CSSCR Courses

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Back To School Sessions

What is CSSCR?
Instructor: Prof. Darryl Holman
Date: Monday, September 22
Time: 10:30AM to 10:50AM
Place: Savery 117

This session will give an overview of CSSCR, its equipment, services and resources. I will also explain how CSSCR fits into the college and campus computing picture and what resources campus offers. A brief review of the Back-to-School Seminar agenda will be provided.

How to Be a CSSCR Consultant
Instructor: Stephanie Lee and Kristan Seibel
Date: Monday, September 22
Time: 11:00AM to 11:50AM
Place: Savery 117

This lecture is for CSSCR consultants. We will talk about our culture, policies, tips and tricks. We will conclude with a glitzy dance number.

Introduction to R (Rstudio)
Instructor: Colin Beam
Date: Monday, September 22
Time: 12:30PM to 1:20PM
Place: Savery 117

This class will teach you how to get started with R using the free text editor 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.

Introduction to SPSS
Instructor: Shin Lee
Date: Monday, September 22
Time: 1:30PM to 2:20PM
Place: Savery 117

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. I'll show you both GUI (drop-down menus) and Syntax usage of the SPSS package.

Introduction to SAS
Instructor: Tina Tian
Date: Monday, September 22
Time: 2:30PM to 3:20PM
Place: Savery 121

In this beginners' class, I'll demonstrate basic features of SAS and some data analysis procedures in SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; as well as some statistical procedures for regression analysis, such as general linear model and logistic regression.

Dissertation Publishing Tricks
Instructor: Dixielynn Gleason
Date: Tuesday, September 23
Time: 9:30AM to 10:20AM
Place: Savery 117

This lecture will help you format your thesis/dissertation to conform with the UW and ProQuest guidelines.

Introduction to GIS
Instructor: Will Brown
Date: Tuesday, September 23
Time: 10:30AM to 11:20AM
Place: Savery 117

This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using a widely used GIS software package, ArcGIS and freely available data sets.

Introduction to EViews
Instructor: Austin Gross
Date: Tuesday, September 23
Time: 1:00PM-1:50PM
Place: Savery 117

EViews is a statistical package for time-series and econometric analysis. This hour, I'll introduce you to the functions of loading and manipulating data, as well as running regressions.

Introduction to GAUSS
Instructor: Erica Clower
Date: Tuesday, September 23
Time: 2:00PM to 2:50PM
Place: Savery 117

This basic GAUSS training session is aimed at introducing all the necessities to begin working in GAUSS. Topics covered include installation, efficient navigation of the user interface, and an introduction to the GAUSS programming language. No previous experience in GAUSS is required.


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