Events

Are you starting a research project at UC Berkeley that involves human subjects? If so, one of the first steps you will need to take is getting IRB approval. Numerous questions can come to mind when first negotiating getting a project approved. When should you apply? Does your project require review, and if so, what kind? This course will walk you through the process of getting IRB approval for your project. After this course, you will approach getting your project approved with confidence that will save you time and avoid potential delays. Specifically, we will: Describe the origins of the institutional review board and its purpose. Introduce you to IRB at UC Berkeley. Walk through the different types of protocols to determine the best one for your project. Create a protocol and explain in-depth the different portions that make up your eprotocol. Discuss the review and amendment process. Prerequisites: None Workshop Materials:  IRB slides(link is external) and https://github.com/dlab-berkeley/IRB-Fundamentals(link is external) Feedback: After completing the workshop, please provide us feedback using this form. Questions? Email: [email protected](link sends e-mail) LOCATION: Remote via Zoom. Link will be sent on the morning of the event.

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided. Prerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge. Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals(link is external) Software Requirements:Installation Instructions(link is external) for Python Anaconda Is Python Not working on your laptop? Attend the workshop anyway, we can provide you with a cloud-based solution(link is external) until you figure out the problems with your local installation. Feedback: After completing the workshop, please provide us feedback using this form Questions? Email: [email protected](link sends e-mail) LOCATION: Remote via Zoom. Link will be sent on the morning of the event.