Advanced Computer Graphics

1.

Subject title

Advanced Computer Graphics

Напредна компјутерска графика

2.

Code

m23_w_005

3.

Study program

IT management, Bioinformatics, Security, Cryptography and Coding, Cloud Computing, Data science in computer science and engineering, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Software Engineering,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Бобан Јоксимоски проф. д-р Вангел Ајановски проф. д-р Сузана Лошковска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

This course is intended to provide a graduate-level introduction to modern computer graphics. We will cover some of the basic background of 3D computer graphics in the areas of geometry, physical simulation/animation, imaging and rendering. The course is intended to bring incoming graduate students or advanced undergraduates up to the research frontier, and prepare them for further work in the field.

11.

Subject content:

The course will include the following areas: Introduction to Basic Ray Tracing and BRDFs, Global Illumination and Monte Carlo Rendering, Recent Developments in Fast Offline Rendering, Image-Based and Real-Time Rendering, Data-Driven Method, Signal-processing and low-dimensional and data-sparse methods, Imaging and Computational Photography, Basic Geometric Concepts, Meshes and Subdivision Surfaces. Numerical Integration for Animation, Fluid Simulation and Reduced Order Models, Inverse Kinematics, Rigid Body Dynamics, Innovative techniques in 3D computer graphics

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 45 + 45 + 30 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

0 hours

16.

Other forms of activities

16.1.

Project tasks

45 hours

16.2.

Independent tasks

45 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

10 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature