Course Policies
CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Autumn 2019
Rationale: Effective learning requires that each student be actively engaged in the subject matter and activities of the course. The course is structured to foster that engagement in several ways, including working together as a community on in-class activities, and appropriate challenges in assignments and the project.   Course Community and Participation: All the students in CSE 415, the teaching assistants, and the instructor form a community. As a community, we can work together to help each other learn. The first step in allowing this to happen is for each person to be present at class meetings. Regular attendance in class is strongly encouraged, and systematic absences will have a direct effect on the class-participation part of the course grade.   Time Investment: As for most three-credit courses at the University of Washington, students are expected to devote approximately 9 productive hours to the course per week. Actual demands will vary with the material and individual student. Each student is required to stay up to date with assignments, in order for the class to work as a community.   Lateness: Assignments turned in late will have their scores multiplied by a fraction F that depends on the number L of days late. If L = 0, then F = 1. If L > 0 but L ≤ 1, then F = 0.9. If L > 1 but L ≤ 2, then F = 0.8. If L > 2 but L ≤ 3, then F = 0.7. If L > 3, then F = 0.0.   Collaboration or not: Each student will have at least one opportunity to work in a partnership on an assignment to implement a demonstration of one or more techniques of artificial intelligence.   Except when explicitly permitted, students are expected to turn in their own individually produced solutions to homework problems. Turning in the work of another as one's own is considered as a serious form of academic misconduct. The University has strict rules and penalties that apply when evidence of such misconduct is found.   Religious Accommodations: UW Policy   Grading: The following is a tentative formula for weighting the various course components for computing final grades: Assignments 1-7 plus Project and any extra credit: 50 percent Exams: 40 percent Class participation: 10 percent The score for each assignment, participation item, or exam will be posted in Catalyst GradeBook when it is available. Points within each category (exams, etc.) will be rescaled at the end of the quarter in order to bring them into conformity with the weighting above.   Online Resources: This offering of CSE 415 makes use of the following online resources: (a) This website, hosted in the Paul G. Allen School of Computer Science and Engineering, for course information, including policies, readings, lecture slides, and assignment specifications; (b) Canvas, hosted by UWIT, for turning in assignment files, for hosting assignment feedback from the graders, and for access to Panopto recordings of lectures; (c) us.edstem.org, for online discussions; (d) Gradescope.com, for post-examination reporting; (e) Python.org, for downloading Python 3.7, which is needed in most of the assignments.