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Distributed computer information and control systems

Kadyroldina Albina Talapzhanovna

Description: The discipline is devoted to the study of the structure and principles of operation of distributed information and control systems, methods of organizing data exchange between elements in a given structure, software and hardware tools used to build them. Methods for developing distributed information and control systems using CASE-tools are considered.

Amount of credits: 5

Пререквизиты:

Linear Systems of Automatic Control

Course Workload:

Types of classes	hours
Lectures	15
Practical works
Laboratory works	30
SAWTG (Student Autonomous Work under Teacher Guidance)	30
SAW (Student autonomous work)	75
Form of final control	Exam
Final assessment method	oral exam

Component: Component by selection

Cycle: Base disciplines

Goal

To form competencies in the field of design, creation and application of distributed computer information and control systems in complex technical and technological objects, the formation of knowledge and skills in the practical application of hardware and software necessary for professional activities.

Objective

studying models and methods for creating and using distributed computer information management systems;
mastering the principles and methods of designing information management systems;
acquiring practical skills in developing information models of systems using CASE tools for implementing information management systems.

Learning outcome: knowledge and understanding

name the basic concepts of the theory of information systems and networks, principles and functions of distributed information management systems;

Learning outcome: applying knowledge and understanding

select hardware for building distributed computer information management systems, taking into account the quality and stability of data transmission;
apply management models and methods taking into account the features of distributed information systems;

Learning outcome: formation of judgments

justify methods for increasing data reliability when designing distributed information and control systems;

Learning outcome: communicative abilities

demonstrate your own decisions with reasoned support;

Learning outcome: learning skills or learning abilities

demonstrate techniques for developing information models of systems using CASE tools for implementing information management systems.

Teaching methods

interactive lecture (use of the following active forms of learning: guided (controlled) discussion or conversation; moderation; demonstration of slides or educational films; motivational speech);

building scenarios for the development of various situations based in given conditions;

information and communication (for example, classes in a computer class using professional application software packages);

search and research (independent research activities in the learning process).

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

Period	Type of task	Total
1 rating	Laboratory work "Development of a mathematical model of a distributed computer information and control system."	0-100
1 rating	Boundary control 1	0-100
2 rating	Laboratory work "Development of information support for a distributed computer information and control system."	0-100
	Laboratory work "Development of models using CASE tools."
	Boundary control 2
Total control	Exam	0-100

The evaluating policy of learning outcomes by work type

Type of task	90-100	70-89	50-69	0-49
Type of task	Excellent	Good	Satisfactory	Unsatisfactory
Work in laboratory classes	Demonstrated excellent theoretical preparation. The necessary skills and abilities have been fully mastered. The result of the laboratory work fully corresponds to its goals.	Demonstrated good theoretical preparation. The necessary skills and abilities have been largely mastered. The result of the laboratory work generally corresponds to its objectives.	Demonstrated satisfactory theoretical preparation. The necessary skills and abilities have been partially mastered. The result of the laboratory work partially corresponds to its goals.	Demonstrated excellent theoretical preparation. The necessary skills and abilities have been fully mastered. The result of the laboratory work fully corresponds to its goals.
Interview on control questions	Complete, comprehensive answer. The student shows a deep understanding of the subject, is fluent in basic concepts, terms and definitions when answering; has mastered the basic literature and is familiar with additional literature on distributed computer information management systems.	The answer is standard. The student demonstrates a sufficient level of knowledge in the field of distributed computer information management systems, is oriented in basic concepts and definitions; mastered the basic literature. Makes minor errors or insignificant errors when answering the teacher’s questions.	The answer is incomplete. The student demonstrates a minimum amount of knowledge on distributed computer information and control systems; familiar with the basic literature; ignorance (confusion) of important terms; makes significant mistakes when answering the teacher’s questions, but can correct them under the guidance of the teacher.	Complete, comprehensive answer. The student shows a deep understanding of the subject, is fluent in basic concepts, terms and definitions when answering; has mastered the basic literature and is familiar with additional literature on distributed computer information management systems.

Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

40% of the examination result;
60% of current control result.

The final grade is calculated by the formula:

FG = 0,6	MT₁+MT₂	+0,4E
	2

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Alphabetical grade	Numerical value	Points (%)	Traditional grade
A	4.0	95-100	Excellent
A-	3.67	90-94	Excellent
B+	3.33	85-89	Good
B	3.0	80-84
B-	2.67	75-79
C+	2.33	70-74
C	2.0	65-69	Satisfactory
C-	1.67	60-64
D+	1.33	55-59
D	1.0	50-54
FX	0.5	25-49	Unsatisfactory
F	0	0-24	Unsatisfactory

Topics of lectures

Basic concepts and definitions of distributed computer information management systems
Structure of distributed computer information management systems
Supporting subsystems of distributed computer information management systems
Hardware for constructing distributed computer information management systems
Technological complex control system
Modeling of processes in distributed computer information and control systems
Software life cycle models
Design of distributed computer information and control systems

Key reading

Denisenko V.V. Komp'yuternoe upravlenie tekhnologicheskim processom, eksperimentom, oborudovaniem.-M.: Goryachaya liniya - Telekom, 2013.-606 c.
Cekhanovskij V.V., Chertovskoj V.D. Raspredelennye informacionnye sistemy. –Izdatel'stvo «Lan'», 2021. – 240 s.
Tokmakov G.P. CASE-tekhnologii proektirovaniya informacionnyh sistem: uchebnoe posobie / G. P. Tokmakov. – Ul'yanovsk: UlGTU, 2018. − 224 s.

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