# Minimum Viable CBT Course

Program: Certificate in Robotics, Autonomous Systems and Intelligent Drone Technologies

Scope: Program orientation, Term 1 content only, two full module lessons, one simulation-based lab, one quiz per module, and one learner handout per module.

## MVP Course Components

| Component | File or Folder | Status |
| --- | --- | --- |
| Program orientation video | `../index.html` | HyperFrames pilot built |
| Program narration and storyboard | `../narration-script.md`, `../storyboard.md` | Drafted |
| Term 1 course map | `term-1/course-map.md` | Drafted |
| Module 1 lesson package | `term-1/module-1/` | Drafted |
| Module 2 lesson package | `term-1/module-2/` | Drafted |
| Simulation-based lab | `term-1/lab/simulation-lab-01.md` | Drafted |
| Reusable production guide | `production-guide.md` | Drafted |
| Reusable templates | `templates/` | Drafted |
| Full production tracker | `../../COURSE_PRODUCTION_TRACKER.md` | Active |

## Production Control Documents

- Full tracker: `../../COURSE_PRODUCTION_TRACKER.md`
- Module package checklist: `templates/module-package-checklist.md`
- Production guide: `production-guide.md`

## MVP Learning Flow

1. Watch the program orientation video.
2. Complete Module 1: Introduction to Sustainability Robotics and Intelligent Systems.
3. Complete Module 1 quiz.
4. Review Module 1 handout.
5. Complete Module 2: Introduction to Drone Systems, Aerial Robotics and Control Design Fundamentals.
6. Complete Module 2 quiz.
7. Review Module 2 handout.
8. Complete Simulation Lab 01: Mobile Robot and Drone Control Foundations.
9. Submit a short lab reflection and simulation evidence.

## Recommended LMS Setup

- Course shell: Robotics, Autonomous Systems and Intelligent Drone Technologies - MVP
- Section 0: Program Orientation
- Section 1: Term 1 Module 1
- Section 2: Term 1 Module 2
- Section 3: Simulation Lab
- Section 4: Learner Reflection and Feedback

## MVP Success Criteria

- Learners can explain the major subsystems of robotic and drone systems.
- Learners can distinguish sustainability robotics from general robotics.
- Learners can identify sensors, actuators, controllers, and feedback loops.
- Learners can model a simple control scenario using simulation logic.
- Learners can interpret basic stability, response, and navigation behavior.
- Learners complete both quizzes and submit one lab artifact.