CSSCR Winter 2017, Number IFrom the DirectorWelcome to 2017! This Winter, CSSCR will have short course series. The first series is focused on introductory skills in statistical languages for students taking courses using these languages. They will be held during the first two weeks of the quarter. These short courses are described in this newsletter and are now open to registration. A second series of courses will be scheduled for mid-quarter, and will include both introductory and more specialized topics. These will be described in the next newsletter. If you will be teaching in one of the CSSCR labs during the Spring quarter, now is the time to make your reservations. Our lab reservations can be viewed on the web here. Give us a call (206-543-8110) or drop us an email at csscr@u.washington.edu Please share this newsletter with your colleagues and students. Individuals can subscribe here. Our newsletter archive can be found here. Introduction to R with R StudioDescription: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: Stephanie Lee, CSSCR Consultant Date: Friday, 6 Jan 2017 Time: 9:30am - 10:20am Place: Savery 121 Register here. Short Course OfferingsIntroduction to R with R StudioDescription: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: Friday, 6 Jan 2017 Time: 3:30pm - 4:20pm Place: Savery 121 Register here. Introduction to R with R StudioDescription: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: Monday, 9 Jan 2017 Time: 10:30am - 11:20am Place: Savery 121 Register here. Introduction to StataDescription:Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code in order to perform data cleaning and statistical analysis. No experience in statistical programming necessary. Instructor: Laine Rutledge, CSSCR Consultant Date: Tuesday, 10 Jan 2017 Time: 1:30pm - 2:20pm Place: Savery 117 Register here. Introduction to R with R StudioDescription: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: Tuesday, 10 Jan 2017 Time: 5:00pm - 6:00pm Place: Savery 121 Register here. Introduction to SPSSDescription: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 Staff Date: Wednesday, Jan 11, 2017 Time: 10:30am - 11:20am Place: Savery 121 Register here. Introduction to R Base GraphicsDescription: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: Wednesday, 11 Jan 2017 Time: 3:30pm - 4:20pm Place: Savery 121 Register here. R Graphics Using ggplot2Description:This class is an introduction to the popular graphics package ggplot2. We will discuss the structure of the ggplot2, including the basic elements of the underlying grammar and how plots can be built-up in a layered fashion. We will then use ggplot2 to produce number of different plots, such as line graphs, histograms, and boxplots. Attendees will be assumed to have basic familiarity with R. Instructor: Colin Beam, CSSCR Consultant Date: Thursday, 12 Jan 2017 Time: 4:00pm - 5:00pm Place: Savery 121 Register here. Introduction to SASDescription: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: Friday, Jan 13, 2017 Time: 12:30pm - 1:20pm Place: Savery 121 Register here. To register for the above classes, follow this link. 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
Winter Quarter
Consulting and Computers: Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm Contact UsCenter for Social Science Computation & Research
University of Washington 110 Savery Hall Box 353345 Seattle, Washington 98195 U.S.A. (206) 543-8110 csscr@u.washington.edu http://csscr.washington.edu 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.
|