This October, my colleague Rich and I went to the National Numeracy Network annual meeting in Northfield, MN (more on that here). During a session on teaching quantitative reasoning led by the brilliant Kate Folliette, folks shared their favorite brain teasers.
A subset of my favorites are below, and are also currently posted outside of my office (ETC 225). Think through these questions; check the links for more resources/background. (Answers at end of post)
I am in the process of building a series of tutorials on the Data@Reed website. The current set of tutorials address among the most common tasks in R, such as reading in data, creating variables, and creating plots as well as more complicated tasks like creating html tables and interactive graphs.
Earlier this month, Rich and I traveled to Carleton College to join people from 23 institutions of higher education for the annual conference of the National Numeracy Network (NNN). The NNN focuses on building quantitative literacy for all citizens, with education being central to that work. The majority of attendees were from smaller liberal arts colleges – predominantly staff, with some faculty joining.
Continue reading “Quantitative reasoning and quantitative literacy (NNN 2014)”
Update: A half-dozen students joined me for a whirlwind hour of data analysis using Stata on Wednesday. Through hands-on exercises, we worked through some basic analyses and some common errors and other roadblocks. If you missed the workshop, the materials are linked below.
Continue reading “Data Analysis using Stata: Workshop, 10/8/14”
I will be leading a workshop on R tomorrow from 4:30 to 5:30 pm in ETC 205.
The workshop is designed to be useful for users with all levels of experience. The workshop will include a basic overview of R and RStudio, but will primarily focus on showing students how to make interactive graphs and maps using the googleVis package in R. Everyone in attendance will produce a .html file with a series of interactive data displays.
You can access the slide deck, which was built entirely in R, for the presentation here.
See you tomorrow afternoon!
As part of our spring Quantitative Research Skills Workshop Series, I held an introduction workshop for MATLAB this afternoon. The presentation was aimed at a completely näive audience — we covered some background of the program and its applications, walked through the interface, did some basic calculations, and heard from a Psychology faculty member who uses MATLAB on a regular basis as part of his neuroscience research. Some useful links, below. Continue reading “Workshop: Introduction to MATLAB”
Prepping for Paideia this year, I approached visiting professor Albert Kim about providing a quick one-hour introduction to R. R is the chosen platform for our introductory statistics course and is used by folks across all the sciences (social, physical, natural) across campus. Speaking with faculty and students over the past two years, I regularly hear requests for more R support.
My introduction to Paideia teaching was a grey Thursday in January 2013 — blessed be that first batch of students, for they were patient with the initial out-of-the-gates lecture, which I’ve since refined considerably. Continue reading “Workshop: Introduction to Stata”
