INFORMATION SYSTEMS DESIGN - Syllabus

Details of the discipline

Program of educational discipline

Description of the educational discipline, its purpose, subject of study and learning outcomes

**Description of the discipline.**This course introduces students to modern views on scientific and methodological foundations and standards in the field of designing information systems. The course begins with an introduction to information systems (IS) and their defining role for the successful implementation of enterprises and organizations. Different types of IS, organizational requirements for their implementation and operation, development strategy, data and information management are considered; IS life cycle, knowledge needed by analysts, such as communication skills, ability to analyze facts; IS components, feasibility and cost-effectiveness analysis; data flow diagram as a means of system analysis and CASE means of IS design. Popular tools for creating IS are also considered.

**The subject of the academic discipline:**the main modern methodologies and methods of building information systems and their management, the main classes, types and categories of information systems, their functionality and areas of application, modern methodologies, methods, models and instrumental means of creating and using information systems of various types.

**Interdisciplinary connections.**DisciplineInformation systems designis based on the disciplines: Software Development Technologies, Systems Theory and System Analysis, Computer networks,Databases, Theory of algorithms.

**The purpose of the educational discipline.**The purpose of the discipline is to thoroughly acquaint students with the theoretical foundations of the organization, operation and design of information systems (IS), mastering practical skills in the use and creation of IS and their components for various purposes, providing theoretical knowledge and practical skills in the design and support of information systems for various subject areas.

The main tasks of the academic discipline

Knowledge:

• essence and purpose of information systems;

• design stages and requirements for the design process of information systems;

• standards for the design of information systems and design documentation;

• systematic approach to the design of information systems, topology and architecture of information systems;

• structural, object-oriented and typical design technology;

• data models and process models;

• UML standard, information systems interface;

• RAD methodology, CASE technology for creating and supporting information systems, RUP technology, ARIS technology, pattern technology.

Skills:

• identify and analyze IS requirements;

• specify and document IS requirements;

• design data models and process models;

• design process models;

• apply the UML standard;

• use visual programming methods;

• apply modern CASE technologies for creating and supporting IS.

Pre-requisites and post-requisites of the discipline (place in the structural and logical scheme of training according to the relevant educational program)

**Prerequisites:**the ability to apply knowledge in practical situations, the ability to use information and communication technologies, the ability to search, process and analyze information from various sources, the ability to apply knowledge about the basic principles and methods of constructing algorithms and determining the main technological parameters.

**Post-requisites:**to know the systemological basics of creating and using information systems; basics of classification, typification and clustering of information systems; basic types, classes and categories of information systems; types and main classes of information technologies and their characteristics; basic methodologies and research models of information systems at the conceptual level and the level of the subject area; the basics of architectural design of information systems and their CASE support system; basic methodologies and methods of managing information systems at the stages of their implementation and application; basics of information management.

After completing the discipline, students will be able to use knowledge of fundamental disciplines and mathematical apparatus to implement professionally profiled knowledge and practical skills when solving tasks of typification of information systems and information technologies; determine the main architectural parameters of information systems based on the construction and analysis of information models of the subject area; apply modern software tools for modeling organizational and technical systems; develop process analytical models of business systems and their information systems with the help of computer systems; explore the main structures and characteristics of process models.

Content of the academic discipline

Lecture classes

Section 1. IS design tools.

Chapter 2. Structural analysis and design of IS.

Laboratory classes

1. Programming of an automated control system in the language of sequential operations SFC

2. Programming of an automated control system with the addition of feedback

3. Creating a script for the automation object simulator

4. Application of the MODBUS protocol for communication between the virtual controller and the automation object

5. Development of a local human-machine interface

6. Object-oriented management program

7. Design of the regulator and programmer

8. WEB dispatching

9. Development of the operator's automated workplace in Trace Mode and its connection with the virtual controller

10. Interaction of the operator's automated workplace with external databases

Educational materials and resources

Basic literature

1. Ananiev O.M. Information systems and technologies in commercial activity: textbook / O.M. Ananiev, V.M. Bilyk, Ya.A. Honcharuk - Lviv: Novy Svit, 2006. - 583 p.

2. Hlivenko S.V. Information systems in management: training. manual / S.V. Hlivenko, E.V. Lapin, O.O. Pavlenko, S.S. Slabko, V.M. Swan. - Sumy: University Book, 2005. - 407 p.

3. Guzhva V. M. Information systems and technologies at enterprises: training. manual / V. M. Guzhva. - K.: KNEU, 2001. - 400 p.

4. Pasichnyk V.V., Lytvyn V.V., Shakhovska N.B. Information systems design. Study guide (authorized by the Ministry of Education and Culture of Ukraine) Lviv: 2013.– 380 p.

5. Tomashevskyi O.M. Information technologies and modeling of business processes: Study guide. / O.M. Tomashevskyi, M.B. Tsegelyk, G.H. Viter, V.I. Dubuk. K.: Center of educational literature, 2005. – 296 p.

6. Pavlenko P. N. Automated systems of technological preparation of extended productions. Methods of construction and management: monograph / P. N. Pavlenko. — K.: Knyzhnoe izd-vo NAU, 2005. — 280 p.

7. Methodical instructions for performing laboratory work in the discipline "Designing information systems" of the credit module "Peculiarities of designing information systems" for students of specialty 126 "Information systems and technologies" [Text] / Compiled by: V.A. Yalanetskyi - K.: NTUU "KPI named after Igor Sikorsky", 2020. - 79 p.

Supporting literature

1. Ushakova I. O. Fundamentals of system analysis of objects and processes of computerization: study guide. Part 2 / I. O. Ushakova. – Kh.: Ed. Khneu, 2008. – 324 p.

2. Gavrylenko V. V. DBMS: technology for solving functional problems in transport: training. manual [for students higher education closed.] / V. V. Havrylenko, E. H. Logachov, L. M. Strunevich. — K.: NTU, 2007. — 168 p.

Fabrychev V. A. Information systems and technologies of enterprise: training. manual / V. A. Fabrychev, V. M. Borovyk. — K.: NAU, 2008. — 100 p.

Kosarev O. Y. Information systems on transport: comp. lectures / O. Y. Kosarev, A. M. Merzhvinska. — K.: NAU, 2001. — 112 p.

Educational content

Methods of mastering an educational discipline (educational component)

Lecture classes

Laboratory classes

Independent work of a student/graduate student

Policy and control

Policy of academic discipline (educational component)

The system of requirements for the student:

• attending lectures and laboratory classes is a mandatory component of studying the material;

• the teacher uses his own presentation material at the lecture; uses Google Drive for teaching the material of the current lecture, additional resources, laboratory work, etc.; the teacher opens access to a certain Google Drive directory for downloading electronic laboratory reports and answers to the MKR;

• during lectures, it is forbidden to distract the teacher from teaching the material, all questions, clarifications, etc. students ask at the end of the lecture in the time allotted for this;

• laboratory works are defended in two stages - the first stage: students perform tasks for admission to the defense of laboratory work; the second stage is protection of laboratory work. Points for laboratory work are taken into account only if there is an electronic report;

• modular control work is written in lectures without the use of auxiliary devices (mobile phones, tablets, etc.); the result is forwarded in a file to the corresponding Google Drive directory;

• incentive points are awarded for: active participation in lectures; participation in faculty and institute olympiads in academic disciplines, participation in work competitions, preparation of reviews of scientific works; presentations on one of the topics of the SRS discipline, etc. The number of encouraged points is more than 10.

Types of control and rating system for evaluating learning outcomes (RSO)

The student's rating in the discipline consists of the points he receives for:

1. performance and protection of 10 laboratory works;

2. performance of 2 modular control works (MKR).

System of rating points and evaluation criteria

Laboratory works:

"perfectly", a complete answer to the questions during the defense (at least 90% of the required information) and a properly prepared protocol for laboratory work - 4 points;

"good", a sufficiently complete answer to the questions during the defense (at least 75% of the required information) and a properly prepared protocol for laboratory work - 3 points;

"satisfactory", incomplete answer to the questions during the defense (at least 60% of the required information), minor errors and a properly prepared protocol for laboratory work - 2 points;

"unsatisfactory", an unsatisfactory answer and/or an improperly prepared protocol for laboratory work - 0 points.

Modular control works:

"perfectly", complete answer (at least 90% of the required information) – 5 points;

"fine", a sufficiently complete answer (at least 75% of the required information), or a complete answer with minor errors - 4 points;

"satisfactorily", incomplete answer (but not less than 60% of the required information) and minor errors - 3 points;

"unsatisfactorily", unsatisfactory answer (incorrect problem solution), requires mandatory rewriting at the end of the semester - 0 points.

Incentive points

for active work at lectures1 point

Intersessional certification

According to the results of educational work for the first 7 weeks, the maximum possible number of points is 20 points. At the first certification (8th week), the student receives "credited" if his current rating is not less than 10 points.

According to the results of 13 weeks of training, the maximum possible number of points is 32 points. At the second certification (14th week), the student receives "credited" if his current rating is not less than 16 points.

Maximum amountweight points of control measures during the semester is:

R=10*rlab+2*rmkr=10*4+2*5=50.

Exam:

Admission to the exam is subject to passing all laboratory work, writing both modular test papers, and a starting rating of at least 17 points.

At the exam, students perform a written test. Each ticket contains two theoretical questions (tasks). The list of theoretical questions is given in Appendix 1. Each question (task) is estimated at 25 points.

Question evaluation system:

"excellent", a complete answer, at least 90% of the required information, which was completed in accordance with the requirements for the "skills" level (complete, error-free solution of the task) - 23-25 ​​points;

"good", a sufficiently complete answer, at least 75% of the required information, completed in accordance with the requirements for the "skill" level or there are minor inaccuracies (complete solution of the task with minor inaccuracies) - 20-22 points;

"satisfactory", incomplete answer, at least 60% of the required information, completed in accordance with the requirements for the "stereotypical" level and some errors (the task was completed with certain shortcomings) - 15-19 points;

"unsatisfactory", the answer does not meet the conditions for "satisfactory" - 0-4 points.

The sum of starting points and points for the examination control work is transferred to the examination grade according to the table:

Table 1. Conversion of rating points to grades on the university scale

Additional information on the discipline (educational component)

• the list of theoretical questions submitted for semester control is given in Appendix 1;

• at the beginning of the semester, the teacher analyzes the existing courses on the topic of the discipline and offers students to take the corresponding free courses. After the student receives a certificate of completion of remote or online courses on the relevant topic, the teacher closes the relevant part of the course (laboratory or lectures) by prior agreement with the group.

Working program of the academic discipline (Syllabus):

Folded Professor, Doctor of Technical Sciences, Bogdan Yaroslavovych Korniyenko

Approved Department of ICT (protocol No. 13 dated 15.06.2022)

Agreed Methodical commission of the faculty[1](protocol No. 11 dated 07.07.2022)

Appendix 1

List of theoretical questions for the exam

1. Requirements for IS design tools.

2. Classification of IS design tools.

3. CASE design tools.

4. Data modeling.

5. Data model design in Erwin.

6. Process modeling.

7. Designing a VRwin process model.

8. Purpose and development of a unified modeling language.

9. UML structure and notation.

10. Types of UML diagrams.

11. Use case diagram.

12. Purpose of RPTwin.

13. The RPTwin tooling environment.

14. Using RPTwin formulas.

15. Design of interfaces of information systems

16. Concepts, purposes and requirements for the user interface.

17. Standardization of interfaces.

18. User interface creation toolkit.

19. User interface development process.

20. RAD-methodology and CASE-technology of IS creation and support

21. Flexible IS development methodologies.

22. RAD-methodology of IS creation and maintenance.

23. SCRUM is an IS development management methodology.

24. CASE-technology of creation and maintenance of IS.

25. RUP technology. ARIS technology

26. Characteristics and principles of RUP technology.

27. Dynamic and static structure of RUP.

28. IBM Rational tools supporting RUP technology.

29. ARIS technology: concept, principles, components of architecture.

30. Pattern technology

31. Design model in a unified process.

32. Class diagram.

33. Concepts, language and patterns of pattern description.

34. Types of patterns.

35. IS reengineering

36. Prerequisites for the emergence and essence of the process-oriented approach.

37. Terminology of the process approach.

38. Stages of business process reengineering

[1] Methodical council of the university - for general university disciplines.