Open science, open data, open source projects for undergraduate research experiences

17 Jun 2015 | Teaching & Reference Material | Contributor(s): Kam Dahlquist

This resource has been updated - find the current version here: https://qubeshub.org/publications/314Description:In this workshop, I will demonstrate a suite of open source tools that students use in my courses to conduct original research in my courses.  In a team-taught, cross-listed...

Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom

15 Jun 2015 | Teaching & Reference Material | Contributor(s): Mark Bray

This resource has been updated - find the current version here: https://qubeshub.org/publications/315Date & Time:Saturday, June 13 @ 2PM & Sunday June 14, @2PMDescription: In this session, I will introduce the open-source and freely-available software package CellProfiler,...

Quantitative reasoning: Interdisciplinary STEM 21st century reasoning modality

14 Jun 2015 | Teaching & Reference Material | Contributor(s): Robert Lee Mayes

This resource has been updated - find the current version here: https://qubeshub.org/publications/316Date & Time:Wednesday, June 17 @ 9AMDescription:The Next Generation Science Standards (NGSS 2013) and the Common Core State Standards for Mathematics (NGA 2010) call for improving...

Undergraduate Research Experiences in Computational Science at a Community College

13 Jun 2015 | Teaching & Reference Material | Contributor(s): Tony Sena

This resource has been updated - find the current version here: https://qubeshub.org/publications/320We will present our experiences doing undergraduate research in the area of parallel computing and distributed systems on a multidisciplinary environment with STEM students. We show that...

Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering

10 Jun 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, John R Jungck

This resource has been updated - find the current version here: https://qubeshub.org/publications/321Additional resources for:"Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering" by John R. JungckDate and Time:...

A Quick Guide to Teaching R Programming to Computational Biology Students

03 Jun 2015 | Teaching & Reference Material | Contributor(s): Stephen Eglen

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/838An introduction from an experienced educator in teaching R to computational biology graduate students. Contains information that is relevant for the undergraduate classroom...

BioRadiant

19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

Interactive statistics package using R and Shiny.

BioRadiant

19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

Interactive statistics package using R and Shiny.

Statistical Power for One-Sample t-Test

18 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

Interactive visualization of statistical power for a one-sample t-test.

Statistical Power for One-Sample t-Test

18 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

Interactive visualization of statistical power for a one-sample t-test.

R for biologists

18 May 2015 | Teaching & Reference Material | Contributor(s): Marco Martinez

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/815An introductory guide to data analysis in R for life sciences researchers.

Ecology and Epidemiology in R

09 May 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/837

A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

Linear models and linear mixed effects models in R: Tutorial 1

24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

Linear models and linear mixed effects models in R: Tutorial 1

24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

AIM-UP! Coal balls lesson

28 Mar 2015 | Teaching & Reference Material | Contributor(s): Monte Garroutte, Jordan Metzgar, Hirotsugu Mori

This resource has been updated - find the current version here: https://qubeshub.org/publications/334In this activity, students learn about ancient plant life and climate change by examining coal balls. In addition to the lesson itself, information is provided on where to purchase coal ball...

Numbers Count!: Statistics course

28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application. 

Java Applets for Power and Sample Size

10 Mar 2015 | Software (Off-site) | Contributor(s): Russell Lenth

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/899From the website:This software is intended to be useful in planning statistical studies.  It is not intended to be used for analysis of data that have already been...

Workshop Statistics: Discovery with Data, A Bayesian Approach

25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman

From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...