Free Non-credit Courses Descriptions

Winter 2014 

Format Your Thesis The Fun and Easy Way!
This lecture will help you format your thesis/dissertation to conform with the UW Graduate School Style and Policy Guidelines for Theses and Dissertations.
Instructor:  Dixielynn Gleason
Date:       Monday, January 13
Time:        9:30AM to10:30AM
Place:       Savery 121

Introduction to R
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.
Instructor: Colin Beam
Date:       Tuesday, January 14
Time:        2:00PM to 3:00PM
Place:       Savery 117

Introduction to Stata
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:  Austin Gross
First Session
Note: This session is now full.
Date:       Thursday, January 16
Time:        5:00PM to 6:00PM
Place:       Savery 117

Second Session
Date:       Thursday, January 23
Time:        4:00PM to 5:00PM
Place:       Savery 121

Graphics in R
This class explores creating visualizations from scratch in base, lattice, and tile packages. We explore various resources for finding existing code examples, discuss the pros and cons of each package, and then work through a few examples in each package.  Users are expected to have some existing knowledge of R.
Instructor:  Kristan Seibel
Date:       Friday, January 24
Time:        1:30PM to 2:30PM
Place:       Savery 121

Introduction to SAS
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, including both general linear model and logistic regression.
Instructor:  Tina Tian
Date:       Friday, January 14
Time:        2:30PM to 3:300PM
Place:       Savery 121

Introduction to SPSS
This class is best for people who have little to no experience with SPSS. We will go over how to begin using SPSS-- how to read in data, how to explore and transform your variables, and some examples of simple data analysis and graphing. 
Instructor:  Stephanie Lee
Date:       Tuesday, January 28
Time:        12:00PM to 1:00PM
Place:       Savery 121

Survival Analysis in SAS
This course is a hands-on introduction to the survival analysis tools in SAS. Topics covered will include life tables (LIFETEST), parametric models (LIFEREG), and the semi-parametric Cox proportional hazards model (PHREG).
Instructor:  Dr. Darryl Holman
Date:       Friday, January 31
Time:        2:30PM to 3:30PM
Place:       Savery 121

Introduction to GIS
This course will provide students with a broad overview of what geographic information systems (GISs) are and what social scientists stand to gain by conducting their research in GIS environments.  Students will explore basic GIS concepts through simple hands-on exercises in a widely used GIS environment, ESRI’s ArcGIS, using freely available GIS datasets.
Instructor:  Will Brown
Date:       Monday, February 3
Time:        10:00AM to 11:00AM
Place:       Savery 121

Multi-Level Modeling in R
This seminar will give a very brief introduction to the multilevel modeling capabilities of R. Students should understand the basics of multilevel modeling. The focus will be on the code used to implement a basic two-level linear model in R.
Instructor:  Joe King
Date:       Monday, February 3
Time:        4:00PM to 5:00PM
Place:       Savery 121


Introduction to Qualitative Research using Atlas.ti and Dedoose
This class covers the criteria for choosing a qualitative data analysis software package and includes a hands-on demo of two of those programs: Atlas.ti 7 and Dedoose. We will go over terminology, importing documents, coding data (text and other media types) and visual analysis. We will learn best practices for project management, how to backup and share your files and other tips for staying organized.
Instructor:  Val Petrova
Date:       Tuesday, February 4
Time:        4:00PM to 5:00PM
Place:       Savery 121


Introduction to Wordpress
This seminar will give a very brief introduction to Wordpress.  Covered topics will include: installing, configuring, Adding Themes, Plugins, navigating the dashboard and adding content and media.
Instructor:  Val Petrova
Date:       Friday, February 21
Time:        8:00AM to 9:00AM
Place:       Savery 121


Intermediate SPSS
The course will be a brief review of basic SPSS usage (data input, selection, recoding, descriptive analysis), and then we will look at correlation and regression analysis. I’ll show you both GUI (drop-down menus) and Syntax usage of the SPSS package.
Instructor:  Shin Lee
Date:       Friday, February 28
Time:        2:00PM to 3:00PM
Place:       Savery 121

 

University of Washington Terms and Conditions of Use

Send mail to Darryl Holman with questions or comments about this web site.
Last modified: September 25, 2013

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University of Washington Terms and Conditions of Use

Send mail to Darryl Holman with questions or comments about this web site.
Last modified: September 25, 2013