Computer graphics and image processing
Course: Information Systems
Structural unit: Faculty of information Technology
Title
Computer graphics and image processing
Code
ВБ 3.1
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
3
Learning outcomes
To form knowledge of the theoretical foundations of computer graphics and multimedia information, to teach students to work with modern tools of computer graphics, multimedia information and to be able to present scientific information in graphic and multimedia form regarding means of outputting various types of graphic and multimedia information. Develop mathematical models and data analysis methods (including large ones). Develop algorithmic and software for data analysis (including large data). Carry out processing and transmission of graphic data in applied information systems of various purposes.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline "Computer graphics and image processing", knowledge and skills of the disciplines of the master's degree are required: "Information theory", "Data processing technology".
Course content
The course “Fundamentals of Business Analytics” is aimed at providing students with competencies and skills for the proficient use of theoretical foundations, methodology, and basic tools of business analysis. The course enables learners to explore, analyze, and optimize business ideas for the development of information and computer systems of various purposes, formulate functional and non-functional requirements for software development, taking into account available resources and the interests of all stakeholders. The goal of this course is to provide future professionals with a theoretical and practical basis of knowledge, methods, and tools necessary for successful identification of customer needs, formulation and justification of business decisions regarding software projects implementation, and managing software development projects.
Recommended or required reading and other learning resources/tools
2. Theodosios Pavlidis. Algorithms for Graphics and Image Processing. Computer Science Press, 1982. 415 p. (Алгоритми обробки графіки і зображень - Павлідіс Т. В. - Google Книги)
Planned learning activities and teaching methods
Lectures, laboratory activities, individual work
Assessment methods and criteria
The level of achievement of all planned learning outcomes is determined based on the results of the defense of laboratory work and individual work. The overall grade is formed (maximum of 100 points) as the sum of points for systematic work throughout the semester, taking into account the control work. The credit is given based on the results of the student's work throughout the semester. Students who have accumulated a total of fewer points than the recommended minimum of 48 points must work on the missed material and pass the credit to obtain it.
At the student's request and if they have credit points, they can improve their result by taking an additional credit test, which is evaluated at 20/12 points, but the total number of points cannot exceed 100 points. Thus, the final evaluation for the discipline (minimum of 60, maximum of 100 points) is determined by the sum of the points for the semester work.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
DEPARTMENT OF APPLIED INFORMATION SYSTEMS
Faculty of information Technology
Faculty of information Technology
Departments
The following departments are involved in teaching the above discipline
DEPARTMENT OF APPLIED INFORMATION SYSTEMS
Faculty of information Technology