Discipline annotation “Systems Engineering”

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Содержание Course Description Aim of Discipline Methods of Control Discipline annotation Course aim Discipline Objective Assessment Forms Discipline annotation Discipline Objective Discipline Description Recommended Literature Discipline annotation Discipline Objective Discipline annotation Discipline annotation Methods of teaching

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Course Description

Name of Indices	Branch of knowledge; training; educational level	Course Description
		Full-time course	Correspondence course
Credits – 1.5	Branch of knowledge _______________ (code and name)	Normative(by election)
	Training 6.050201 «System engineering» (code and name)
Modules – 2	Speciality (profession): 8.091401 «Systems of management and automatics» (code and name)	Year of training:
		5-th	-th
Individual Research Work ___________ (name)		Semester
Total number of hours - 54		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. Рузавин Г.И. Методология научного исследования(Methodology of scientific research): Учеб. Пособие для вузов. – М.: ЮНИТИ-ДАНА, 1999.
   
9. 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.
   
10. 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 decision-implementation 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.

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

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). С-П.: 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