Computer graphics and visualization
Course: Software Engineering
Structural unit: Faculty of information Technology
Title
Computer graphics and visualization
Code
ОК 16
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
Be able to document and present the results of software development; to know software architecture and design principles, to possess technologies and methodologies for software development and implementation and network technologies, to have practical skills in the administration of computer networks in the process of developing, deploying and supporting software, to understand and apply network exchange software, exchange with sensors, remote and distributed processing of information in the interests of the Internet of Things.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know the basic concepts and principles of the C++ or Python programming language.
2. To be able to create program code.
3. Have basic programming skills
Course content
1.Ashwin Pajankar. Raspberry Pi Supercomputing and Scientific Programming. – Nashik, Maharashtra, India, 2017. – 171 р.
2. Gropp, William. Using MPI : portable parallel programming with the Message-Passing Interface / William Gropp, Ewing Lusk, and Anthony Skjellum. Third edition. –Massachusetts Institute of Technology, 2018. – 330 с.
Recommended or required reading and other learning resources/tools
1.Ashwin Pajankar. Raspberry Pi Supercomputing and Scientific Programming. – Nashik, Maharashtra, India, 2017. – 171 р.
2. Gropp, William. Using MPI : portable parallel programming with the Message-Passing Interface / William Gropp, Ewing Lusk, and Anthony Skjellum. Third edition. –Massachusetts Institute of Technology, 2018. – 330 с.
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 by the results of modular control, protection and performance of laboratory work and individual tasks of independent work. Semester current 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 final assessment form is an exam. To obtain the current score (maximum 60), it is necessary to defend laboratory work (maximum – 30 points), independent work (maximum – 12 points), pass modular tests (maximum 18 points). Non-formal education is also taken into account (up to 20 points). The exam is evaluated according to the testing scale (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