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  • Created 05 Nov 2018

This is a completed Faculty Mentoring Network (FMN). FMNs are sustained, immersive, community-based professional development opportunities for faculty. FMNs support the adaptation and implementation of materials and/or instructional approaches in their classrooms. Learn more about FMNs.

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Browse products from this FMN     Visit partner groups for full resource collections

Make TRUBLE

Make Teaching R in Undergraduate Biology Less Excruciating

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Goals

  • develop, implement, and share modules for teaching statistical and biological concepts in R with Swirl, an interactive platform for learning and teaching R in the RStudio console
  • gain access to an existing collection of Swirl courses designed for an undergraduate biostatistics course, as well as user-contributed Swirl lessons developed in this FMN

Mentors


Final Products

Population Demography in Swirl

Emily Weigel

Version: 3.0

The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
data types, assessment, data science, natural history, Concept inventories, bioinformatics, synthetic biology, concept inventory, gene regulation, microRNAs, gene expression, Lab, Teaching material, More than 1 hour
74
30
0
11.06.2019

Optimal Foraging in Swirl

Mary Elizabeth McWhirt, Emily Weigel

Version: 2.0

This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and basic plotting.
introductory, Lab, Online course, Teaching material, Undergraduate, Homework, 1 Hour
46
9
0
10.08.2019

Population Ecology in Swirl: Estimating Population Sizes

Mary E McWhirt, Emily Weigel

Version: 1.0

The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population
R, Swirl, Lab, Teaching material
200
17
0
09.26.2019

Working with Datasets in R swirl

Caitlin Hicks Pries

Version: 1.0

The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise uses an over 100 year time series of climate data.
graphing, RStudio, climate change data, tidyverse, Working with datasets, introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, 1 Hour
150
71
0
05.15.2019
There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a dataset and its p-value are visualized on this distribution.
The Analysis of Biological Data, teaching with technology, Swirl, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, 1 Hour
135
92
0
05.10.2019

Importing Data into R

Rachel Hartnett

Version: 1.0

This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for students to use later to import a table on their own.
teaching with technology, Swirl, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, Less than 1 hour
152
77
0
05.10.2019