Discipline annotation “Systems Engineering”

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Course of Natural Science (Fundamental ) Training Subjects
Course of General Vocational and Practical Training
Selective Subjects
Optional Subjects
Courses of General Vocational and Practical Training
Prior Requirements
Following the completion of the course a student must
Assessment Forms
Discipline annotation
Methods of Teaching
Supportive Materials
Discipline annotation
Aim of the Course
Discipline annotation
Methods of Teaching
Discipline annotation
Prior requirements
Aim of the course
Methods of Teaching
Discipline annotation
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DISCIPLINE ANNOTATION

Systems Engineering”


Course of Humanitarian and Socio-Economic Subjects

Hours

Credits

ECTS

Division in Semesters

Credits

Exams

1

Philosophy

108

3




3

2

History of Ukrainian Literature

72

2




2

3

Foreign Language

216

6

1-3

4

4

History of Ukraine

108

3




1

5

Ukrainian language (according to the professional orientation)

108

3

3-4

5

Course of Natural Science (Fundamental ) Training Subjects

1

Higher Mathematics

513

14




1-4

2

Physics

405

11

1,3,4

2

3

Discrete Mathematics

162

5

1

2

4

Theory of Probability and Mathematical Statistics

162

5

3

4

5

Engineering and Computer Graphics

108

3

4




6

Numerical Analysis

135

4

6




7

Ecology

54

2

7




8

Electric and Magnetic Circuit Theory

162

5




4

9

Metrology and Measurement

108

3

5




Course of General Vocational and Practical Training

1

APLs and Programming

216

6

1

2

2

Object-Oriented Programming

189

5




3

3

System Programming and Operating Systems

216

6

5

6

4

Data Base and Knowledge Organization

162

6

6




5

Electronics and Microcircuitry

108

3




3

6

Computer Basics

108

3

2




7

Computer System Architecture

108

3

4




8

Economics and Organization of Production

108

3

4




9

Management

81

2

8




10

Introduction to Specialty

81

2




1

11

Information Theory (IT)

108

3

5




12

Graphic Data and Text Processing

54

2

2




13

Control Theory

108

3




5

14

Mathematical Methods of Data Research

144

4




7

15

Physical Education

378

11

2,6,7




16

Life Safety and Labor Safety

108

3

4




Selective Subjects

1

System Analysis

126

4




5

2

Microprocessors and Their Usage

135

4




5

3

Information Security

162

5

8




4

Computer Networks

108

3




6

5

AI Systems

162

5




8

6

Application Software Package

162

5

2,3




7

Optical Informatics

72

2

5




8

Specialized Programming Languages

144

4

7




Optional Subjects

1

Military Training

1044

4

7




Courses of General Vocational and Practical Training

1

Mathematical Simulation of Complex Networks

149

4




7

2

General Theories of Information Transfer

176

5




6

3

Parallel Systems and Calculus

108

3

8




4

Components of Complex Computer Network

254

7

6,7

8

5

Control of Complex Computer Network

243

7

7

8

6

Basis of Complex Computer Networks Exploitation

54

2

7






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.



  1. 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;
  1. Prior Requirements: disciplines “Discrete Mathematics”, “Mathematical Analysis”.
  2. 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.
  1. Methods of Teaching: lectures, workshops, independent work.

Elements of topical lectures, individual tasks for independent work.
  1. Assessment Forms: written control of individual tasks; written tests; written credit and written exam in the 2 and 3 semesters respectively.