Algorithmically generated graphics Field of study: Computer Science
Programme code: W4-S2INA19.2020

Module name: Algorithmically generated graphics
Module code: W4-INA-S2-20-F-GGA
Programme code: W4-S2INA19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
The content of the subject discusses computational solutions to design problems. "Generative art" has become a term for describing works of art expressed as code. The repertoire of algorithmically generated graphics can be defined as a set of simple rules. The algorithmic creation of the simplest forms is presented and new ways to approach them are considered. The following topics will be presented in this module: elements of calculations, vectors, points, objects, coordinate systems; controls, algorithms, transforms, randomness, artificial intelligence, fractals; design of two- and three-dimensional objects.
Prerequisites:
(no information given)
Key reading:
K. Terzidis, Algorithms for Visual Design Using the Processing Language, Wiley, 2009 J.R. Parker, S.L. Diamond, Generative Art: Algorithms as Artistic Tool, DURVILE, 2019, https://genart.ca/. J. Ko, K. Steinfeld, Geometric Computation: Foundations for Design, Routledge, 2018.
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]
The student can design algorithms for generating graphics. [M_001]
 K_W01 [2/5] K_W02 [3/5] K_U01 [2/5] K_U04 [1/5] K_K03 [1/5]
The student can implement algorithms for generating graphics. [M_002]
 K_W02 [3/5] K_W04 [2/5] K_U02 [1/5] K_K01 [1/5]
The student knows how to use algorithms for generating graphics. [M_003]
 K_W02 [3/5] K_U01 [2/5] K_K01 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Project report [W_001]
The students submit their projects (applications) within the deadline as verification of skills acquired in solving problems.
 M_001 M_002 M_003
Test [W_002]
test of theoretical issues
 M_003
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 [Z_001]
Lectures are carried out by using audiovisual means.
 15
Studying lecture topics basing on books and materials from the Internet.
 30 Test [W_002]
laboratory classes [Z_002]
Compulsory classes in the computer lab conducted according to the schedule.
 30
Solving practical tasks. Development and practical implementation of the project.
 45 Project report [W_001]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)