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    Analyzing current and past climate data (Project EDDIE)
    Students analyze current and past temperature and CO2 data to relate current climate change to climate of the past 450,000 years. Objectives: Are global temperatures and CO2 levels rising? How...
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    Seismology Lab (Project EDDIE)
    OBJECTIVES: • Differentiate P-waves from S-waves • Learn to identify body and surface waves on a seismic record • Learn how seismic waves change as you move away from the epicenter • Use...

    Keywords: Project EDDIE

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    Earth Analytics in Python Course
    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...
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    Genome Solver: Complete Set of Lessons
    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating...
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    Get Started With GIS in Open Source Python Workshop
    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...
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    Writing Clean Code in R Workshop
    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.
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    Earth Analytics in R Course
    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...
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    Earth Analytics Bootcamp Course
    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...
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    Summer 2019 Biobytes
    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”.
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    Biobyte 3 - Lab reports as reproducible research
    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...

    Keywords: data sciencedsube

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    Biobyte 2 - Exploratory data analysis
    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...

    Keywords: data sciencedsube

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    Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Recent Activities
    Presentation on NIBLSE at the 2019 Great Lakes Bioinformatics Conference
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    Answer Checking - Modified for Environmental Data Analysis/Statistics Course
    Modified answer checking worksheet from original BIOMAAP resource to include two additional questions relating to probability/P-values.
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    Passion-Driven Statistics
    E-book in .pdf format and customizable .iba format

    Keywords: statisticstextbook

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    Introduction to Growth Mindset
    This module introduces students to the research supporting ‘growth mindset,’ the idea that you can increase your brainpower and ability through effort
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    Exam Reflective Writing Activities (4 different prompts)
    This is an extended version of Reflective Writing activities to use before 4 different exams.

    Keywords: reflective writing

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    Reflective Writing - 2-page handout & Teaching Notes
    This activity introduces the research showing a benefit of reflective writing, and then uses a modified version of the prompt from Park et al. to provide practice. Includes Teaching Notes.
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    Intro to BIOMAAP - Student Introduction - Teaching Notes
    I used this resource as-is. Included are my teaching notes.
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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Lesson I - Introduction to Genome Solver
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Part I is the Introduction to the Genome Solver Project.
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