Systems Analysis
Course: Computer science
Structural unit: Faculty of information Technology
Title
Systems Analysis
Code
ОК 26
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
4
Learning outcomes
PR1. Apply knowledge of the basic forms and laws of abstract-logical thinking, the methodology of scientific knowledge, forms and methods of information extraction, analysis, processing, and synthesis in the subject area of computer science.
PR8. Use the methodology of system analysis of objects, processes, and systems for tasks of analysis, forecasting, management, and design of dynamic processes in macroeconomic, technical, technological, and financial objects.
PR15. Apply knowledge of the methodology and CASE tools for designing complex systems, methods of structural analysis of systems, object-oriented design methodology in the development and research of functional models of organizational-economic and production-technical systems.
Form of study
Full-time form
Prerequisites and co-requisites
No
Course content
Systemic research is a field of scientific activity that is rapidly developing and is one of the most productive manifestations of integrative trends in science. The study of this course enables the application of methods for describing complex objects from a systemic perspective, formalizing a problem situation into a systemic task, applying systemic modeling methods for the analysis and synthesis of complex systems, and representing knowledge about the structure of a system using modern CASE tools. The discipline is aimed at developing students' ability to see things systemically and to present IT problems based on the use of basic concepts of systems theory, systemic analysis, and the systemic approach. It also aims to develop students' ability to analyze and functionally model business processes and work with modern instrumental tools for structural, functional, and informational description of systems.
Recommended or required reading and other learning resources/tools
1. Bekh V. P., Tulentkov M. V. Theory of systems and system analysis in management: textbook. - Kyiv: Interservice, 2021. - 679 p.
2. Theory of systems and system analysis: textbook / edited by Baltovsky O.A. - Odesa: RVV ODUVS, 2021. - 156 p.
3. Alan Dennis, Barbara Wixom, Roberta M. Roth Systems Analysis and Design, Wiley; 6th edition (November 17, 2020) - 544 p.
Planned learning activities and teaching methods
Lectures, laboratory activities, individual work
Assessment methods and criteria
Students are evaluated throughout the semester based on various types of assignments. The overall grade for the semester is determined by the weighted sum of the points earned by the student on different types of assignments. The maximum number of points a student can receive for an assignment in the semester does not exceed 60 points on a 100-point scale. The discipline concludes with an exam.
Throughout the semester, after completing relevant topics, three written tests (KT1, KT2) are conducted with multiple choice and open-ended questions, as well as practical tasks. All laboratory and independent work is mandatory. To receive a passing grade for the discipline, a student must achieve at least 60% of the maximum possible points.
The maximum number of points a student can receive on the exam is 40 points on a 100-point scale. If a student receives less than 24 points during the exam, they will receive a failing grade and the earned points will not be counted.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline