Modeling of information systems and business systems
Course: Software Engineering
Structural unit: Faculty of information Technology
Title
Modeling of information systems and business systems
Code
ВП 1.2.
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
7
Learning outcomes
Know and be able to use methods and tools for gathering, formulating and analyzing software requirements. Conduct a pre-project survey of the subject area, system analysis of the design object. Select input data for design, guided by formal requirements description and modeling methods. Use modern methods and approaches to modeling information systems and business processes that occur in business systems based on the use of UML and related information technologies.
Form of study
Full-time form
Prerequisites and co-requisites
The discipline is based on the knowledge, skills and practical skills acquired by students while studying the disciplines "Analysis of software requirements", "Computer simulation of processes".
Course content
This course examines modern methods and approaches for modeling information systems and business systems (processes). To do this, the following are studied: conceptual approaches to modeling in the development process, tools for visual modeling and specification, modeling of use (problem analysis, semantics and notation of use models), modeling of structures, modeling of behavior, design patterns.
Recommended or required reading and other learning resources/tools
Dennis, Alan. Systems analysis & design: an object-oriented approach with UML/Alan Dennis, Indiana University, Barbara Haley Wixom, Massachusetts Institute of Technology, David Tegarden, Virginia Tech; with contributions by Elaine Seeman, East Carolina University.–Fifth edition, 2015. ISBN 978-1-118-80467-4
I.M. Dudzyany Object-oriented modeling of software systems: Tutorial. – Lviv: Ivan Franko LNU Publishing Center, 2007. - 108 p.
Van der Aalst, W. (2016). Data Science in Action. In: Process Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49851-4_1
Planned learning activities and teaching methods
Lectures, practical activities, individual work
Assessment methods and criteria
The level of achievement of all planned learning outcomes is determined by the results of the defense of practical work and individual tasks of independent work. Semester assessment of students is carried out during the semester for all types of work. The total score is formed as a weighted sum of points earned by the student for various types of work.
The maximum number of points that a student can receive for work in a semester does not exceed 100 points. The form of the final evaluation is the test. The assessment is carried out by issuing a final grade, which is defined as the sum of points for all successfully assessed learning outcomes. To receive credit, it is mandatory to complete all practical work (minimum grade - 36 points, maximum - 60 points) and test - (minimum grade - 24 points, maximum - 40 points).
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Faculty of information Technology
Departments
The following departments are involved in teaching the above discipline
Faculty of information Technology