Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Computer Graphics | Computer Programming | Software Engineering
Area of study
Information and Communication Technologies
Education type
On campus
Course Language
English
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Computer Graphics Program

Description

The Computer Graphics course introduces students to the basics of computer graphics, including color, image, and camera. The course covers the raytracing technique, a fundamental method for simulating light, and rasterization, an alternative approach used for real-time applications. Students develop a raytracer that handles complex light effects, textures, and animations, and implement a simple rendering engine with techniques such as normal mapping and shadow maps. The course concludes with an introduction to physics-based simulation and integrating cloth simulation into the rendering.


Objectives

The course aims to introduce students to computer graphics, techniques for rendering, simulating, and animating virtual environments. The methods covered are essential for applications ranging from game and movie productions to scientific visualization and computer vision tasks.


Teaching Mode

The course is taught in presence.


Learning Methods

The course consists of a series of lectures interleaved with interactive classes, where assignments and theoretical exercises are discussed. The assignments involve practical tasks that implement computer graphics techniques presented during lectures.


Examination Information

The final grade is a result of the grades from the assignments and the final exam.


Bibliography

  • Akenine-MŲller, Tomas, Haines, Eric, Hoffman, Naty, Pesce, Angelo, Iwanicki, Michael, Hillaire, Sťbastien. Real-time Rendering. A K Peters/CRC Press, 2018.
  • Marschner, Steve, Shirley, Peter. Fundamentals of computer graphics. Fourth edition. Boca Raton: CRC Press, Taylor & Francis Group, 2016.

Education

  • Bachelor of Science in Informatics, Lecture, Elective, 3rd year
  • Master of Science in Artificial Intelligence, Lecture, Elective, 1st year

Additional Information

  • Semester: Fall
  • Academic year:
  • ECTS: 6.0
  • Language: English

People

  • Didyk P. K., Course director
  • Kergassner S., Assistant
  • Yurtsever M. A., Assistant
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