Procedural Content Generation Field of study: Computer Science
Programme code: W4-S2IN19.2021

Module name: Procedural Content Generation
Module code: W4-IN-S2-20-F-PGT
Programme code: W4-S2IN19.2021
Semester:
  • summer semester 2022/2023
  • winter semester 2022/2023
  • summer semester 2021/2022
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
Aim of classes is to introduce to the students the basics methods that are used in procedural content generation, e.g. levels, music, models etc. Besides the methods, the students will familiarize with the ways of procedural generators evaluation. During the course, the students will prepare projects in teams of maximum two and present results of their work in the form of presentation in front of the group.
Prerequisites:
(no information given)
Key reading:
* Ashlock, D.: Exploring Representation in Evolutionary Level Design. Morgan & Claypool (2018) * Buck, J.: Mazes for Programmers - Code Your Own Twisty Little Passages. The Pragmatic Programmers, Dallas (2015) * Ebert, D.S., Musgrave, F.K., Peachey, D., Perlin, K., Worley, S.: Texturing & Modeling - A Procedural Approach, 3rd Edition. Morgan Kaufmann, San Francisco (2003) * Green, D.: Procedural Content Generation for C++ Game Development. Packt Publishing, Birmingham (2016) * Shaker, N., Togelius, J., Nelson, M.J.: Procedural Content Generation in Games. Springer, Cham (2016) * Short, T.X., Adams, T.: Procedural Generation in Game Design. CRC Press, Boca Raton (2017) * Various research papers on procedural content generation
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]
Knows and understands the basic classes of procedural content generation methods, in particular: pseudorandom numbers generators, generative grammars, spatial algorithms, images filtering. [M_001]
 K_W02 [1/5] K_W04 [1/5]
Knows and understands the basic algorithms and data structures used in the procedural content generation, in particular: quadtree, BSP tree, graph search algorithms, Voronoi diagrams. [M_002]
 K_W04 [1/5]
Knows and understands mathematical notions used in the procedural content generation, in particular: partial derivative, graph, linear and non-linear functions of one and multiple variable, fractal. [M_003]
 K_W01 [1/5]
Can obtain information about procedural content generation methods from literature, databases and other sources. [M_004]
 K_U01 [1/5] K_U07 [1/5]
Can work individually and in a team. [M_005]
 K_U02 [1/5]
Can prepare and present a presentation on execution of project's task. [M_006]
 K_U03 [1/5] K_U04 [1/5]
Can think and act creatively. [M_007]
 K_K01 [1/5] K_K03 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Project [W_001]
Preparing the project and presentation of the chosen topic connected with procedural content generation.
 M_001 M_002 M_003 M_004 M_005 M_006 M_007
Reports [W_002]
Solving sets of tasks.
 M_001 M_002 M_003 M_005
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]
Presenting educational content using audiovisual methods.
 15
Independent study of lecture topics and given literature.
 15 Project [W_001]
laboratory classes [Z_002]
Detailed preparation of the students to: (1) the use of various content generation methods for instance in computer games, (2) the development of new methods. Solving programming tasks.
 30
Familiarizing with subject of the laboratory. Familiarizing with subject of the project and preparing it in a team. Preparing a presentation of the project.
 60 Project [W_001] Reports [W_002]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)