Updated Sept 23rd: See links for session recordings at the bottom of this page.
About OSOS
Open Source for Open Science (OSOS) is a free annual workshop developed to familiarize participants with selected open-source software and programing tools to be able to conduct quantitative analysis and statistical methods for scientific inquiry. This computational course is aimed at incoming EEB graduate students; however, you need not be in EEB or a graduate student to attend. In addition, you may receive 1 credit hour of EEBL 612 for this course in the Fall 2020 semester. (Download the announcement)
When: September 12-13 (9:30 am – 3:30 pm)
Where: Virtual – links to follow
Contact
Emergency Contacts: Nick Jacobsen, Coordinator; Giri Athrey, Outreach Chair.
Registration
Click here to register. You may also register through the link listed on the announcement flyer (above).
Participant Guide
Download the Participant Guide. The 10-page guide includes the final schedule, how to prepare your computer for the workshop, and links to all the downloads you will need and instructions for joining and navigating the workshop.
NOTE: It is critical that you read the guide to prepare for the workshop. Except for the schedule, those details will not be reproduced on this page.
Schedule
Saturday, September 12, 2020
Session 1
9:00-10:30am: Intro to R, Danielle Walkup
15 minute break
10:45-12:00pm: Session 1 continued
12:00-1:00pm Lunch
Session 2
1:00-2:30 pm: Analysis & Visualization in R, Carl Hjelmen
15 minute break
2:45-4:00pm: Session 2 continued
Sunday, September 13, 2020
Session 3
9:00-10:30am : Data Exploration & Visualization in R, Michelle Mellers
15 minute break
10:45-12:00pm: Session 3 continued
12:00-1:00pm Lunch
Session 4
1:00-2:30pm: Data Analyses in Python, Matthew Hielsberg
15 minute break
2:45-4:00pm: Session 4 continued
Session Recordings
Update Sept. 23: We had another successful OSOS workshop! Here are the links to session recordings:
Session 2, Saturday afternoon
Session 3: Sunday morning
Session 4: Sunday afternoon
