Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8İF007Artificial Intelligence in Design2+2+03516.10.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Radio, Television and Cinema
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To teach the use of artificial intelligence in design and game development processes; and to provide students with a foundation in both generative AI tools and game AI (such as movement control and decision-making algorithms).
Course Content Introduction to artificial intelligence; its applications in design; generation of visuals, text, and audio using generative AI; prompt engineering; AI in games; movement control and pathfinding; state machines and behavior trees; AI techniques for various game genres; procedural content generation; ethics, copyright, and originality.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers None
Assistants Research Assist. Barış Can ÇAMSARI
Work Placement(s) No

Recommended or Required Reading
Resources Millington, I. (2019). AI for Games. CRC Press.
Yannakakis, G. N., & Togelius, J. (2018). Artificial Intelligence and Games. Springer.
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.

Course Category
Engineering Design %100
Field %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 4 56
Hours for off-the-c.r.stud 14 6 84
Mid-terms 1 5 5
Final examination 1 10 10
Total Work Load   Number of ECTS Credits 5 155

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explain the basic concepts of artificial intelligence and its applications in design.
2 Use generative artificial intelligence tools in design processes.
3 Apply movement control and decision-making algorithms in games.
4 Select appropriate artificial intelligence techniques for different game genres.
5 Evaluate the use of artificial intelligence in terms of ethics, copyright, and originality.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Artificial Intelligence Preliminary readings and practical exercises on the topics Course Resources
2 Applications of Artificial Intelligence in Design Preliminary readings and practical exercises on the topics Course Resources
3 Generative AI: Image Generation Tools Preliminary readings and practical exercises on the topics Course Resources
4 Text and Audio Generation Tools Preliminary readings and practical exercises on the topics Course Resources
5 Prompt Design Preliminary readings and practical exercises on the topics Course Resources
6 Introduction to Game AI Preliminary readings and practical exercises on the topics Course Resources
7 Movement Control and Pathfinding Preliminary readings and practical exercises on the topics Course Resources
8 Midterm Exam Preparation for the Midterm Exam Course Resources
9 Decision-Making Algorithms: State Machines and Behavior Trees Preliminary readings and practical exercises on the topics Course Resources
10 AI in Different Game Genres Preliminary readings and practical exercises on the topics Course Resources
11 Procedural Content Generation with AI Preliminary readings and practical exercises on the topics Course Resources
12 Ethics, Copyright, and Originality Preliminary readings and practical exercises on the topics Course Resources
13 Project Implementation Preliminary readings and practical exercises on the topics Course Resources
14 Project Presentations Preliminary readings and practical exercises on the topics Course Resources
15 General Review and Evaluation Preparation for the Final Assignment Course Resources

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15
C1 5 3 3 1 5 2 1 2 2 2 2 1 1 2 1
C2 2 5 4 1 5 2 2 2 5 5 4 2 1 3 1
C3 2 3 3 1 4 2 1 1 4 2 3 1 1 2 1
C4 3 3 3 1 4 3 1 1 4 2 2 2 1 2 1
C5 3 2 2 5 4 3 5 4 3 3 3 2 1 1 2

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant