Information Package / Course Catalogue
Artificial Intelligence and Design
Course Code: BMY114
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

This course is designed to teach students the fundamental concepts of artificial intelligence technologies and to explain how these technologies can be utilized in graphic and page design processes. It also aims to enable them to understand the ethical, social, and economic dimensions of artificial intelligence.

Course Content

This course covers the fundamentals of artificial intelligence and graphic design; AI applications in graphic and page design and their use in design processes; user experiences and AI design applications; AI ethics and security issues; and future AI trends and design directions.

Name of Lecturer(s)
Learning Outcomes
1.Ability to effectively use relevant computer software and information and communication technologies for design.
2.Ability to present designs using computers or similar technological devices.
3.Ability to improve all processes of a design.
4.Ability to execute graphic design products in two and three dimensions.
5.Ability to interpret graphic and page design through artificial intelligence applications.
Recommended or Required Reading
1.RUSSEL, S., & NORVING, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
2.TOSUN, B. (2021). Digital Transformation and Design. Beta Publications.
Weekly Detailed Course Contents
Week 1 - Preparation Work
Introduction and Basic Concepts
Week 2 - Theoretical
Types of Artificial Intelligence
Week 3 - Theoretical
Machine Learning and Deep Learning
Week 4 - Theoretical
Data and Data Analytics
Week 5 - Theoretical
The Design Process and Artificial Intelligence
Week 6 - Theoretical
User Experience and Artificial Intelligence
Week 7 - Theoretical
User Experience and Artificial Intelligence
Week 8 - Theoretical
Visual Design and Artificial Intelligence (Midterm)
Week 9 - Theoretical
Visual Design and Artificial Intelligence
Week 10 - Theoretical
Artificial Intelligence and Ethics
Week 11 - Theoretical
Artificial Intelligence and Ethics
Week 12 - Theoretical
Future Design Trends
Week 13 - Theoretical
Case assessment
Week 14 - Final Exam
End-of-term exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Practice1%5
Midterm Examination1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment2012
Midterm Examination1516
Final Examination1516
TOTAL WORKLOAD (hours)56
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
PÇ-16
PÇ-17
PÇ-18
PÇ-19
PÇ-20
PÇ-21
OÇ-1
5
OÇ-2
4
OÇ-3
5
OÇ-4
5
OÇ-5
5
Adnan Menderes University - Information Package / Course Catalogue
2026