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AI Campus Launch: Learn SMART, AIM Higher, 25 June 2026

OpenAI Codex for CS, IT, MMA, and Engineering

Student Case Study for FEU Tech's Grand OpenAI Launch

Organizer
FEU Institute of Technology
Venue
FEU Auditorium
Attendees
2,000
Type
Talk
Level
Foundational
Duration
60 minutes
  • OpenAI Codex
  • CAD
  • CLI
  • Electrical Engineering
  • Mechanical Engineering
  • Computer Engineering
  • Computer Science
  • Multimedia Arts
  • Information Technology
Title slide of OpenAI Codex for CS, IT, MMA, and Engineering

Abstract

This talk shows how to use the OpenAI Codex CLI to generate CAD models, electrical schematics, mechanical designs, and software code from plain language prompts. It walks through installing the tool, adding plugins, and applying it to engineering disciplines like civil, electrical, mechanical, and computer engineering. The session also covers integrating Codex with multimedia arts and computer science workflows.

Outline

  1. Introduction to OpenAI Codex CLI and installation
  2. Codex Skills and Plugins for CAD and engineering tasks
  3. Case study: Smart home design with Codex
  4. Codex for Civil Engineering: floor plans and structural elements
  5. Codex for Electrical Engineering: wiring diagrams and load schedules
  6. Codex for Mechanical Engineering: generator design and cutaway views
  7. Codex for Electronics Engineering: sensor schematics and BOMs
  8. Codex for Computer Engineering: motion sensors and system logic
  9. Codex for Computer Science: training a Tagalog intent model
  10. Codex for Multimedia Arts: Figma to code workflows
  11. Codex for Information Technology: web and mobile app development
  12. Open-ended prompts and project ideas for the audience

Key takeaways

  • How to install and run the OpenAI Codex CLI on Windows, macOS, and Linux.
  • Using Codex Skills and Plugins to generate CAD models and engineering diagrams from text.
  • Examples of Codex applied to civil, electrical, mechanical, and electronics engineering tasks.
  • Integrating Codex with computer science workflows like training a Tagalog intent model.
  • Connecting Codex outputs to multimedia arts and IT development pipelines.