π’ AC Training Lab Design Projectο
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, youβll create schematic figures, write white papers, and present your proposals to a team of scientists. During a week-long in-person experience, youβll 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.
π Recommended Prerequisitesο
π‘ Introduction to AI for Discovery using Self-driving Labs
π AI and Materials Databases for Self-driving Labs
π¦Ύ Autonomous Systems for Self-driving Labs
π§βπ» Software Development for Self-driving Labs
π― Learning Outcomesο
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 capstone 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 projectβs designs, data, and documentation publicly
π οΈ Competencies/Skillsο
Scientific communication
Systems design
Dissemination
Interdisciplinary teamwork
𧩠Modulesο
This course is expected to take approximately 40 hours to complete.
Module Name |
Topics |
Learning Outcomes |
---|---|---|
Project proposal |
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Design and execution |
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Dissemination |
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βοΈ Course Assessments and Grading Schemaο
Performance in this course is assessed via rubrics that evaluate the quality of the proposal, design/build, and stages. The proposal rubric evaluates the schematic figure, white paper, and presentation. The design rubric evaluates the design, implementation, and documentation. The build rubric evaluates the build, implementation, and documentation. Each module is worth 100 points.
π€ Course developer(s)ο
Sterling Baird, PhD Materials Science and Engineering (Acceleration Consortium)