Information Package / Course Catalogue
Aı-Supported Digital Game Design
Course Code: GİT317
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 2
Credit: 2
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to provide students with the ability to construct digital game design processes and mechanics with the integration of artificial intelligence tools. This course aims to transform creative thinking into innovative projects by bringing together aesthetic values, visual communication, user experience, and game mechanics (PO3, PO11). At the same time, it aims for students to approach technological developments from an ethical perspective and for the produced outputs to turn into portfolio products that contribute to the innovative, digital ecosystem in the context of UN Sustainable Development Goals SDG 9 (Industry, Innovation and Infrastructure) and SDG 4 (Quality Education).

Course Content

Basic concepts of game design, artificial intelligence in the game development process; idea generation with LLMs and creating a Game Design Document (GDD); modeling visual concept, character, environment, and user interface (UI/UX) designs with generative AI; sound design with AI; introduction to game engines, coding and debugging with AI assistants; prototype development, playtesting, and AI ethics in the gaming industry.

Name of Lecturer(s)
Learning Outcomes
1.Describes digital game design processes and basic game mechanics in the context of artificial intelligence tools.
2.Creates a Game Design Document (GDD) by using artificial intelligence assistants (LLM, Midjourney, etc.) in conceptual design, story construction, and visual world building.
3.Designs and produces the user interface (UI), user experience (UX), sound, and environment assets of the game in aesthetic and functional integrity.
4.Uses artificial intelligence applications in the game development and prototyping process with a critical approach, in accordance with ethical principles and copyrights.
5.Constructs the game prototype designed with balanced gameplay and defends and presents it as a professional portfolio product.
Recommended or Required Reading
1.Jesse Schell - The Art of Game Design: A Book of Lenses
2.Scott Rogers - Level Up! The Guide to Great Video Game Design
3.Georgios N. Yannakakis & Julian Togelius - Artificial Intelligence and Games
4.Julian Togelius - Playing Smart: On Games, Intelligence, and Artificial Intelligence
5.Steve Swink - Game Feel: A Game Designer's Guide to Virtual Sensation
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to Game Design and the Role of AI: Basic concepts of game design, genres, and mechanics. The position of artificial intelligence in the game development pipeline.
Week 2 - Theoretical & Practice
Ideation and GDD: Brainstorming with LLMs, interactive narrative design, and creating a Game Design Document (GDD).
Week 3 - Theoretical & Practice
Concept Art and Visual World Building with AI: Determining the visual identity and atmosphere of the game with Generative Artificial Intelligence tools.
Week 4 - Theoretical & Practice
Character and Environment Design: Production of consistent sprite sheets and background assets for 2D/3D games with AI.
Week 5 - Theoretical & Practice
User Interface (UI) and User Experience (UX): Modeling in-game menus and HUD designs with generative AI.
Week 6 - Theoretical & Practice
Sound Design and Soundtrack with AI: Game-specific music composition and character voiceovers with tools like Suno, Udio, etc.
Week 7 - Theoretical & Practice
Introduction to Game Engines (Agnostic Approach): Transferring AI assets into game engines and scene arrangement.
Week 8 - Theoretical & Practice
Evaluation of students' Game Design Documents (GDD) and AI visual concept boards.
Week 9 - Theoretical & Practice
Coding and Mechanics with AI Assistants I: Creating a basic game loop, writing scripts by giving correct "prompts" to code assistants.
Week 10 - Theoretical & Practice
Coding and Mechanics with AI Assistants II: Script production for collision detection, scoring systems, and enemy (enemy AI) behaviors.
Week 11 - Theoretical & Practice
Debugging and Optimization: Analyzing and solving errors in the codes written by AI with the help of assistants.
Week 12 - Theoretical & Practice
Studio: Prototype Development (Act I): Construction of playable prototypes, testing of mechanical and visual compatibilities.
Week 13 - Theoretical & Practice
Studio: Playtesting and Balancing: In-class cross playtests, gathering feedback, and game difficulty/fun balance.
Week 14 - Theoretical & Practice
AI Ethics in the Gaming Industry and Publishing: Copyrights, labor transformation, independent development, and making the project ready to be exhibited.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Final Examination1%100
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Lecture - Practice141242
Individual Work52325
Final Examination128230
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
4
4
4
4
3
3
3
4
3
3
4
4
3
3
3
OÇ-2
4
4
5
5
3
4
4
5
5
5
5
5
4
4
4
OÇ-3
5
4
5
5
4
4
3
5
4
5
5
5
4
4
4
OÇ-4
4
4
4
5
5
5
5
4
5
4
4
4
4
4
4
OÇ-5
4
4
5
5
4
4
4
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026