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Tags: Faculty

All Categories (41-54 of 54)

  1. Passion-Driven Statistics

    03 Jun 2019 | Teaching Materials | Contributor(s):

    By Lisa Dierker

    Wesleyan University

    E-book in .pdf format and customizable .iba format

    https://qubeshub.org/publications/1257/?v=1

  2. Phage Discovery Videos

    05 Aug 2020 | Teaching Materials | Contributor(s):

    By Billy Biederman1, Vic Sivanathan1

    Howard Hughes Medical Institute

    A compilation of videos to support teaching the concepts and protocols for discovering and working with phage.

    https://qubeshub.org/publications/2034/?v=1

  3. REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    https://qubeshub.org/publications/1314/?v=1

  4. S-JEDI Learning Group Resource

    27 Aug 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton1, Jasmine Roberts2, Pat Marsteller3, Maggie Diamond-Stanic4

    1. Bates College and QUBES 2. The Ohio State University 3. Emory University 4. Bates College

    This resource provides a curriculum for a 6 week learning group centered on examining social justice, equity, diversity, and inclusion, specifically geared to organizational leaders in open education.

    https://qubeshub.org/publications/2079/?v=1

  5. 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

  6. Scientist Spotlights and Data Nuggets Workshop Materials (BIOME 2021)

    29 Jul 2021 | Teaching Materials | Contributor(s):

    By Jessica Ashley Allen1, Jennifer Apple2, Karen Groh3, Elizabeth Hamman4, Pratima Jindal5, Pat Marsteller6, Heather Olins7, Darlene Panvini8, Rachel Pigg9, Gustavo Requena Santos10, Merrie Renee Richardson11, Sheela Vemu12, Jennifer Wade13, Suann Yang14

    1. Columbia College 2. SUNY Geneseo 3. Good Samaritan College 4. St Mary's College of Maryland 5. Waubonsee Community College 6. Emory University 7. Boston College 8. Belmont University 9. University of Louisville 10. Science Yourself 11. Southcentral Kentucky Community & Technical College 12. Waubonsee Community College - Tenure Track and Northern Illinois University 13. Massachusetts College of Pharmacy and Health Sciences 14. State University of New York College at Geneseo

    Materials and resources for the "Scientist Spotlights and Data Nuggets Workshop," presented at the 2021 Biology and Mathematics Educators (BIOME) Institute.

    https://qubeshub.org/publications/2496/?v=1

  7. Team microBIOME Fall 2020 - DIY microbiome analysis

    25 Nov 2020 | Teaching Materials | Contributor(s):

    By Davida Smyth1, Alice Tarun2, Christine Girtain3, Melanie Lenahan4, Maira Goytia, Khuanchivin Geena Sompanya5, Theodore Muth6

    1. The New School 2. Alfred State College 3. Toms River Regional School NJ 4. Raritan Valley Community College 5. CUNY 6. CUNY Brooklyn College

    This is our final team report for this year's BIOME Institute 2020. Learn about what we got up to and what we're planning for Spring 2021. If you want more information on REMNet go...

    https://qubeshub.org/publications/2148/?v=1

  8. UDL Mapping Activity

    20 Oct 2021 | Teaching Materials | Contributor(s):

    By Andrew Osborne Hasley1, Hayley Orndorf2

    1. North Carolina State University Biotechnology Program 2. University of Pittsburgh

    This activity guides faculty through analyzing a resource using the Universal Design for Learning Guidelines.

    https://qubeshub.org/publications/2770/?v=1

  9. Use of PeerWise - an open digital question authoring tool

    21 Jun 2018 | Teaching Materials | Contributor(s):

    By Sarah Prescott

    University of New Hampshire

    Session on PeerWise presented at BioQUEST Workshop 2018

    https://qubeshub.org/publications/669/?v=1

  10. Use of Peerwise and Twitter in Open Pedagogy

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

    By Sarah Prescott

    University of New Hampshire

    This presentation will demonstrate the use of two open tools (Peerwise and Twitter) to engage students in creating and discussing course content.

    https://qubeshub.org/publications/804/?v=1

  11. Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling

    23 Apr 2020 | Teaching Materials | Contributor(s):

    By Blaine Marchant

    Stanford University

    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.

    https://qubeshub.org/publications/1819/?v=1

  12. Vertebrate Clade Race

    11 Jun 2020 | Teaching Materials | Contributor(s):

    By David Baum1, Kristin Jenkins2

    1. University of Wisconsin 2. BioQUEST

    This activity introduces basic tree reading skills for evolutionary phylogenies. It is designed as a short group activity. After completing this activity, students should be familiar with basic...

    https://qubeshub.org/publications/1906/?v=1

  13. Working with spreadsheet-style data in Python with pandas and seaborn

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

    By Madeleine Bonsma-Fisher

    University of Toronto

    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    https://qubeshub.org/publications/971/?v=1

  14. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/publications/1442/?v=1