ENS-215 Homework Syllabus

Week 10

Extra credit assignment (optional)

  1. DataCamp Working with Geospatial Data in R chapters 3 (“Raster data and color”) and 4 (“Data import and projections”)
    • Assigned: 11-Mar
    • Due: 18-Mar

Week 9

Readings

Assignments

  1. DataCamp Working with Geospatial Data in R chapters 1 (“Basic mapping with ggplot2 and ggmap”) and 2 (“Point and polygon data”)
    • Assigned: 4-Mar
    • Due: 13-Mar

Week 8

Assignments

  1. DataCamp Modeling with Data in the Tidyverse chapters 3 (“Modeling with Multiple Regression”) and 4 (“Model Assessment and Selection”)
    • Assigned: 25-Feb
    • Due: 4-Mar

Week 7

Readings

Assignments

  1. DataCamp Modeling with Data in the Tidyverse chapters 1 (“Introduction to Modeling”) and 2 (“Modeling with Basic Regression”)
    • Assigned: 15-Feb
    • Due: 25-Feb

Week 6

Readings

  • Tidyverse style guide, Chapters 1, 2, 4
    • Excellent guide to proper usage of style, formatting, and syntax in R. Read this with care and where applicable you should begin implementing these style tips in your code. Note that “style” is more than just cosmetic – good style makes your code human readable and makes sharing and editing code significantly more efficient and less prone to error.

Assignments

  1. Final project proposal
    • Assigned: 7-Feb
    • Due: 13-Feb

You should Knit your proposal to an .html file and submit it on Nexus.

Week 5

Readings

Assignments

  1. DataCamp Working with Data in the Tidyverse chapters 1 (“Explore your data”) and 2 (“Tame your data”)
    • Assigned: 1-Feb
    • Due: 6-Feb
  2. DataCamp Working with Data in the Tidyverse chapters 3 (“Tidy your data”) and 4 (“Transform your data”)
    • Assigned: 1-Feb
    • Due: 8-Feb

Week 4

Readings

Assignments

  1. DataCamp Data Visualization with ggplot2 (Part 1) chapters 1 (“Introduction”) and 2 (“Data”)
    • Assigned: 25-Jan
    • Due: 30-Jan
  2. DataCamp Data Visualization with ggplot2 (Part 1) chapters 3 (“Aesthetics”) and 4 (“Geometries”)
    • Assigned: 25-Jan
    • Due: 1-Feb

Week 3

Readings

Assignments

  1. DataCamp Introduction to the Tidyverse chapters 1 (“Data wrangling”) and 2 (“Data visualization”)

    • Assigned: 18-Jan
    • Due: 23-Jan

  2. DataCamp Introduction to the Tidyverse chapter 3 (“Grouping and summarizing”)

    • Assigned: 18-Jan
    • Due: 25-Jan

Week 2

Assignments

1. Complete the “Conditionals and Control Flow” and “Loops” lessons in the DataCamp “Intermediate R course”

  • Assigned: 11-Jan
  • Due: 16-Jan

2. Complete the “Functions” lesson in the DataCamp “Intermediate R course”

  • Assigned: 14-Jan
  • Due: 18-Jan

Week 1

Assignments

1. Download R and RStudio: You will first need to download R and then RStudio. To download R go to this link and download R. You will see links for Mac and Windows users (make sure to select the appropriate one for your computer). Download the program and then install it.

Once you’ve downloaded and installed R, then you will need to get RStudio. Go to this link and download the “Installer for Supported Platform” that corresponds to your computer (i.e. Mac or Windows). Download and install the software.

  • Assigned: 7-Jan
  • Due: 9-Jan

2. Accept the invite to our DataCamp class and complete “Introduction to R”

  • Assigned: 7-Jan
  • Due: 14-Jan

3. Sign up for RStudio Cloud

You will recieve an invitation to join our RStudio Cloud group. You should accept this invitation and create an account if you haven’t done so already.

  • Assigned: 7-Jan
  • Due: 9-Jan

4. Get a binder to hold your course notes and bring to all future classes

  • Assigned: 7-Jan
  • Due: 14-Jan

5. (Optional) Complete Chapter 1 “Orientation” in the DataCamp “Working with the RStudio IDE (Part 1)”

  • This is optional but strongly recommended. It will help you understand RStudio much better.