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Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
23 Jun 2021 | Teaching Materials | Contributor(s):
By Angie Hilliker1, Kristine Grayson1
University of Richmond
Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
By Kristine Grayson1, Angie Hilliker1
Making Predictions with Linear Models: A Murder Mystery Case Study
31 May 2021 | Teaching Materials | Contributor(s):
By Miranda Chen Musgrove
University of Colorado, Boulder
This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.
BS Inventory assignment
10 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.
Module 6: Alternative Splicing
25 Jul 2020 | Teaching Materials | Contributor(s):
By Leocadia Paliulis1, Anne Rosenwald2
1. Bucknell University 2. Georgetown University
This module explores how multiple different mRNAs and polypeptides can be encoded by the same gene. After completing this module students will be able to explain how alternative splicing of a gene...
Module 4: Removal of Introns from pre-mRNA by Splicing
By Meg Laakso1, Anne Rosenwald2
1. Eastern University 2. Georgetown University
In this module, students will learn to identify splice donor and acceptor sites that are best supported by RNA-Seq data, and use the canonical splice donor and splice acceptor sequences to identify...
Module 2: Transcription Part I: From DNA Sequence to Transcription Unit
By Maria Santisteban1, Alexa Sawa2
1. University of North Carolina - Pembroke 2. College of the Desert
This module illustrates how a primary transcript (pre-mRNA) is synthesized using a DNA molecule as the template. Students will learn about the importance of the 5' and 3' regions of the gene for...
Collecting and analyzing binomial data
out of 5 stars
17 Jul 2020 | | Contributor(s):: Suann Yang, Darcy Taniguchi, Jenny Hazlehurst
In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.
Coding Club: A Positive Peer-Learning Community
22 Apr 2020 | Teaching Materials | Contributor(s):
By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1
University of Edinburgh
Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
23 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils
Central Michigan University
This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
Communicating with Data: Digital Data Resources
22 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Debra Linton1
Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
Get Started With GIS in Open Source Python Workshop
15 Oct 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1
Earth Lab - University of Colorado, Boulder
There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
Writing Clean Code in R Workshop
By Max Joseph1, Leah Wasser
When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
Introduction to Earth Data Science Textbook
By Jenny Palomino, Leah Wasser
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
Earth Analytics in R Course
By Leah Wasser
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Earth Analytics Bootcamp Course
By Jenny Palomino1, Leah Wasser
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...