GEOG 495 C: Special Topics

Summer 2025 Full-term
Meeting:
to be arranged / * *
SLN:
14110
Section Type:
Lecture
"ADVENTURES IN R FOR POPULATION SCIENCE" THIS COURSE WILL COUNT FOR GMS TRACK. WHEN FULL USE ONLY NOTIFYUW FOR SPACE NOTIFICATIONS.
Syllabus Description (from Canvas):

Geography 495 C        ADVENTURES IN R FOR POPULATION SCIENCE                    

Summer 2025 Full-Term                     Offered Asynchronously                                        SLN: 14110

Professor Suzanne Davies Withers     swithers@uw.edu      

Course Description

In this course we will explore the power of R in Population Science. R is an open-source programming language that provides a suite of tools for data wrangling, statistical computation, spatial analysis, graphics and visualization. We will begin with the fundamentals of data science, R programming, and managing population data, then venture into the field of population science with a focus on applications in the study of fertility, mortality, and population health. Students will learn to apply a selection of R suites to population science concerns. The emphasis throughout the course is on the application of data science to understand demographics and population health.   

Prerequisites: No prior experience with R is required, but some experience with programming would be beneficial.

Learning Objectives

The course is designed for you to develop:

  • An understanding of the R environment for population data science
  • Experience downloading typical population data sources
  • Experience using R for data wrangling
  • An appreciation for R suites commonly used in population science research
  • The use of R as a GIS, and integrating R with other geographic information systems
  • The art and science of transforming data into actionable knowledge and decision-making

Assessment

Assessment in this course predominantly will be related to weekly assignments that provide the opportunity to apply R packages to analyze population health data. At the end of the course, students will also design and apply a small independent study to display their mastery of the course content.

Catalog Description:
Topics vary and are announced in the preceding quarter.
GE Requirements Met:
Social Sciences (SSc)
Credits:
5.0
Status:
Active
Last updated:
April 12, 2025 - 6:26 pm