Weekly Schedule

Wednesdays @ 1130 - 1300 PDT / 1430 - 1600 EDT

Format is Virtual, Zoom link will be emailed to enrolled attendees

This schedule is tentative and subject to change

Calendar

Week	Date	Content	Description
Week 1	July 2	Intro to Open Science	In the opening session we take in the big picture of what Open Science is and why. We will discuss how an open approach can be applied to scientific research. This is our least technical session.
Week 2	July 9	Data management	The foundation of any science endeavor is data. In this session we will dive deep into storing, sharing, and managing your research datasets. We'll specifically cover data management plans (DMPs) and explain how licenses can allow other researchers to build on your work while ensuring credit is given.
Week 3	July 16	How to Talk to Computers	Behind the veil of graphical point-and-click displays lies the command line interface, a more direct and powerful way to instruct your computer. In this session we will introduce you to the basics of the Unix command line (aka Shell). These skills are not only useful for a data science tool kit, but also a necessity for working on cloud and HPC.
Week 4	July 23	AI Prompting for research	You've heard of GPTs and LLMs and have probably already started to use them for daily productivity. In this course we'll talk about how to integrate AI into data science workflows, and how to avoid crashing out of the AI hypecycle.