Special Topics in Environmental Sciences (390-0-03)

Topic

R Data Science

Instructors

Gordon Parran Smith

Meeting Info

Technological Institute F285: Mon 3:00PM - 4:50PM

Overview of class

In this course we will explore the fundamentals and best practices in data science using the open-source tool R, building a foundation in the necessary coding and statistical analysis skills required to examine data of all types. While this class is designed to serve as an introduction to these topics for biologists and environmental scientists, the foundations and applications taught are intended to be relevant to students with more experience as well. Class activities will include a mix of lectures, hands-on coding assignments, discussions, and independent projects using data applicable to students' interests.

Registration Requirements

There are no prerequisites for this course.

Learning Objectives

After participating in this course, students will be able to:

Relate fundamental theory and concepts in ecology to real-world problems in our changing world
Evaluate published evidence of the challenges currently being faced by diverse species and examine the social impacts of these challenges
Explain the larger context and likely outcomes of these challenges to scientific audiences and the public

Class Materials (Required)

A laptop is necessary to complete class activities. No textbook required.

Associated Classes

LAB - Technological Institute F285: Wed 3:00PM - 4:50PM