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Tags: Faculty

All Categories (1-20 of 29)

  1. Earth Analytics in Python Course

    09 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

  2. Writing Clean Code in R Workshop

    09 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

  3. Introduction to Version Control and Git Workshop

    09 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

  4. Get Started With GIS in Open Source Python Workshop

    09 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

  5. Earth Analytics Bootcamp Course

    09 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

  6. Earth Analytics in R Course

    09 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

  7. Lesson VII - Synteny

    08 Sep 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=1

  8. 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/qubesresources/publications/1314/?v=1

  9. Biobyte 4 - The role of data science principles and practices in undergraduate biology

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

    By Sam S Donovan

    University of Pittsburgh

    This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources,...

    https://qubeshub.org/qubesresources/publications/1390/?v=1

  10. Summer 2019 Biobytes

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

    By Sam S Donovan

    University of Pittsburgh

    This series includes the four Biobytes that were piloted at the 2019 BioQUEST / QUBES Summer Workshop titled, “Evolution of Data in the Classroom: From Data to Data Science”.

    https://qubeshub.org/qubesresources/publications/1391/?v=1

  11. Biobyte 3 - Lab reports as reproducible research

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

    By Sam S Donovan1, Drew LaMar2

    1. University of Pittsburgh 2. College of William and Mary

    This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...

    https://qubeshub.org/qubesresources/publications/1389/?v=1

  12. Biobyte 2 - Exploratory data analysis

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

    By Sam S Donovan

    University of Pittsburgh

    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    https://qubeshub.org/qubesresources/publications/1388/?v=1

  13. NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data­-Driven Teaching Resources

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

    By Kusum Naithani1, Megan A. Jones2, Kristine Grayson3

    1. University of Arkansas 2. National Ecological Observatory Network 3. University of Richmond

    The NEON FMN has been offered for three semesters with 37 faculty participating, resulted in a wide variety of new and adapted modules being publicly available.

    https://qubeshub.org/qubesresources/publications/1387/?v=1

  14. DEHPD 17 Steps in the Hiring Process

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

    By Equity & Diversity in Hiring Process Committee

    Higher Education Institutions in Puget Sound

    A 17 step document created by people from marginalized populations for equity and diversity in hiring.

    https://qubeshub.org/qubesresources/publications/1385/?v=1

  15. Biobyte 1 - Where are we in the data science landscape?

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

    By Sam S Donovan

    University of Pittsburgh

    This short activity can be used to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those...

    https://qubeshub.org/qubesresources/publications/1377/?v=1

  16. Faculty Mentoring Networks for Botany Faculty Professional Development

    23 Jul 2019 | Teaching Materials | Contributor(s):

    By J. Phil Gibson

    University of Oklahoma

    Poster presented at the 2019 Botanical Society of America conference.

    https://qubeshub.org/qubesresources/publications/1363/?v=1

  17. 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/qubesresources/publications/1257/?v=1

  18. Mentoring Pacific Island Students for Conservation

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

    By Noelani Puniwai-Ganoot1, Sharon Ziegler-Chong2, Rebecca Ostertag3, Moana Ulu Ching4, Linnea Heu2, Cherie Kauahi2

    1. University of Hawaii at Manoa 2. University of Hawaii at Hilo 3. University of Hawaii At Hilo 4. Conservation International

    This undergraduate internship program focuses on mentoring Pacific Island Students into conservation careers through development of skills, networks and sense of self, while being grounded in...

    https://qubeshub.org/qubesresources/publications/1132/?v=1

  19. 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/qubesresources/publications/971/?v=1

  20. Introduction to Python for Data Science Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to Python for Data Science Course at DataCamp

    https://qubeshub.org/qubesresources/publications/915/?v=1