CSSCR Spring 2017, Number I
From the Director
Spring is in the air, and that means the start of a new quarter. Once again, CSSCR will offer a series of early-quarter short courses designed to help students get started with analytical packages in their regular courses. For this round, we offer a mix of introductory courses in R and other popular statistical packages.
If you don't see a course offered that you think we should cover, stop by and tell us about it or send us an email at csscr@u.washington.edu. We will offer a second set of courses mid-quarter that will include both introductory and more specialized topics. You can learn about CSSCR short course offeings by subscribing to our newsletter.
Please make your summer lab reservations as soon as possible: Give us a call (206-543-8110) or drop us an email at csscr@u.washington.edu. The labs can be reserved by faculty in our member departments. Students and student groups are welcomed to reserve the labs for workshops, experiments, group projects, etc. The lab schedule can be seen on our online calendar.
-- Darryl Holman
Introduction to R with RStudio
Description:
This class will teach you how to get started with R using the
free integrated development environment called RStudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Gabby Gorsky, CSSCR Consultant
Date: Wednesday, 29 Mar 2017
Time: 10:30pm - 11:20pm
Place: Savery 121
Register here.
Introduction to SPSS
Description:
This class introduces SPSS basic structure and layout. We will go over how to import, manage, and record data as well as do some descriptive statistics and simple analyses like t-test, correlation, and regression.
Instructor: Tina Tian, CSSCR Data Specialist
Date: Thursday 30 Mar 2017
Time: 9:30am - 10:20am
Place: Savery 121
Register here.
Introduction to R with RStudio
Description:
This class will teach you how to get started with R using the
free integrated development environment called Rstudio. The course will cover the basic
organization of R and RStudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Yunkang Yang, CSSCR Consultant
Date: Friday, 31 Mar 2017
Time: 3:30pm - 4:20pm
Place: Savery 121
Register here.
Basic Quantitative Analysis in Excel
Description:
This class will teach you how to do basic computation and quantitative analysis in Excel. The course introduces the programming and function call capabilities in Excel, and how to use them to perform basic data analysis.
Instructor: Baishakhi Basu, CSSCR Consultant
Date: Monday, 3 Apr 2017
Time: 2:00pm - 2:50pm
Place: Savery 121
Register here.
Introduction to R with RStudio
Description:
This class will teach you how to get started with R using the
free integrated development environment called RStudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Nathan Abe, CSSCR Consultant
Date: Monday, 3 Apr 2017
Time: 3:30pm - 4:20pm
Place: Savery 121
Register here.
Introduction to SAS
Description:
This introductory class will cover basic features and some data cleaning and recoding of variables in SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; and some basic data recoding and variable creation.
Instructor: Nikki Gurley, CSSCR Consultant
Date: Tuesday, 4 Apr, 2017
Time: 4:30pm - 5:20pm
Place: Savery 121
Register here.
Introduction to R with RStudio
Description:
This class will teach you how to get started with R using the
free integrated development environment called RStudio. The course will cover the basic
organization of R and Rstudio, where to find good help
references, and how to begin a basic analysis. This class is
ideal for users who have little or no experience with R.
Instructor: Carolina Johnson, CSSCR Consultant
Date: Wednesday, 5 Apr 2017
Time: 9:00am - 9:50am
Place: Savery 121
Register here.
Introduction to Stata
Description:
This class will teach you how to get started with Stata using do files. The course will cover the basic organization of Stata, where to find good help references, and how to begin a basic analysis and create a log file of results. This class is ideal for users who have little or no experience with Stata.
Instructor: Laine Rutledge, CSSCR Consultant
Date: Wednesday, 5 Apr 2017
Time: 10:00am - 10:50am
Place: Savery 121
Register here.
Data Wrangling in R
Description:
This course will cover some of R's useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham's excellent tidyr and dplyr packages. Attendees will be assumed to have basic familiarity with R.
Instructor: Stephanie Lee, CSSCR Consultant
Date: Thursday, 6 Apr 2017
Time: 4:30pm - 5:20pm
Place: Savery 121
Register here.
Introduction to R Base Graphics
Description:
This class will introduce students to ways of producing effective graphs in R. Topics covered will include basic plotting functions (histograms, scatter plots, etc.), production of multi-panel graphs, and various means for exporting graphs for use outside of R.
Instructor: Will Brown, CSSCR Consultant
Date: Friday, 7 Apr 2017
Time: 11:30am-12:20pm
Place: Savery 121
Register here.
To register for the above classes, follow this link.
Other Seminars, Courses, etc.
Description:
This is an introduction to graphics in the statistical programming
language.
Instructor:Cori Mar, CSDE Methods and Data Director
Date: Thursday, 6 Apr 2017
Time: 12:00pm-2:20pm
Place: Savery 121
Register here (bottom of page).
Center for Studies in Demography and Ecology: Introduction to GIS
Description:
This workshop will begin by presenting an overview of the basic concepts of Spatial Analysis and Geographic Information Systems (GIS). Armed with an understanding of what GIS is, students will complete a hands-on tutorial introducing ESRI's ArcGIS software. Topics covered during the first week's lab will include: working with GIS data, simple data queries, and map creation (symbolization, labeling, layout and export). Building on the basic concepts covered during the first week, week 2 will focus entirely on hands-on training in GIS for demographic research. Topics covered in the second week's lab will include: acquiring GIS and census data, synthesizing multiple data sources, and basic GIS analysis.
This workshop meets twice, Monday April 10th and Monday April 17th from 1pm to 4pm. Signup once to be registered for both meetings.
Prerequisite: The workshop assumes no prior knowledge of GIS.
Instructor:Matt Dunbar, CSDE Research Scientist
Date: Monday, 10 Apr 2017
Time: 1:00pm-3:50pm
Place: Savery 117
Register here (bottom of page).
The Center for Social Science Computation and Research (CSSCR)
is an interdepartmental computer center in the College of Arts and
Sciences at the University of Washington. CSSCR provides facilities and
consulting support for computing activity related to teaching and
research at the University.
Hours of Operation
Spring Quarter
Consulting and Computers are available Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm
Office: Monday to Friday: 8:00am to 12:00pm, 1:00pm to 5:00pm
We are closed weekends and for university holidays
Contact Us
If
you would like to request academic accommodations due to a disability,
please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TDD).
If you have a letter from Disabled Student Services indicating you have
a disability that requires academic accommodations, please present the
letter to Darryl Holman at CSSCR so we may discuss the accommodations
you might need for class.