# 🏢 Design Project: Course Overview
Turn your self-driving lab expertise into a real-world project. During this course, you will propose, design, and build a self-driving laboratory at the AC training lab equipped with education- and research-grade equipment including liquid handlers, solid dispensers, Cartesian-axis systems, and mobile robotic arms. Prior to arrival, you'll create schematic figures, write white papers, and present your proposals to a team of scientists. During a week-long in-person experience, you'll implement your proposal and document your progress. After the visit, you will share your designs, data, and documentation to contribute to the public knowledge base.
## 🔑 Prerequisites
💡 Introduction to AI for Discovery using Self-driving Labs
📈 AI and Materials Databases for Self-driving Labs
🦾 Autonomous Systems for Self-driving Labs
🧑💻 Software Development for Self-driving Labs
## 🎯 Learning Outcomes
- Create and illustrate a detailed schematic figure to propose a self-driving lab
- Compose a concise white paper on the self-driving laboratory
- Deliver a persuasive and clear presentation of the self-driving lab proposal to a team of scientists
- Develop and implement a design project at the AC Training Lab, demonstrating applied knowledge, problem-solving, and project management skills
- Compile a detailed project update, including proposed next steps, to demonstrate strategic planning and the ability to evaluate ongoing progress
- Exhibit and disseminate the project's designs, data, and documentation publicly
## 🛠️ Competencies/Skills
- Scientific communication
- Systems design
- Dissemination
- Interdisciplinary teamwork
## 🧩 Modules
This course is expected to take approximately 50 hours to complete (5 prep, 40 in-person, 5 post-project).
```{list-table}
:header-rows: 1
* - Module Name
- Topics
- Learning Outcomes
* - Project proposal
- * Figures
* White papers
* Presentations
- * Propose a self-driving lab via a schematic figure
* Write a white paper for the self-driving laboratory
* Present the proposal to a team of scientists
* - Design and execution
- * SDL design
* Implementation
* Documentation
- * Design and execute the project at the AC training lab
* Provide a project update with proposed next steps
* - Dissemination
- * Project update
* Knowledge sharing
* Data and documentation
- * Share the designs, data, and documentation publicly
```
## ⚖️ Course Assessments and Grading Schema
Performance in this course is assessed via rubrics that evaluate the quality of the proposal, build, and dissemination stages. The proposal rubric evaluates the schematic figure, white paper, and presentation. The build rubric evaluates the design, implementation, and documentation. The dissemination rubric evaluates a final write-up. Module 1 is worth 25 points. Module 2 is worth 50 points. Module 3 is worth 25 points.
## 👤 Course developer(s)
- Sterling Baird, PhD Materials Science and Engineering (Acceleration Consortium)