Tags: course

Teaching & Reference Material (1-20 of 20)

  1. Introduction to Probability, Statistics, and Random Processes

    07 Nov 2016 | | Contributor(s):: Hossein Pishro-Nik

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/896Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access...

  2. Free Introduction to Python for Data Science Course at DataCamp

    06 Nov 2016 | | 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...

  3. Free Introduction to R Course at DataCamp

    06 Nov 2016 | | 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...

  4. DataCamp

    06 Nov 2016 | | 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...

  5. Course materials for computational genomics using R

    19 Nov 2015 | | Contributor(s):: Hong Qin

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/907The R code and data are deposited at Github: https://github.com/hongqin/RCompBio 

  6. Integrating student research projects into mathematical biology courses

    21 Oct 2015 | | Contributor(s):: Elissa Schwartz

    This resource has been updated - find the current version here: https://qubeshub.org/publications/256Interdisciplinary mathematical biology courses have particular challenges. Specific teaching methods are necessary in order to engage students with varying levels of competency in mathematics...

  7. Modernizing Statistics Education via Biology Applications

    21 Oct 2015 | | 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...

  8. IQS 2.0: A Modularized Integrated Math and Science Course

    21 Oct 2015 | | Contributor(s):: Lester Caudill

    This resource has been updated - find the current version here: https://qubeshub.org/publications/252For the past several years, the University of Richmond has offered an Integrated Quantitative Science (IQS) course, integrating introductory courses in five math and science disciplines, to...

  9. Using Online Materials/Videos to Enrich Linear Algebra for Scientists

    21 Oct 2015 | | Contributor(s):: Sarah Hews

    This resource has been updated - find the current version here: https://qubeshub.org/publications/250Linear algebra is an important course for biology majors but it is usually designed for math majors (emphasizing proofs) or engineers (focusing more on matrix algebra and algorithms)....

  10. Modelling and simulation: helping students acquire this skill using a Stock and Flow approach with MathBench

    20 Oct 2015 | | Contributor(s):: Istvan Karsai, Katerina V. Thompson, Kären C. Nelson

    Computational and modelling skills are vital to most fields of biological research, yet traditional biology majors have no or little opportunity to develop these skills during their undergraduate education. We describe an approach, which can address this issue by a synergy of...

  11. SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

    20 Oct 2015 | | Contributor(s):: Brian Winkel

    SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations  is about teaching differential equations using modeling and technology upfront and throughout the learning process. You can learn more at our dynamic website, www.simiode.org, where we...

  12. Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology

    27 Sep 2015 | | Contributor(s):: Borbala Mazzag, Kamila Larripa

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/906DescriptionThe course is a mathematical and computational exploration of five diverse areas of biology: human locomotion, gene sequence analysis, signal transduction...

  13. An introduction to agent-based modeling.

    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...

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

    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,...

  15. Discrete Math Modeling with Biological Applications (Course Materials)

    29 Jun 2015 | | Contributor(s):: Erin N. Bodine

    This resource has updated versions:Version 1.0 (2018) https://qubeshub.org/qubesresources/publications/749/1Version 2.0 (2019) https://qubeshub.org/qubesresources/publications/749/2 -- This version no longer has the Agent-Based Modeling materialsThese are the...

  16. Effects of Laptop Use on Student Learning

    20 Jun 2015 | | Contributor(s):: Tony Weisstein

    This resource has been updated - find the current version here: https://qubeshub.org/publications/312Verbal and graphical/quantitative data from two studies of how laptop use affects student learning. I show and discuss these slides at the start of each semester to explain my no-laptop...

  17. Numbers Count!: Calculus 2 course

    28 Mar 2015 | | Contributor(s):: Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/751Based upon the University of Minnesota Bachelor's of Science in Health Science calculus curriculum (part 2), this course  introduces linear transformations,...

  18. Numbers Count!: Statistics course

    28 Mar 2015 | | 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. 

  19. OpenIntro

    24 Jan 2015 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/889OpenIntro was started with one goal in mind: create a free and open-source introductory textbook. The mission of OpenIntro is to make educational products that...

  20. CATALST - Change Agents for Teaching and Learning Statistics

    22 Jan 2015 | | Contributor(s):: Joan Garfield, Robert delMas, Andrew Zieffler, Allan Rossman, Beth Chance, John Holcomb, George Cobb

    From the project website: "This project uses the acronym CATALST (Change Agents for Teaching and Learning Statistics) to represent the goal of accelerating change in the teaching and learning of statistics. The changes we are working towards are in both content and pedagogy. Our focus is the...