From 70e61bae9ee0839e8544db2cf9cc9a3273a447f5 Mon Sep 17 00:00:00 2001 From: "Sterling G. Baird" Date: Mon, 18 Nov 2024 23:16:30 -0500 Subject: [PATCH] Update course-data.yaml comment waitlist links --- docs/course-data.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/course-data.yaml b/docs/course-data.yaml index d8d071b..bd23b9f 100644 --- a/docs/course-data.yaml +++ b/docs/course-data.yaml @@ -427,7 +427,7 @@ robotics: course_title: "Autonomous Systems for Self-driving Labs" course_emoji: "🦾" registration_link: "https://learn.utoronto.ca/programs-courses/courses/4132-autonomous-systems-self-driving-labs" - waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035513" + # waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035513" description: "Embark on a journey into the world of robotics and automation for self-driving laboratories. This asynchronous, remote course equips you with the skills to control peristaltic pumps, linear actuators, automated liquid handlers, and solid dispensers using a microcontroller, a motor driver, and a workflow orchestration package. You'll also learn to control mobile cobots and perform spatial referencing and ID recognition via computer vision. The course will conclude with a solid sample transfer workflow using a multi-axis robot. Remotely accessible resources will be provided as necessary." media_command: "" media_caption: "Self-driving lab robotic platforms. 1. ADA at the University of British Columbia (C. Berlinguette, J. Hein, A. Aspuru-Guzik); 2. Artificial Chemist (M. Abolhasani, NC State University); 3. Robotically reconfigurable flow chemistry platform (C. Coley, MIT); 4. Chemputer (L. Cronin, University of Glasgow); 5. Mobile robot chemist (A. Cooper, University of Liverpool). Source: [https://acceleration.utoronto.ca/maps](https://acceleration.utoronto.ca/maps)" @@ -534,7 +534,7 @@ software-dev: course_title: "Software Development for Self-driving Labs" course_emoji: "🧑‍💻" registration_link: "https://learn.utoronto.ca/programs-courses/courses/4133-software-development-self-driving-labs" - waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035551" + # waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035551" short_description: "" description: "Elevate your software development skills in the context of self-driving laboratories. This asynchronous, remote course introduces software development concepts and best practices and productivity tools such as integrated development environments (IDEs) with VS Code, unit testing with pytest, continuous integration via GitHub actions, and documentation creation using Sphinx and Read the Docs. You'll also learn to deploy materials discovery campaigns on cloud servers or dedicated hardware and run offline simulations using cloud hosting." media_command: ""