Non-photorealistic graphics Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name: Non-photorealistic graphics
Module code: 08-IN-GWK-S2-GN
Programme code: 08-S2INIA15.2019
Semester: winter semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 3
Description:
Aim of the class is to familiarize students with basics of non-photorealistic graphics. During the classes, the students will prepare projects in teams of maximum two and will present results of their work in the form of presentation in front of the group.
Prerequisites:
(no information given)
Key reading:
(no information given)
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Can work individually and in a team. [GN -K_7]
 K_U02 [1/5]
Can think and act creatively. [GN -K_8]
 K_K03 [1/5]
Can implement the learned algorithms in the chosen programming language. [GN -U_4]
 K_U12 [1/5]
Can acquire information about non-photorealistic graphics from literature, database and other sources. [GN -U_5]
 K_U01 [1/5]
Can prepare and present a paper about project task realization. [GN -U_6]
 K_U02 [1/5] K_U03 [1/5] K_U04 [1/5]
Knows and understands mathematical notions referring to non-photorealistic graphics. [GN-W_1]
 K_W01 [1/5]
Knows and understands basic algorithms used in non-photorealistic graphics. [GN -W_2]
 K_W02 [1/5]
Knows and understand basic principles for creating algorithms in non-photorealistic graphics. [GN -W_3]
 K_W02 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Project [GN _w_1]
Preparing a project and presentation about the chosen topic connected with non-photorealistic graphics.
 GN -K_7 GN -K_8 GN -U_4 GN -U_5 GN -U_6 GN-W_1 GN -W_2 GN -W_3
Reports [GN _w_2]
Algorithms implementation.
 GN -K_7 GN -K_8 GN -U_4 GN-W_1 GN -W_2 GN -W_3
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [GN _fs_1]
Presenting educational content with use of audio-visual aids.
 15
Individual preparation for the laboratory classes.
 5 Project [GN _w_1] Reports [GN _w_2]
laboratory classes [GN _fs_2]
Detailed students preparation to use of algorithms in non-photorealistic graphics. Algorithms implementation.
 30
Individual preparation for the laboratory classes. Familiarizing with project thematic and execution of the project individually or in a team of two. Preparing the presentation describing the project issue.
40 Project [GN _w_1] Reports [GN _w_2]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)