update location, time, and scope.

README.Rmd

@@ -16,15 +16,15 @@ knitr::opts_chunk$set(
 
 ## Syllabus
 
-This short course teaches you to analyze and visualize large, complex biological data sets use the R statistical programming language, RStudio, and new tools available in the "tidyverse". We use common biological experiments to illustrate analysis strategies including studies of mRNA expression, histone post-translational modification in the context of chromatin, and cell-type characterization using single cell approaches.
+This short course teaches you to analyze and visualize large, complex biological data sets using the R statistical programming language, RStudio, and new tools available in the "tidyverse". We will focus on key analysis skills and foundational programming concepts necessary for the efficient and reproducible analysis of biological data sets.
 
 ### Course number
 
 IDPT 7810 006
 
 ### Dates and Times
 
-The course (2 credit hours) consists of 13 2 hour classes held Mon through Fri from Nov 28 through Dec 14 in P28-1202 (P28-2301 on Dec 6, 7, and 12) from 1:00-3:00 pm. Building P28 is Education 2 North.
+The course (2 credit hours) consists of 12 2 hour classes beginning on Nov 25 and 26, and continuing Mon through Fri from December 2 through December 13 in P18-CTL-1309 (RC1 North). Classes will be held 1:00-3:00 pm. 
 
 We have dedicated office hours on Thurs from 2:30-4pm in RC1 South 9th floor in the main office (behind the glass walls). Come with questions, problems, etc. Please send an email to `[email protected]` to let us know you're coming.
 
@@ -34,11 +34,13 @@ Jay Hesselberth ([email protected])
 
 ### Co-instructors
 
-Austin Gillen (austin.gillen@ucdenver.edu)
+Austin Gillen (austin.gillen@cuanschutz.edu)
 
-Kent Riemondy (kent.riemondy@ucdenver.edu) 
+Kent Riemondy (kent.riemondy@cuanschutz.edu)
 
-Rui Fu ([email protected])
+Rui Fu ([email protected])
+
+Ryan Sheridan ([email protected])
 
 ## Course marks