QUBES - Resources: All

This app draws on a large species-level dataset with metabolic, life history, and ecological traits of most living and recently extinct mammal species. Users can select and plot traits, fit linear models to the data, and query displayed datapoints.

Modeling the Mechanisms of Evolution

0.0 out of 5 stars

25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes

Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.

Avida-ED

0.0 out of 5 stars

06 Oct 2017 | Software (Off-site) | Contributor(s): Robert T Pennock, Diane Blackwood

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/874Avida-ED is an award-winning educational application developed at Michigan State University...

Radiant

0.0 out of 5 stars

16 Sep 2015 | Software (On-site)

Business analytics using R and Shiny.

Citations

0.0 out of 5 stars

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...

Avida-ED Lab Book Summer 2017

0.0 out of 5 stars

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)

Free Introduction to Python for Data Science Course at DataCamp

0.0 out of 5 stars

06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

Free Introduction to R Course at DataCamp

0.0 out of 5 stars

06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

DataCamp

0.0 out of 5 stars

06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

DataCamp

0.0 out of 5 stars

06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

50 years of Data Science

0.0 out of 5 stars

23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

50 years of Data Science

0.0 out of 5 stars

23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

Modernizing Statistics Education via Biology Applications

0.0 out of 5 stars

21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

Modernizing Statistics Education via Biology Applications

0.0 out of 5 stars

21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

Population Genetics: When Darwin Met Mendel - Crash Course Biology

3.5 out of 5 stars

03 Oct 2015 | Teaching & Reference Material | Contributor(s): CrashCourse

This Youtube video talks about population genetics, which helps to explain the evolution of populations over time by combing the principles of Mendel and Darwin, and by means of the Hardy-Weinberg equation, all in an upbeat, modern and somewhat zany manner.

Using Evolutionary Data in Developing Phylogenetic Trees: A Scaffolded Approach with Authentic Data

0.0 out of 5 stars

01 Oct 2015 | Teaching & Reference Material | Contributor(s): Kd Davenport, Kirsten Jane Milks, Rebecca Van Tassell

Analyzing evolutionary relationships requires that students have a thorough understanding of evidence and of how scientists use evidence to develop these relationships. In this lesson sequence, students work in groups to process many different lines of evidence of evolutionary relationships...

Home