Merge pull request #35 from ha0ye/hao-copyedits

copyediting

content/about/audience.md

@@ -5,16 +5,16 @@ summary: "Description of intended audience for this material"
 ---
 
 The long-term goal of this site is to help two large groups of people: 1) Students in a classroom at a college or university; and 2) Self-guided learners, or folks who aren’t taking a formal class and are interested in learning online on their own time.
-We are starting with the classroom students and then attempting to build on the material generated to make it maximally useful to the broader audience of folks who want to learn about ecological forecasting and dynamics.
+We are starting with the classroom students and then building on the material generated to make it maximally useful to the broader audience of folks who want to learn about ecological forecasting and dynamics.
 
 * The material is designed to be accessible to graduate students and advanced undergraduates
 * It assumes a basic ability to read and engage with the primary scientific literature, but provides guidance for engaging with each paper to help students who are learning how to do this
-* It assumes a basic understanding of R, including loading tabular data, working with variables, loading packages, and running functions. Some experience with `dplyr` and `ggplot2` is also helpful. If you need a basic introduction to R we recommend checking out the Data Carpentry lesson materials on [Data Analysis and Visualization in R for Ecologists](https://datacarpentry.org/R-ecology-lesson/).
+* It assumes a basic understanding of R, including loading tabular data, working with variables, loading packages, and running functions. Some experience with `dplyr` and `ggplot2` is also helpful. If you need a basic introduction to R, we recommend checking out the Data Carpentry lesson materials on [Data Analysis and Visualization in R for Ecologists](https://datacarpentry.org/R-ecology-lesson/).
 
 Examples of folks who we are trying to help:
 
-Maya: An advanced undergraduate in natural resources who wants to understand what ecological forecasting is and how it might be applied in conservation and management. She has used basic R in some of her other courses and has just started reading the primary scientific literature in a classroom context.
+Maya: An advanced undergraduate in natural resources who wants to understand what ecological forecasting is and how it might be applied in conservation and management. Maya has used basic R in some of their other courses and has just started reading the primary scientific literature in a classroom context.
 
-Juniper: A graduate student with a thesis related to how populations change through time, but who doesn't know anything about how to model time-series. They want to learn how to build and analyze time-series models for their thesis projects and find the idea of forecasting interesting.
+Juniper: A graduate student with a thesis related to how populations change through time, but who doesn't yet know how to model time-series. Juniper wants to learn how to build and analyze time-series models for their thesis projects and finds the idea of forecasting interesting.
 
-Jaylen: A professor who understands that ecological forecasting is becoming important for students to learn and wants to develop either a full course or a seminar on the topic. He understands the main concepts, but doesn't know what the best papers would be best for teaching and doesn't have the time to develop a bunch of R tutorials.
+Jaylen: A professor who understands that ecological forecasting is becoming important for students to learn and wants to develop either a full course or a seminar on the topic. Jaylen understands the main concepts, but doesn't know what the best papers would be best for teaching and doesn't have the time to develop a bunch of R tutorials.

content/getting-started/_index.md

@@ -56,14 +56,12 @@ The course website is written in Hugo using the [Wowchemy Documentation theme](h
 
 The easiest way to create your own version of the course is the create a deployed course on Netlify via this template. You need a GitHub account to do this.
 
-Follow the Wowchemy instructions for [Creating a site with Hugo and GitHub](https://wowchemy.com/docs/getting-started/hugo-github-quickstart/),
-but instead of using the "Choose a template" button [click this template link](https://app.netlify.com/start/deploy?repository=https://github.com/weecology/forecasting-course).
+[Click this template link](https://app.netlify.com/start/deploy?repository=https://github.com/weecology/forecasting-course) to create a copy of the GitHub repository in your GitHub account. Then follow the Wowchemy instructions for [Creating a site with Hugo and GitHub](https://wowchemy.com/docs/getting-started/hugo-github-quickstart/), skipping the "Choose a template" button on that page.
 
-This will create a GitHub repository in your GitHub account and live version of the site.
 You can then edit files in the GitHub repository and they will automatically deploy to the website.
 
-Edit `config/_default/params.yaml` to match your version of course.
-In particular update the repository url to match the new repository you created.
+Edit `config/_default/params.yaml` to match your version of the course.
+In particular, update the repository URL to match the new repository you created.
 This will ensure that the `Edit this page` links on each page direct you to your version of the material.
 
 #### Locally
@@ -86,7 +84,7 @@ hugo server
 ### Modifying the Site
 
 * Most content is stored in one folder per lesson in the [`content/lessons` folder](https://github.com/weecology/forecasting-course/tree/main/content/lessons)
-* To add a new lesson make a copy of the [lesson template folder](https://github.com/weecology/forecasting-course/tree/main/content/lessons/LessonTemplate) and modifying the pages in the resulting folder using [markdown](https://www.markdownguide.org/)
+* To add a new lesson make a copy of the [lesson template folder](https://github.com/weecology/forecasting-course/tree/main/content/lessons/LessonTemplate) and modify the pages in the resulting folder using [markdown](https://www.markdownguide.org/)
 * To modify a lesson edit the markdown files in that lesson folder with the appropriate name. If you followed the instructions on installing on Netlify above, the easiest way to do this is to go to the page you want to edit on the deployed site and click the `Edit this page` link at the bottom.
 * To modify the schedule edit `content/schedule/schedule.md`. In the `lessons` section list the titles of the lessons you want to teach in the order you want to teach them. If you want to include specific dates for each lesson then edit the `dates` section to include those dates in the same order.
 
@@ -96,6 +94,6 @@ Contributions are always welcome!
 
 * [Open an issue](https://github.com/weecology/forecasting-course/issues/new) to say Hi or if there’s anything we can do to help!
 * Contributions of new lessons are welcome as Pull Requests or we can work with you to add new material and data to the site
-* If you want to create a modified copy of the course including the website either following the instructions for installing on Netlify above or fork/copy the repository and [connect it to Netlify](https://wowchemy.com/docs/hugo-tutorials/deployment/) to automatically build the site.
+* If you want to create a modified copy of the course including the website either follow the instructions for installing on Netlify above or fork/copy the repository and [connect it to Netlify](https://wowchemy.com/docs/hugo-tutorials/deployment/) to automatically build the site.
 
 For more information see our [CONTRIBUTING page](https://github.com/weecology/forecasting-course/tree/main/CONTRIBUTING.md)

content/syllabus/_index.md

@@ -8,7 +8,7 @@ weight: 20
 
 | Instructor      | Dr. Morgan Ernest (she/her) | Dr. Ethan White (he/him) |
 |-----------------|-----------------------------|--------------------------|
-| Office Location | on-line                     | online                   |    
+| Office Location | online                      | online                   |    
 | Email           | <[email protected]>         | <[email protected]>     |
 
 #### **Times and Locations**
@@ -44,11 +44,11 @@ discussion.
 #### **Course Participation**
 
 The course is designed so that students may participate synchronously or asynchronously in the course. 
-Students may shift between synchronous and aynschronous participation as needed. 
+Students may shift between synchronous and asynchronous participation as needed. 
 
 ##### Paper discussions:
 Synchronous participation: During the assigned course time, synchronous discussions of assigned papers 
-will occur over zoom. In-class group discussion about the assigned papers paper. 
+will occur over zoom. 
 This discussion is generally centered around the discussion questions that are provided 
 in advance but may also expand beyond them. Our goal is to produce a classroom environment where
 everyone is comfortable participating in class discussions. We will try to manage discussions so 
@@ -60,16 +60,16 @@ Asynchronous participation: Students may opt to participate asynchronously by pr
 
 ##### R-tutorials
 
-Most weeks we have an R-tutorial session on Thursdays. R-tutorials consist of a video that all students (synchronous and asynchronous) students are required to watch before the thursday class time. Synchronous class time on R-tutorial thursdays is dedicated for students to ask questions, get clarification, or help with their r code. Asynchronous students are encouraged to post their questions to the course discussion board on canvas.
+Most weeks we have an R-tutorial session on Thursdays. R-tutorials consist of a video that all students (synchronous and asynchronous) students are required to watch before the Thursday class time. Synchronous class time on R-tutorial Thursdays is dedicated for students to ask questions, get clarification, or help with their R code. Asynchronous students are encouraged to post their questions to the course discussion board on canvas.
 
 #### **Course Grading**
 
-* 50% of grade will be based on paper paper discussion
-* 50% of the grade will be based on completing R tutorials
+* 50% of grade will be based on paper discussions
+* 50% of the grade will be based on completing R-tutorials
 
 #### **Attendance Policy**
 
-Two class days can be missed without impacts on your grade without the need
+Two class days can be missed without impacts on your grade -- there is no need
 to submit make-up work, though we recommend that students attempt any 
 missed class activities on their own time because additional class 
 activities or discussions may rely on that knowledge.