Editing Human Centered Data Science (Fall 2019) (section)

=== Academic integrity and plagiarism ===

Students are expected to adhere to rules around academic integrity. Simply stated, academic integrity means that you are to do your own work in all of your classes, unless collaboration is part of an assignment as defined in the course. In any case, you must be responsible for citing and acknowledging outside sources of ideas in work you submit. 

Please be aware of the HCDE Department's and the UW's policies on plagiarism and academic misconduct: [https://www.hcde.washington.edu/policies/plagiarism-and-academic-conduct HCDE Academic Conduct policy]. This policy will be strictly enforced.

The University takes academic integrity very seriously. Behaving with integrity is part of our responsibility to our shared learning community. If you’re uncertain about if something is academic misconduct, ask me. I am willing to discuss questions you might have.

Acts of academic misconduct may include but are not limited to:

* Cheating (working collaboratively on quizzes/exams and discussion submissions, sharing answers and previewing quizzes/exams)
* Plagiarism (representing the work of others as your own without giving appropriate credit to the original author(s))
* Unauthorized collaboration (working with each other on assignments that are intended to be completed on an individual basis)

Concerns about these or other behaviors prohibited by the Student Conduct Code will be referred for investigation and adjudication by (include information for specific campus office).

Students found to have engaged in academic misconduct may receive a zero on the assignment (or other possible outcome).

Other academic integrity resources:
* [http://www.washington.edu/teaching/cheating-or-plagiarism/ Center for Teaching and Learning: Cheating or Plagiarism]
* [https://depts.washington.edu/grading/pdf/AcademicResponsibility.pdf University of Washington Student Academic Responsibility (PDF)]