SUTD Design AI: Assignment Planning Guide

SUTD's Design AI rollout gives Singapore students a clear signal about where university coursework is heading. From AY2026, SUTD says AI will be woven into all three terms of the first-year Freshmore curriculum through the Innovating with Design and AI course. Students will be expected to use AI across research, synthesis, ideation, concept development and prototyping, while keeping the work human-centred.

That is useful news for SUTD students, but it also raises the bar. A project that looks polished is not enough if the student cannot explain the user problem, design tradeoff, prompt choice, prototype limitation or testing result.

What changed

The update is not simply "more AI tools in class". SUTD is tying AI to design process, project iteration and interdisciplinary problem solving. MOE's 2026 announcements also point in the same direction: AI literacy is being integrated into curriculum, co-curriculum and self-directed learning resources across Singapore's education system.

For students, this means assignment planning should start earlier. The final prototype, report or slide deck needs a process trail that shows how the student moved from problem framing to evidence, not only what the final artefact looks like.

How this affects SUTD coursework

Design AI work can involve user research, site analysis, service journeys, app concepts, prototyping, model evaluation, visual mockups and reflection. These tasks overlap with SUTD assignment support, coding assignment help, machine learning assignment help and report writing support.

The key risk is shallow automation. If AI is used to generate ideas, visuals or code without a written rationale, the student may struggle during critique, demo or viva-style questioning. A stronger submission is one where the student can say what was explored, what was rejected and why the final design is defensible.

A Design AI workflow students can use

Before asking for help or finalising a draft, prepare these notes:

1. Problem statement: who the user is, what constraint matters and what success looks like.
2. Evidence map: interviews, observations, readings, datasets or references used.
3. AI-use note: the prompts or tool tasks that shaped ideation, prototyping or review.
4. Rejection log: ideas that were discarded and the reason.
5. Prototype test: what was tested, what failed and what changed.
6. Human judgement note: the decision that was made by the student, not by the tool.

This does not need to be long. Even a one-page process note can make the final work easier to explain.

Where Codingo fits

Codingo can help with guided drafting, code review, prototype debugging, source review, report editing, slide structure and explanation support. For SUTD students, the safest support scope is usually to strengthen the thinking and documentation around the project rather than replace the student's own design decisions.

Share the brief, rubric, current prototype and process notes through Codingo contact. We can suggest a support plan that keeps the student involved and makes the final work easier to defend in class.

Sources

• SUTD: Design AI in all first year courses
• SUTD: Design AI overview
• MOE COS 2026 announcements
• SUTD: Design and Artificial Intelligence education