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Collecting and analyzing binomial data
17 Jul 2020 | Software (On-site) | 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.
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Swirl
10 Jul 2020 | Software (On-site)
Swirl: Learn R, in R
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Radiant Lite
24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar
Stripped down version of Radiant on QUBES
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Google Charts Example - Bubble
18 May 2018 | Software (On-site)
This is the "bubble" example from Joe Cheng's Google Charts package.
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R Shiny App Example
09 May 2018 | Software (On-site) | Contributor(s): Drew LaMar
This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.
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Principles of Biology BI212, Portland State University
28 Mar 2018 | Teaching & Reference Material | Contributor(s): Daniel J. Ballhorn
The uploaded document is the official of the second section of Principles of Biology (BI212, Winter 2018), Portland State University
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Introduction to Genome Browser: What is a Gene?
21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...
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Introduction to Genome Browser: What is a Gene?
21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...
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Radiant
16 Sep 2015 | Software (On-site)
Business analytics using R and Shiny.
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Citations
27 Jul 2017 | Teaching & Reference Material | Contributor(s): Louise Mead, James Smith, Wendy Johnson, Michael Wiser, Robert Pennock, Amy Lark
We present an inquiry-based curriculum based on the digital evolution platform Avida-ED (http://avida-ed.msu.edu). We designed an instructional sequence and lab book consisting of an introduction to Avida-ED and a set of three lessons focused on specific evolutionary concepts. These served to...
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Avida-ED Lab Book Summer 2017
27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser
The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection)
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Avida-ED Lab Book Summer 2017
27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser
The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection)
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Avida-ED Lab Book Summer 2017
27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser
The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection)
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IMMERSION Video
27 Jul 2017 | Teaching & Reference Material | Contributor(s): Alondra Torres-Navarro
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QUBES – A virtual synthesis center catalyzing change in undergraduate quantitative biology education
06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan
This resource has been updated - find the current version here: https://qubeshub.org/publications/198Presentation about QUBES given at HHMI Constellation Meeting: Advancing science students mastery of quantitative skills.
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Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship
06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Kristin Jenkins, Alison N Hale, Gabriela Hamerlinck
This resource has been updated - find the current version here: https://qubeshub.org/publications/199NGSS, AP Biology, and Vision & Change all highlight the importance of quantitative skills to understanding biology. The Quantitative Undergraduate Biology Education and Synthesis (QUBES,...
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Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education
06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Jeremy M Wojdak, Kristin Jenkins
This resource has been updated - find the current version here: https://qubeshub.org/publications/205/Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design...
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Reimagining professional development: Faculty mentoring networks as a model for connecting projects and teachers
13 Mar 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan
This resource has been updated - find the current version here: https://qubeshub.org/publications/206The Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is working to design, implement, and assess online collaborative communities that promote teaching scholarship....
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Pokemon Go and Ecology
17 Feb 2017 | Teaching & Reference Material | Contributor(s): Elizabeth C Davis-Berg, Joshua Drew, Stephanie Sardelis <stephanie.sardelis@gmail.com>
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/787These are resources associated with using Pokemon Go to teach concepts in Ecology. They can be used from Introductory non-majors classes up through graduate classes.
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Mathematical models and theorems
01 Feb 2017 | Teaching & Reference Material | Contributor(s): Winfried Just
In this module we introduce and compare various types of deterministic and stochastic mathematical models of disease transmission. We then illustrate how one can derive predictions of these models in the form of mathematical theorems.Level: Advanced undergraduate and graduate students of...