Data Carpentry lesson from Ecology curriculum to learn how to analyse and …
Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in R. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with ecology data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.
Word Count: 33894 (Note: This resource's metadata has been created automatically by …
Word Count: 33894
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
The Icebergs Project is a National Science Foundation sponsored partnership between University …
The Icebergs Project is a National Science Foundation sponsored partnership between University of Oregon’s research team lead by Dr. David Sutherland and 7th grade teachers for Eugene School District 4J’s Arts and Technology Academy Middle School, along with support from University of Oregon’s STEM CORE, a STEM education center. Over the course of several years teachers and scientists co-planned, revised, and carried out a research-connected cross-disciplinary project-based unit culminating in an “Icebergs Field Day” involving all members of the PI’s research team. Ultimately two separate week-long units were designed, with only one implemented each year.
Data Carpentry lesson to learn how to work with Amazon AWS cloud …
Data Carpentry lesson to learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. The cloud is a fancy name for the huge network of computers that host your favorite websites, stream movies, and shop online, but you can also harness all of that computing power for running analyses that would take days, weeks or even years on your local computer. In this lesson, you’ll learn about renting cloud services that fit your analytic needs, and how to interact with one of those services (AWS) via the command line.
The stories in Living Proof are intended to provide support and inspiration …
The stories in Living Proof are intended to provide support and inspiration for mathematics students experiencing struggle and despair. If students keep working, if they keep seeking, they’ll be rewarded by serendipity, which is really just, as these stories remind us, the habit of mind to be engaged and to notice when something good has happened.
This lesson is part of Software Carpentry workshops and teach an introduction …
This lesson is part of Software Carpentry workshops and teach an introduction to plotting and programming using python. This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example, and is designed to be used in both Data Carpentry and Software Carpentry workshops. This lesson references JupyterLab, but can be taught using a regular Python interpreter as well. Please note that this lesson uses Python 3 rather than Python 2.
Principles of Economics covers scope and sequence requirements for a two-semester introductory …
Principles of Economics covers scope and sequence requirements for a two-semester introductory economics course. The authors take a balanced approach to micro- and macroeconomics, to both Keynesian and classical views, and to the theory and application of economics concepts. The text also includes many current examples, which are handled in a politically equitable way.
Principles of Macroeconomics covers the scope and sequence requirements of most introductory …
Principles of Macroeconomics covers the scope and sequence requirements of most introductory macroeconomics courses. The text also includes many current examples, which are handled in a politically equitable way. The outcome is a balanced approach to both Keynesian and classical views, and to the theory and application of economics concepts.
Principles of Microeconomics covers the scope and sequence of most introductory microeconomics …
Principles of Microeconomics covers the scope and sequence of most introductory microeconomics courses. The text includes many current examples, which are handled in a politically equitable way. The outcome is a balanced approach to the theory and application of economics concepts.
Principles of Microeconomics for AP Courses covers the scope and sequence for …
Principles of Microeconomics for AP Courses covers the scope and sequence for a one-semester Advance Placement Microeconomics course. The book is on the example textbook list for the AP course here. The text also includes many current examples, including; the Keystone Pipeline, Occupy Wall Street, and debates over the minimum wage.
This lesson in part of Software Carpentry workshop and teach novice programmers …
This lesson in part of Software Carpentry workshop and teach novice programmers to write modular code and best practices for using R for data analysis. an introduction to R for non-programmers using gapminder data The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. The lesson contains more material than can be taught in a day. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop. A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.
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