GRS335 AI-Assisted Visual Design 1

3 ECTS - 2-1 Duration (T+A)- 5. Semester- 2.5 National Credit

Information

Unit FACULTY OF FINE ARTS
GRAPHIC PR.
Code GRS335
Name AI-Assisted Visual Design 1
Term 2025-2026 Academic Year
Semester 5. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2.5 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label VK Vocational Knowledge Courses E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi OYA AYGÜN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to enable graphic design students to understand generative artificial intelligence technologies, learn how to integrate these technologies into their creative processes, and develop the ability to produce AI-assisted visual content. Students will learn to create their own original visuals through a foundation of theoretical knowledge, ethical awareness, and design aesthetics.

Course Content

This course addresses the role of artificial intelligence in graphic design processes from both theoretical and practical perspectives. Topics include generative AI, diffusion models, and text-to-image production tools. Students will engage in creative production using core design elements such as composition, style, typography, and narrative. The course also aims to raise awareness of ethical, copyright, and user rights issues.

Course Precondition

None

Resources

Hettinger, N. (2025). Modern Graphic Design with AI. Barnes & Noble. Rombach, R., et al. (2021). High-Resolution Image Synthesis with Latent Diffusion Models. Nichol, A., et al. (2021). GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. Own, O. (2024). Generative AI: copyright, ethics, and the future of creativity. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. The MIT Press. Ramesh, A. et al. (2021). Zero-Shot Text-to-Image Generation (DALL·E). OpenAI. Ho, J. et al. (2020). Denoising Diffusion Probabilistic Models. NeurIPS.

Notes

Does not exist


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands the fundamental algorithms and operational principles of generative artificial intelligence.
LO02 Explains the role and historical development of artificial intelligence in the field of graphic design.
LO03 Identifies the impact of artificial intelligence on visual culture in terms of ethics, copyright, and user rights.
LO04 Analyzes the visual production processes of AI systems operating with diffusion models.
LO05 Produces creative and narrative images using text-to-image artificial intelligence platforms.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines and explains the basic elements and principles of art and design. 3
PLO02 Bilgi - Kuramsal, Olgusal Analyses national and international artistic and cultural elements that may affect graphic design applications.
PLO03 Bilgi - Kuramsal, Olgusal Defines and compares mass communication media, communication methods and communication elements. 5
PLO04 Bilgi - Kuramsal, Olgusal Defines and applies research, information retrieval and critical thinking methods. 3
PLO05 Beceriler - Bilişsel, Uygulamalı Applies the principles of colour, hierarchy, size and scale of art and design in the design process. 5
PLO06 Beceriler - Bilişsel, Uygulamalı Follows technological developments in visual communication and applies them in design processes. 5
PLO07 Beceriler - Bilişsel, Uygulamalı Uses different materials, paints and technological tools and equipment consciously in the design process.
PLO08 Beceriler - Bilişsel, Uygulamalı Integrates graphic design knowledge with the knowledge of different disciplines and applies it to the design process. 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes an active role in individual and group work and fulfils its responsibilities. 4
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Provides consistency in written and visual communication by using grammar correctly. 5
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Develops and applies a planned, meticulous and disciplined working approach in the design process.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Understands, interprets and critically evaluates the texts they read. 3
PLO13 Yetkinlikler - Öğrenme Yetkinliği Uses information and communication technologies effectively and consciously in learning and design processes. 5
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Creates effective and functional designs that reach the target audience. 4
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses oral, written and visual communication skills effectively. 4
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Establishes professional and effective communication with colleagues, employers and individuals to whom they provide services.
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses foreign language skills to follow the developments in the field and communicate at professional level.
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Develops design approaches sensitive to social, cultural, scientific and artistic values.
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Analyses the place and effects of graphic design profession in social life.
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Defends the ethical and legal values of the graphic design profession and adopts environmentally sensitive design approaches.
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Produces creative, original, economic and aesthetic solutions for visual communication problems. 5


Week Plan

Week Topic Preparation Methods
1 Artificial Intelligence and Creative Production Sample review, Research Öğretim Yöntemleri:
Anlatım
2 Artificial Intelligence and Design Thinking Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Örnek Olay, Tartışma
3 Artificial Intelligence and Visual Culture: Ethics, Copyright and Rights Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Örnek Olay, Tartışma
4 Artificial Intelligence Algorithms Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Diffusion Models and Their Working Principles Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Visual Styles and Modes of Expression Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Örnek Olay
7 Composition and Visual Representation Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Örnek Olay
8 Mid-Term Exam Preparation Presentation Drawings Ölçme Yöntemleri:
Proje / Tasarım
9 Prompt Writing Techniques (Text-to-Image Guidance) Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama
10 AI-Assisted Design Explorations 1 Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Beyin Fırtınası, Bireysel Çalışma
11 Narrative and Meaning Construction in Visual Storytelling Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Örnek Olay
12 AI-Assisted Design Explorations 2 Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Beyin Fırtınası, Bireysel Çalışma
13 Artificial Intelligence and Typography Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Örnek Olay
14 AI-Assisted Design Explorations 3 Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Beyin Fırtınası, Bireysel Çalışma
15 AI-Assisted Design Explorations 4 Sample review, Research Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Beyin Fırtınası, Bireysel Çalışma
16 Term Exams Preparation Presentation Drawings Ölçme Yöntemleri:
Proje / Tasarım
17 Term Exams Preparation Presentation Drawings Ölçme Yöntemleri:
Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 3 4 12
Assesment Related Works
Homeworks, Projects, Others 4 3 12
Mid-term Exams (Written, Oral, etc.) 1 1 1
Final Exam 1 1 1
Total Workload (Hour) 68
Total Workload / 25 (h) 2,72
ECTS 3 ECTS

Update Time: 08.05.2025 11:54