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Tags: introductory

Resources (81-100 of 440)

  1. COVID-19 educational module | Department of Mathematics

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

    By Glenn Ledder

    University of Nebraska Lincoln

    This resource is a module you can use to teach your students the basics of epidemic behavior using a model geared specifically to Covid-19. Students can address key questions using pre-designed...

    https://qubeshub.org/publications/1802/?v=1

  2. COVID-19 Simulator (ISEE) Module

    20 Mar 2020 | Teaching Materials | Contributor(s):

    By Sarah Hews

    Amherst College

    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs), construct...

    https://qubeshub.org/publications/1775/?v=1

  3. COVID-19: On the way to a vaccine

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

    By Nik Tsotakos

    Penn State Harrisburg

    This multi-part case study introduces the reader to the SARS-CoV-2 virus origins, the molecular basis of the infection, the development and severity of symptoms, and treatment.

    https://qubeshub.org/publications/1918/?v=1

  4. Creating Phylogenetic Trees from DNA Sequences

    22 Jul 2020 | Teaching Materials | Contributor(s):

    By HHMI BioInteractive

    This interactive module shows how DNA sequences can be used to infer evolutionary relationships among organisms and represent them as phylogenetic trees.

    https://qubeshub.org/publications/1999/?v=1

  5. CRISPR Gene Editing: Designing the gRNA and Donor Template

    15 Jul 2020 | Teaching Materials | Contributor(s):

    By Laurel Lorenz

    Princeton

    In this adaptation, students learn how CRISPR/Cas9 is used in bacterial immunity and gene editing. Students create both a gRNA target and a donor template to edit a gene. Mutations can be from the...

    https://qubeshub.org/publications/1962/?v=1

  6. Data Analysis and Cancer

    18 Dec 2019 | Teaching Materials | Contributor(s):

    By Lynn Marie Diener

    Mount Mary University

    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis...

    https://qubeshub.org/publications/1559/?v=1

  7. Data Ethics

    19 Mar 2020 | Teaching Materials | Contributor(s):

    By Rebecca Renirie

    Central Michigan University

    Data ethics and the use of digital data

    https://qubeshub.org/publications/1765/?v=1

  8. Data is the New Science

    12 Apr 2019 | Teaching Materials | Contributor(s):

    By Anna Monfils1, Debra Linton1, Libby Ellwood2, Molly Phillips3

    1. Central Michigan University 2. iDigBio 3. iDigBio, Florida Museum of Natural History, University of Florida

    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...

    https://qubeshub.org/publications/1138/?v=1

  9. Data is the New Science - Modified and combined with Following the Data Module

    10 Jan 2020 | Teaching Materials | Contributor(s):

    By Darlene Panvini

    Belmont University

    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...

    https://qubeshub.org/publications/1735/?v=1

  10. Data management and introduction to QGIS and RStudio for spatial analysis

    22 May 2020 | Datasets | Contributor(s):

    By Meghan Graham MacLean

    University of Massachusetts Amherst

    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...

    https://qubeshub.org/publications/1858/?v=1

  11. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    19 Jun 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...

    https://qubeshub.org/publications/347/?v=3

  12. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    17 Apr 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...

    https://qubeshub.org/publications/347/?v=2

  13. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    19 Feb 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...

    https://qubeshub.org/publications/347/?v=1

  14. Data Nugget Grading Rubrics

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

    By Brenda Witt

    Redlands Community College

    As a supplement to the rubric provided for Data Nugget modules, I created a rubric containing specific point values for individual portions of the module as well as specific guidelines for...

    https://qubeshub.org/publications/296/?v=1

  15. Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment

    19 Mar 2018 | Teaching Materials | Contributor(s):

    By April Torres Conkey

    Texas A&M University-Kingsville

    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...

    https://qubeshub.org/publications/414/?v=1

  16. Data simulation and randomization tests

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

    By James S. Santangelo

    University of Toronto

    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.

    https://qubeshub.org/publications/996/?v=1

  17. Data Visualization

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

    By Anna Monfils

    Central Michigan University

    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.

    https://qubeshub.org/publications/1776/?v=1

  18. Decoding, Critiquing, and Creating a Graph from the Ground Up

    28 Feb 2018 | Teaching Materials | Contributor(s):

    By Kiersten Nicole Newtoff1, HHMI BioInteractive

    Montgomery College

    Students decipher a published graph with little supplemental information and are given more details in pieces before producing a new graph that displays the data more effectively and is easier to...

    https://qubeshub.org/publications/376/?v=1

  19. Demography from “virtual” cemeteries

    19 Jun 2017 | Teaching Materials | Contributor(s):

    By Caroline DeVan

    New Jersey Institute of Technology

    This is an FMN participant modification of the TIEE module "Demography from physical cemeteries, “virtual cemeteries,” and census data" authored by Janet Lanza in 2012.

    https://qubeshub.org/publications/92/?v=1

  20. Dendroclimatology

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

    By Jeremy M Wojdak1, R. S. Maxwell1

    Radford University

    Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...

    https://qubeshub.org/publications/544/?v=2