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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| FASHION AND TEXTILE DESIGN (MASTER) (WITH THESIS) | |
| Code | TMTS702 |
| Name | AI-Supported Trend Research and Analysis in Fashion and Textile Design |
| Term | 2026-2027 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. HANDE BİLVAR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to equip students with the ability to interpret trends, conduct trend analysis, and develop future-oriented design foresight through AI-supported and data-driven methods in fashion and textile design. The course focuses on improving students’ competencies in digital data collection, AI-assisted visual and textual analysis, transforming trend data into design processes, and developing critical perspectives. In addition, the transformation of the contemporary fashion system is discussed within the contexts of sustainability, ethics, and digital culture, encouraging students to develop interdisciplinary design thinking.
Course Content
The course covers the concept of trends, trend formation processes within the fashion system, micro, macro, and mega trend analyses, data collection and interpretation methods, AI-supported analysis techniques, prompt design, visual and textual data generation, the role of digital platforms in trend dissemination, the transformation of trends into design processes, and sustainability-oriented trend evaluations. The course includes theoretical knowledge, practical analysis studies, digital visualization processes, project development, and critical presentation stages.
Course Precondition
non
Resources
Raymond, M. — The Trend Forecaster’s Handbook Brannon, E. L. — Fashion Forecasting Kawamura, Y. — Fashion-ology: An Introduction to Fashion Studies Quinn, B. — Techno Fashion Manovich, L. — Cultural Analytics Fletcher, K. — Sustainable Fashion and Textiles: Design Journeys Gwilt, A. — A Practical Guide to Sustainable Fashion Renfrew, E. & Renfrew, C. — Developing a Fashion Collection
Notes
WGSN Trend Reports and digital trend analysis platforms Pantone Color Forecasting Guides
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the concept of trends within historical, cultural, and theoretical contexts. |
| LO02 | Analyze and compare micro, macro, and mega trends. |
| LO03 | Apply data collection and research methods in fashion and textile design. |
| LO04 | Use AI-supported analysis and visualization tools. |
| LO05 | Interpret visual and textual data to create trend reports. |
| LO06 | Produce creative visual content through prompt-writing techniques. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Acknowledges what innovative designs in art and design are. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Students explain the technical and technological information for creating and developing products related to the field. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Students know how to use computer aided design software used in textile and fashion design. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Students know at least one foreign language in order to follow international developments related to their profession. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Students create two-dimensional surfaces and three-dimensional art and design objects by analyzing the knowledge gained in their field of expertise. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Students design textile products in accordance with aesthetic, technical and marketing criteria. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Students exhibit the original products they have created in the field of clothing and home textiles with weaving-knitting-printing techniques. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students; presents the knowledge gained in the field of specialization by using research methods in the form of thesis, paper, article, seminar and portfolio. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students analyze, comment and criticize at the level of expertise in the field of art and design. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Students present their work in a unique language using their professional dialectical skills. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Students evaluate products in the industrial or artistic field by using production methods related to their field. | |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | Students acquire the habit of complying with copyright and design law. | |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Students acquire design, artistic and cultural knowledge related to their field at the level of expertise. | |
| PLO14 | Yetkinlikler - Alana Özgü Yetkinlik | students analyze their designs in line with current fashion trends and transfer color, shape, texture and material elements to the design of textile products, by mastering the structure of the product development process. | 5 |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Students work in teams in the fields of weaving, printing and clothing, which they specialize in, by collaborating with different disciplines. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | he Concept of Trends and the Fashion System | Current fashion trends should be researched. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 2 | Types of Trends and Layered Structures | Examples of micro and macro trends should be examined. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 3 | Traditional and Digital Trend Research Methods | Preliminary research on digital data collection methods should be conducted. | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
| 4 | Use AI-supported analysis and visualization tools. | Visual and Textual Data Analysis | Öğretim Yöntemleri: Gösteri |
| 5 | AI-Supported Trend Analysis Tools | AI-supported design tools should be researched. | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma |
| 6 | Produce creative visual content through prompt-writing techniques. Transform trend analyses into design processes. | Prompt-writing examples should be prepared. | Öğretim Yöntemleri: Gösterip Yaptırma, Deney / Laboratuvar, Proje Temelli Öğrenme |
| 7 | Visual Production Strategies with AI | Conceptual visualization studies should be conducted. | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Proje / Tasarım |
|
| 9 | From Trend Analysis to Design | Theme and collection research should be conducted. | Öğretim Yöntemleri: Bireysel Çalışma, Beyin Fırtınası |
| 10 | Digital Platforms and Trend Dissemination | Social media trend analyses should be examined. | Öğretim Yöntemleri: Örnek Olay |
| 11 | Sustainability and Trend Cycles | Sustainable fashion examples should be researched. | Öğretim Yöntemleri: Benzetim |
| 12 | Critical Trend Analysis | Critical fashion analyses should be reviewed. | Öğretim Yöntemleri: Tartışma |
| 13 | Future Forecasting and Scenario Development | Conceptual studies for future scenarios should be prepared. | Öğretim Yöntemleri: Beyin Fırtınası, Proje Temelli Öğrenme |
| 14 | Final Project Development Process | Design files for the final project process should be prepared. | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 15 | Final Project Preparation | Trend reports and presentation outputs should be completed. | Öğretim Yöntemleri: Proje Temelli Öğrenme , Problem Çözme, Bireysel Çalışma |
| 16 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 12 | 3 | 36 |
| Out of Class Study (Preliminary Work, Practice) | 12 | 8 | 96 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 6 | 12 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 3 | 3 |
| Final Exam | 1 | 3 | 3 |
| Total Workload (Hour) | 150 | ||
| Total Workload / 25 (h) | 6,00 | ||
| ECTS | 6 ECTS | ||