Overview
This course introduces students to the language of data without coding, helping them bridge the gap between design thinking and data literacy. Tailored for students in Fashion Design, Communication Design, Interior Design, Visual Arts, and Architecture, this part explores how design decisions are increasingly data- driven—from trend prediction to layout optimization and spatial analysis. Through intuitive, no-code tools like Google Sheets, Canva Graphs, Flourish, Tableau Public, and ChatGPT, students will learn how to collect, clean, visualize, and interpret data, making it a core component of their design workflows. The course emphasizes storytelling through data, allowing students to support their creative concepts with measurable insights and impactful dashboards. This part is essential for developing a data-aware design mindset, which is increasingly expected in both creative agencies and planning firms.
Front_AI –_PRINCIPLE_IN_ARCHITECTURE_DESIGN.pdf
Objectives of Event
To introduce students from Design, Architecture, and Planning backgrounds to data literacy through non- coding, hands-on learning. This part helps learners understand how data is collected, cleaned, interpreted, and visualized — using intuitive tools to support design decisions and creative outputs.
Convener Details
Prof.(Dr.) Dipti Parashar,
Associate Dean, School of Design
Co-ordinators:
Girish Kumar Bharati,
Assistant Professor, School of Design
Speaker Details:
- Mr. Satvinder Singh Walia
