Teaching
Teaching Tech @ Fashion School
Should I hide this technology in the garment?
Should I showcase this technology in the garment?
How can I use this technology to enhance the physical appearance of the wearer?
What else have I seen with these limitations (using this technology) in clothing?
Understanding the current state of art in wearable solutions, what can I apply here?
The class provides an understanding of wearable devices as a fusion of contemporary fashion and advanced technology.
The students will investigate existing products through case studies covering production, marketing and distribution issues. Gain an
insider's view on collaboration with tech companies by designing a new wearable device for their portfolio.
Week 1 – Overview of the course, highlighting the convergence of AI, Blockchain, 3D Printing, and Wearable Technology in fashion.
Week 2 – Introduction to AI fundamentals and how data-driven insights can influence design trends and consumer behavior.
Week 3 – Exploring AI applications in personalized fashion, from virtual stylists to adaptive garments.
Week 4 – Understanding the basics of Blockchain for supply chain transparency, authenticity, and digital ownership.
Week 5 – Delving deeper into Blockchain use cases with smart contracts and NFTs tailored for fashion items.
Week 6 – Learning 3D printing fundamentals, including common materials, processes, and design considerations.
Week 7 – Experimenting with advanced 3D printing techniques for sustainable, customized, and on-demand fashion production.
Week 8 – Introduction to wearable technology, examining sensors, microcontrollers, and conductive materials.
Week 9 – Balancing aesthetics and function in wearables through user-centric design and prototyping.
Week 10 – Merging AI, Blockchain, and 3D printing with wearable tech for truly innovative, tech-infused fashion concepts.
Week 11 – Group workshops for ideation and initial prototyping of integrated fashion-tech projects.
Week 12 – Refining prototypes with user feedback, focusing on both design elegance and technical feasibility.
Week 13 – Testing and troubleshooting projects to ensure reliability, comfort, and a compelling user experience.
Week 14 – Finalizing project details, practicing presentations, and preparing documentation.
Week 15 – Student projects reviewed with in-class presentations, showcasing fully realized fashion-tech solutions.
Day 1 – Introduction to key ML and AI concepts, including ANN, CNN, RNN, and the basic terminology of deep learning.
Day 2 – Exploring how to train ML models, focusing on hyperparameters, loss functions, optimization, and overfitting mitigation.
Day 3 – Building a simple ML prediction engine, understanding gradient computation, and setting up practical workflows (Colab).
Day 4 – Applying ML to fashion, highlighting real-world challenges, competitions, and large-scale fashion image datasets.