Thinking outside the textbook

understanding Course projects

What is it like to do a written course project for a math course? 

Here is a typical setup from my non-linear algebra course.

What is it like to do a written project for a statistics course? 

Most of the information above (about math courses) applies here, particularly the parts on learning, writing, and presenting. The difference is that a stats project may include a data analysis and/or programming component, which adds complexity to the writing but also adds a really nice applied angle. 

The stats project write-up is expected to be in human-readable format even if it involves data analysis and code. Using Markdown is a best practice. 

More information coming soon. 

Check out these resources for using Markdown in your writeup. 

Sample Evaluation rubrics

Each project is typically graded as a research paper. That is, it undergoes a two-stage peer review process: students evaluate each other's work anonymously. 

But, why?
Because your peers are your audience! If they can't understand what you wrote, then you need to write it better. In my experience, students give excellent peer feedback, hints, tips for improving the paper, etc. 

Of course, I also grade each project and each peer review. To see what is expected of you in the project's various stages of writing, check out sample rubrics below. 


Project outline


Project draft


Draft peer review




Paper peer review

These sample grading rubrics were borrowed from Greg Smith and used in Math 431/530 Fall2020Here is a link to the project requirements document for that course: