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Tags: Teaching material

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Teaching material

All Categories (1-20 of 803)

  1. Lesson V - Phylogenetics

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

    By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3

    1. Georgetown University 2. Gallaudet University 3. Cabrini University

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson V is an introduction to Phylogenetics.

    https://qubeshub.org/qubesresources/publications/858/?v=2

  2. Lesson VII - Synteny

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

    By Gaurav Arora1, Anne Rosenwald2, Vinayak Mathur3

    1. Gallaudet University 2. Georgetown University 3. Cabrini University

    The lesson teaches about synteny or the order of genes along a chromosome, which is useful for looking at orthologous genes between two species or strains.

    https://qubeshub.org/qubesresources/publications/1414/?v=2

  3. Inclusive Pedagogy for Life Science Education Tagging Ontology

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

    By Carrie Diaz Eaton1, Sharon Rivera2, Bryan Dewsbury3

    1. Bates College and QUBES 2. Tacoma Community College 3. University of Rhode Island

    Inclusive Pedagogy for Life Science Education Tagging Ontology

    https://qubeshub.org/qubesresources/publications/1444/?v=1

  4. Earth Analytics in Python Course

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

    By Leah Wasser, Jenny Palomino, Chris Holdgraf1

    University of California - Berkeley

    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/qubesresources/publications/1437/?v=1

  5. Get Started With GIS in Open Source Python Workshop

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

    By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1

    Earth Lab - University of Colorado, Boulder

    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

    https://qubeshub.org/qubesresources/publications/1441/?v=1

  6. Introduction to Version Control and Git Workshop

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

    By Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

    https://qubeshub.org/qubesresources/publications/1443/?v=1

  7. 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/qubesresources/publications/1442/?v=1

  8. Introduction to Earth Data Science Textbook

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

    By Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    https://qubeshub.org/qubesresources/publications/1440/?v=1

  9. Earth Analytics in R Course

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

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/qubesresources/publications/1439/?v=1

  10. Earth Analytics Bootcamp Course

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

    By Jenny Palomino1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    https://qubeshub.org/qubesresources/publications/1438/?v=1

  11. Lesson IV - Comparative Genomics

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

    By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3

    1. Georgetown University 2. Gallaudet University 3. Cabrini University

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson IV, Comparative Genomics, discusses some of the tools...

    https://qubeshub.org/qubesresources/publications/857/?v=2

  12. Lesson III - Annotation

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

    By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3

    1. Georgetown University 2. Gallaudet University 3. Cabrini University

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all...

    https://qubeshub.org/qubesresources/publications/856/?v=2

  13. Optimal Foraging in Swirl

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

    By Mary Elizabeth McWhirt1, Emily Weigel1

    Georgia Institute of Technology

    This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and...

    https://qubeshub.org/qubesresources/publications/1213/?v=2

  14. Altruism Simulation Activity

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

    By Nicole Chodkowski

    Radford University

    An altruism activity that uses a NetLogo altruism simulation.

    https://qubeshub.org/qubesresources/publications/1431/?v=1

  15. BioSkills Guide

    30 Sep 2019 | Teaching Materials | Contributor(s):

    By Alexa Clemmons1, Jerry Timbrook2, Jon Herron1, Alison Crowe1

    1. University of Washington 2. University of Nebraska-Lincoln

    The BioSkills Guide comprises program- and course-level learning outcomes that elaborate what general biology majors should be able to do by the time they graduate.

    https://qubeshub.org/qubesresources/publications/1305/?v=4

  16. Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data

    30 Sep 2019 | Teaching Materials | Contributor(s):

    By Kaitlin Stack Whitney

    Rochester Institute of Technology

    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.

    https://qubeshub.org/qubesresources/publications/1429/?v=1

  17. Modeling the lac Operon to Understand the Regulation of Gene Expression in Prokaryotes

    27 Sep 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    This resource is a recitation activity designed for an introductory biology course in which students explore a lac operon simulation (https://qubeshub.org/resources/phetlacoperon).

    https://qubeshub.org/qubesresources/publications/1427/?v=1

  18. Population Demography in Swirl

    26 Sep 2019 | Teaching Materials | Contributor(s):

    By Emily Weigel

    Georgia Institute of Technology

    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

    https://qubeshub.org/qubesresources/publications/1214/?v=2

  19. Population Ecology in Swirl: Estimating Population Sizes

    26 Sep 2019 | Teaching Materials | Contributor(s):

    By Mary E McWhirt, Emily Weigel1

    Georgia Institute of Technology

    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    https://qubeshub.org/qubesresources/publications/1353/?v=1

  20. Variance Tutorial

    11 Sep 2019 | Teaching Materials | Contributor(s):

    By Claudia Neuhauser1, David Phillip Schladt2

    1. University of Houston 2. University of Minnesota

    Numbers Count Excel resource

    https://qubeshub.org/qubesresources/publications/1417/?v=1