Home
Courses
Ia (Inteligência Artificial) no Ecossistema da Moda
Ia (Inteligência Artificial) no Ecossistema da Moda

Ia (Inteligência Artificial) no Ecossistema da Moda

Code	17007
Year	1
Semester	L0
ECTS Credits	1
Workload	OT(12H)/PL(12H)/T(2H)/TP(2H)
Scientific area	Textile
Entry requirements	n.a
Learning outcomes	1- Acquire knowledge and skills in AI tools for the Fashion ecosystem 2 - Know and apply existing tools on the market. 3 - Being able to develop fashion products and capsule collections with AI. 4 - Apply to digital AI platforms. 5 - Use and select the best AI resources
Syllabus	1 - Introduction Artificial Intelligence in the Fashion Ecosystem 2 - State of the Art of AI: What is it? 3 - AI applied to creative industries / ecosystem and needs 4 - AI tools present in the life of the fashion ecosystem 5. Basic development of a capsule using AI technologies 6. Assessment project. presentation of capsules and resources used
Main Bibliography	Guo, Z., Zhu, Z., Li, Y., Cao, S., Chen, H., & Wang, G. (2023). AI assisted fashion design: A review. IEEE Access. Kouslis, E., Papachristou, E., Stavropoulos, T. G., Papazoglou Chalikias, A., Chatzilari, E., Nikolopoulos, S., & Kompatsiaris, I. (2024). AI in fashion: a literature review. Electronic Commerce Research, 1-32. Banerjee, S., Mohapatra, S., & Bharati, M. (2022). AI in fashion industry. Emerald Publishing Limited. WEBGRAFIA https://chatgpt.com https://www.midjourney.com/home https://openai.com/index/dall-e-2
Teaching Methodologies and Assessment Criteria	Active and cooperative methodologies are used with demonstration actions; Workshops and practical exercises in a student-centered methodology. Group discussion and teamwork methodologies are also used. Assessment criteria are based on an assessment component across classes T, TP and PL, with an attendance criterion of 80% for attendance admission. The final assessment is based on the elaboration of a mini project using AI tools and classified on a scale of 0-20 values. Final Grade: 30% Attendance (including participation in group discussion on the topic) + 70% of the Mini Project Final Grade >= 9.5 Approved. Final Grade < 9.5 and > 6 Failed and admitted to the exam
Language	Portuguese. Tutorial support is available in English.