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1. Introduction to Probability, Statistics, and Random Processes

   30 Oct 2018 | Teaching Materials | Contributor(s):

   By Hossein Pishro-Nik

   Electrical and Computer Engineering Department, University of Massachusetts

   This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.

   https://qubeshub.org/publications/896/?v=1

2. OpenIntro

   29 Oct 2018 | Teaching Materials | Contributor(s):

   By Divid Diez¹, Chris Barr¹, Mine Çetinkaya-Rundel²

   1. OpenIntro 2. Duke University

   OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.

   https://qubeshub.org/publications/889/?v=1

3. An Introduction to agent-based modeling.

   23 Oct 2018 | Teaching Materials | Contributor(s):

   By Marco A Janssen

   Arizona State University

   Introductory level textbook based on a collection of lecture notes from an undergraduate course on agent-based modeling at Arizona State University.

   https://qubeshub.org/publications/849/?v=1

4. An Introduction to Statistical Learning: with Applications in R

   23 Oct 2018 | Teaching Materials | Contributor(s):

   By Gareth James¹, Daniela Witten², Trevor Hastie³, Robert Tibshirani³

   1. University of Southern California 2. University of Washington 3. Stanford University

   This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

   https://qubeshub.org/publications/847/?v=1

5. Data Analysis for the Life Sciences

   23 Oct 2018 | Teaching Materials | Contributor(s):

   By Rafael A Irizarry¹, Michael I Love¹

   Harvard University

   An online stats book written completely in R

   https://qubeshub.org/publications/841/?v=1

6. Project MOSAIC

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Daniel Kaplan¹, Karl-Dieter Crisman², Nicholas Horton³, Eric Marland⁴, Randall Pruim⁵

   1. Macalester College 2. Gordon College 3. Amherst College 4. Appalachian State University 5. Calvin College

   Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.

   https://qubeshub.org/publications/825/?v=1

7. Cell Biology by the Numbers

   18 Oct 2018 | Teaching Materials | Contributor(s):

   By Ron Milo¹, Rob Phillips²

   1. Weizmann Institute of Science 2. California Institute of Technology

   Vignettes that reveal how numbers serve as a sixth sense to understanding our cells

   https://qubeshub.org/publications/819/?v=1

8. Sample NetLogo Code of Bacterial Growth

   01 Oct 2018 | Teaching Materials | Contributor(s):

   By Anne Elizabeth Yust

   The New School

   Each NetLogo file is a sequential version of the final bacterial growth model produced in the Bacterial Growth Tutorial. These are to be used as checks to one's understanding alongside the tutorial.

   https://qubeshub.org/publications/800/?v=1

9. Cookbook for R

   11 Sep 2018 | Teaching Materials | Contributor(s):

   By Winston Chang

   The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

   https://qubeshub.org/publications/780/?v=1

10. Mathematics for Biologists Problem Workbook

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Juergen Gerlach

    Radford University

    This is a workbook of solved problems created by Dr. Juergen Gerlach at Radford University

    https://qubeshub.org/publications/748/?v=1

11. Assessment of Science Inquiry

    17 Jan 2018 | Teaching Materials | Contributor(s):

    By Sabra Lee, George Hein

    Resource from the 2015 BioQUEST Summer Workshop

    https://qubeshub.org/publications/313/?v=1

12. Talent is Overrated: What Really Separates World-Class Performers from Everybody Else

    Collections | 21 Jun 2016 | Posted by Timothy John Beaulieu

    https://qubeshub.org/community/groups/calculus/collections/text-books

13. simpleR - Using R for Introductory Statistics

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/teaching_r/collections/books-about-using-r

14. Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models

    out of 5 stars 

    26 Feb 2016 | | Contributor(s):: William Wimsatt, Jeff Schank

    This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.

15. simpleR - Using R for Introductory Statistics

    Collections | 29 Jan 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/resources-for-r

16. Data Analysis for the Life Sciences

    out of 5 stars 

    25 Sep 2015 | | Contributor(s):: Rafael A Irizarry, Michael I Love

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/841An online stats book written completely in R!From the authors:"Data analysis is now part of practically every research project in the life sciences. In this...

17. The Analysis of Biological Data: textbook and website

    out of 5 stars 

    23 Sep 2015 | | Contributor(s):: Michael Whitlock, Dolph Schluter

    The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data....

18. An introduction to agent-based modeling.

    out of 5 stars 

    02 Aug 2015 | | Contributor(s):: Marco A Janssen

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/849This is a textbook at an introductory level suitable for undergraduates, provided by Marco Janssen. From the book's Preface: This textbook...

19. An Introduction to Statistical Learning: with Applications in R

    out of 5 stars 

    10 Jul 2015 | | Contributor(s):: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

    This resource has been updated - find the current version here:https://qubeshub.org/qubesresources/publications/847From the book website:This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students,...

20. How People Learn: Brain, Mind, Experience & School

    Collections | 28 Jun 2015 | Posted by Sam S Donovan

    https://qubeshub.org/community/groups/bioquest/collections/bqcc-recommended-readings