When: Friday, Sept 1 through Sunday, Sept 3
Where: 301 Rudder Tower, Texas A&M University, College Station, TX
SIGN UP HERE
Open Source for Open Science (OSOS) 2017 is a free workshop aimed 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 year we are excited to have four module instructors focusing on an introduction to R, graphics in R, intermediate R tools for data handling, multivariate ordination in R, geometric morphometrics in R, and an introduction to Perl for bioinformatics work.
This 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 2017 semester.
After you sign up, you will receive an email with more details about required downloads and expectations in a few weeks. A laptop is required to follow this course. We have space for a maximum of 84 participants, so sign up asap if you would like to attend.
Learning Outcomes: Students will leave this course with the ability to program in R for their research and coursework. They will be able to get data into R, make graphs, conduct statistical analyses, view and analyze shape data, and access and explore data repositories. They will be able to find critical R resources for further in depth learning in R. Students will also have the ability to begin to program in Perl for bioinformatics work.
Required: A laptop is required for this workshop.
Register: goo.gl/oDQBsT or click Sign Up Here above.
Meeting Place: 301 Rudder Tower, Texas A&M University, College Station, TX
Download files:
Intro to R, Part I (Rebecca Clark)
Intro to R, Part 2 (Rebecca Clark)
Graphics in R (Rebecca Clark)
Multivariate Ordination in R (Michelle Chrpa)
Geometric Morphometrics (Michelle Chrpa)
Accessing Data Repositories (Adrian Castellanos)
Ecological Niche Modeling in R (Adrian Castellanos)
Introduction to Perl, Parts 1 & 2 (Dr. Tomasz Koralewski)
For more information: Please direct questions to Jason Martina or Michelle Lawing.
Dates and Times (schedule below)
Friday, Sept 1: 5 – 8 pm
Saturday, Sept 2: 9 – 6 pm
Sunday, Sept 3: 9 – 3 pm
Instructors
Rebecca Clark, UC Berkeley
Adrian Castellanos, TAMU
Michelle Chrpa, TAMU
Tomasz Koralewski, TAMU
Schedule
Friday, September 1st, 5 – 8pm
5:00 – 6:30 pm
INTRODUCTION TO R, PART 1 (Dr. Rebecca Clark)
Download files: Intro to R, Part I
6:30 – 6:45 pm
BREAK
6:45 – 8:00 pm
INTRODUCTION TO R, PART 2 (Dr. Rebecca Clark)
Download files: Intro to R, Part 2
Saturday, September 2nd, 9 – 6
9:00 – 10:30 am
GRAPHICS IN R (Dr. Rebecca Clark)
Download files: Graphics in R
10:30 – 10:45 am
BREAK
10:45 – 12:15 pm
MULTIVARIATE ORDINATION IN R (Michelle Chrpa)
Download files: Multivariate Ordination in R
LUNCH BREAK
2:00 – 3:30 pm
ACCESSING DATA REPOSITORIES THROUGH R (GBIF and iNaturalist)
(Adrian Castellanos)
Download files: Accessing Data Repositories
3:30 – 4:00 pm
BREAK
4:00 – 6:00 pm
ECOLOGICAL NICHE MODELING IN R: TIPS, TRICKS, AND PITFALLS
(Adrian Castellanos)
Download files: Ecological Niche Modeling in R
Sunday, September 3rd, 9 – 3
9:00 – 10:30 am
INTRODUCTION TO PERL, PART 1 (Dr. Tomasz Koralewski)
Download: Perl v5.X.Y
Download files: Introduction to Perl
10:30 – 10:45 am
BREAK
10:45 – 12:15 pm
INTRODUCTION TO PERL, PART 2 (Dr. Tomasz Koralewski)
Download files: See Perl Part 1 above
LUNCH BREAK
1:30 – 3:00 pm
GEOMETRIC MORPHOMETRICS (Michelle Chrpa)
Download files: Geometric Morphometrics
