Policies

This syllabus and the dates herein are subject to change.

Class

This class is meant to be hands on. Therefore, you are responsible for reading pertinent material prior to each class.

Attendance

If you feel unwell please do not come to class. All class material will be posted after class and I would be happy to meet outside of our class time to help you catch up if needbe.

Accessibility Policy

Wake Forest University provides reasonable accommodations for students with disabilities. Academic accommodations are coordinated through the Center for Learning, Access, and Student Success (CLASS). If you would like to request accommodations for this course, you should contact CLASS as early in the semester as possible (class.wfu.edu,118 Reynolda Hall). Please contact me privately after sending notifications through the CLASS office Student Portal system. Retroactive accommodations will not be provided.

How to get help

Discussion:

All course discussion will be on Canvas.

This is a place to post your course-related questions. I encourage you to try to answer each other’s questions. At the end of the semester, I will tally up the total number of questions answered and you can get up to 1 point extra credit on your final grade.

Math & Stats Center:

Honor code

Wake Forest University is committed to a culture of academic integrity. As a part of this community, you share the responsibility for creating a place of honesty, intellectual curiosity, and individual accountability. As you committed to with your honor pledge signature, you agree “not to deceive any member of the community; not to steal, cheat, or plagiarize on academic work; and not to engage in any other form of academic misconduct.” If you have questions about documenting your work, working with external sources, working with peers on assigned work, etc., consult with me as soon as possible. Instances of academic dishonesty will be referred to the Honor and Ethics Council.

Sharing code & responses

  • There are many online resources for sharing code (for example, StackOverflow) - you may use these resources but must explicitly cite where you have obtained code (both code you used directly and “paraphrased” code / code used as inspiration). Any reused code that is not explicitly cited will be treated as plagiarism.
  • Rather than copying someone else’s work, ask for help. You are not alone in this course!

Course components

Application exercises

These will start in class and should be finished by 5pm ET the following day.

Labs

The objective of the labs is to give you hands on experience with data analysis using modern statistical software. The labs will also provide you with tools that you will need to complete the project successfully. You are welcome to work on these with other members of this class. If you do so, please acknowledge your collaborator(s) at the top of your assignment, for example: “Collaborators: Gertrude Cox, Florence Nightingale David”. Failure to acknowledge collaborators will result in a grade of 0. You may not copy answers directly from another student. If you copy someone else’s work, both parties will receive a grade of 0.

Check-ins

We will periodically have assessments to check in with our learning goals.

Grading

Your final grade will be comprised of the following:

Application exercises 5%
Midterm 20%
Check-ins 25%
Labs 30%
Final 20%

Grades conversion:

Letter Numeric
A >94
A- 90 - 94
B+ 87 - 89
B 83 - 86
B- 80 - 82
C+ 77 - 79
C 73 - 76
C- 70 - 72
D+ 67 - 69
D 65 - 66
F Below 65

Late / missed work

  • Late work policy for labs:

    • late, but within 24 hours of due date/time: -50%
    • any later: no credit

  • No make-up assessments will be given.

  • All regrade requests must be discussed with the professor within one week of receiving your grade. There will be no grade changes after the final class.