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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Vocational School of Information Technologies
  2. Department of Software, Application Development and Analysis
  3. Program in Game Development and Programming
  4. Course Structure Diagram with Credits
  5. Generative Coding and Algorithmic Design
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 26/06/2026

Code - Course Title Course Type Laboratory + Practice ECTS
OGP122 - Generative Coding and Algorithmic Design II. SEMESTER 1 +2 3.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) ÖĞR. GÖR. GÜVENÇ USANMAZ
Mode of Delivery This course is delivered through face-to-face instruction. Theoretical lectures and laboratory sessions are integrated throughout the semester. The default tool for practical work is p5.js; the instructor may prefer an equivalent environment (e.g., Processing, openFrameworks, TouchDesigner).
Place of Delivery
Used Educational Platforms
Prerequisites There are no prerequisites or co-requisites for this course.
Courses Recomended It is recommended to have completed OGP103 Programming I and XXX7968 Fundamentals of Digital Art and Design before taking this course. Taking it concurrently with OGP104 Programming II is also suitable. Basic programming logic and visual design knowledge will facilitate the learning process.
Recommended Resources p5.js. Official reference: https://p5js.org/reference/Shiffman, D. The Nature of Code: https://natureofcode.com/ (selected sections)
Work Placement This course has no internship or placement requirement.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to generative coding; algorithmic aesthetics, visual art with code; p5.js development environment.
Week - 2 Draw loop, coordinate system, color and form basics.
Week - 3 Generative geometry: form construction with points and lines, repetition and symmetry.
Week - 4 Grid-based designs; tile, pattern and parametric variation.
Week - 5 Randomness and noise: Perlin noise, fBm (fractal brownian motion).
Week - 6 Abstract map/texture generation with noise; game background and terrain concept.
Week - 7 Pixel and image processing: image loading, filters, color manipulation.
Week - 8 Pixel sorting, glitch art and error aesthetics.
Week - 9 Complex systems: cellular automata, Conway's Game of Life.
Week - 10 Introduction to shader programming: fragment shader, GLSL basics.
Week - 11 Mathematical visualization: functions, waves and fractal forms.
Week - 12 Generative architecture: rule-based (L-system, shape grammar) structure generation.
Week - 13 Daily coding practices (daily sketch); iteration and portfolio selection.
Week - 14 End-of-term generative portfolio presentation; process documentation and game context.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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