General information
Below are basic descriptions of each category of assignments for this semester. More details are available on the individual pages for each assignment. Please be sure to check the due dates on each assignment. Late assignments will receive an automatic 2% reduction in the grade for each day the assignment is turned in after the due date.
Homework
Please submit all of your homework answers as a PDF through Canvas. You can use Word and “print” to PDF, but I also encourage you to use Overleaf, which will help you to easily create PDFs and is much better for writing math-oriented documents. Overleaf is also fully cloud-based, and as an Emory student, you have full access to Overleaf Professional.
The only requirements for your submissions are: 1) they are submitted as PDFs; and 2) your answers are legible and organized. Please DO NOT write tiny answers in margins of papers, scan as PDF, and submit. I will deduct some points for these types of submissions, depending on how egregious it is.
Each homework assignment is worth 60 points toward your final grade, consisting of 20 individual parts (think 4 or 5 questions each with 4 or 5 individual components). You should expect each part of each question to be worth 3 points. Each part will be graded as follows:
- 3 points: Correct answer
- 2 points: Good try and close, but with minor mistakes
- 1 point: Incomplete work but an attempt nonetheless
- 0 points: No work toward the answer (e.g., completely blank or some initial equation written without any attempt to solve)
All of the homework assignments have both a “theoretical” section and an “empirical” section. The empirical work is intended to meet two requirements: 1) it must be accessible and achievable for someone without a background in data analysis; and 2) it must involve real-world data. These two objectives are somewhat conflicting, but I’ve done my best to pre-clean the data so that things are simple on your end.
The empirical part of the assignments can be completed in any data software, including Excel. I also provide the data in R
format if you’re familiar with that language. If you’d like a refresher on R
or would like to give it a shot from scratch, take a look at some of the links on our resources page.
Exam
We only have one exam this semester, and it will cover content from Modules 1 and 2. The exam is worth 60 points toward your final grade. Please see the Mid-term Exam page for more details.
Project
We do not have a final exam in this class. Instead, we have a final project that asks you to use real data and interpret some summary statistics in the context of the material we’ve covered in class. The final project is due on the date of our final exam, which is May 2nd this year. The project is worth 140 points toward your final grade.
Please see the Final Project for more details.
Participation
“Participation” will be graded based on how many of the individual participation elements are submitted. Throughout the semester, I will post “check-in” questionnaires on Canvas. I anticipate 6 check-ins total for the semester. Each check-in will ask questions about what you’ve learned in a given module so far, areas where you are confused, things that we do in class that you think are working, and things that we do in class that you think are not working. Completion of the check-in will provide 1 participation point.
We will also have regular in-class exercises. You can think of these as practice problems that we work on collectively as a class. Completing these exercises is also worth 1 participation point.
At the end of the semester, I will tally your participation points, and your final participation grade will be out of 20 possible participation points. We’ll have well over 20 total participation points available, so you have some margin for error here.