About the Workshop Series

Brand new workshops in collaboration with Experiential Data science for Undergraduate Cross-disciplinary Education (EDUCE) at the U. of British Columbia.

This is a 3 part workshop series. Your registration covers the 3 sessions, totally 6 hours of instruction

• Workshop 1: Monday, June 25, 2:00 - 4:00pm
• Workshop 2: Wednesday, June 27, 2:00 - 4:00 pm
• Workshop 3: Friday, June 29, 2:00 - 4:00 pm

In this series, we introduce computational reproducibility and its importance to modern research. We will teach the general principles for reproducible computer-based analyses, along with specific methods and tools for reproducibility and version control with RStudio and GitHub.

You will learn how to:

• Construct reproducible, automatable workflows in R
• Create reproducible documents using Rmarkdown to include underlying code / computations with relevant graphical and statistical results in several different formats (reports, presentation slides, handouts, notes)
• Use Git version control
• Integrate version control with GitHub for both personal and group projects

Pre-requisites

ECOSCOPE workshops "Introduction to R" or "Advanced introduction to R", EDUCE modules in MICB 301/405/425/421, or equivalent knowledge of R.

Funding opportunities

If the cost of this workshop series is prohibitative to your enrollment, please contact ECOSCOPE (info.ecoscope@ubc.ca) at least 1 week prior to the workshop to learn about funding opportunities.

MRN students

Microbiome Research Network (MRN) students should have their PI contact info.ecoscope@ubc.ca to receive a registration code.

Contact

For questions or further inquiries, please contact ECOSCOPE at info.ecoscope@ubc.ca

For more events, take a look at our event calendar

No transfers or refunds.