Липа Ю.І. Призначення України. (Mission of Ukraine)Львів, 1992. Лисяк-Рудницький І.П.
Історичні есе. В 2-х тт. (Historical essay. In 2 vol.)- К., 1994. Маланюк Є. Ф. Книга
спостережень.(The book of observations) K., 1995. Маланюк Є. Нариси з історії нашої
культури. (Essay about the history of our culture) - K., 1995. Нагорна Л. П. Політична культура
українського народу: історична ретроспектива і сучасні реалії / Інститут політичних і
етнонаціональних досліджень НАН України . (Political culture of Ukrainian people: historical
retrospective and modern religions)— K. : Стилос, 1998.
Наливайко Д. С. Рецепція України в Західній Європі XVI-XVIII ст. (Reception of Ukraine and
Western Europe of XVI-XVIII centuries) K., 1998.
Нариси з історії українського мистецтва.- (Essay about the history of Ukrainian art) K., 1966.
Нечуй -Левицький І.С. Світогляд українського народу: Ескіз української міфології. - 2-е
вид.(Outlook of Ukrainian people: Sketch of Ukrainian mythology) - K., 1992.
Павленко Ю.В. Історія світової цивілізації. Соціокультурний розвиток людства. (The history
of world civilization. Social and cultural development of mankind) - K.,1996.
Розвиток філософії в Українській РСР. (The development of philosophy in Ukrainian RSR) -K.,
1968.
Семчишин М. Тисяча років української культури (історичний огляд українського
культурного процесу). (Hundred years of Ukrainian culture( historical view of Ukrainian
cultural process) - K., 1993.
Український драматичний театр: Т. 1-2. (The Ukrainian dramatic theatre. Volume 1-2)- K.,
1959-1967.
Українці: народні вірування, повір'я , демонологія. (The Ukrainians; national believes,
demonology) - K., 1991.
Феномен української культури. Методологічні засади осмислення. (The phenomenon of
Ukrainian culture. Methodological principles of comprehension) - K., 1991. Шевченко Ігор.
Україна між Сходом і Заходом. Нариси з історії культури до початку ХУШ століття. Пер. з
англ. Shevchenko Igor. Ukraine between East and West, Essays on history of civilization till the
beginning of XVIII century) Львів, 2001.
Яковенко Н.М. Нарис історії середньовічної та ранньомодерної України. Вид. 2-е,
перероблене та розширене. (Essay on history of medieval and early modern Ukraine, 2 nd edition)K., 2005.
Literature for lectures and seminars
Асеев Ю.С. Джерела: Мистецтво Київської Русі. ( Art of Kyiv Rus)- К., 1980.
Білецький O.I. Від давнини до сучасності: Вибрані праці: В 2-х тт. (From old times till
nowadays: Selected works. In two volumes)- K., 1960.
Білецький П.О. "Козак Мамай" - українська народна картина. - ("Kozak Mmai" -Ukrainian
national picture) Львів ,1960.
Білецький П.О. Українське мистецтво другої половини XVII-XVIII століття. (Ukraininan art
of the second part of XVII-XVIII centuries) - K., 1981.
Білецький О.І., Дейч О.Й. Тарас Григорович Шевченко. Літературний портрет. - 2-е вид.
(Taras Grigory Shevchenko. Literary portrait. - 2th kind.) - K., 1961.
Боровский Я.Е. Мировоззрение древних киевлян.( Outlook of ancient inhabitants of Kiev) - K.,
1982.
Булашев Г.О. Український народ у своїх легендах, релігійних поглядах та віруваннях:
космогонічні українські народні погляди та вірування. (Ukrainian people in its legends,
religious views and believes: cosmogonic Ukrainian national views and believes) - K.,1993.
Вишенський І. Твори. (Works) - K., 1959.
Высоцкий С.А. Средневековые надписи Софии Киевской (По материалам граффити XI-XVII
в.в). (Medieval inscriptions of Sofia Kiev (On materials of graffiti XI-XV II century))- K., 1976.
Головко А.Б. Древняя Русь в историко-культурном развитии славянских народов //
Культурные и общественные связи Украины со странами Европы: Сб. науч. тр. (Ancient
Russia in historical and cultural development of the slavic people//Cultural and public relations of
Ukraine with the countries of Europe)- K., 1990.- C.16-34.
Горленко В.Ф., Бойко І.Д., Куницький О.Г. Народна землеробська техніка українців.(national
farming technique of Ukrainians) - К., 1971.
Горский B.C. Философские идеи в культуре Киевской Руси. (Philosophical ideas in the
culture of the Kiev Rus) - K., 1988.
Грабович Г.Ю. До історії української літератури: Дослідження, есе, полеміка .(То the history
of Ukrainian literature: research, essay, polemic)- K., 1997. Грабович Г. Ю.Шевченко як
міфотворець: Семантика символів у творчості поета. (Shevchenko as a writer of myths.
Semantic of symbols in the creative work of the writer)- K., 1991.
Грабович Г.Ю. Шевченко, якого ми не знаємо (з проблематики символічної автобіографії та
сучасної рецепції поета).( Shevchenko as we don't know (from the problems of symbolic
autobiography and modem reception of the writer)- K., 2000.
Грищенко О.А. Своя мудрість. Національні міфології та громадянська релігія в Україні. (Own
wisdom. National mythologies and public religion in Ukraine) - K., 1998. Даркевич В.П.
Единство и многообразие древнерусской культуры (конец X - XIII вв.) // Вопросы истории.
(Unity and variety of Old Russian culture (end of X - X III centuries)//Historical questions.) -1997.№ 4.
Дзюба І. Інтернаціоналізм чи русифікація? (Internationalism or russianization?)- K., 1998.
Духовная культура древних обществ на территории Украины. ( Spiritual culture of ancient
societies in territory of Ukraine) - K., 1991.
Жаборюк А. А. Український живопис останньої третини XIX - поч. XX ст. ( Ukrainian
painting of the third part of XIX - XX centuries) - К.-Одеса, 1990. Жолтовський П.М.
Український живопис XVII - XVIII ст.( Ukrainian painting of XVII XVIII centuries) -К., 1978.
Забужко О.С. Філософія української ідеї та європейський контекст: франківський період.
( Philosophy of Ukrainian idea and European context: frankivskiy period)- K., 1993. Забужко О.С.
Шевченків міф України: Спроба філософського аналізу.- 2-е вид., випр.(
Shevchenkian myth of Ukraine. The attempt to philosophic analysis - 2n revised edition) - K.,
2001.
Запаско Я. П.Мистецтво книги на Україні XVI - XVIII століть. (The art of book in Ukraine
of XVI- XVIII centuries) -Львів, 1971.
Затенацький Я.П. Українське мистецтво першої половини XIX CT.(The Ukrainian art of the
first part of XIX century)-K., 1965. Іван Котляревський у документах, спогадах,
дослідженнях. (Ivan Kotlyarevskii in documents, recollections and research) - K., 1969.
Іван Франко. Життя і творчість. (Ivan franko. Live and creative work) - K., 1956. Изборник
Святослава 1073 г.: Сб.ст. (Collection of Svyatoslav 1073)- M., 1977. Ільєнко І.О. У жорнах
репресій: Оповіді про українських письменників (За архівами ДПУ
- НКВС). (In millstones of repression: stories about Ukrainian writers) - K., 1995. Ільницький О.
Український футуризм 1914-1930. (Ukrainian futurism 1914-1930- Львів,
2003.
Ісаєвич Я.Д. Братства та їх роль у розвитку української культури XVII - XVIII
ст.(Fraternities and their role in the development of Ukrainian culture) - K., 1966. Ісаєвич Я. Д.
Джерела з історії української культури епохи феодалізму.( Sources from the
history of Ukrainian civilization of the feudalism times) - K., 1972.
Касьянов Г. В. Незгодні: Українська інтелігенція в русі опору 1960 - 80-х років.-(Ukrainian
intelligentsia of the repulse movement of 1960 - 80es) K., 1995.
Кравченко Б. Соціальні зміни і національна свідомість в Україні XX ст. (Social changes and
national consciousness in Ukraine in XX century)- K., 1997.
Кремень В.Г., Табачник Д.В., Ткаченко В.М. Україна: альтернативи поступу (критика
історичного досвіду).(Ukraine: alternatives of progress (the picture of historical knowledge) K., 1996.
Кувеньова О.Ф. Громадський побут українського селянства.(Рublic life of Ukrainian peasantry)
- К., 1966.
Культура славян и Русь.( Culture of the Slavs and Rus)- M., 1998.
Культурне будівництво в УРСР: Найважливіші рішення Комуністичної партії і Радянського
уряду. 1917-1959 : Зб. док.(Cultural building in the URSR the most important decisions of
communist party and Soviet government. 1917- 1959)- K., 1961. - T.l-2. Культурное наследие
Древней Руси. Истоки, становление, традиции. (Cultural heritage of Ancient Russia. Sources,
formation, traditions )- M., 1976.
Курбатов Г.Л., Фролов Э.Д., Фроянов И.Я. Христианство: Античность. Византия. Древняя
Русь. (Christianity: Antiquity. Byzantium. Ancient Rus)- JI., 1988.
Курносов Ю. О. Інакомислення в Україні (60-ті - перша половина 80-х pp. XX ст.)
(Heterodoxy in Ukraine, (the 60s-beginnmg of the 80s of XX century))- K., 1994.
Лазарев В.Н. Византийское и древнерусское искусство: Статьи и материалы. (The Byzantian
and Old Russian art: Articles and materials )- M., 1978.
Лелеков Л.А. Искусство Древней Руси и Восток.( Art of Ancient Rus and the East )- M., 1978.
Лизанчук В.В. Навічно кайдани кували: Факти, документи, коментарі про русифікацію в
Україні.(Forever chains forged: facts, documents, comments about the russification in Ukraine Львів, 1995.
Липинский В. В. Становлення і розвиток нової системи освіти в УСРР у 20-ті роки.
(Formation and development of new education system in USRR) Донецьк, 2000.
Літературна спадщина Київської Русі і українська література XVI - XVIII ст. (Literary
inheritance of Kyiv Rus and Ukrainian literature of XVI - XVIII cent.)- K., 1981.
Лихачев Д. С. « Слово о полку Игореве» и культура его времени.( "The Tale of Igor's
Campaign" and culture of his times) - Л., 1985.
Логвин Г.Н. З глибин: Давня книжкова мініатюра XI - XVIII ст.( From depths: the old book
miniature of XI - XVIII century)- K., 1974.
Мицько І.З. Острозька Cлов'яно - греко- латинська академія (1576-1636).( Ostroz'ka slavic greek- latin academy) - К., 1990.
Назаренко И.Д. Общественно-политические, философские и атеистические взгляды
Т.Г.Шевченка.(T.G. Shevchenka's Political, philosophical and atheistic views).- M., 1961.
Наливайко Д.С. Спільність і своєрідність: українська література в контексті європейського
літературного процесу.( Community and originality: Ukrainian literature is in the context of
European literary process) - K., 1988.
Наливайко Д.С. Українське бароко в контексті Європейського літературного процесу XVII
ст. (The Ukrainian baroque is in the European literary process of XVII century) // Радянське
літературознавство. - 1972.- № 1.
Національні відносини в Україні у XX ст.: Зб. док. і матеріалів.(National relations in Ukraine in
XX century: collection of documents and articles)- K., 1994.
Нікітенко H.M. Собор святої Софії в Києві.( Saint Sophia Cathedral in Kiev) - K., 2000.
Нічик В.М., Литвинов В.Д., Стратій ЯМ. Гуманістичні і реформаційні ідеї на Україні.
(Humanistic and reformational ideas in Ukraine) - K., 1990.
Овсійчук В.А. Українське мистецтво другої половини XVI - першої половини XVII століть.
Гуманістичні та визвольні ідеї. - (Ukrainian art of the second part of XVI century-first part of
XVII) K., 1985.
Откович В. П. Народна течія в українському живопису XVII -XVUI століть.( National
tendency in Ukrainian painting of XVII -XVIII centuries) - K., 1990.
Пам'ятки братських шкіл на Україні (кінця XVII - поч. XVIII ст.). (Monuments of fraternal
schools of Ukraine of th end of XVII-beginning of XVIII century) - K., 1988. Памятники
литературы древней Руси: XII BeK(Monuments of the literature of ancient Rus): X II a century .M., 1980.
Піскун В.М., Ціпко А.В., Щербатюк О.В. та ін. Українство у світі: традиційність культури та
спільнотні взаємини. Монографія. (Ukraine and world: cultural traditions and social relations.
Monography)- K., 2004.
Погожева А.П. Антроморфная пластика Триполья.( Antromorphic plasticity of Tripolja) Новосибирск, 1983.
Попович М.В. Мировоззрение древних славян. (Outlook of ancient Slavs )- К., 1999. Попович
М.В. Григорій Сковорода: філософія свободи.(Grygorii Skovoroda: the philosophy of liberty)K., 2007.
Присяжнюк Ю.П. Українське селянство Наддніпрянської України: сакраментальна історія
другої половини XIX - початку XX ст. (Ukrainian peasantry of the Dnieper Ukraine .sacramental
history) - Черкаси, 2007.
Раевский Д.С. Модель мира скифской культуры.( Model of the world of Scythian culture )-M.,
1985.
Репресоване "відродження": Про трагічну долю української інтелігенції.(About the tragic fate
of the Ukrainian intelligentsia) - K., 1993. Російщення України (Russian Ukraine).- K., 1992.
Русалка Дністрова: Документи і матеріали. (Water nymph of Dniester)- K., 1989.
"Руська трійця" в історії суспільно-політичного руху і культури України. - ("Russian trinity"
in the history of social and political movement and culture in Ukraine) K., 1987.
Рыбаков Б.А. Язычество Древней Руси. ( Paganism of Ancient Russia) - M., 1987.
Professional Ukrainian
Lecturer: Maryniak Ruslana Stepanivna, Associate Professor.
Preliminary conditions: school course of Ukrainian.
Course description: Structural levels of language science. Address. Name and patronymic
spelling. Vocabulary of the modern Ukrainian literary language. Special cases of the word use.
Surzhyk (Russian-Ukrainian sociolect). Interlingual homonyms. Capital letter, apostrophe, soft sign
spelling. Prefixes spelling, suffixes spelling, simplification in the groups of consonants,
reduplication, elongation. Morphological norms. Noun. Division into declension, conjugation,
peculiarities of gender determination, pluralia tantum, singularia tantum. Adjective. Peculiarities of
degrees of comparison. Possessive adjectives. Word building suffixes. Spelling of compound words
(nouns, adjectives). Verbal forms. Participles I, II. Adjective spelling. Declension and spelling of
pronouns. Declension and spelling of numerals. Noun-numeral connection. Spelling of functional
parts of speech. Stylistic peculiarities of preposition and particle usage in the scientific and official
styles. Punctuation. Punctuation marks with parentheses, word-combinations, sentences. Specificity
of the sentence building with direct and indirect citing. Direct speech. Punctuation marks with
separated constructions. Apposition. Difficult cases of translating sentences with participle phrases.
Notion about document, requisites of documents, classification, page design standards, form and
service list. Documents of special contents, principles of composing. Informational documents.
Documents concerning personnel and contracts.
Assessment Forms: tests in the 2d semester, final tests in the 3d and 5th semesters, examination in
the 4th semester.
Literature for the whole course
1. Антоненко-Давидович Б. Д. Як ми говоримо (The Way We Speak) / Б. Д. АнтоненкоДавидович. – К.: Либідь, 1991. – 253 с.
2. Афанасьева О. В. Сравнительная типология английского и русского языков: Практикум
(Comparative Typology of English and Russian) / О. В. Афанасьева, М. Д. Резвецова, Т. С.
Самохина. – М.: Физматлит, 2000. – 201 с.
3. Бевзенко С. П. Сучасна українська мова. Синтаксис: Навч. Посібник (Modern Ukrainian.
Syntax : Educational manual) / С. П. Бевзенко. – К.: Вища шк., 2005. – 270 с.
4. Безпояско О. Г., Городенська К. Г., Русанівський В. М. Граматика української мови.
Морфологія (Ukrainian Grammar. Morphology) / О.Г. Безпояско, К.Г. Городенська,
В. М. Русанівський. – К.: Либідь, 1993. – 336 с.
5. Брицин М. Я. Порівняльна граматика української і російської мов (Comparative Grammar of
Ukrainian and Russian) / М. Я. Брицин, М. А. Жовтобрюх, А. М. Майборода. – К.: Вища шк.,
1978. – 272 с.
6. Вихованець І. Р. Теоретична морфологія української мови (Theoretical Ukrainian
Morphology)
/
І. Р. Вихованець. – К.: Пульсари, 2004. – 400 с.
7. Головащук С.І. Складні випадки наголошення: Словн.-довід.( Difficult Cases of Stressing:
Vocabulary-handbook)
/
С. І. Головащук. – К.: Либідь, 1995. – 192 с.
8. Городенська К. Г. Визначення неозначеної кількості засобами української мови
(Determination of the Indefinite Quantity by Means of the Ukrainian Language) / К. Г.
Городенська
//
Мовознавство.
–
1978.
–
№
4.
–
С. 18–21.
9. Городенська К. Г. Частки (Particles) / К.Г. Городенська // Безпояско О. К., Городенська К.
Г., Русанівський В. Н. Граматика української мови: Морфологія / О.К. Безпояско, К.Г.
Городенська, В.Н. Русанівський. – К.: Либідь, 1993. – С. 308–318.
10. Горпинич В. О. Морфологія української мови (Morphology of the Ukrainian Language) / В.
О. Горпинич. – К.: ВЦ «Академія», 2004. – 336 с.
11. Словник Гринчишин Д., Капелюшний А., Сербенська О., Терлак З -довідник з культури
української мови (Ukrainian Culture Vocabulary) / Д. Гринчишин, А. Капелюшний,
О. Сербенська, З. Терлак. – Львів: Фенікс, 1996. – 368 с.
12. Дубова О. А. Типологічна еволюція морфологічних систем української і російської мови
(Typological Evolution of Morphological Systems in the Ukrainian and Russian Languages) / О.
А. Дуброва. – К.: Вид-во центр. КНЛУ, 2002. – С. 110–205.
13. Жогіна І. В. Морфологічні особливості мови східнослов’янського літописання XVІІ ст.
(на матеріалі Єсиповського літопису та його редакцій): Автореф. дис. …канд. філол. наук за
спец. 10.02.02 – рос. Мова (Morphological Peculiarities of the Language of Eastslavic Chronicles
of XVІІ)/ Жогіна Ірина Володимирівна. – К., 2001. – 18 с.
14. Загнітко А. П. Основи українського теоретичного синтаксису (Ukrainian Theoretical
Syntax
Principles)
/
А. П. Загнітко. – Горлівка: ГДПІМ, 2004. – Ч. 2. – 253 с.
15. Збірник вправ і завдань з курсу «Сучасна українська мова (культура мовлення і практична
стилістика)»: Для студ. 1 курсу ф-ту «Референт-перекладач» ( Collected exercises and tasks on
the course (Culture of Speech and Practical Stylistics)`)/ Нар. укр. акад. [Каф. Українознав]. – Х.:
Вид-во НУА, 2004. – 191 с.
16. Збірник вправ і завдань з курсу «Сучасна українська мова (Синтаксис і пунктуація)»: Для
студ. 2 курсу ф-ту «Референт-перекладач» (Collected exercises and tasks on the course `Modern
Ukrainian (Syntax and Punctuation)` / Нар. укр. акад. [Каф. українознавства]. – Х.: Вид-во
НУА, 2007. – 191 с.
17. Зубков М. Г. Сучасна українська ділова мова: [Підруч. для вищ. навч. закл.] (Modern
Business Ukrainian) / М. Г. Зубков. – Х.: Торсiнг, 2005. – 447 с.
18. Зубков М. Г. Український правопис: Комплекс. довід. (Ukrainian Orthography: Handbook) /
М. Г. Зубков; За ред. В. С. Калашника. – Х.: Торсiнг, 1998. – 144 с.
19. Капелюшний А.О. Стилістика. Редагування журналістських текстів: Практичні заняття
(Stylistics. Editing Journalist Texts: Workshop exercies) . – Львів: ПАІС, 2003. – 555 с.
20. Каранська М. І. Синтаксис сучасної української мови: Навч. посібник (Modern Ukrainian
Syntax: Educational manual) / М. І. Каранська. – К.: Либідь, 1995. – 312 с.
21. Козачук Г. О., Шкуратяна Н. Г. Практичний курс української мови: Навч. посібник (
Practical Course of Ukrainian: Educational manual) / Г. О. Козачук, Н. Г. Шкуратяна. – К.: Вища
шк., 1993. – 367 с.
22. Кононенко П.П. Українська мова (The Ukrainian Language). – К.: Либідь, 1990. – 120 с.
23. Кубрякова Е. С. Части речи в ономасиологическом освещении (Parts of Speech in
Onomasiological
Interpretation)
/
Е. С. Кубрякова. – М.: Наука, 1978. – 230 с.
24. Культура української мови: Довід. (Culture of the Ukrainian Language: Handbook) / С. Я.
Єрмоленко,
Н. Я. Дзюбишина-Мельник, К. В. Ленець та ін.; За ред. С. Я. Єрмоленко. – К.: Либідь, 1990. –
304 с.
25. Лукінова Т. В. Числівники в слов’янських мовах (порівняльно-історичний нарис)
(Numerals in Slavic Languages) / Т.В. Лукінова. – К. : Наук. думка, 2000. – 370 с.
26. Максименко В.Ф. Сучасна ділова українська мова (Modern Business Ukrainian). – Харків:
ТОРСІНГ ПЛЮС, 2006. – 300 с.
27. Матвіяс І. Г. Іменник в українській мові (The Noun in the Ukrainian Language) / І. Г.
Матвіяс. – К.: Рад. школа, 1974. – 184 с.
28. Мацько Л. І. Українська мова: Навч. посіб.(The Ukrainian Language: Educational manual)
/Л.
І.
Мацько,
О. М. Мацько, О.М. Сидоренко. – Донецьк: ТОВ ВКФ «БАО», 2003. – 480 с.
29. Мелащенко Ю. Б. Предикативні форми на -но, -то у лінгвістичній термінології
(Predicative Forms of -но, -то in Linguistic Terminology) / Ю.Б. Мелещенко // Українська
термінологія і сучасність: Зб. наук. праць. – К.: КНЕУ, 2001. – Вип.. 4. – С. 261–264.
30. Михайлюк В. О. Українська мова професійного спілкування: Навчальний посібник(The
Ukrainian Language of Professional Communication). – К.: ВД «Професіонал», 2005. – 496 с.
31. Пазяк О. М., Сербенська О.А., Фурдуй М. І., Шевченко Л. Ю. Українська мова: Практикум
(The Ukrainian Language: Exercises / О. М. Пазяк, О. А. Сербенська, М. І. Фурдуй, Л. Ю.
Шевченко. – К.: Либідь, 2000. – 384 с.
English of Special Use
Lecturer: Motorniuk Tetiana Mykolaivna, English Language Department Professor.
Aim of the English language course is in forming students` foreign communicative competence and
providing upbringing, education and development of a student’s individuality in the process of
teaching.
Task lies in students` acquisition of language knowledge, linguistic and cultural studies knowledge
and cultural knowledge as well as forming the system of speaking, reading, writing and listening
skills.
Following the completion of the course a student must:
Know:
 rules of English phonetics;
 grammar material: Participles I,II (forms and functions). Participle complexes. Independent
participle complex. The infinitive, its forms and functions. Objective infinitive complex.
Prepositional infinitive complex. The gerund, its forms and functions. Gerundial complexes.
Modal verbs. Conditional mood;
 general and professional vocabulary.
Be able to:
 Follow and keep up a conversation on familiar topic, or to take part in a conversation on a
wide range of topics;
 Review texts in search of corresponding information and understand detailed instructions or
advice;
 Make notes during the conversation of other people or write a letter with non-standard
request, write annotations to scientific articles.
Assessment Forms:
1. Method of oral control: individual or group questioning.
2. Method of written control: test and word dictation, translation, written final test etc.
3. Method of written test.
4. Method of self-control.
1-4 semesters – final tests, 5 semester – examination.
Forms of Controlling Students` Progress:
Topic 1 – written test
Topic 1 and Topic 2 – lexico-grammatical translation
Topic 3 – oral questioning
Topic 4 – written or oral questioning in the form of annotation to the scientific article according to
the specialization.
Criteria for Evaluation
Points: 1 module
Points: final test
Total
Teacher-guided
60
40***
100
classes
(30*+30**)
(current progress +
module test)
* current progress = average point х 6
**written module test
***final test = average point х 8
Written module test
Tests
Number of tasks
30
Number of control
elements
Points
Time
30
30
(1 point for every
right answer)
45 minutes
Criteria for evaluating written module test:
Number of active Penalty
points Penalty
points Penalty
points Penalty
points
points
for «excellent»
for «good»
for «satisfactory» for
«unsatisfactory»
30
0 -3
4-8
9-15
16 and more
Written final test
1. Translation from foreign language
Type of task
Number of control
elements
Translation of
10
sentences
2. Lexico-grammatical translation
Type of task
Number of tasks
Translation from
native language
10
Translation
Number of points
Time
20
45 minutes
Number of points
Time
20
45 minutes
Scale of mark correspondence (according to national system)
to the number of penalty points
Number of
Penalty points Penalty points Penalty points Penalty points
active points
for
for «good»
for
for
«excellent»
«satisfactory» «unsatisfactor
y»
20,5 and more
40
0– 4
4,5 - 12
12,5 – 20
Minimal number of points that a student must get to pass the module is – 30 (50 %).
A student must have not less than 30 points (50%) of study material of the 1st module to be
admitted to the semester test.
Assessment grades
10. Supportive materials
10.1 Recommended literature
Basic
1. English for Computer Science Students. Навчальний посібник під ред. Т.В. Смирнової.
М.: Флінта: Наука, 2004.
2. Dinos Demetriades. Information Technology. – Oxford University Press. – 2003. – 40p.
3. Пройдаков Э., Теплицкий Л.М. Словарь компьютерной (вычислительной) и бытовой
техники (Vocabulary of Computer and Household Appliances)., М. 2004.
4. Аутентичні тексти з фаху з іноземних джерел (Authentic professional texts from foreign
sources).
Supplementary:
1. Raymond Murphy. English Grammar In Use For Elementary Students. – Cambridge
University Press. – 1990. – 259 p.
2. Raymond Murphy. English Grammar In Use For Intermediate Students. – Cambridge
University Press. – 1994. – 350 p.
3. Swan C. Walter. How English Works. – Oxford: Oxford University Press, 1997. – 358 p.
4. Michael McCarthy, Felicity O’Dell. English Vocabulary In Use. - Cambridge University
Press. – 2005. – 309 p.
5. Филюшкина Л.Т., Фролова М.П. Сборник упражнений (Collected Exercises). – Москва:
Международные отношения, 1995. – 157 с.
6. Голицынский Ю. Сборник упражнений (Collected Exercises). – Санкт-Петербург:
Каро, 2004. – 537 с.
7. Газети “Day”, “Kyiv Post” (“Day”, “Kyiv Post” Newspapers).
10.2. Informational resources
Basic:
1. Bell English Online
http://www.bellenglish.com/
2. English with the BBC Service
http://www.bbc.co.uk/worldservice/learningenglish/index.shtml
3. Oxford University Press
http://www.oup.co.uk/
4. OUP online
http://www.oup.com/online/
Oxford DNB, online references, etc.
5. Longman Dictionary
http://www.ldoceonline.com/
6. Internet Grammar of English (very academic)
http://www.ucl.ac.uk/internet-grammar/home.htm
7. English Grammar and Writing online
http://www.edufind.com/english/grammar/
8. Good tests and exercises in English Grammar
http://www.usingenglish.com/online-tests.html
9. Vocabulary and Grammar Exercises online
http://www.roseofyork.co.uk/learning.html
10. English for learners
http://www.churchillhouse.com/english/learners.html
Supplementary:
1. What is the latest news in the Guardian?
British Press online
http://www.wrx.zen.co.uk/britnews.htm
2. What is the word of the day?
Oxford Dictionaries online…
http://www.askoxford.com/
3. Enjoy English idioms with Cambridge University Press
CUP Activity Page
http://www.dictionary.cambridge.org/activity.htm
4. Find the script of your favourite movie
Scripts online
http://www.joblo.com/moviescripts.php
5. What’s new in Headway?
Phrase builder with Headway
http://www.oup.com/elt/global/products/headway/everydayenglish/
6. Can you sing All My Loving with us?
Song Lyrics site for educational purposes
http://www.lyricz.org/search
DISCIPLINE ANNOTATION
Algorithmic languages and programming
Lecturer: Tolstoluz’ka Olena Henadiivna, PhD (Engineering), Senior Associate, Associate
Professor of the Department of Theoretic and Applied System Engineering.
Preliminary conditions: course studying is based on theoretical and practical knowledge received
by the students during the course of Informatics, Discrete Mathematics, Advanced Mathematics.
Aim: to introduce students to knowledge about algorithms, logic of programming and basic notion
of structural programming using C++ language (words, grammar and punctuation of the
programming language, destination and correct use of every function).
Task:
Following the completion of the course a student must:
Know:
 Stages of problem solution using a computer. Essence of each stage.
 Basic structures of algorithm. Main principle of structural designing. Methods of algorithm
composing.
 Program structure and stages of its processing. Notion of compiler, interpreter. Title files.
Program specification. Rules of good style in programming.
 Memory model. Presenting numbers in different systems of calculus. Binary and
hexadecimal (hex) systems. Complement code.
 Type conception. Constants, variables, data types. Type classification. Automatic
presentation of full types. Listing. Type transformation.
 Operations. Precedence. Rules and examples of accomplishment.
 Main operators. Awarding, ramification, multiple choice, cycle. Types of cycles and
principles of their use.
 Functions. Description, definition, call. Formative and actual parameters. Structure of
memory that is used (code, data, stack, heap). Ways of parameter transfer. Value
parameters.
 Dynamic array. Different ways of multivariable dynamic array organization.
 Structures, uniting. Use of listing, structures and uniting for storage data with variable part.
 Fractal algorithms and functions.
 Files. Work with files. Text and binary files.
 Abstract data types. Stacks. Push-up lists. Tree circuits.
 Graphic chart. Means of graphic charts presenting.
 Standard algorithms on graphic charts.
 Sorting and search.
 Simple algorithms of sorting. Improved algorithms of sorting.
 Notion of external sorting. Algorithms of external sorting
 Algorithms of searching. Line and binary search.
Be able to:
 Work out simple algorithms with the use of keyboard entry of the input data and main
operators of C++ language.
 Work with worksheets of coding, in particular, with various groups of symbols including
control symbols.
 Work out programs in which processed data sequence must be stored in the compile-time
file.
 Specify and project functions from the point of view of reuse, separate input and output
parameters and local variables of functions.
 Work out programs with the use of dynamic memory: controlling location in the data heap,
memory clearing for further use, address arithmetic and data access with the help of flush
from constant address. Use structures for storage of polytypic information.
 Use mechanisms of fractal functions work.
 Work with lists and trees.
 Use simple and improved sorting algorithms.
 Work out programs with the use of search algorithm.
Course description. Introduction. Some facts from the history of calculation. Stages of problem
solving with the help of computer. Essence of each stage. Specimen. Algorithm basic structures.
Main principle of structural projecting. Methods of algorithm composing. Step-by-step
detailing, up-down and down-up design. Program structure and stages of its processing. Notion
of compiler, interpreter. Title files. Program specification. Rules of good style in programming.
Memory model. Calculus system. Presenting numbers in different systems of calculus. Binary
and hex systems. Complement code.
Type conception. Constants, variables, data types. Type classification. Automatic presentation
of full types. Type transformation. Operations. Precedence. Rules and examples of
accomplishment. Work with bit flags. Main operators. Awarding, ramification, multiple choice,
cycle. Types of cycles and principles of their use. Notion of array. Work with static array.
Functions. Description, definition, call. Formative and actual parameters. Structure of memory
that is used (code, data, stack, heap). Ways of parameter transfer. Value parameters. Global and
local variables, principle of localization. Memory classes. Local static variables. Notion of
indicator. Dynamic variables. Parameters address transfer. Dynamic array. Different ways of
multivariable dynamic array organization. Bars. Work functions with the bars. Function
indicator. Functional type. Function as parameter. Function arrays. Structures, uniting. Use of
listing, structures and uniting for storage data with variable part. Fractal algorithms and
functions. Files. Work with files. Text and binary files. List. One-way list. Two-way list.
Abstract data types. Review. Stack. Means of realization. Wait list. Means of realization. Trees.
Trees organization. Binary trees. Ways of the tree circuit. Main functions of work with the
binary trees. Graphic chart. Means of graphic charts presenting. Standard algorithms on graphic
charts. Sorting and search. Review of the standard algorithms. Simple sort algorithms: selection
sort, insertion sort, bubble sort. Improved sort algorithms: Shell sort, pyramidal sort, quick sort.
Notion of external sorting. Algorithms of external sorting. Algorithms of searching. Line and
binary search.
Assessment forms. The course `Algorithmic languages and programming` is studied in the 1st and
2 semesters and provides lectures, laboratory researches, workshops and independent work. In the
1st semester the students take final test, in the 2nd – examination.
Recommended literature:
Basic:
1. .Павловская, Татьяна Александровна C/C ++. Программирование на языке высокого
уровня : учебник для вузов (Programming on a High Level Language: exercise-book for higher
educational establishments): / Павловская, Татьяна Александровна . - СПб.: Лидер, 2010 . 460 с.
2. Павловская Т. А., Щипак Ю.А. С\С++. Структурное программирование: Практикум
(Structural Programming: Workshop Exercises) – СПб.: Питер, 2002 . - 240 с.
3. Прата, Стивен Язык программирования C ++. Лекции и упражнения. Platinum Edition :
Методическое пособие (C++ Language of Programming. Lectures and Exercises. Platinum
Edition: Methodical Manual) : перевод с : англ. / Прата, Стивен . - М.; СПб.; К. :
ДиаСофтЮП, 2005 . - 1097 с.
Supplementary:
1. Глушаков, Сергей Владимирович. Язык программирования С++: Учебный курс (C++
Language of Programming: Educational Course): / Глушаков, Сергей Владимирович, Коваль,
Александр Викторович, Смирнов, Сергей Викторович . - Х. : Фолио ; Ростов-н/Д : Феникс,
2001 . – 500 с.
2. Харви Дейтел, Пол Дейтел. Как программировать на С (How to Program on C): пер с англ. –
М.: ЗАО «Издательство БИНОМ», 2000. – 1008с.
Informational resources:
1. Комп’ютерний клас.
Інтегроване програмне середовище Microsoft Visual Studio 2008 (Computer Class. Integrated Program
Environment Microsoft Visual Studio 2008).
DISCIPLINE ANNOTATION
Components of Complex Computer Network
Lecturer: Rassomakhin Sergii Henadiiovych, PhD (Engineering), Associate Professor, Full
Professor of the Department.
Aim: studying of modern theoretical and practical basis of organization and structure of
connection channels and lines of computer systems, transformation of forms of presenting
information and data in the channels of multilayer digital hierarchy, principles of realization of
mobile network, systems of private call and truncking systems.
Course task:
Following the completion of the course a student must:
Know:
 Main regularities and modern methods of realization of complex computer system elements;
 Kinds and characteristics of physical connection lines (wire, optical, radio, radio-relay,
satellite);
 Methods of transformation of analogous forms of presenting information into digital ones;
 Modern methods of digital flows packing;
 Principles of organization of multichannel connection and multiple access using Frequency
Digital Multiple Access, Time Digital Multiple Access and Code Digital Multiple Access;
 Principles and main standards of structure of plesiochronous and synchronous digital
hierarchy network;
 Means and systems of realization of mobile connection of the first, second (AMPS, GSM,
CDMA) and third (3G) generations;
 Constructional methods of Personal Connection Satellite System (PCSS);
 Main means of realization and characteristics of truncking network.
Be able to:
 Conduct engineer evaluating of characteristics of connection lines of various physical
nature;
 Make calculations and modeling of systems of transformation of analogous presenting
information forms into digital ones;
 Use in practice methods of compact coding and digital flows packing in complex computer
network;
 Calculate characteristics and conduct modeling of multiple access channels elements with
FDMA and TDMA;
 Conduct analysis and optimization of broadband systems with CDMA;
 Use modern algorithms of construction of multilayer digital hierarchy protocols;
 Evaluate productivity of different means of mobile network organization;
 Conduct main operations of designing and optimization characteristics of truncking systems
and satellite connection systems;
Course description: model of open systems cooperation. General information about the course.
Classification of electric communication systems. Classification, kinds and characteristics of
physical connection lines. Analogous systems of transmission. Forms and characteristics of
presenting informational signals. Mathematical basis of optimization of digital presenting of source.
Methods of digital flow packing. Methods of multichannel connection and multiple access. Systems
with frequency division (FDMA). Systems with time division (TDMA). Plesiochronous and
synchronous digital hierarchy. Broadband systems. System with code division (CDMA). Analogous
telephony of the first generation NMT-450, AMPS. GSM mobile network. CDMA mobile network
(2G, 2.5 G, 3G). Private connection satellite systems. Truncking network of data transmitting.
Prospects of complex computer network development.
Assessment Forms: current evaluation of students` progress during studying the course is done
during workshops and laboratory experiments through control questioning. Final control is done
during final tests and examinations.
Teaching aids and materials:
1. Курс лекцій "Компоненти складних комп'ютерних мереж", електронний варіант (Course of
lectures `Components of Complex Computer Network`, electronic variant).
2. Комплекс презентацій PowerPoint "Компоненти складних комп'ютерних мереж" (Complex
of Presentations PowerPoint` Components of Complex Computer Network` ).
3. Методичні вказівки до практичних та лабораторних робот (Methodical indications to
practical and laboratory works).
Recommended literature:
Basic:
1. Томаси У. Электронные системы связи. (Electronic Connection Systems) – М.: Техносфера,
2007.–1360 с.
2. Скляр Б. Цифровая связь. Теоретические основы и практическое применение (Digital
Connection. Theoretical Bases and Practical Use). Изд-е 2-е, испр.: Пер с англ.–М.: "Вильямс",
2003.–1104 с.
3. Гаранин М.В., Журавлев В.И., Кунегин С.В. Системы и сети передачи информации
(Systems and Networks of Informational Transmitting). – М.: Радио и связь,2001.–336 с.
Supplementary:
1. Вишневский В.М., Ляхов А.И., Портной С.Л., Шахнович И.В. Широкополосные
беспроводные сети передачи информации (Broadband Wireless Networks of
Informational Transmitting). – М.: Техносфера, 2005. –592 с.
2. Шахнович И.В. Современные технологии беспроводной связи (Modern Technologies of
Wireless Connection). –М.: Техносфера, 2006.– 288 с.
3. Величко В.В. Передача данных в сетях мобильной связи третьего поколения (Data
Transmitting in Mobile Connection Network of Third Generation). – М.: Радио и
связь,2005.– 332 с.
Informational resources:
http://www.studfiles.ru/
DISCIPLINE ANNOTATION
Computer Network
Lecturer: Losev Iurii Ivanovych, Full Professor, PhD (Engineering).
Aim: to introduce students to basic knowledge about computer network, principles and protocols of
functioning of local and global computer network. To develop practicle skills of work with
computer network.
Task:
Following the completion of the course a student must:
Know:
Notion about computer network structure. Notion about protocol. Main functions of protocols of
different levels. Protocol stack, organization of computer network. Physical layer protocols.
Characteristics of line signals used in computer network. HDLS, PPP link layer protocols and
others. Network layer protocols. Routing methods and protocols. Principles of addressing in IP
network. Principles of work of transport layer protocols. Ethemet, Token, Ring, FDDI protocols.
Protocols of Wireless Local Area Network. IEEE 802.11 standard. Principles of function of
Application layer protocols. Protocol of FTP files transmitting. E-mail protocols. HTP protocols.
Be able to:
Use network utilities OC Windows. Use network analyzers. Conduct researches of efficiency of
protocols of various levels. Work with FTP delivery protocols. Work with e-mail protocols SMTP,
POP-3, IMAP-4. Work with HTTP protocol.
Course description:
General information about computer network. Physical layer protocols. General characteristics of
link layer protocols. HDLS, PPP link layer protocols. Methods of network access. Main
characteristics of 802.x standard protocols. Characteristics of Wireless Local Area Network. Main
functions of network layer. Strategies and methods of routing. Frame Relay, x 25, ATM
technologies. Addressing in IP network. Transport and application layer protocols. TCP and UDP
protocols. E-mail protocols. POP-3, HTTP, FTP protocols.
Assessment Forms: evaluation of students` progress is done during workshops and laboratory
experiments through testing. The final control is done during the test and examination.
Teacher aids and materials:
1. Навчальний посібник «Комп’ютерні мережі», електронний варіант (Educational manual
`Computer network`, electronic variant).
2. Мультимедійне обладнання та електронний варіант наочних посібників (Multimedia
equipment and electronic variant of the demonstrative appliances).
3. Методичні вказівки к лабораторним роботам (Methodical instructions to the laboratory
experiments).
Recommended literature:
Basic:
1. В. Олифер, Н. Олифер «Компьютерные сети» (Computer network). – С-П:
Питер,
2003.
2. Таненбаум Э. «Компьютерные сети» (Computer network). – С-П: Питер, 2001.
Supplementary:
3. С. Золотов. Протоколы INTERNET (INTERNET Protocols). – С-П: BHV, 1998.
4. Л. Чепел, А. Чепел. TСР/ІР. – С-П: BHV, 2003.
DISCIPLINE ANNOTATION
Computer Basics
Lecturer: S. V. Dobrynin, Full Professor, PhD (Engineering).
Aim: to ensure students` acquisition of the theoretic basis of computer equipment structure and
develop practical habits of synthesis of simple digital schemes and automats.
Task:
 Studying main methods of presenting and transformation of numbers which can be used in
the main computing systems;
 Knowledge of the basis of presenting information of various derivation and nature in
computer systems;
 Knowledge of the peculiarities of presenting information in the most convenient and
acceptable for processing in computer systems;
 Reviewing the main logical operations and elements used in creation computer schemes;
 Giving methodic of minimization both completely and not completely fixed logical
functions;
 Acquisition of the main notions and definitions relating to the theory of digital automats and
methodic of their synthesis;
 Reviewing of the principles of structural synthesis of such functional combinatory nodes as
various summers, cryptographs, decoders, multiplexers, demultiplexers, comparators, code
converters;
 Reviewing principles of structural synthesis of such functional successive nods as triggers,
registers, counters.
Following the completion of the course a student must:
Know:
 Historical, scientific and technical premises of creating computing technology and
development of computer sciences;
 Main systems of computation, choosing the computing system for presenting in computer
devices and systems;
 Methods of numerals and fractions converting from one positional computing system into
other;
 Algorithms of the main arithmetic operations in the main positional computing systems:
binary, octonary, hexdecimal;
 Essence and peculiarities of informational coding in the computing technology and main
kinds of coding;
 Forms of presenting numerals with fixed and movable coma;
 Algorithms of arithmetic operations in the direct, inverted and additional codes;
 Basis of algebra – logics used in analyzing and synthesis of digital schemes;
 Main methods and algorithms used in simplification of logical functions in the process of
synthesizing digital schemes;
 Technique of structural synthesizing combinatory digital nods;
 Methodic of structural synthesizing of successive digital nods;
 Main principles of structure of the most widespread nods of computing technology as
combinatory and successive.
Be able to:
 Solve problems of numerals and fractions converting from one computing system into
other;
 Perform main arithmetic operations using direct, inverted and additional codes of binary
numbers;
 To convert Boolean functions using different elemental basis;
 Perform minimizing of Boolean functions using analytic methods and Karnaugh maps
(Veich diagram);
 Perform synthesis of digital logical combinatory schemes with set analytic description;

Solve the problems of digital automats on the stages of designing structural tables and
coding their internal status;
 Use program applicable toolkits of modeling digital electronic schemes for analysis and
synthesis of digital devices;
Course description: subject and tasks of the course. Origin and development of the computing
techniques and its peculiarities. Presenting numbers in the computing systems and practice over
them. Information coding and main forms of presenting numerals in the computing systems.
Numeral coding in the computing systems. Logical operations and elements used in creation
computer schemes. Logical functions and their analytical description. General characteristic of
combinatory schemes. Structural synthesis of typical combinatory nods. General characteristic of
successive schemes. Structural synthesis of typical successive nods.
Assessment Forms: the control of the course acquisition is done through:
 Current control during workshops;
 Reception and evaluation of reports or laboratory works;
 Test on the results of the working of the main statements of the course;
 Final test.
Teaching aids and materials:
1. Добринін С. В. Комп'ютерні основи: Навчальний посібник (Computer Bases). – Х.: “ХНУ",
2008. – 235 с.
2. Добринін С. В. Аналіз можливостей пакету моделювання електронних схем Electronics
Workbench: Методичні рекомендації та завдання до лабораторних робіт (Ability Analysis of
the Package of Modeling Electronic Schemes `Electronics Workbench`: Methodical
recommendations and tasks to the laboratory experiments) . – Х.: "ХНУ", 2008. – 32 с.
3. Добринін С. В. Аналіз цифрових логічних елементів: Методичні рекомендації та завдання
до лабораторних робіт (Analysis of the Digital Logical Elements: Methodical recommendations
and tasks to the laboratory experiments). – Х.: "ХНУ", 2008. – 20 с.
4. Добринін С. В. Структурний синтез і аналіз цифрових логічних схем комбінаційного типу:
Методичні рекомендації та завдання до лабораторних робіт (Structural Synthesis and Analysis
of the Digital Logical Combinatory Schemes: Methodical recommendations and tasks to the
laboratory experiments). – Х.: "ХНУ", 2008. – 16 с.
5. Добринін С. В. Структурний синтез і аналіз цифрових логічних схем послідовнісного типу:
Методичні рекомендації та завдання до лабораторних робіт (Structural Synthesis and Analysis
of the Digital Logical Successive Schemes: Methodical recommendations and tasks to the
laboratory experiments). – Х.: "ХНУ", 2008. – 16 с.
Recommended literature:
Basic:
1. Добринін С. В. Комп'ютерні основи: Навчальний посібник (Computer Bases: Educational
manual). – Х.: “ХНУ", 2008. – 235 с.
2. Кравчук С. О., Шонін В. О. Основи комп’ютерної техніки (Bases of Computer Technology).- К.:
"Політехніка", 2005. – 344 с.
3. Бабич М. П., Жуков І. А. Комп’ютерна схемотехніка: Навчальний посібник (Computer Circuit
Technology: Educational manual). – К.: "МК-Прес", 2004. – 412 с.
4. Бойко В. И. и др. Схемотехника электронных систем. Цифровые устройства (Circuit Technology
of Electronic Systems. Digital Appliances). – СПб.: "БХВ-Петербург", 2004. – 512 с.
5. Самофалов Г. К. и др. Прикладная теория цифровых автоматов: Учебник (Applied Theory of
Digital Automats: Textbook). – К.: "Вища школа", 1987. – 375 с.
Supplementary:
1. Жмакин А. П. Архитектура ЭВМ (Architecture of the Data Processing Machine). – СПб.:
"БХВ-Петербург", 2006. – 320 с.
2. Леонтьев В. П. Новейшая энциклопедия персонального компьютера (New Encyclopedia of
the Personal Computer). – М.: "ОЛМА-ПРЕСС", 2004. – 734 с.
3. Брукшир Дж. Гленн. Введение в компьютерные науки. Общий обзор, 6-е издание: Пер. с
англ. (Introduction to the Computer Sciences) – М.: Издательский дом "Вильямс", 2001. –
688 с.
4. Малиновский Б. Н. История вычислительной техники в лицах (History of the Computing
Technology in Persons). – К.: "КИТ", 1995. – 384 с.
5. Самофалов Г.К. и др. Цифровые ЭВМ: Теория и проектирование (Digital Data Processing
Machines.Theory and Designing).– К.: "Вища школа", 1989. – 424 с.
6. Савельев А.Я. Прикладная теория цифровых автоматов: Учебник (Applied Theory of Digital
Automats: Textbook). – М.: "Высшая школа", 1987. – 272 с.
DISCIPLINE ANNOTATION
Graphic and Text Job Processing
Lecturer: S. V. Dobrynin, Full Professor, PhD (Engineering).
Aim: to teach students to use and stick to the requirements of the effective state standards while
performing typical text and graphic documents, to use wide variety of possibilities of text and
table processors of preparing and presenting information, to develop knowledge and practical
skills of pre-printing edition preparing.
Tasks:
 Introducing to the main program means of text and graphic job processing;
 Forming systematic idea of the process of preparing text and graphic documents to printing;
 Getting practical skills of creating text and graphic documents using software package
Microsoft Office;
 Developing skills of sticking to the state requirements while performing text and graphic
documents.
Following the completion of the course a student must
Know:
 Peculiarities of text and graphic job processing;
 Main requirements of state standards which determine the process of text and graphic job
processing;
 Kinds and peculiarities of text editors and processors;
 Kinds and peculiarities of the table processors;
 Kinds of computer graphics;
 Main formats of text and graphic files;
 Main colors used in processing graphic images;
 Essence of pre-printing preparing of texts and graphic images;
 Contents and peculiarities of using programs for text and graphic job processing from the
office software package Microsoft Office;
 Main types of graphic editors for processing raster, direct-beam and fractal images.
Be able to:
 Use main Microsoft Office programs;
 Create, edit and format text, table and graphic documents using text processor Microsoft
Word, use the means of writing formulae, macros and display of the organizational and
schematic diagrams;
 Create, edit and format text, table and graphic documents using table processor Microsoft
Excel, perform mathematic and statistic calculations in Excel;
 Create scientific and technical presentations using presentation builder Microsoft Power
Point;
 Design typical scientific and technical documents in accordance with the requirements of
the state standards of Ukraine.
Course description. Subject, tasks and structure of the course “Graphic and Text Job
Processing”. Rules of performance and design text documents. Computer graphic job
processing. Peculiarities of the pre-printing prepare of the graphic information. Creating
documents using text processor Microsoft Word. Insertion of diagrams, graphic objects and
processing table data using Microsoft Word. Creating scientific and technical presentations
using Microsoft Power Point. Basis of work with the processor of electronic worksheets
Microsoft Excel. Insertion diagrams and plots into Microsoft Excel documents. Statistic
processing of data using Microsoft Excel.
Assessment Forms: the evaluation of the material acquisition is done through:
 Current control during lectures;
 Reception and evaluation of reports of laboratory works;
 Final test.
Supportive materials:
1 Добринін С. В. Обробка графічної та текстової інформації: Навчально-методичний посібник
(Graphic and Text Job Processing: Methodical and educational accessory). – Х.: “ХНУ", 2009.– с.
2 Добринін С.В. Завдання та методичні вказівки до самостійної роботи студентів денної
форми навчання з навчальної дисципліни «Обробка графічної та текстової інформації»
(Tasks and methodical instructions to the individual work for full-time education students of the
course ` Graphic and Text Job Processing). – Х.: “ХНУ", 2009. – 16 с. Електронний варіант.
3 Добринін С. В. Створення документів за допомогою текстового процесора Мicrosoft Word:
Методичні рекомендації та завдання до лабораторних робіт (Creating documents using text
processor Microsoft Word: Methodical recommendations and tasks to the laboratory experiments).
– Х.: "ХНУ", 2008. – 24 с. Електронний варіант.
4 Добринін С. В. Вставка діаграм, графічних об'єктів та обробка табличних даних засобами
Мicrosoft Word: Методичні рекомендації та завдання до лабораторних робіт (Insertion
Diagrams, Graphic Objects and Processing Tabular Data Using Мicrosoft Word: Methodical
recommendations and tasks to the laboratory experiments). – Х.: "ХНУ", 2008. – 32 с.
Електронний варіант.
5 Добринін С. В. Створення науково-технічних презентацій засобами Мicrosoft РоwerРоіnt:
Методичні рекомендації та завдання до лабораторних робіт (Creating Scientific and Technical
Presentations Using Мicrosoft РоwerРоіnt: Methodical recommendations and tasks to the
laboratory experiments) . – Х.: "ХНУ", 2008. – 12 с. Електронний варіант.
6 Добринін С. В. Основи роботи з процесором електронних таблиць Мicrosoft Excel:
Методичні рекомендації та завдання до лабораторних робіт (Bases of Work with the Table
Processor Мicrosoft Excel: Methodical recommendations and tasks to the laboratory experiments) .
– Х.: "ХНУ", 2008. – 32 с. Електронний варіант.
7 Добринін С. В. Вставка діаграм і графіків в документи Мicrosoft Еxcel: Методичні
рекомендації та завдання до лабораторних робіт (Insertion Diagrams and Plots into the
Documents Мicrosoft Еxcel: Methodical recommendations and tasks to the laboratory experiments)
. – Х.: "ХНУ", 2008. – 16 с. Електронний варіант.
8 Добринін С. В. Проведення статистичної обробки даних засобами Мicrosoft Еxcel:
Методичні рекомендації та завдання до лабораторних робіт (Statistic Data Processing Using
Мicrosoft Еxcel: Methodical recommendations and tasks to the laboratory experiments). – Х.:
"ХНУ", 2008. – 28 с. Електронний варіант.
Recommended literature:
Basic:
1 Добринін С. В. Обробка графічної та текстової інформації: Навчально-методичний посібник
(Graphic and Text Job Processing: Methodical and educational manual). – Х.: “ХНУ", 2009. – с.
2 Бибик С.П., Сюта Г.М. Ділові документи та правові папери (Business and Law Documents). – Х.:
Вид. «Фоліо», 2006.
3 Глушков С.В., Сурядный А.С. ПК для студента (PC for Students). – Х.: Изд. «Фолио», 2007.
4 Дорош А.К., Ткаченко В.П., Челомбітько В.Ф. Обробка текстової інформації у видавничих
системах. Частина 1. Теоретичні основи обробки текстової інформації: Навчальний посібник (Text
Job Processing in Editorial Systems. Part 1. Theoretical Bases of Text Job Processing: Educational
Manual). – Х.: Компанія СМІТ, 2007.
5 Глушков С.В. и др. Компьютерная графика (Computer Graphics). – Х.: Изд. «Фолио», 2006.
6 Волкотруб Г.Й. Стилістика ділової мови: Навчальний посібник (Stylistic of Business Language:
Educational Manual). – К.: МАУП, 2002.
7 Сагман С. Microsoft Office для Windows (Microsoft Office for Windows) / Пер. с англ. - М.: Изд.
«ДМК Пресс», 2004.
8 ДСТУ 3008-95. Документація. Звіти у сфері науки і техніки (Documentation. Reports in the Field of
Science and Technology). – К.: Держстандарт України, 1995.
9 ГОСТ 2.105-95. Общие требования к текстовым документам. Межгосударственный стандарт
(General Requirements to the Text Documents. Intergovernmental Standard). – К.: Госстандарт
Украины, 1996.
Supplementary:
1 Петров М.Н., Молочков В.П. Компьютерная графика (Computer Graphics). Изд. «Питер»,
2003.
2 Лядецький М.М., Хавронюк М.І. Типові договори, контракти, статути (Typical
Agreements, Contracts, Statutes). – К.: Атіка, 2003.
3 Microsoft Word 2003. Русская версия. Практическое пособие. Серия «Шаг за шагом» / Пер.
с англ. (Microsoft Word 2003. Russian version. Practical manual. ` Step by Step` series) - М.: Изд.
«СП ЭКОМ», 2005.
4 Microsoft Excel 2003. Русская версия. Практическое пособие. Серия «Шаг за шагом» / Пер.
с англ. (Microsoft Word 2003. Russian version. Practical manual. ` Step by Step` series). - М.: Изд.
«СП ЭКОМ», 2006.
5 Microsoft Power Point 2003. Русская версия. Практическое пособие. Серия «Шаг за шагом»
/ Пер. с англ. (Microsoft Power Point 2003. Russian version. Practical manual. ` Step by Step`
series) - М.: Изд. «СП ЭКОМ», 2006.
6 ДСТУ ГОСТ 7.22:2004. Стандарты в сфере информации, библиотечного и издательского
дела (Standards in the Field of Information, Library Science and Publishing). – К.: Госстандарт
Украины, 2004.
7 ДСТУ 4163-2003.Уніфікована система організаційно-розпорядчої документації (Unified
System of Organizing and Order Documentation). – К.: Держстандарт України, 2003.
DISCIPLINE ANNOTATION
Object Oriented Programming
Lecturer: Olena Hennadiivna Tolstoluz’ka, PhD in Engineering, Senior Research Fellow,
Associate Professor at the Department of Theoretic and Applied Systems Engineering.
Course Aim: To acquire theoretical foundations in the field of object oriented programming
and to gain practical efficiency by means of the C++ language.
Discipline Objectives:
- shaping systematized conceptualization of the approaches, models and principles of
organization that lie in the basis of object oriented programming;
- receiving practical skills in choosing and application of software technology in order to
perform data processing and management;
- reviewing the present state and prospective trends in the development of the above
mentioned software technology.
Following the completion of the course a student must:
know:
- areas where the object oriented programming is applied;
- basic notions and definitions used in the object oriented programming;
- OOP (the object oriented programming) implementation features used in the C++
language;
- modern software design tools.
be able to:
- prove the necessity of using the object oriented programming for solving a specified
problem;
- use basic C++ syntactic phrases;
- use STL for solving applied problems;
- use OOP software design tools.
Discipline Description: Object oriented programming principles. Encapsulation.
Constructors and destructors. Static class members. Constant objects and constant class memberfunctions. Class control arrays. Friend functions and class friends. Inheritance. Function
overloading. Operator overloading. Virtual function. Polymorphism. Pure virtual functions and
abstract classes. Exception handling. Stream input/output. Templates. Template functions. STL
Standard Template Library. Containers, iterators, algorithms. NET concept. NET programming.
Name space. Data types. Arrays and collections. Class library. NET Framework. Windows
Application Architecture. Data collection. Data collection structure. Cross-language support.
Adding resources to the collection.
Recommended Literature
Basic
5.
Б.Страуструп. Язык программирования C++ (The C++ Programming Language),
3-е изд./Пер. с англ. – СПб.; М.: «Невский диалект» – «Издательство БИНОМ», 1999 г. – 991
с., ил.
6.
А. Пол. Объектно-ориентированное программирование на C++ (Object Oriented
Programming in C++), 2-е изд./Пер. с англ. – СПб.; М.: «Невский диалект» – «Издательство
БИНОМ», 1999 г. – 462 с., ил.
7.
Элджер Дж. C++: библиотека программиста (C++: A Programmer’s Library) –
СПб: ЗАО «Издательство «Питер», 1999. – 320 с.: ил.
Supplementary
8.
Г. Буч. Объектно-ориентированный анализ и проектирование с примерами
приложений на C++ (Object Oriented Analysis and Engineering with C++ Application Examples),
2-е изд./Пер. с англ. – М.: «Издательство «Бином», СПб: «Невский диалект», 1998 г. – 560 с.,
ил.
9.
Гамма Э., Хелм Р., Джонсон Р., Влиссидес Дж. Приемы объектноориентированного проектирования. Паттерны проектирования. (Object Oriented Programming
Techniques. Engineering Patterns.) – СПб: Питер, 2001. – 368 с.: ил. (Серия «Библиотека
программиста»).
10.
Керниган Б., Ритчи Д. Язык программирования Си (The C Programming
Language) : Пер. с англ. / Под ред. и с предисл. Вс.С.Штаркмана. – 2-е изд., перераб. и доп. –
М.: Финансы и статистика, 1992. – 272 с.: ил.
DISCIPLINE ANNOTATION
Operating Systems and System Programming
Lecturer: Ievhen Volodymyrovych Duravkin, PhD in Engineering, Associate Professor at
the Department of Theoretic and Applied Systems Engineering.
Aim: To teach students to master computer oriented languages and their programming. To
teach students to design multiprocessing, system-adaptive programs. To evoke students’ creativity,
want for self-education, to teach students to design software using all the possible potential of
modern operating systems.
Objectives:
- mastering the Assembler language for Intelx86 processors;
- software design optimization and computer language program debugging;
- mastering interaction methods in multithreaded and multiprocessor software systems;
- systematized conceptualization on the approaches, models and principles of organization
that lie in the basis of modern operating systems.
Following the completion of the course a student must:
know:
1. System software components.
2. Program structures, Assembler and Win API commands for separate problems
programming.
3. Compile phases, program optimization stages.
4. Assembler macro facilities and their high-level programming languages.
5. Operating system development principles and methods.
6. Operating system development tools (interrupt processing, drivers, physical input/output).
7. Methods for peripheral device control (timers, dynamic speaker, keyboard etc.)
8. Operating system and software improvement techniques.
be able to:
1. Develop Windows system applications.
2. Write programs in the Assembler and C++ languages.
3. Develop Assembler and C++ compilers.
4. Employ algorithms for lexical, syntactic, semantic analysis.
5. Design a macro processor.
6. Apply interruption processing programs.
7. Develop drivers.
8. Handle a disk at a physical level.
9. Manage memory allocation, files, processes and data flows.
10. Protect data from unauthorized access.
Discipline Description: Basis for operating system development. Operating system (OS)
classification. OS evolution. OS types. OS development features. Processes. Process model. Process
creation and completion. Process hierarchy. Process implementation. Process implementation in
modern OSs. Data flows. Data flow model. Data flow usage. Ways of implementation. Data flow
implementation in modern OSs. Interprocess communication. Competition state. Mutex with busy
waiting. Interprocess communication primitives. Planning. Introduction to planning. Batch
planning. Interactive planning. Real-time planning. Deadlock process. Resource concept. Deadlock
terms. Deadlock research. Deadlock identification and elimination. Memory organization and
management. Memory guard. Memory allocation in modern OSs. Primary memory management.
Virtual memory. Page replacement algorithm. External resource access control. Input/output control
system. Basic notions and organizational concepts in OS input/output. Input/output software
principles. Input/output control modes. File systems. Files (file name, structure, types, access,
operations, implementation). Directories (one- and two-level hierarchical file systems; operations,
implementation). File system samples. System software development features. Application
programming interfaces (APIs). API design concepts. API concept. Platform-independent interface
POSIX. WinAPI. Multiprocessor systems. Multiprocessors. Multicomputer systems. Security.
Security concept. Inner attacks. Types of software viruses. Types of software antiviruses. System
software design concepts. Compiler concept. Translator concept. Input/output result dissimilarities.
Assembler data structures. Their design concepts. Loaders (concept, tasks). Absolute loader
characteristics and specifications. Linking loader design options. Executable file download into
memory. Macro processor. Basic concepts, methods of contact with Assembler. Macro language
facilities (title, soft stop, variables, branches). Macro processor running characteristics. Terminateand-stay-resident program concept and structure. Terminate-and-stay-resident program download
into memory. Driver design concepts. Driver concept, its role in software, adding drivers into
software. DOS driver format. NT 5 platform API characteristics. Windows NT 5 driver
classification.
Assessment Forms: laboratory works, module tasks, final paper, examination.
Recommended Literature:
Basic
1. Современные операционные системы (Modern Operating Systems). 2-е изд./ Э.
Таненбаум – СПб. Питер. 2004. –1040 с.: ил.
2. Гордеев Молчанов Системное программное обеспечение (System Software).
3. Столингс В. Операционные системы (Operating Systems). – М.: «Вильямс», 2002.
Supplementary
1 Сетевые операционные системы (Network Operating Systems) /Олифер В.Г., Олифер
Н.А. – Спб.: Питер, 2002. – 544 с.
Information Resources
1.
www.intuit.ru
DISCIPLINE ANNOTATION
The Theory of Communication. Outlines.
Lecturer: Iuriy Ivanovych Losev, Full Professor, D.Sc. in Engineering.
Discipline Aims: To acquaint students with the basic principles and modern methods of
Error Control Technology of Network Communication Electronic Equipment, with mathematical
formulations on messages, signals and cross-talk, with signal formation and transformation methods
in data channels, with their data analysis, Error Control Coding and optimal message reception.
Discipline Objectives:
know:
Basic principles and modern methods of block coded modulation (BCM) while data transfer
via communication channels, various mathematical formulations on messages, signals and crosstalk, linear and nonlinear signal transformation methods in communication channels, error-free
reception and Enter Control Coding, error-free message reception methods and algorithms.
be able to:
Calculate electrical, statistic and probabilistic characteristics of signals and communication
systems to optimize them by various criteria;
By means of hardware and software study code and modem specifications and determine
whether they conform with the set standards and innovations;
Study the world trends in telecommunication technologies and the extent to which the main
achievements in the theory of communication are implemented;
Estimate the error-rate performance while transferring signals by various modulation types
at different signal-to-noise ratios (SNRs) and processing algorithms;
Give scientific credence to optimal and rational signal data, their processing methods,
transfer and reception algorithms at designing or analyzing the telecommunication systems or their
fragments quality.
Discipline Description: Introduction to data communication systems. Symbolic models of
deterministic analog signals. Symbolic models of analog random signals. Symbolic models of
deterministic digital signals. Modulation methods. Symbolic models of random-signal flows.
Communication error-control techniques. Error Control Coding (ECC). Bit and frame
synchronization in data transmission systems.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of test papers. The final assessment is held by means of examination.
Supportive Materials
1. «Основи теорії передачі інформації» (The Theory of Communication. Outlines.) study
guide, electronic version.
2. Multimedia equipment and an electronic version of visual-aids.
3. Laboratory operations manual.
Recommended Literature
Basic
7.
Ю. И. Лосев, А. Г. Бердников «Основы теории передачи данных» (An
Introduction to the Theory of Communication). – ВИРТА, 1992.
8.
Э. Ш. Гойхман, Ю.И. Лосев «Передача информации в АСУ» (Data
Communication in Automatic Control Systems (ACS)). – «Связь», 1978.
Supplementary
И.А. Мизин, В.А. Богатырев. «Сети коммутации пакетов». – «Радио и связь» (Packet
Switching Networks. – Radio and Communication.), 1986.
DISCIPLINE ANNOTATION
Parallel Systems and Computing
Lecturer: Olena Hennadiivna Tolstoluz’ka, PhD in Engineering, Senior Research Fellow,
Associate Professor at the Department of Theoretic and Applied Systems Engineering.
Aims: To acquaint students with the basic parallel processing techniques and their effect on
parallel systems engineering performance; with the basic development and operation principles of
modern parallel computing mono- and multi-systems; with numeric specification hallmarks and
parallel time series model visualization; modern programming technologies.
Discipline Objectives:
Following the completion of the course a student must:
know:
Parallel processing techniques, parallel algorithms, parallel processes, parallel
implementation criteria of algorithms and programs, development and architecture principles of
modern parallel computing mono- and multi-systems.
be able to:
Course acquisition enables students become acquainted with computer-aided software
engineering (CASE) of parallel computing systems. It is also essential in the context of parallel
numeric specification synthesis, performance criteria evaluation and visualization of parallel static
and dynamic objects.
Discipline Description:
Introduction. Outlines of parallel computing processes and
systems. Parallel static and time series algorithms and processes. Parallel time series algorithms.
Parallel implementation criteria of algorithms and their correlation with the practice requirements.
Technique for independent operations concurrency. Technique for formal synthesis of parallel time
series models of an algorithm. HiRel parallel software design for managing ultimate technologies
and objects. Parallel programs classification. Parallel computing specifications. How to solve the
parallel programming crisis. Introduction to parallel programming by means of MPI (Message
Passing Interface). Data interchange in MPI. Cooperative data interchange in MPI. Introduction to
parallel programming by means of PVM (Parallel Virtual Machine). Programming by means of
PVM. Parallel processors classification. Superscalar processor architecture and operation. Parallel
architectures. Classification of parallel systems by Flynn. Architecture and operation of parallel
processors with Very Large Instruction Word (VLIW). Architecture and operation of parallel
processors with dataflow management. Multiprocessor computers with shared memory (SM).
Multicomputer systems.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of test papers. The final assessment is held by means of an examination.
Supportive Materials
1. Multimedia equipment and an electronic version of visual-aids.
2. Laboratory operations manual.
Recommended Literature
Basic
13.
Воеводин В.В., Воеводин Вл. В. Параллельные вычисления (Parallel
Computing). – СПб.: БХВ-Петербург, 2002. – 608 с.
14.
Немнюгин С.А., Стесик О.Л. Параллельное программирование для
многопроцессорных вычислительных систем (Parallel Programming for Multiprocessors). –
СПб.: БХВ-Петербург, 2002. – 400 с.
15.
Корнеев В.В. Архитектура вычислительных систем с программируемой
структурой (Computing Systems Architecture with Soft Structure). – Новосибирск: Наука, 1985.
– 168 с.
Supplementary
16.
Транспьютеры. Архитектура и программное обеспечение: (Transputers.
Architecture and Software): Пер.с англ./Под ред. Г.Харпа. – М.: Радио и связь, 1993. – 304 с.
17.
Корнеев В.В, Киселев А.В. Современные микропроцессоры (Modern
Microprocessors). – М.: НОЛИДЖ, 2000. – 326 с.
18.
14.
Поляков Г.А. Проблемы создания систем совместного автоматического
проектирования аппаратно-программных средств для мультипараллельной цифровой
обработки данных (Challenges of Joint Automatic Firmware Design for Multi Parallel Digital
Data Processing)// Сб. науч. тр. / 1-й Международный радиоэлектронный Форум «Прикладная
радиоэлектроника. Состояние и перспективы развития» МРФ-2002. – Х.: АНПРЭ, ХНУРЭ,
Ч.2, 2002. – С.241-244
DISCIPLINE ANNOTATION
Systems Analysis
Lecturer: Kyrylo Markovych Rukkas, PhD in Engineering, Associate Professor.
Course Aim: To master the methodology of the systematic approach to the complex
computer systems research (analysis, simulation and performance evaluation).
Task: To acquire control systems theory fundamentals and implement them in computer
engineering.
Discipline Objectives:
- by means of structural analysis, study simulation techniques and be able to evaluate
complex computer systems performance, methods of discrete- and continuous-time Markov chains
(DTMCs/CTMCs) and queueing systems;
- examine the decision-making techniques on scoping out the best variant for system
realization of a given set of alternatives on the basis of formal, formalized and informal methods.
Following the completion of the course a student must:
know:
- the fundamental concepts of the control systems theory on computer engineering
objectives, basic models and complex systems specifications;
- the research methods of complex systems based upon the theory of Markov processes, of
queueing systems;
- the formal and informal decision-making techniques while developing and maintaining
complex systems.
be able to:
- conduct analysis and performance evaluation of typical computer systems structures and
their components by means of mathematical tools technique systems based upon the theory of
Markov processes, queueing systems;
- form solutions while developing and maintaining complex systems using mathematical
programming techniques and informal methods.
Discipline Description:
The fundamentals of the systems theory and systems analysis.
System simulation techniques. Decision-making techniques.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of test papers. The final assessment is held by means of examination
papers.
Supportive Materials
1. Multimedia equipment and an electronic version of visual-aids.
2. Laboratory operations manual.
Recommended Literature
Basic
1. Денисов А.А., Колесников Д.Н. Теория больших систем управления (Large Systems
Control Theory): Уч. пос. для ВУЗов. – Л.: Энергоиздат, 1982. – 288с.
2. Системный анализ в экономике и организации производства (Systems Analysis in
Economics and Industrial Engineering)/ Под общ. ред. Валуева С.А., Волковой В.Н. – Л.:
Политехника, 1991. – 398с.
3. Половинкин А.И. Основы инженерного творчества. (An Introduction to Engineering
Creativity)–М.:Машиностроение, 1988. – 368с.
4. Вентцель Е.С. Исследование операций (Operations Performance Analysis). – М.:
Радио и связь, 1972.
5. Крайников А.В. и др. Вероятностные методы в вычислительной технике
(Probabilistic Methods in Computer Engineering). – М.: Высшая школа, 1986. – 312с.
6. Надёжность и эффективность в технике. Справочник в 10 томах, т.3.
Эффективность в технике (Reliability and Efficiency in Engineering. 10-volume directory, Vol.3.
Efficiency in Engineering)/ Под ред. В.Ф. Уткина, Ю.В. Крючкова .– М.: Машиностроение,
1988. – 328с.
7. Советов Б.Я., Яковлев С.А. Моделирование систем (Systems Simulation): Учебник
для вузов. – М.: Высшая школа, 1985. – 271с.
Supplementary Literature
8. Харченко В.С., Лысенко И.В. Теория систем и системный анализ. Конспект
лекций. Часть 1. (The Systems Theory and Systems Analysis. Lecture notes. Part 1.)- Харьков:
НАУ «ХАИ», 2002. – 75c.
9. Харченко В.С., Лысенко И.В. Теория систем и системный анализ. Конспект
лекций. Часть 2. (The Systems Theory and Systems Analysis. Lecture notes. Part 2.)- - Харьков:
НАУ «ХАИ», 2002. – 76c.
10. Харченко В.С., Лысенко И.В. Теория систем и системный анализ. Учебнометодическое пособие (The Systems Theory and Systems Analysis. Study guide).- Харьков:
НАУ «ХАИ», 2002. – 82с.
DISCIPLINE ANNOTATION
Specialized Programming Languages
Lecturer : Kyrylo Markovych Rukkas, PhD in Engineering, Associate Professor.
Course Aim: To master skills of writing programs in specialized programming languages.
Objective: To acquire the fundamentals of programming in specialized programming
languages.
Following the completion of the course a student must:
know:
 Development principles of distributed client-server applications.
 Socket performance principles. Socket types and parameters. Network programs design using
sockets.
 Principles of parallel and serial servers design.
 Basic concepts of the .Net platform.
 Basic data types and constructs of the C # programming language.
 Main Java libraries. Application principles.
 Main Java libraries for network programs design.
 Servlets development principles.
be able to:
 Develop network programs with the use of socket apparatus.
 Develop application programs in the C # programming language.
 Develop network programs in the C # programming language.
 Develop application programs in the Java programming language.
 Develop network programs in the Java programming language.
Discipline Description: WINSOCK application programming interface. The C # programming
language. The Java programming language.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of test papers. The final assessment is held by means of examination
papers.
Supportive Materials
1. «Комп’ютерні мережі» (Computer Networks) study guide, electronic version.
2. Multimedia equipment and an electronic version of visual-aids.
3. Laboratory operations manual.
Recommended Literature
Basic
1. Таненбаум Э. Компьютерные сети (Computer Networks). – С-П.: Питер , 2001.
2.
Й. Снейдер. Эффективное программирование TCP/IP. (Efficient TCP/IP
Programming). С-П.: Питер, 2002.
3.
Л. Чепел, Э. Титтел. TCP/IP Учебный курс (TCP/IP. Training Course).//С-П:
BHV, 2003
4. Стивенс Р. Протоколы TCP/IP. Практическое руководство (TCP/IP Protocols.
Practical Guidance). С-П.: БХВ-Петербург, 2001.
5. Джонс Э., Оланд Дж. Программирование в сетях Windows (Programming in Windows
Networks).-Спб.: Питер; М.: Издательско-торговый «Русская редакция», 2002.-608 с.
6. Павловская Т.А. C#. Программирование на языке высокого уровня (C#. High-level
Language Programming). Питер, 2009. – 432 с.
7. Герберт Шилдт C# .Учебный курс (C#. Training Course). Питер, 2003.- 512 с
8. Ноутон П., Шилдт Г. Java 2. С-П.: БХВ-Петербург, 2001.- 895 с.
Supplementary
1. Лосев Ю.И., Бердников А.Г. Основы теории передачи информации (An Introduction
to the Theory of Communication). – Х.: ХВУ. 1993.
2. Будилов В. Интернет-программирование на Java (Internet-Programming in Java). СП.: БХВ-Петербург, 2002.
3. Хабибуллин И. Разработка Web-служб средствами Java (Web-services Development
by Means of Java). С-П.: БХВ-Петербург, 2003.
DISCIPLINE ANNOTATION
The Decision-Making Theory at Complex Computer Systems Management
Lecturer: Iuriy Ivanovych Losev, Full Professor, D.Sc. in Engineering.
Discipline Aims: To give the students the basic knowledge on decision-making methods
while managing complex computer systems, methods for quality evaluation of the decisions made
and development forecasting. Teach the basic decision-making techniques under uncertainty, choice
of optimal alternatives in a fuzzy environment.
Discipline Objective:
Following the completion of the course a student must:
know:
Characteristics of the computer management system. Network performance criteria and the
impact of the network management system on them. Methodological basis of the decision-making
process in network management. Characteristics of the preparation and decision-making processes.
The conceptual model of decision-making in network management. The decision-making methods
in network management. The situation assessment method. Situation planning and management.
Merits and consequences evaluation techniques of the decision-making process in network
management. Quality evaluation of the decisions made. Decision-making under uncertainty. Choice
of optimal alternatives in a fuzzy environment. The basic functional connections in the theory of
utility. Using artificial intelligence in network management. Simulation techniques for the
preparation and decision-making processes in network management.
be able to:
Evaluate network performance and management system. Specify such network features as
efficiency, capability and optimality. Consider the criterion for randomness, ambiguity of
information at the decision-making process. Define the conceptual model of decision-making and
its separate stages. Identify network elements connectivity at the decision-making process on
network management, evaluate the merits of decision-making process and the decisionimplementation consequences. Develop a frame-based knowledge model for an expert system used
in network management.
Discipline Description: Computer-aided systems management analysis. Methodological
basis of the decision-making theory. The decision-making methods in network management.
Decision-making under uncertainty. Network management using artificial intelligence.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of shotgun quizzes. The final assessment is held by means of the course
project and examination papers.
Supportive Materials
1. Multimedia equipment.
3. Slides. Presentation of “The Decision-Making Theory at Complex Computer Systems
Management” discipline.
Recommended Literature
15.
Я.С. Дымарский, Н.Д. Крутикова. Управление сетями связи: принципы,
протоколы, прикладные задачи (Communication Networks Management: Principles, Protocols,
Applied Tasks). – «Связь и бизнес», 2003 г. – 384 с.
16.
А.Н. Борисов, А.В. Алексеев. Обработка нечеткой информации в системах
принятия решения (Fuzzy Information Engineering in Decision-Making Systems). – «Радио и
связь», 1986 г.
17.
С.А.Орлрвский. Проблемы принятия решений при нечеткой исходной
информации (Problem Solving and Decision-Making Dealing with Blurry Background
Information). – «Наука», 1983 г.
18.
Э.В.Попов. Искусственный интеллект (Artificial Intelligence). – Справочник.
«Радио и связь», 1990 г.
19.
П.К.Фимберн. Теория полезности для принятия решений (The Theory of Utility
for the Decision-Making Process). – «Наука», 1978 г.
DISCIPLINE ANNOTATION
Database and Knowledge Base Organization
1. Lecturers: Valentyna Mykhailivna Lazuryk (Databases), Senior Lecturer at the Department
of Artificial Intelligence and Software;
Volodymyr Mykhailovych Kuklin (Knowledge Bases), Full Professor, Head of the Department of
Artificial Intelligence and Software.
2. Course, Semester: 3rd year, 5th and 6th semesters.
3. Amount of Hours: 8 credits, 4 modules, 218 academic hours: lectures – 50 hours, laboratory
works – 50 hours, independent work – 118 hours in total.
Assessment Form – handing in laboratory works, computer testing, writing course projects and their
defense, exam.
4. Prior Requirements: it is desirable that students should have basic knowledge in Maths and
Programming within a two-year university course of learning “Discrete Mathematics”,
“Programming and Algorithmic Languages”, “Object Oriented Programming”.
5. Discipline Description (Contents, Aims, Structure): The modern definition of the relational
data model represented by relational algebra and calculus is given. The classical approach to
database design based on normalization principle is discussed. Basic features of approaches to
semantic database simulation, planning, development, implementation and database maintenance
issues are regarded. Explicit introduction to the Structured Query Language (SQL) on the basis of
the SQL: 1999 standard is considered. Data types used in SQL, techniques for database objects
identification, data manipulation and selection are under discussion. Database and applications
development features in Access 2003 Integrated Development Environment are considered.
Database development features for MySQL server 5.1 are under study. Client development for
MySQL databases both for the local network using the ADO technology, the Delphi7 Integrated
Developer’s Environment (IDE) and for the global network using the PHP5 server scripting
language. Dynamic Web pages design for the global network by means of the ASP .NET
technology is at issue. Expert systems and neural networks performance principles, knowledge base
creation principles are regarded.
6. Objective: to provide up-to-date students’ knowledge both in theoretical database and
knowledge base simulation and in practical knowledge and skills on database development and use
of the Structured Query Language (SQL). The course also aims at gaining knowledge and practical
skills on database applications development both for local and global networks. The discipline
program contains 4 modules covering 16 topics and the references.
7. Forms of Teaching: lectures; laboratory works; independent work; course project.
Methods of Teaching: elements of problematic lectures, individual tasks for independent work,
problematic situations modeling in laboratory and independent work, defense of the course software
program containing the developed database and its application.
8. Assessment Forms: continuous assessment; admission of self-developed software programs,
containing databases and database applications, if required; course project defense; final
examination paper.
9. Assessment Criteria: only those students who completed the curriculum are allowed to
write the exam paper, namely those who: successfully fulfilled laboratory works and proved the
operability of the self-developed software programs to the teacher, and also prepared a paper report
and a software program on the chosen course topic in the electronic variant, and defended their
work before an audience of their groupmates and teaching staff.
Assessment scale for all the educational activities during the semester:
10. Supportive Materials:
• Syllabus;
• Time schedule of the discipline;
• Textbooks;
• Study guides printed by the Department, laboratory operations manuals (hard-cover and
electronic copies);
• Electronic lecture notes;
• Sets of individual tasks for independent work;
• Tasks for module tests;
• A list of topics for course projects;
• Tests for the examination paper.
11. Language of Instruction: Russian (due to the fact that the groups contain a significant
number of foreign students who have Russian as the language of instruction in their contracts).
12. List of Recommended Literature:
Basic
1. Хомоненко А.Д., Цыганков.М., Мальцев М.Г Базы данных: Учебник, 5-е издание
(Databases: Textbook, 5th Edition)– Москва: Бином-Пресс, 2006. – 732 с.
2. Кузнецов С. Д. Основы баз данных. Интернет-университет информационных
технологий (An Introduction to Databases. Internet-University Information Technologies) –
ИНТУИТ.ру, 2005.
3. Д. Мейер Теория реляционных баз данных (The Relational Database Theory), Мир,
1987 .
4. Когаловский М.Р. Энциклопедия технологий баз данных (The Database Technologies
Encyclopedia), М.: Финансы и статистика, 2002
5. Гектор Гарсиа-Молина, Джеффри Ульман, Дженифер Уидом Системы баз данных.
Полный курс (Database Systems. Full-Time Course) М., С.-Петербург, Киев: Вильямс, 2003.
Supplementary
1. Мартин Грабер Введение в SQL (An Introduction to the SQL), Москва , Лори, 1990
2. Джон Л. Вескас, Майк Гандерлоу, Мэри Чипмен Access и SQL Server. Руководство
разработчика (Access and the SQL Server. Guidance for a Design Engineer). Москва , Лори,
1996.
3. Васильев А., Андреев А. VBA в Office 2000. Учебный курс (VBA in Office 2000.
Course of Study). С.Петербург, Москва, Харьков, Минск, Питер, 2001.
DISCIPLINE ANNOTATION
Mathematical Methods of Operations Research
Lecturer: Andriy Volodymyrovych Gakhov, PhD (Physics and Mathematics), Associate
Professor.
The aim of studying a course in “Mathematical Methods of Operations Research (MMOR)”
is providing students with theoretical knowledge and practical skills in applying operations research
methods while preparing and crucial decision-making in business and industrial systems.
Discipline Objectives:
- to familiarize students with various areas and methodology of operations research;
- to teach future specialists to apply mathematical, i.e. quantitative methods both
theoretically and practically for argumentation at the decision-making process in various branches
of economy.
Knowledge, Skills and Abilities:
Abilities that supposed to be acquired by a student:
- have a notion of:
 applying the methods of operations research in solving new practical problems;
- know:
 theoretical foundations of the mathematical methods of operations research;
 basic methods applied in solving problems within the operations research theory;
 application areas and features of the mathematical methods of operations research.
- be able to:
 construct mathematical models on the basis of an economic problem statement;
 select a class from a range of classes in the mathematical methods of operations research for
set practical problems solving;
 apply the mathematical methods of operations research;
 analyze the obtained results and give their economic interpretation.
Course Duration and Activities:
A course in “Mathematical Methods of Operations Research” is delivered during the
seventh semester according to the following schedule of classes per week (18 weeks in total):
2 hours of lectures and 2 hours of workshops.
During the lectures the following theoretical foundations of the discipline are given: basic
concepts and definitions, theorems and algorithms of computational methods and examples of their
application for solving certain classes of problems.
During the workshops students hone their problem-solving skills and come to grips with
applying their theoretical knowledge for practical problems solving within the operations research
theory.
Prior Requirements:
For mastering the course it is desirable that students should have basic knowledge in the
following studies:
“Higher Mathematics” (chapters – “Linear Algebra”, “Analytic Geometry” and
“Mathematical Analysis”);
“Discrete Mathematics”;
“Optimization Methods”;
“The Probability Theory”.
The total grade is the sum of points including the factors listed in the table below.
№
Factor
Commentary
%
1.
Handing in laboratory works For each additional week
± 10%
and individual tasks before
the deadline
2.
Working activity at the
Required minimum – one performance
± 10%
lessons
at the blackboard solving a problem
3.
Attendance
Penalty points for missing more than
- 10 points
80% of classes
4.
Additional information
Solving problems of high complexity,
+ 10%
learning extra materials etc.
At the examination students are given four tasks – two theoretical tasks based on the lecture
material and two practical tasks. The maximum number of points for the right answer to the
theoretical task is 5 points, for the practical one – 15 points. In total, the maximum number of
points a student can get at the exam is 40 points.
The mark itself depends on the total number of points, it is given according to the following
assessment scale:
Recommended Literature
1. Таха Х. А. Введение в исследование операций, 7-е издание. Пер. с англ. (Operations
Research: An Introduction, 7th Edition. Translated from English)– М.: Издательский дом
«Вильямс», 2005 – 912с.
2. Конюховский П. В. Математические методы исследования операций в экономике
(Mathematical Methods of Operations Research in Economics)– СПб.:Питер, 2000 – 208с.
3. Костюкова О.И. Исследование операций: Учеб. пособие для студ. (Operations
Research: a Study Guide for Students) – Минск: БГУИР, 2003 – 94 с.
4. Волков И.К., Загоруйко Е.А. Исследование операций: Учеб. для вузов (Operations
Research: a Study Guide for Higher Educational Establishments) / Под ред. B.C. Зарубина, А.П.
Крищенко. – М.: Изд-во МГТУ им. Н.Э. Баумана, 2000. – 436 с.
5. Перельман М.А. Дослідження операцій в задачах автомобільного траспорту: Учб.
посібник (Operations Research in Auto Traffic Problems: a Study Guide). – Х.: ІСДО, ХДАДТУ,
1995. – 135с.
6. Мулен Э. Теория игр с примерами из математической экономики: Пер. с франц. (The
Game Theory with Examples from Mathematical Economics: Translated from French) – М.: Мир,
1985. – 200с.
Supplementary
1.
Банди Б. Основы линейного программирования / Пер. с англ. (Basic Linear
Programming / Translated from English) – М.: Радио и связь, 1989.
2.
Схрейвер А. Теорія линейного и целочисленного программирования. (The
Theory of Linear and Integer Programming) – М.: Мир, 1991.
3.
Ху Т. Целочисленное программирование и потоки в сетях (Integer Programming
and Network Dataflows). – М.: Мир, 1974.
4.
Акулич И.Л. Математическое программирование в примерах и задачах: Учеб.
пособие для студентов (Mathematical Programming. Examples and Problems: a Study Guide for
Students). – Минск: Высшая школа, 1986.
5.
Кремер Н.Ш. Исследование операций в экономике (Operations Research in
Economics). – М., 1997.
Professional Applied Software Packages
TORA (http ://taha.ineg.uark.edu/tora.html)
DISCIPLINE ANNOTATION
The Control Theory
Lecturer: Vitaliy Ivanovych Iesin, PhD in Engineering, Associate Professor.
Prior Requirements: studying “The Control Theory” discipline requires preliminary
knowledge of the following disciplines: “Higher Mathematics”, “Physics”, “Accuracy and
Precision”, “Systems Analysis”, “Algorithmic Languages and Programming”, “Computer Basics”.
Course Aims: to lay theoretical foundations, to teach students to conduct control systems
analysis and design, to familiarize them with control techniques of engineering systems and
facilities, information technologies and projects.
Discipline Objectives: to provide students with theoretical knowledge and practical skills
in applying control techniques of engineering systems and facilities, information technologies and
projects.
Abilities that supposed to be acquired by a student:
KNOW:
 basic concepts of the control theory;
 methods for dynamic processes estimation (Kalman filter);
 methods for classical variational calculus;
 the Pontryagin maximum principle;
 the dynamic programming method;
 methods for information technology control;
 theoretical foundations of project control.
BE ABLE TO:
 analyze the controllability and observability of control systems;
 study dynamic systems robustness;
 analyze optimization problem-solving procedures;
 solve optimization problems;
 construct optimal control algorithms;
 follow the world standards for information technology control;
 create software designs.
Discipline Description: The optimal control theory. Information technology control. Project
control.
Assessment Forms: two module papers and one test paper are to be held within the course
of study, the final assessment is to be conducted in the form of an examination paper.
Supportive Materials:
1. Texts of lectures (printed and electronic variants).
2. Workshops schedule (printed and electronic variants).
3. Syllabus.
4. Tasks for the test paper and two module papers.
5. Examination questions.
Recommended Literature
Basic
1.
Михайлов В. С. Теория управления (The Control Theory). — К.: Выща шк.
Головное изд-во, 1988. — 312 с; 26 табл., 80 ил.
2.
Основы теории управления : учеб. пособие (An Introduction to the Control
Theory: a Study Guide) /Ю.Ю. Громов, В.О. Драчёв, О. Г. Иванова, Ю.С. Сербулов, К.А.
Набатов. – Тамбов : Изд-во Тамб. гос.техн. ун-та, 2008. – 240 с.
3.
Певзнер Л. Д. Теория систем управления (The Control Systems Theory). — М.:
Издательство Московского государственного горного университета, 2002. — 472 с.
Supplementary
1.
Александров А. Г. Оптимальные и адаптивные системы: Учеб. Пособие для
вузов по спец. "Автоматика и упр. в техн. системах" (Optimal and Adaptive Systems: a Study
Guide for Higher Educational Establishments Specialized in Automatation and Management in
Engineering Systems). - М.: Высш.шк.,1989.-263 с.: ил.
2.
Достаточно общая теория управления (Basic Control Theory)/ Постановочные
материалы учебного курса факультета прикладной математики — процессов управления
Санкт-Петербургского государственного университета (1997 — 2003 гг.)
3.
Основы теории оптимального управления: Учеб. Пособие для экон. вузов (An
Introduction to the Optimal Control Theory: Manual. A Study Guide for Economic Higher
Educational Establishments) / В.Ф. Кротов, Б.А. Лагоша, С.М. Лобанов и др.; Под ред. В.Ф.
Кротова.- М.: Высш.шк.,1990.- 430 с.: ил.
4.
Сотсков А.И., Колесник Г.В. Оптимальное управление в примерах и задачах
(Optimal Control. Examples and Problems). – М.: Российская экономическая школа, 2002 – 58
с.
5.
Теория управления: Учебник (The Control Theory: Textbook)/ Под общ. ред. А.
Л. Гапоненко, А. П. Панкрухина.- М.: Изд-во РАГС, 2003.-558с.
Information Resources
1.
Справочник по прикладной статистике. В 2-х т. Т.2: Пер. с англ.(A Directory on
Practical Statistics. 2-volumed Edition. Volume 2: Translated from English) / Под ред. Э. Ллойда,
У. Ледермана, С.А. Айвазяна, Ю.Н. Тюрина. – М.: Финансы и статистика, 1990. – 526 с.: ил.
2.
Справочник по теории автоматического управления (A Directory on the
Automatic Control Theory) / Под ред. А.А. Красовского .- М.: Наука, Гл. ред физ.-мат. Лит.,
1987.- 712 с.
3.
CobiT 4.1 Российское издание. Методология. Цели контроля. Руководство по
управлению. Модели зрелости процессов. (CobiT 4.1 Russian Edition. Methodology. Control
Aims. Management Manual. Capability Maturity Model) - М.: Аудит и контроль
информационных систем, 2008
4.
С. Гузик Стандарт CobiT. Управление и аудит информационных технологий.
Особенности проведения внешнего аудита ИТ. (CobiT Standard. Control and Audit in
Information
Technologies.
External
Audit
Features
in
IT)/
http://citforum.nis.nnov.su/consulting/standart_cobit/
5.
Ефремов В.С. Проектное управление: модели и методы принятия решений
(Project
Control:
Decision-Making
Models
and
Methods)/
http://www.cfin.ru/press/management/1998-6/11.shtml
DISCIPLINE ANNOTATION
Theory of Information
Lecturer. Leonid Stepanovych Soroka, Doctor of Science, Full Professor
Aim: To teach students to measure quantitative characteristic of the process of information
transmission, storage and processing in data-transmission systems, as well as to make students
master up-to-date information methods of signal transformation means analysis.
Tasks of the course: Following the completion of the course a student must:
KNOW:
1. Mathematical models of signals, obstructions and communication channels.
2. The basics of the information interchange principle in the data-transmission systems.
3. Coordination of signals and channels characteristics principles under the condition of rigid
constraint of a physical resource.
4. Methods of increasing the authenticity of the discrete information with the help of anti-noise
coding and feedback data-transmission systems.
BE ABLE TO:
1. Calculate basic information characteristic of a message source.
2. Calculate basic information and engineering data of data-transmission systems.
3. Use up-to-date information methods of analyzing transmission and processing information
means.
4. Calculate the coordination of the channel capacity and the informational capacity of the
source.
5. Apply basic provisions of the theory of information to estimate the information
and engineering data of the elements of control and communication systems.
6. Implement of encoding and decoding appliances of anti-noise codes.
BE FAMILIARIZED:
With up-to-date directions of development of the theory of information and its practical usage.
Description of the course:
Information, messages, signal, communication channel, communication system. Information
transmission systems classification. Basic characteristic of the data-transmission system.
Obstructions and distortions in communication channels. Amount of information and entropy.
Entropy of a random experiment with equiprobable and unequal-probability consequences.
Conditional entropy. Federated systems entropy. Discrete message source entropy. Entropy of a
source of continuous messages. Excessiveness of the message sources. Determined and random
signals (processes). Stationary random process. Elements of Furier spectral theory of
transformation. Energy spectrum. Signal quantization by time. Kotelnykov theorem. Signal
quantization by level. Correlation function of a stationary random process. Wiener-Khintchin
theorem. Communication channels classification. A model of a continuous communication channel.
A model of a discrete communication channel. Shannon theorem for a communication channel
without interference. Effective encoding. Throughput capacity of a discrete communication
channel. Shannon theorem for a channel with interference. Throughout capacity of a continuous
communication channel. Coordination of message sources with communication channels. Means of
increasing authenticity of information. Feedback data-transmission systems. Principles of anti-noise
encoding. Anti-noise codes classification. Basic characteristic of anti-noise codes. Major anti-noise
codes. Methods of making encoders and decoders of major anti-noise codes. Features of application
of encoding and decoding anti-noise codes appliance.
Assessment Forms: monitoring of students' work is realized at workshops in the form of a quiz.
Final assessment takes the form of an end-of-term test.
Supportive Materials:
1. "The Theory of Information" course, electronic version.
2. Power Point presentations "The Theory of Information"
3. Methodological instructions to workshops and self-study.
Recommended Literature:
Basic:
1. Сорока Л.С. Основи теорії інформації (Basics of the Theory of Information):
Навчальний посібник. X.: ХНУ ім. В.Н. Каразіна, 2007.-264 с
2. Краснобаев В.А., Фурман LA. Теорія інформації (The Theory of Information):
Підручник для ВНЗ / М-во освіти і науки України. - К., 2005. - 160 с
3. Сорока Л.С. Основы теории минимально-избыточных сигналов. Математические
методы и средства обработки (Basics of the Theory of Minimally-Excess Signals):
Монография.- X.: МОУ ОНИИ ВС, 2005.- 280 с.
Supplementary
1. A.H. Колмогоров Избранные труды. III том: Теория информации и теория алгоритмов
(The Theory of Information and the Theory of Algorithms) M., "Наука", 1987, - 303 с.
2. Блейхут Р. Теория и практика кодов, контролирующих ошибки (Theory and Practice of
Mistakes-Controlling Codes) / Пер. с англ. - M.: Мир, 1986. - 576 c.
3. Кузьмин И.В. Основы теории информации и кодирования (Basics of the
Theory of Information and Encoding)/ И.В. Кузьмин, В.А. Кедрус - К.: Вища школа, 1986. 238 с.
4. Лосев Ю.И. Основы теории передачи данных. (Basics of the Theory of Data Transmission^.:
ВИРТА, 1992.-233 с
5. Никитин Г. И. Помехоустойчивые циклические коды: Учеб. пособие. (Anti-noise Cyclic
Coding: Turorial)- Санкт-Петербург. – СП б ГУАП, 2003. -33 с.
6. Питерсон У. Коды, исправляющие ошибки (Mistakes Correcting Codes)/ У. Питерсон, Э.
Уэлдон.: Пер. с англ. - М.: Мир, 1976. - 600 с.
7. Шульгин В.И. Основы теории передачи информации. Ч. 2. Помехоустойчивое
кодирование: Учеб. пособие. (Basics of the Information Transmission Theory. Part 2. Antinoise Coding: Tutorial) - Харьков: Нац. аэрокосм, ун-т «Харьк. авиац. институт», 2003. - 87
с.
DISCIPLINE ANNOTATION
Numerical Methods in Information
Lecturer: A. V. Hakhov, PhD , Associate Professor
Aim of the course: to form theoretical knowledge and practical skills of using numerical methods
in solving various applied problems, as well as to teach students to assess accuracy of the results.
Tasks of the course:
1. Familiarization with various directions and methodology of calculus mathematics.
2. Teaching future specialists theory and practice of implementation of numerical
methods and assessing final results' accuracy.
List of obtained knowledge and skills
Following the completion of the course students must:
Have a notion about:
- ways of solving new applied problems with the help of computer-based calculations.
Know:
-theoretical basis for numerical methods,
-basic methods (method classes) and algorithms used in solving applied problems.
-areas and peculiarities of using numerical methods in computer-based calculations.
Be able to:
-choose computational approach class to numerically solve assigned problem
-use numerical methods
-analyze obtained data and assess their accuracy.
Duration and activities
The course of Numerical Methods in Information is taught in semester 5 by the following
schedule of teacher-guided classes per week (16 weeks): 2 hours of lectures and 2 hours of teacherguided classes.
During the lectures the theoretical basis for the course is taught: basic notions and definitions,
theorems and algorithms of computational approach, examples of their
application to solve certain classes of problems are provided.
During the teacher-guided classes students train solving algorithms and get to know the
peculiarities of application of the theoretical knowledge of numerical realization of the algorithms
and solving practical tasks they have obtained.
Preliminary knowledge
To successfully master the course students must have basic knowledge of the following courses:
"Higher Mathematics" (sections - "Linear Algebra", "Analytic Geometry", "Mathematical
Analysis")
"Object-oriented Programming"
Students get a maximum of 40 points for the final test. The grade is given depending on the total
sum of points according to the following scale:
Basic literature:
B.M. Вержбицкий Численные методы: Линейная алгебра и нелинейные уравнения: Учебное
пособие для вузов. (Numerical Methods: Linear Algebra and Non-Linear Equations)- M.: Высшая
школа , 2000 - 266 с.
H.C. Бахвалов, Н.П. Жидков, Г.М. Кобельков Численные методы. (Numerical Methods)- M.:
БИНОМ, 2008. - 640 с.
В.М. Вержбицкий Основы численных методов: Учеб. пособие для вузов.
(Basic Principles of Numerical Methods) - M.: Высшая школа, 2002. - 840 с. B.M. Вержбицкий
Численные методы. Математический анализ и
обыкновенные дифференциальные уравнения. (Numerical Methods.
Mathematical Analysis and Ordinary Differential Equations) - M. Высшая
школа, 2001.-382 с.
Дж. Форсайт, К. Моллер Численное решение систем линейных алгебраических уравнений.
(Numerical Solution of a System of Linear Equations)- M.: Мир, 1969. - 166 с.
Сборник задач (Collected problems) под ред. П.И. Монастырного. - М.: Наука,
1994.
Supplementary literature
Д.К. Фадеев, В.Н. Фадеева Вычислительные методы линейной алгебры. (Computational
Approaches to Linear Algebra)- М.:Лань, 2002. - 736 с.
Ч. Лоусон, Р. Хенсон Численное решение задач метода наименьших квадратов. (Numerical
Way of Solving Problems on Technique Least-Squares Method)- M.: Наука, 1986. - 232 с.
Дж. Ортега, В. Рейнболдт Итерационные методы решения нелинейных систем уравнений
со многими неизвестными. (Iterative Methods of Solving Non-Linear Equation Systems with
Many Unknown Quantities)- M.: Мир, 1975.
A.A. Самарский, А.В. Гулин Численные методы. (Numerical Methods) - М.:Наука, 1978
Professional application software package
Scilab (http://www.scilab.org/)
DISCIPLINE ANNOTATION
Principles of the Theory of Operating Complex Systems
Lecturer: Volodymyr Mykhailovych Kuklin, PhD, Full Professor Aim and
tasks of the course
Aim of the course: to form basic notions and categories of the theory of electronics reliability, its
service properties, principles of index choice and grounds for necessary reliability, reliability
calculation methods, ensuring the necessary level of reliability of such appliance, basic principles of
the theory of operation, essence of the main operating actions: technical service, repairs, diagnosis
supervision, material and technical support. To teach basic methods of planning technical service.
To give practical skills of calculating basic indicators of reliability, control's influence on reliability
indicators, analyzing and interpretation of the results of planning technical service and reliability
calculations.
Following the completion of the course students must:
KNOW:
Basic notions, terms, and the reliability indicators system of electronics.
Basic models of lifetime distribution and recovery time of electronics.
Methodological principles of calculation and ensuring electronics reliability.
Principles of choosing indicators and grounds for necessary reliability of electronics.
Kinds of technical service and their characteristic, methods of planning and operating
this service.
Principles of the theory of electronics technical state and diagnostics control.
Be able to:
Calculate faults of electronic elements.
Calculate single and integrated reliability index of electronics.
Define assessment of reliability index of redundant systems with updating.
Analyze control influence on electronics reliability index.
Build network models of technical service and analyze them.
Be familiarized with:
Electronics reliability impact factors.
List of preliminary courses:
The "Principles of the Theory of Operating Complex Systems" course is taught in semester 7 and
consists of lectures, workshops and independent work. All technical equipment is provided.
The course study grounds on theoretical and practical knowledge obtained by students from the
following courses: Physics, Higher Mathematics, Probability Theory and Mathematical Statistics,
Circuit Theory and Magnetic Theory, Electronics and Microcircuitry, Systems Analysis, Complex
Compute Network Components.
DISCIPLINE ANNOTATION
Introduction to the Major
Lecturer: Associate Professor of the chairs of Theoretical and Applied Systems Engineering,
PhD, Sergii Ihorovych Shmatkov
Aims and tasks of the course Aim of
the course
To give students general idea of the major, concerning basic principles of informatics and systems
analysis, creation history and structure principles of computer systems and networks.
Tasks of the course
Following the completion of the course students must:
Know:
- basic notions and terms of informatics and the theory of complex systems.
- creation history of the computer and computer networks
- computer views of information
- hardware tools structure and software
- basic principles of computer network structure
- networks standardization methods
Be able to:
- classify existing and perspective complex systems
- use the rules of binary arithmetic
-analyze structure and principles of computer systems
Syllabus of the course
Module 1
Topic 1. Basic principles of informatics
Topic 2. Basic principles of systems analysis
Topic 3. Basic principles of computer systems structure
Module 2
Topic 4. Evolution of computer networks
Topic 5. General principles of computer systems structure
Topic 6. Network standardization
Methods of instruction
Basic material of the course is introduces to students in the form of lectures. Much attention is paid
to explaining physical sense of the processes under study. Visual methods are used via multimedia
equipment. Laboratory work contribute to deepening the knowledge obtained at the lectures.
Methods of control
Students' work is controlled at workshops and during laboratory work in the form of tests. The final
control is presented if the form of a test and an examination.
Recommended literature
Basic
1. Г.Н. Жолткевич и др. Інформатика для инженеров. (Informatics for Engineers) - X.:
Издательство «Факт», 2005, - 423 с.
2. Ф.И. Перегудов, Ф.П.Тарасенко. Введение в системный анализ. (Introduction to the
Systems Analysis) - M.: «Высшая школа», 1989, - 367 с.
3. В.Г.Олифер, Н.А.Олифер. Компьютерные сети. (Computer Networks) - Питер, 2008, - 957
с.
Supplementary
1. В.А.Краснобаєв та ін. Методологія системного аналізу технічних систем. (Methodology of
Systems Analysis of Engineering Systems ) - X.: «Факт», 2009, - 297 с.
2. В.В.Корнеев. Вычислительные системы. (Computer Systems)- M.: «Гелиос», 2004,510 с.
DISCIPLINE ANNOTATION
Systems of Artificial Intelligence
Lecturer: Associate Professor of the chairs of Theoretical and Applied Systems Engineering, PhD,
Sergii Ihorovych Shmatkov
Aim of the course.
To teach students to use methods of artificial intelligence to analyze complex systems
Tasks of the course
Following the completion of the course students must: Know:
- numeration of phrases and numeration of objects
- search for solutions methods
- principles of production systems
- methods of representing knowledge
- principles of expert systems structure
- structure of neural networks and their types
- features of genetic algorithms and artificial life algorithms.
Be able to:
- design control algorithms based on predicate numeration
- use systems based on rules of design and modification without knowledge
- analyze structure and algorithms of neural networks instruction
- solve problems of non-informed and heuristic search
- use heuristic methods of the "ant algorithm" type for solving optimization tasks.
Syllabus of the course
Module 1
Topic 1. Introduction to artificial intelligence
Topic 2. Search in the space of the states
Module 2.
Topic 3. Knowledge presentation
Topic 4. Machine learning
Methods of instruction
Basic material of the course is introduces to students in the form of lectures. Much attention is paid
to explaining physical sense of the processes under study. Visual methods are used via multimedia
equipment. Laboratory work contribute to deepening the knowledge obtained at the lectures.
Methods of control
Students' work is controlled at workshops and during laboratory work in the form of tests. The final
control is presented if the form of a test and an examination.
Grades distribution
Current test and individual student work
Final control Total
grade
T1
Module I
T2
T3
Module II
T4
15
15
15
15
40
100
T1, T2, - topics of the modules.
Recommended literature
Basic
1. Д.Ф.Люгер. Искусственный интеллект. (Artificial Intelligence) - Вильяме, 2005, 863 c.
2. М.Т.Джонс. Программирование искусственного интеллекта в приложениях. (Artificial
Intelligence Programming in Applications)- M.: ДМК, 2004, - 311 с
Supplementary
1. С.Рассел, П.Норвиг. Искусственный интеллект. (Artificial Intelligence)- Вильямс, 2006, 1407 с.
2. А.Эндрю. Искусственный интеллект.(Artificial Intelligence) - М.: Мир, 1995,-221 с.
3. Б.Уитби. Искусственный интеллект. (Artificial Intelligence)- M,: Гранд, 2004,-221 с.
DISCIPLINE ANNOTATION
Application Packages
Lecturer: Associate Professor of the chairs of Theoretical and Applied Systems Engineering,
PhD, Dmytro Oleksiiovych Bulavin
Aims and tasks of the course
Modern computer mathematics offers a wide range of integrated software systems and program
packages to automatize mathematical calculations: Eureka, Gauss, TK Solver!, MatLab, Mathcad,
Mathematica, Maple V and others.
Aim of the course
is to make students master theoretical and practical basic principles of working with
application packages, software realization of solvong a range of mathematical tasks.
Tasks of the course:
- to learn basic terms and notions of application packages Mathcad, MatLab
- to introduce students to the basic principles of representing information of various origin and
principles of data entry in Mathcad, MatLab
- to introduce students to the features of solving problems in vector and matrix algebra
- to examine basic structure principles of two-dimensional and three-dimensional graphs and
further work with them.
- to give practical methods of solving simultaneous linear equations, approximation, optimization
and other problems
Following the completion of the course a student must
Know:
- basic terms and notions of application packages Mathcad, MatLab;
- basic functions of working with vectors and matrixes
- principles of building two-dimensional and three-dimensional graphs
- algorithms of solving simultaneous linear equations
- methods of solving approximation and optimization problems
- main principles of working with basic toolboxes (Optimization, Simulink).
Be able to:
- solve vector and matrix algebra problems
-build two-dimensional and three-dimensional graphs
- solve simultaneous linear equations
-solve approximation and optimization problems
- solve problems with the help of basic toolboxes(Optimization, Simulink).
Methods of instruction
During the lectures and workshops of the course a complex of technical facilities is used,
particularly computer video. Course books and manuals are provided.
Laboratory work is done in a computer class using modeling application package MathCAD,
MatLab, relevant tasks and methodological recommendations on their fulfilment are provided.
Control tasks cover all main questions that define to what extent students are ready to solve
practical problems.
Methods of control
Control of course mastering is performed in the way of:
- current control during workshops
- laboratory reports
- tests after after each principle part of the course
- written final control test
Grades Distribution.
Current test and individual work
Final semester
control
Total
grade
Module 1
T1 T2 T3 T4
20
30
100
20 20 10
Module 2
Module 3
T5 T6
T7
T8 T9
T10
T11
10
10
10
10
10
10
10
Module 1 topics are tested by workshops #1, 2, 3 and the final test.
Module 2 topics are tested by workshops #4, 5 laboratory reports #1,2 and test #3
Module 3 topics are tested by laboratory reports #3, 4
Minima] points that a student should gain to accomplish their module: Module 1100 points Module 2, 3 - 100 points
A student only is allowed to take the final semester test if their laboratory reports have been
accepted and he has gained at least 30 points for current control.
Recommended Literature
1. Дьяконов В.П. Справочник по Mathcad PLUS 6.0 PRO. (Mathcad PLUS 6.0 PRO Manual)M.: «CK Пресс», 1997. - 336 с.
2. Дьяконов В. П. Справочник по Mathcad 7 Pro. (Mathcad 7 Pro. Manual) M. : «CK
Прогресс», 1998
3. Дьяконов В.П., Абраменкова И.В. Mathcad 8 PRO в математике, физике и в Internet.
(Mathcad 8 PRO in Mathematics, Physics and the Internet)- M.: «Нолидж», 1999.-512 c.
4. Дьяконов В. Mathcad 8/2000. Специальный справочник.( Mathcad 8/2000. Special Manual) СПб: Питер, 2001. - 592 с.
5. Зимина О.В., Кириллов А.И., Сальникова Т.А. Высшая математика. (Higher Mathematics)M.: Физико-математическая литература, 2000. - 368 с.
6. Мироненко Е.С. Высшая математика. Методические указания и контрольные задания для
студентов-заочников инженерных специальностей вузов. (Higher Mathematics.
Methodological Instruction and Tests for Correspondence Students of Engineering)- M.:
Высшая школа, 1998. - 110 с.
7. Очков В.Ф. Mathcad PLUS 6.0 для инженеров и студентов. (Mathcad PLUS 6.0 for
Engineers and Students)- M.: TOO фирма «КомпьютерПресс», 1996. – 238 с.
8. Плис А.И., Сливина Н.А. Mathcad: математический практикум для экономистов и
инженеров: Учебное пособие. (Mathcad: Mathematical Practical Work for Economists and
Engineers: Manual) - M.: Финансы и статистика, 1999. - 656 с.
9. Райхмист Р.Б. Графики функций: задачи и упражнения. (Function Graphs: Tasks and
Exercises) - M.: Школа-Пресс, 1997. - 384 с.
10. Mathcad 6.0 PLUS . Финансовые, инженерные и научные расчеты в среде Windows 95.
(Mathcad 6.0 PLUS Financial, Engineering and Scientific Calculation in Windows 95
Environment) - M.: Информационно-издательский дом «Филинъ», 1997. - 712 с.
11. Дьяконов В.П. MATLAB 6. Учебный курс .( MATLAB 6. Tutorial) - СПб.: Питер, 2001.592 с.
11. Баженов В.А., Дащенко А.Ф., Коломиец Л.В., Оробей В.Ф. Строительная механика.
Специальный курс. Применение метода граничных элементов. (Structural Mechanics.
Special Course. Boundary Items Method Application) - Одесса: Астропринт, 2001. - 288 с.
12. Строительная механика. Динамика и устойчивость сооружений (Structural Mechanics.
Structure Dynamics and Stability )/ Под ред. А.Ф. Смирнова. - М. : Стройиздат, 1984.-415 с.
13. Турчак Л.И. Основы численных методов. (Basics of Numerical Method) - M.: Наука, 1987.320 с.
14. Мэтьюз Дж.Г., Финк К.Д. Численные методы. Использование MATLAB. (Numerical
Methods. MATLAB Application. )Пер. с англ. - М.: Изд. Дом «Вильяме», 2001. - 720 с.
15. Дьяконов В., Круглов В. Математические пакеты расширения MATLAB. Специальный
справочник. (MATLAB Mathematics Bump Packs ) - СПб.: Питер, 2001.-480 с.
DISCIPLINE ANNOTATION
Optoinformatics
Lecturer: Grygorii Mykolaiovych Dolia, Full Professor, Doctor of Science. Prelims:
Prior requirements:
Aim of the course is to teach students basic principles of photonics and optical technologies in
informatics, as well as to train skills of calculating typical optoelectronic device characteristic.
Tasks of the course:
- to introduce students to the principles of the structure of optoelectronic devices used in
computer engineering
- to form systematic conception of optical and optoelectronic devices of information processing
- to practice engineering and calculation of basic setting of computer optical and
optoelectronic devices.
Following the completion of the course a student must:
Know:
- basic characteristic, structure and functioning principles of laser and optoelectronic computer
devices
- operating rules and safety measures at using laser and optoelectronic computer devices
- Main areas of improvement, modernization and perspective development of laser
and optoelectronic computer devices.
- capacity limiting factors of the above mentioned systems.
Be able to:
- ground and calculate main technical characteristics of laser and optoelectronic computer
devices
- individually master equipment, study the structure of up-to-date, updated and perspective
laser and optoelectronic computer devices
- troubleshoot elements and devices of optoelectronic systems during operation, choose best
performance mode.
- Assess and analyze the possibility of using optical systems under different conditions.
Course description
Optical radiation receivers. Elements of laser-building. Laser radiation generation.
Optical modulators. Optical peripheral units of a PC. Optical disk storage devices. Holographic
storage units. Analogue optical computers. Digital optical computers.
Supportive materials
1. Доля Г.Н. Чудовская Е.С. Методические материалы по учебной дисциплине
«Оптоинформатика». Часть 1. «Основы фотоники». Харьков - 2008.
2. Доля Г.Н. Чудовская Е.С. Методические материалы по учебной дисциплине
«Оптоинформатика». Часть 2. «Оптические технологии в вычислительной технике».
Харьков - 2008
Recommended literature
Basic
1. Справочник по лазерной технике. (Laser Technology Reference Book) Киев, „Техника",
1978.
2. Г. Боухьюз и др. Оптические дисковые системы. (Optical Disc Systems) - М., Радио и связь,
1991.
3. Акаев А.А., Майоров С.А. Оптические методы обработки информации. (Optical Methods of
Information Processing)- M.: Высшая школа, 1988.
4. Д. Гринфилд. Оптические сети. (Optical Networks)- К., ООО «ТИД ДС», 2002
5. М.Янг. Оптика и лазеры, включая волоконную оптику и оптические волноводы (Optics and
Lasers, Including Fiber Optics and Optical Waveguides): Пер. с англ.- М.: Мир, 2005.
Supplementary
1.Новые физические принципы оптической обработки информации (New Phisical Principles
of Optical Information Processing)/ Сборник статей под ред. С.А. Ахманова, 1990.
2.Р. Фриман. Волоконно- оптические систмы связи.(РіЬег-Оргісз Communication Systems) —
М., Техносфера. 2004
3. Оптическая голография (Optical Holography) / Под ред. Г.Колфилда. - М., Мир, 1982
4. Справочник по лазерам (Lasers Reference Book)/ Под ред. A.M. Прохорова. В 2-х томах. М. Сов радио, 1978.
DISCIPLINE ANNOTATION
DIRECTION “SYSTEN INGENEERING”
Graduate Level
Patents and Intellectual Property Rights
Lecturer: Head of the Laboratory of System Engineering, Junior Member of the Department
Artyukh О.А.
Aim:
To make students acquainted with basic notions of patent system, main objects and subjects of
intellectual and industrial property, achieve skills of defining the technology level of on the basis of
patent and technical information, achieve skills of patent work and certification.
Tasks:
Following the completion of the course a student must:
know:
classification of person’s rights which are part of industrial property, normative and
legislative basis in the sphere of industrial property, main notion of objects and subjects of
industrial property as parts of patent system, form of search of scientific and technical and patent
information, stages of patent examining, order and methods of writing application for a patent,
documents for objects of industrial property, system of international classification of objects of
industrial property.
Be able to:
use normative and legislative basis in the sphere of industrial property and patent law, do
patent search and write a report on patent research, write license agreements about the conveyance
of industrial property and application for a title of protection.
Methods of teaching
The material is mostly given at lectures. The great attention at lectures is paid to all latest
changes in legislation concerning protection of intellectual and industrial property. Multimedia
equipment ensures the visuality of teaching.
Practical skills promote extending of knowledge obtained at lectures and achieving practical
skills.
Assessment Forms
Assessment is realized at workshops via tests. Final assessment is realized via final written
test.
1.
2.
3.
4.
Recommended Literature:
Basic
Кузнєцов Ю.М. Патентознавство та авторське право (Patents and Copyright). – Кондор,
2004, - 428с.
Дахно І.І. Право інтелектуальної власності (Intellectual Property Right). – Центр
навчальної літератури, 2006, - 278с.
Патентные исследованя: Часть 1. Работа с патентной информацией (Patent Research. Part
1. Work with Patent Information) (методическое пособие)/ Под ред. Шаншурова Г.А. –
Новосибирск: НГТУ, 2003.
Шаншуров Г.А. Патентные исследованя: Часть 2. Правила проведения патентных
исследований (Patent Research. Part 2. Rules of Patent Research) (методическое пособие). Новосибирск: НГТУ, 2003.
DISCIPLINE ANNOTATION
The Decision-Making Theory at Complex Computer Systems Management
Lecturer: Iuriy Ivanovych Losev, Full Professor, D.Sc. (Engineering).
Discipline Aims: To give the students the basic knowledge on decision-making methods
while managing complex computer systems, methods for quality evaluation of the decisions made
and development forecasting. Teach the basic decision-making techniques under uncertainty, choice
of optimal alternatives in a fuzzy environment.
Discipline Objective:
Following the completion of the course students must:
know:
Characteristics of the computer management system. Network performance criteria and the
impact of the network management system on them. Methodological basis of the decision-making
process in network management. Characteristics of the preparation and decision-making processes.
The conceptual model of decision-making in network management. The decision-making methods
in network management. The situation assessment method. Situation planning and management.
Merits and consequences evaluation techniques of the decision-making process in network
management. Quality evaluation of the decisions made. Decision-making under uncertainty. Choice
of optimal alternatives in a fuzzy environment. The basic functional connections in the theory of
utility. Using artificial intelligence in network management. Simulation techniques for the
preparation and decision-making processes in network management.
be able to:
Evaluate network performance and management system. Specify such network features as
operativeness, capability and optimality. Consider the criterion for randomness, ambiguity of
information at the decision-making process. Define the conceptual model of decision-making and
its separate stages. Identify network elements connectivity at the decision-making process on
network management, evaluate the merits of decision-making process and the decisionimplementation consequences. Develop a frame-based knowledge model for an expert system used
in network management.
Program of the course
Module 1 Phases of creation of computerized systems.
Topic 1. General information on projecting of management systems.
Topic 2. Content of the project documentation
Topic 3. Formulation of estimation at projecting of complex computerized systems..
Module 2. Implementation, exploitation and accompaniment of management systems.
Topic 4. Implementation, exploitation and accompaniment of management systems.
Topic 5. Computerizing of project works.
Topic 6. Management project on creation of computerized systems.
Training methods
Training of students is conducted trough lectures, at which a student may find out basic moments on
organization and fulfillment of works, connected with projecting of management systems,and also
with fundamental project documents. Availability of teaching is provided with multimedia
equipment. Knowledge on projecting methods, skills in formulating of fundamental project
documents, and fulfillment of project works are conducted at laboratory works. Knowledge and
skills in formulating of project documents is provided during fulfillment of project work.
Control methods
Control is conducted trough concentration of attention of students on formulating of control
questions and topic of a lecture.
The same is done during laboratory works.
Also the control is provided in accordance with explaining note, quality of fulfillment of
illustrative material and skills to explain project decisions.
Discipline Description: Computer-aided systems management analysis. Methodological
basis of the decision-making theory. The decision-making methods in network management.
Decision-making under uncertainty. Network management using artificial intelligence.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory experiments by means of shotgun quizzes. The final assessment is held by means of the
course project and during an examination.
Supportive Materials
1. Multimedia equipment.
3. Slides. Presentation of “The Decision-Making Theory at Complex Computer Systems
Management” discipline.
Recommended Literature
1. Проектирование и расчет структурированных кабельных систем и их компонентов(
Projecting and evaluation of structured cable systems and their components), Семенов А.Б., изд.
Компания АйТи, 2003г.
2. Проектирование и техническая эксплуатация систем передачи(Projecting and
technical exploitation of transmission systems), Берганов И.Р., Гордиенко В.Н., Крухмалев В.В.,
изд. Москва, «Радио и связь», 1989г.
3. Проектирование сетей связи (Projecting of connection networks). Справочник,
Р.Бесслер, А. Дойч, изд. Москва, «Радио и связь, 1988г.
DISCIPLINE ANNOTATION
Technologies of elaboration of corporative systems
Lecturer: senior lecturer of the department of theoretical and applied system technique, candidate
of technical sciences,senior lecturer Y.E. Duravkin
1. Aim and Tasks of the Discipline
Aim Creation of knowledge, ambitions and skills, which permit to rule the projects
effectively in different branches of economy; provide the achievement of the results, which are
determined in the project by structure and volume of work, time, number of members.
Task Introduction to problems of project management; study of methodology of elaboration
and project management; study of abilities of project management methodology and its use in
different banches of economy; study of informational technologies of project management using
modern software.
Following the completion of the course students must
:
know
- stages of life cycle
- UML language of modelling- methodology of valuation of time and labour intensity of
fulfillment
- methods of valuation of risks during elaboration
Be able to:
-perform the specification
- project the elaboration according to the life cycle.
- perform the evaluation of technical and economical indices during the elaboration
Subject Course
Module 1. General problems of the process of elaboration of corporative informational
systems
Topic 1. Informational technologies: condition, role in business and tendencies of
development.
Topic 2. problems of integration of information systems of the enterprise.
Topic 3. Method of construction of distributed systems
Module 2. Технології Technologies of Microsoft
Topic 4. Platform Microsoft .Net. Architecture, examination of possibilities
Topic5. Methods of Web-applications elaboration on the basis of the technology ASP.NET.
Recommended literature
Basic
1. Вендров А.М. Проектирование программного обеспечения экономических информационных
систем ( Software Projecting of Informational Systems) М: «Финансы и статистика», 2000
2. Проектирование информационных систем
(Projecting of Informational
Systems) М:
«КомпьютерПресс», №9, 2001 Колтунова Е.
3. Буч Г., Рамбо Д., Джекобсон А. Язык UML. Руководство пользователя:(UML Language. User`s
Guide) Пер. с англ.
М.: ДМК, 2000
4. Смирнова Г.Н., Сорокин А.А., Тельнов Ю.Ф. Проектирование экономических информационных
систем (Projecting of economic informational systems) М.: Финансы и статистика, 2002
5. Кондратьев В.В., Краснова В.Б. Модульная программа для менеджеров. Реструктуризация
управления компанией (Modular program for managers. Restructing of company management) М.:
Инфра-М, 2000
DISCIPLINE ANNOTATION
Management of Elaboration of Program Projects
Lecturer: senior lecturer of the department of theoretical and applied system technique, candidate
of technical sciences,senior lecturer Y.E. Duravkin
Course description
Course Description
Name of Indices
Branch of knowledge; training;
educational level
Full-time
course
Credits – 4
Branch of knowledge
050201 «Automatics and
management»
(code and name)
Training
6.050201 «System
engineering»
(code and name)
Normative(by election)
Year of training:
5-th
5-th
Modules – 3
Individual Research Work
___________
Correspondenc
e course
Speciality (profession):
8.091401 «Systems of
management and automatics»
(name)
Total number of hours 144
Semester
9-th
9-th
Lectures
Week hours for full-time
course:
lectures – 4
individual work -4
Educational level
Master
36 h.
Practical, seminars
36 h
Laboratory
h
h.
Individual work
72 h
ІНДЗ: год.
Control: examination
Aim and Tasks of the Discipline
Aim Creation of knowledge, ambitions and skills, which permit to rule the projects effectively
in different branches of economy;, provide the achievement of the results, which are determined in
the project by structure and volume of work, time, number of members.
Tasks Introduction to problems of project management; study of methodology of elaboration
and project management; study of abilities of project management methodology and its use in
different banches of economy; study of informational technologies of project management using
modern software.
Following the completion of the course students must
know:
- stages of life cycle
- UML language of modelling
- methodology of valuation of time and labour intensity of fulfillment
- methods of valuation of risks during elaboration
Be able to:
-perform the specification
- project the elaboration according to the life cycle.
- perform the evaluation of technical and economical indices during the elaboration
Recommended literature
Basic
1. Вендров А.М. Проектирование программного обеспечения экономических информационных
систем ( Software Projecting of Informational Systems) М: «Финансы и статистика», 2000
2. Проектирование информационных систем . (Projecting of Informational Systems) М:
«КомпьютерПресс», №9, 2001 Колтунова Е.
3. Буч Г., Рамбо Д., Джекобсон А. Язык UML. Руководство пользователя: :(UML Language. User`s
Guide)Пер. с англ.
М.: ДМК, 2000
4. Смирнова Г.Н., Сорокин А.А., Тельнов Ю.Ф. Проектирование экономических информационных
систем (Projecting of economic informational systems) М.: Финансы и статистика, 2002
5. Кондратьев В.В., Краснова В.Б. Модульная программа для менеджеров. Реструктуризация
управления компанией (Modular program for managers. Restructing of company management) М.:
Инфра-М, 2000
6. Калянов Г.Н. Структурный системный аналіз (Structural system analysis) М.: Лори, 1997
7. Марка Д.А., МакГоуэн К. SADT — методология структурного анализа и проектирования (
Methodology of structural analysis and projecting)М.: Метатехнология, 1993
8. Буч Г. Объектно-ориентированное проектирование с примерами применения (Object oriented
projecting with examples of use) М.: Конкорд, 1992
Supportive Materials
1. Грекул В.И., Денищенко Г.Н., Коровкина Н.Л. Проектирование информационных
систем ( Projecting of informational systems) Интернет-университет информационных
технологий - ИНТУИТ.ру, 2008
2. Данилин А., Слюсаренко А. Архитектура и стратегия. "Инь" и "янь" информационных
технологий
(Architecture and Strategy) Интернет-университет информационных
технологий - ИНТУИТ.ру, 2005
Informational Sources
http://www.intuit.ru
DISCIPLINE ANNOTATION
Methodology and organization of research work
Lecturer: senior lecturer of the department of theoretical and applied system technique, candidate
of technical sciences S. I Shmatkov.,
Course Description
Course Description
Name of Indices
Branch of knowledge; training;
educational level
Full-time
course
Credits – 1.5
Branch of knowledge
_______________
(code and name)
Training
6.050201 «System
engineering»
(code and name)
(name)
Normative(by election)
Year of training:
5-th
-th
Modules – 2
Individual Research Work
___________
Correspondenc
e course
Speciality (profession):
8.091401 «Systems of
management and automatics»
(code and name)
Total number of hours - 54
Semester
9-th
-th
Lectures
Week hours for full-time
course:
lectures – 36
individual work18
Educational level
Master
18 h.
h.
Practical, seminars
18 h.
h.
Laboratory
h.
h
Individual work
18 h.
h.
ІНДЗ: h
Control: examination, test
Aim of Discipline:
To provide the students with knowledge of the problems of the theory of scientific
knowledge; typology of the methods of scientific research; organization of getting new knowledge.
Task of Discipline:
Following the completion of the course students must
know:
– essence of the scientific knowledge and scientific research;
– – notion of aim, function and structural elements of science;
– – notion of methodology, method and technique of scientific research;
– – classification of the methods of scientific
– – basis of theoretical and experimental scientific
Be able to:
– formulate the object and subject of scientific
– – determine the aim and task of scientific
– – choose the method and elaborate the technique of research that is carried out;
–organize your research work and research of the group of experts.
Course Description
Module1.
Topic 1. basis of methodology of research work
Topic 2. Methods of research .
Methods of study
The main material of the lectures is given at the lectures. The attention is payed to the
explanation of physical meaning of the processes under study. The objectivity of the teaching is
provided by the use of multimedia equipment.
Methods of Control
The control of students` work is realized at practical lessons and laboratory lessons by
means of tests. Final test is done at the examination test.
Recommended literature
Basic
1.
Новиков А.М., Новиков Д.А. Методология научного исследования – (Methodology of
scientific research)10г80с.
2.
Методология и организация научных исследований (Methodology and organization of
scientific research) : метод. указания по изучению учебной дисциплины для студентов
направления «Менеджмент»
Катаев, Андрей Владимирович
8-гру-2010. Основы научных исследований (Basis of
scientific research) Сабитов Р.А., учебное пособие, 2002 г.
Министерство образования Российской Федерации
Челябинский государственный университет Челябинск 2002 г.
Supportive Materials
1
Арчибальд Р.С. Управление высокотехнологичными программами и
проектами(Management of high-tech programs and projects). – М.: ДМК Пресс, 2002.
2
Взятышев В.Ф. Введение в методологию инновационной проектной
деятельности(Introduction to the methodology of innovativeproject work): Учебник для
вузов. – М.: «ЕЦК», 2002.
3
Декарт Р. Рассуждение о методе, чтобы верно направлять свой разум и отыскать истину
в науках.Метафизические размышления. Начала философии(.Reasoning about the method
to direct your mind and find the truth in the sciences. Metaphysical reflaction) – М.: Вежа,
1998.
4
Дзегеленок И.И. Открытые задачи поискового проектирования(Opening of the task of
search projecting): Учебное пособие. – М.: Изд-во МЭИ, 1991.
5
Краевский В.В. Методология научного исследования(Methodology of scientific research):
Пособие для студентов и аспирантов гуманитарных ун-тов. – СПб.: СПб. ГУП, 2001.
6
Масюкова Н.А. Проектирование в образовании (Projecting in education. – Минск:
Технопринт, 1999.
7
Методология: вчера, сегодня, завтра (Methodology yesterday, today, tomorrow,). В 3-х тт.
ред.-сост. Крылов Г.Г., Хромченко М.С. – М.: Изд-во Школы Культурной Политики,
2005.
8
9
10
Рузавин Г.И. Методология научного исследования(Methodology of scientific research):
Учеб. Пособие для вузов. – М.: ЮНИТИ-ДАНА, 1999.
Фатрелл Р., Шафер Д., Шафер Л. Управление программными проектами. Достижение
оптимального качества при минимуме затрат.(Software projects management. Achieving of
optimal quality with minimum costs) – М.: Издательство: Вильямс, 2003.
Юдин Э.Г. Системный подход и принцип деятельности.(Systemic approach and principle
of activity) Москва, 1978.
DISCIPLINE ANNOTATION
Modeling of Distributed Control Systems
Lecturer: Dmytro Oleksiyovych Bulavin, PhD (Engineering), Associate Professor of
Theoretic and Applied Systems Engineering Department.
Description of the subject
Goal and tasks of the subject
Course aim:
Give students the fundamentals of the methods of making a decision while managing
complicated computerized systems, the methods of the decisions quality assessment, that are being
made, and forecasting the situations development.
Teach the basic methods of decision making in the condition of uncertainty, choosing the
alternatives in an uncertain environment.
Discipline Objective:
Following the completion of the course students must:
Know:
The characteristics of a computer network system management. Performance indicators of a
network and influence of the system management on those indicators. The methodical basics of
decision making while system management. The preparation processes characteristics and decision
making. The conceptual model of making a decision at network managing. The decision making
technique while managing a network. The situation assessment method. Situation planning and
situation management. The advantages evaluation methods and the decision making consequences
while network managing. The quality of decisions evaluation that are being made. Making
decisions in the conditions of uncertainty. The methods of choosing alternatives in an uncertain
environment. The main dependences of the benefit theory. The artificial intellect usage while
system management. The methods of process modeling and decision making while network
management.
Be able to:
Evaluate the effectiveness of the network and its system management. Define such network
features as operability, capability, optimality. Take into consideration the random nature of the
situations, uncertainty of the information. Give the characteristics of the conceptual model of
decision making and some of its stages. Define the connectivity of the network elements while
making a decision when working with a network, evaluate advantages while making a decision and
consequences of its realization. Make the frame model of knowledge of the expert system that is
being used while system management.
The subject syllabus
Module 1. The methods of decision making while managing a computer system.
Topic 1. The analysis of management systems of complicated computerized systems.
Topic 2. The methodical bases of a decision making theory.
Topic 3. The methods of decision making while managing a computer system.
Module 2. Making a decision in the conditions of uncertainty.
Topic 4. Making a decision in the conditions of uncertainty.
Topic 5. Managing the computer system, using the artificial intellect.
Methods of teaching
The main material of subject is given during lectures. The huge attention at lectures is paid
to the explanation of the physical sense of the studied processes. Multimedia devices are used
during lectures.
The tasks that help deepening the knowledge, received at lectures, are solved at the
workshops and laboratory experiments.
Assessment Forms
The assessment of the students’ work while studying the subject is made at workshops and
laboratory experiments by short tests. The final assessment is made by having a final test and at the
exam.
Methodical supplies
1.
Multimedia devices
2.
Slides. The subject presentation “The theory of decision making while managing the
complex computer systems”
Recommended Literature
1. Я.С. Дымарский, Н.Д. Крутикова. Управление сетями связи: принципы, протоколы,
прикладные задачи (Communication Networks Management: Principles, Protocols,
Applied Tasks). – «Связь и бизнес», 2003 г. – 384 с.
2.
А.Н. Борисов, А.В. Алексеев. Обработка нечеткой информации в системах
принятия решения (Fuzzy Information Engineering in Decision-Making Systems).– «Радио и
связь», 1986 г.
3.
С.А.Орлрвский. Проблемы принятия решений при нечеткой исходной
информации (Problem Solving and Decision-Making Dealing with Blurry Background
Information). – «Наука», 1983 г.
4.
Э.В.Попов. Искусственный интеллект (Artificial Intelligence).– Справочник.
«Радио и связь», 1990 г.
5.
П.К.Фимберн. Теория полезности для принятия решений (The Theory of Utility
for the Decision-Making Process). – «Наука», 1978 г.
DISCIPLINE ANNOTATION
The Decision-Making Theory at Complex Computer Systems Management
Lecturer: Iuriy Ivanovych Losev, Full Professor, D.Sc. in Engineering.
Discipline Aims: To give the students the basic knowledge on decision-making methods
while managing complex computer systems, methods for quality evaluation of the decisions made
and development forecasting. Teach the basic decision-making techniques under uncertainty, choice
of optimal alternatives in a fuzzy environment.
Discipline Objective:
Following the completion of the course a student must:
know:
Characteristics of the computer management system. Network performance criteria and the
impact of the network management system on them. Methodological basis of the decision-making
process in network management. Characteristics of the preparation and decision-making processes.
The conceptual model of decision-making in network management. The decision-making methods
in network management. The situation assessment method. Situation planning and management.
Merits and consequences evaluation techniques of the decision-making process in network
management. Quality evaluation of the decisions made. Decision-making under uncertainty. Choice
of optimal alternatives in a fuzzy environment. The basic functional connections in the theory of
utility. Using artificial intelligence in network management. Simulation techniques for the
preparation and decision-making processes in network management.
be able to:
Evaluate network performance and management system. Specify such network features as
efficiency, capability and optimality. Consider the criterion for randomness, ambiguity of
information at the decision-making process. Define the conceptual model of decision-making and
its separate stages. Identify network elements connectivity at the decision-making process on
network management, evaluate the merits of decision-making process and the decisionimplementation consequences. Develop a frame-based knowledge model for an expert system used
in network management.
Discipline Description: Computer-aided systems management analysis. Methodological
basis of the decision-making theory. The decision-making methods in network management.
Decision-making under uncertainty. Network management using artificial intelligence.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of shotgun quizzes. The final assessment is held by means of the course
project and examination papers.
The subject syllabus
Module 1. The methods of decision making while managing a computer system.
Topic 1. The analysis of management systems of complicated computerized systems.
Topic 2. The methodical bases of the decision making theory.
Topic 3. The methods of decision making while managing a computer system.
Module 2. Making a decision in the conditions of uncertainty.
Topic 4. Making a decision in the conditions of uncertainty.
Topic 5. Managing the computer system, using the artificial intellect.
Methods of teaching
The main material of the subject is given during lectures. The huge attention during lectures
is paid to the explanation of the physical sense of the studied processes. Multimedia devices are
used during lectures.
The tasks that help deepening the knowledge, received at lectures, are solved at the
workshops and laboratory experiments.
1.
2.
3.
4.
5.
Recommended Literature
Я.С. Дымарский, Н.Д. Крутикова. Управление сетями связи: принципы, протоколы,
прикладные задачи (Communication Networks Management: Principles, Protocols, Applied
Tasks). – «Связь и бизнес», 2003 г. – 384 с.
А.Н. Борисов, А.В. Алексеев. Обработка нечеткой информации в системах принятия
решения (Fuzzy Information Engineering in Decision-Making Systems). – «Радио и связь»,
1986 г.
С.А.Орлрвский. Проблемы принятия решений при нечеткой исходной информации
(Problem Solving and Decision-Making Dealing with Blurry Background Information). –
«Наука», 1983 г.
Э.В.Попов. Искусственный интеллект (Artificial Intelligence). – Справочник. «Радио и
связь», 1990 г.
П.К.Фимберн. Теория полезности для принятия решений (The Theory of Utility for the
Decision-Making Process). – «Наука», 1978 г.
DISCIPLINE ANNOTATION
Systems of Adaptation and Routing in Networks
Lecturer: E.V.Duravkin, PhD (Engineering), Associate Professor of Theoretic and Applied
Systems Engineering Department.
Goal and tasks of the subject
Course aim:
Give students the fundamentals of methods in decision making while managing complex
computer systems, the methods of evaluation of the decision quality, that are being made, and
forecasting the development of situations. Teach the basic methods of decision making in
conditions of uncertainty, choosing alternatives in an uncertain environment.
Discipline Objective:
Following the completion of the course students must:
Know:
The characteristics of a computer system management. The markers of network
effectiveness and influence the system management on those markers. Methodic bases of decision
making while network management. The characteristics of preparation processes and making a
decision. The conceptual model of making a decision on network management. The making a
decision methods while network management. The situation analysis methods.
Situation planning and situation management. The methods of advantages decision making
evaluation and consequences while managing the network. The evaluation of decision quality that is
being made. Making decisions in a condition of uncertainty. The methods of choosing the
alternatives in an uncertain environment. The main dependences of benefit theory. The artificial
intellect usage while network management. The methods of modeling preparation processes and
making a decision while managing the network.
Be able to:
Evaluate the network effectiveness and its system management. Define such network
qualities as operability, capability, optimality. Take into consideration the random nature of
situations, uncertainty of the information. Give the characteristics of the conceptual model of
decision making and some of its stages. Define the connectivity of the network elements while
making a decision when working with the network, evaluate the advantages while making a
decision and consequences of its realization. Make the frame model of knowledge of the expert
system that is being used while system management.
The subject syllabus
Module 1. The methods of decision making while managing a computer system.
Topic 1. The analysis of management systems of complicated computerized systems.
Topic 2. The methodical bases of the decision making theory.
Topic 3. The methods of decision making while managing a computer system.
Module 2. Making a decision in the conditions of uncertainty.
Topic 4. Making a decision in the conditions of uncertainty.
Topic 5. Managing the computer system, using the artificial intellect.
Methods of teaching
The main material of the subject is given during lectures. The huge attention during lectures
is paid to the explanation of the physical sense of the studied processes. Multimedia devices are
used during lectures.
The tasks that help deepening the knowledge, received at lectures, are solved at the
workshops and laboratory experiments.
Methodical supplies
1.
Multimedia devices
2.
Slides. The subject presentation “The theory of decision making while managing the
complex computer systems.
Recommended Literature
1. Я.С. Дымарский, Н.Д. Крутикова. Управление сетями связи: принципы,
протоколы, прикладные задачи (Communication Networks Management: Principles, Protocols,
Applied Tasks). – «Связь и бизнес», 2003 г. – 384 с.
2. А.Н. Борисов, А.В. Алексеев. Обработка нечеткой информации в системах
принятия решения (Fuzzy Information Engineering in Decision-Making Systems).– «Радио и
связь», 1986 г.
3. С.А.Орлрвский Проблемы принятия решений при нечеткой исходной информации
(Problem Solving and Decision-Making Dealing with Blurry Background Information). – «Наука»,
1983 г.
4. Э.В.Попов. Искусственный интеллект (Artificial Intelligence). – Справочник.
«Радио и связь», 1990 г.
5. П.К.Фимберн. Теория полезности для принятия решений (The Theory of Utility for
the Decision-Making Process). – «Наука», 1978 г.
DISCIPLINE ANNOTATION
Specialized Programming Languages
Lecturer : Kyrylo Markovych Rukkas, PhD in Engineering, Associate Professor.
Course Aim: To master skills of writing programs in specialized programming languages.
Objective: To acquire the fundamentals of programming in specialized programming
languages.
Following the completion of the course a student must:
know:
 Development principles of distributed client-server applications.
 Socket performance principles. Socket types and parameters. Network programs design using
sockets.
 Principles of parallel and serial servers design.
 Basic concepts of the .Net platform.
 Basic data types and constructs of the C # programming language.
 Main Java libraries. Application principles.
 Main Java libraries for network programs design.
 Servlets development principles.
be able to:
 Develop network programs with the use of socket apparatus.
 Develop application programs in the C # programming language.
 Develop network programs in the C # programming language.
 Develop application programs in the Java programming language.
 Develop network programs in the Java programming language.
Discipline Description: WINSOCK application programming interface. The C # programming
language. The Java programming language.
Assessment Forms: Student performance in the discipline is assessed during workshops and
laboratory works by means of test papers. The final assessment is held by means of examination
papers.
Supportive Materials
1. «Комп’ютерні мережі» (Computer Networks) study guide, electronic version.
2. Multimedia equipment and an electronic version of visual-aids.
3. Laboratory operations manual.
Recommended Literature
Basic
1. Таненбаум Э. Компьютерные сети (Computer Networks). – С-П.: Питер , 2001.
2.
Й. Снейдер. Эффективное программирование TCP/IP. (Efficient TCP/IP
Programming). С-П.: Питер, 2002.
3.
Л. Чепел, Э. Титтел. TCP/IP Учебный курс (TCP/IP. Training Course).//С-П:
BHV, 2003
4. Стивенс Р. Протоколы TCP/IP. Практическое руководство (TCP/IP Protocols.
Practical Guidance). С-П.: БХВ-Петербург, 2001.
5. Джонс Э., Оланд Дж. Программирование в сетях Windows (Programming in Windows
Networks).-Спб.: Питер; М.: Издательско-торговый «Русская редакция», 2002.-608 с.
6. Павловская Т.А. C#. Программирование на языке высокого уровня (C#. High-level
Language Programming). Питер, 2009. – 432 с.
7. Герберт Шилдт C# .Учебный курс (C#. Training Course). Питер, 2003.- 512 с
8. Ноутон П., Шилдт Г. Java 2. С-П.: БХВ-Петербург, 2001.- 895 с.
Supplementary
1. Лосев Ю.И., Бердников А.Г. Основы теории передачи информации (An Introduction
to the Theory of Communication). – Х.: ХВУ. 1993.
2. Будилов В. Интернет-программирование на Java (Internet-Programming in Java). СП.: БХВ-Петербург, 2002.
3. Хабибуллин И. Разработка Web-служб средствами Java (Web-services Development
by Means of Java). С-П.: БХВ-Петербург, 2003.
DISCIPLINE ANNOTATION
Modern and perspective network technologies
Lecturer : Kyrylo Markovych Rukkas, PhD in Engineering, Associate Professor.
Aim and Tasks of the Discipline
Aim: to give students fundamental knowledge about modern and perspective computer networks,
principles and protocols of functioning of local and global computer networks. To learn to use skills
and knowledge of functioning functioning of local and global computer networks.
Task: to learn fundamental directions of modern and perspective computer networks.
As a result, a student must know:
General information about networks on service integration, connection services and their
characteristics. Service ISDN, organization of network interaction in ISDN, access principles to
ISDN, Signalization, principles of package of language transmission in ISDN, Supportive materials
in language messages.
Be able to
To use networks OS Windows. To use network analysators, to conduct research of efficiency of
protocols of different levels.to work with protocols in file FTP, MPTP,POP-3, IMAP – 4. to work
with protocol HTTP. To conduct analysis and assessment of characteristics of typical structures of
modern and perspective computer networks.
Methods of teaching
Theoretical material is learned during lectures. Practical and laboratory lessons are appointed
for learning a material, used during lectures and practical skills.
Recommended literature
Basic
1. В. Олифер, Н. Олифер «Компьютерные сети»( Computer networks). – С-П: Питер,
2010.
2. Таненбаум Э. «Компьютерные сети» (Computer networks). – С-П:
Питер, 2001.
3. Бакланов И. Г. «NGN: принципы построения и организации»(Principles of creation and
organization).- Эко-трендз, 2008. -400 с.
4. Лихтциндер Б.Я., Кузякин М.А., Росляков А.В., Фомичев С.М. « Интеллектуальные
сети связи» (Intellectual networks of connection). - Эко-трендз, 2006. -216 с.
5. Гольдштейн Б.С., Ехриель И.М., Рерле Р.Д. « Интеллектуальные сети связи»
(Intellectual networks of connection).- М.: Радио и связь, 2005. - 502 с.: ил.
6. Советов Б.Я., Яковлев С.А. Построение сетей интегрального обслуживания. Л
Машиностроение, Ленинградское отделение 1990г. 332с
7 . Р.Р. Убайдуллаев Волоконно-оптические сети( Fiber-optic networks) - М.: Эко-Трендз,
2001
8. Р. Фриман. Волоконно- оптические системы связи(Fiber-optic systems of connection). – М.,
Техносфера. 2004 3. 9. Д. Гринфилд. Оптические сети. – К., ООО «ТИД ДС», 2002
Supplementary
9.С. Золотов. Протоколы INTERNET. Protocols INTERNET– С-П: BHV, 1998.
Л. Чепел, А. Чепел TСР/ІР. – С-П: BHV, 2003